Biometric Gun Safe For Emergency Preparedness

Civil unrest, intense weather, and the Great Recession have caused people to think a bit more about how to keep themselves safe and secure. Many people have come to realize this, and gun sales in the United States have skyrocketed. <br><br>While police officers can help, they are not adequate protection for keeping citizens safe at all times. In rural areas, long guns are the preferred guns for home protection. This includes shot guns and rifles. Conversely, people living in the suburbs and the cities tend to own hand guns. <br><br>Regardless of whether you choose a hand gun or a long gun, you need to have a nice safe to take advantage of. Personally, I think that the <a href="http://goarticles.com/article/Biometric-Gun-Safe-The-Best-Safe-For-Emergencies/5692199/" target='_blank'>biometric gun safe</a> is the best safe to have in one's home. An electronic fingerprint safe will allow you to hold your guns in a manner that allows you to get them quickly. It also keeps others from getting to them at all. <br><br>For those of you that don't know what a biometric gun safe is, I'll try to explain. The biometric gunsafe allows one entry though the use of a finger print reading. This type of safe will be set to allow entry to only a select few people that have registered their fingerprints with the safe. <br><br>The reason this is so great is that it allows folks to get to their gun without fumbling around for a key or attempting to remember a combination. Guns are great for preparing for emergencies, but they are useless if you can't get to them when that emergency happens. <br><br>Traditional <a href="http://goarticles.com/author/chris/853062/" target='_blank'>gun safes</a> are fantastic for keeping guns out of the wrong hands. Sadly, an old time gun safe will keep its owner out of it during times of crisis. This is a result of them being difficult to access during a crisis. <br><br>The owner of a traditional safe needs to have their key on them at all times or they will be locked out of their safe. In an effort to solve this problem, people created combination safes. Sadly, these safes also have problems that the owner has to deal with. <br><br>Firstly, the owner must remember their combination during a crisis situation. Imagine trying to remember your combination during a life and death situation. In addition to this, a combination lock is not always the swiftest medium for getting into a safe. When a person uses a combination lock, he or she has to spin the lock several times. One wrong move and they have to start the process all over again. <br><br>Biometric devices completely eliminate these problems by allowing the user to push his finger to the safe and get in quickly and easily. As a result, my thought is that the biometric gunsafe is the best safe to have your gun in during an emergency. <br><br>My site about the biometric gun safe will explain more about this. You'll be able to access it by visiting http://www.biometric-gunsafe.com/

Future X-Cops (2010) Full Movie With Eng Sub

Future X-Cops (2010) Full Movie With Eng Sub

Storyline

A cop travels back in time to take on a corporation that's out to eliminate a doctor who has created a new technology which can break up the monopoly on a energy resources.

Genres:
Sci-Fi , Action

For More Info : http://www.imdb.com/title/tt1337055/

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A Biometric Gun Safe To Avoid Accidental Injuries

A biometric gun safe is the perfect accessory to your in home gun. <br><br>An average of 200 youths, aged 19 years old and below, was reported to have been killed due to an accidental firing of a gun. This is why if you are planning to have a gun, take another $200 off your wallet to buy a biometric gun safe. Its always better to be safe than to be sorry. <br><br>Boys will be boys and their is nothing we can do about that. However, we can lock things down on our end. No matter how high up the cabinet you store the gun, the children&rsquo;s curiosity will always get the better of them. Also, the kids just love to boast with other kids. Some kids will try to get at their parents guns just so that they can show them off to their mates. If you believe that the kid will not know where you hid the gun just because you placed it there when the child was not around, think again. Children are craftier than their parents like to think. They are event smarter, faster, wittier and quicker than adults. <br><br>It used to be that a <a href="http://www.biometric-gunsafe.com/" target='_blank'>biometric gun safe</a> was really made expensive, costing about half of the price of the gun. As years go by and competition has gotten intense, the prices really went low. <br><br>I mentioned earlier that you could just set aside $200 for a biometric gun safe, but that&rsquo;s the average price. This means that it can even be lower than that just like the BioBox RFID keyless gun at ebay, which costs only $111. The one on Ebay is designed to be placed in automobiles, but it could also be used in a bedroom or living room. <br><br>The biometric gun safe is now the most popular safe in the market because when a burglar comes, you don&rsquo;t have to fiddle with the key of the safe or finger the combination of the vault. You just have to put on your finger for scanning. You can also place other valuable items in the safe for when you are not home to protect them. Although, a biometric gun safe is better for just guns and have the jewelry in an attached wall vault because you don&rsquo;t need it right away anyway. The gun, you need in a jiffy for self defense.

Future X-Cops (2010) Full Movie With Eng Sub

Future X-Cops (2010) Full Movie With Eng Sub

Storyline

A cop travels back in time to take on a corporation that's out to eliminate a doctor who has created a new technology which can break up the monopoly on a energy resources.

Genres:
Sci-Fi , Action

For More Info : http://www.imdb.com/title/tt1337055/

For More Movies Please Subscribe.

THANKS

Dispose Of The Dial Up And Just Begin Using A Biometric Gun Safe

Individuals who own a gun knows that the best place to secure a weapon would be a <a href="http://www.biometric-gunsafe.com" target='_blank'>biometric gun safe</a> The only problem with a biometric gun safe is that it can be a bit expensive that and many gun owners cannot afford to buy one. <br><br>There is however a solution to this problem. You&rsquo;ll find that even average gun owners can still find a way to protect their weapons without spending a fortune.<br><br>Some people have a misconception of what biometric safes are and how they are used. The biometric gun safe can only be opened or accessed by the gun owner and no one else. The reason for this is that a biometric safe needs the scanned fingerprint of the owner of the safe. The cost of purchasing one of these in the past years would cost you a fortune, luckily nowadays they are affordable.<br><br>Exactly how do these biometric safes function? <br><br>Basically this type of gun safe can be opened through scanning the fingerprints of the owner. If you have seen the movie James Bond then perhaps you will know what I am talking about. Without the person&rsquo;s physical body any person cannot open the safe.<br><br>This is the safest equipment to keep a gun in. No need for a key or a secret combination number because it can just be accessed with the person&rsquo;s finger. If you talk about safety, this is the only type of equipment that can be accessed quickly during an emergency like a fire, hurricane, break in or other life changing event. <br><br>A lot of individuals make use of biometric gun safe due to the reason that it can be conveniently opened with the use of a finger only. It is already a fact that some people have a difficulty remembering a set of combination numbers. Aside from that, even if a person does not forget the combination number to unlock the safe, the thought of fiddling with a dial lock of the safe during the night can be time consuming when there is a disaster or emergency. <br><br>One of the obvious disadvantages of using a dial lock is their numbers are too small that and men who have big fingertips have a hard time inputting the combination especially during emergencies.<br><br>Using a biometric gun safe is much better compared to the traditional dial lock gun safe. With only a press of your fingers you can have access to your gun. <br><br>If you desire to learn more about this please pay a visit to my website at <a href="http://www.biometric-gunsafe.com" target='_blank'>biometric gun safe</a>.

Barska Biometric Safe - On Sale!

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If you are in the market for a great biometric gun safe, look no further. The barska biometric safe is the number one selling safe on Amazon and has been for several years. Purchasing a gun safe can be expensive. That's why the barksa biometric safe out sells the competition. It's an affordable gun safe and it's durable. The barksa biometric safe holds up to 30 unique fingerprints and fits just about anywhere. In your closet, under your bed, and even mounts to the wall. Biometric safes are the future in gun safe storage. It's important to practice safe gun storage especially when you have kids in the house. The barska biometric safe provides security against accidents and provides quick access in case there is a break in or fire.
I've done all the research on the barska biometric safe and found the best prices at Amazon dot com. go now to http://barksabiometricsafe.net for more details.

Biometrics With Power Lunch School Cafeteria Software

The Power Lunch Lines They Are A Changing L 1

Biometric M2SYS Technology software is used with power lunches Point of Sale (POS) software in various power school cafeteria customer area schools the whole country for accurate and unquestionable control of the meal credits. Bio-SnapOn, a biometric fingerprint system M2SYS Technology, allows schools to use the power module power lunch to school a safe, reliable fingerprint system setup to more accurately and efficiently identifying students. Together, power lunches and Bio-SnapOn to quickly and unambiguously lunch checkout line that can easily communicate with back-end accounting and inventory systems easier. L 1

Power Lunch Biometric POS Software Systems L 1

The fast world of power lunches POS environments demands of today's user-friendly software that can handle transactions with speed and accuracy in order to maximize profits without compromising compromising accuracy and safety. A power lunch biometric software system eliminates the need for students to remember a PIN or ID if they use a bar code to the register. The student simply scans their finger on the fingerprint reader and immediately established their identities and transactions are recorded. The process is fast, safe, reliable and accurate. It keeps the flow of the power lunch line so students sometimes only 30 minutes or less before their lunch period to get in and out as quickly as possible. In less than 20 minutes, setting up schools and enroll students beginning in the system for future identification.

More power school approval Biometric Technology 1 L

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Biometric Solutions for School Lunch Line Point Of Service

The Lunch Lines They Are A Changing L 1

Modern lunch line one day point of sale (POS) software requirements the ability to simply ring a sale and generate a receipt to transcend. There are plenty of areas that school food service POS technology to address, ranging from quick and accurate check the safety of pupils requires a flexible and versatile POS system that easily interfaces with back-end accounting and inventory systems . Many schools are entering PIN pad or bar code scanning systems, but later find that students often have their PIN # 's or forgotten their ID cards at home to render logjam in the lunch line, frustrated staff and students ashamed. Even worse, the bullies PIN # or ID card to steal from another student and fraudulently use it to pay for their own meals. The question is, how do you implement a lunch line POS software system that smooth operations and the lunch line flow, yet keep student safety, security and accountability first? Many schools are turning to affordable and secure biometric fingerprint recognition solutions as the answer.

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Biometric POS Software Systems L 1

The fast world of today's lunch line POS environments require user-friendly software that can handle transactions with speed and accuracy in order to maximize profits without sacrificing accuracy or safety. A biometric POS software system eliminates the need for students to remember a PIN or use a barcode ID when the registry. The student simply scans their finger on the biometric hardware and direct their identity is established and transactions. The process is quick, safe, reliable and accurate. It maintains the flow of the line so that students sometimes only 20 minutes or less for their lunch period to get in and out as quickly possible.

More Schools Adopt biometric technology L 1

More and schools are turning to affordable biometric POS system as a reliable component of their cafeteria management software technology to secure systems to believe that hedge against losses by stimulating the accuracy and security of transactions. Fingerprint recognition has become the mainstream biometric modality of the many lunch line POS systems, but when Biometric technological advances have developed, more schools opt for advanced biometric technology, such fingervein, palm vein and iris recognition as their modality of choice because of the inherent benefits contained in this hardware modalities such as lower False Acceptance rates and a more hygienic scanning environment.

Privacy Concerns L 1

There are many rumors about biometrics and the viral privacy implications for children. Some fear that if a hacker breaks into the school computer system and steals a biometric template, the damage is irreversible and can not be corrected. Others say that if a biometric template is set for a child, give free rein to any government agency for lawful access to that template for a national register of biometric identification information network. The truth of the matter is that registration biometric templates stored on a server are not really an image of the fingerprint at all. They are a mathematical representation of the data points that a biometric algorithm extracts from the scanned fingerprint. The algorithm then uses the template to positively identify a child at subsequent fingerprint scans. no image of the fingerprint is ever stored or transmitted over a network. In addition, the algorithm is "One Way", which means that the template is extracted can not be used to recreate the original fingerprint. In other words, it is almost impossible to reverse the data sent an engineer to positively identify a child successfully "steal" their biometric identity.

Biometrics are the future - Bar codes and PINs are not L 1

As more schools adopt biometric identification technology for their lunch line point of service needs, word is quickly spreading about the various benefits that biometrics can bring to the efficient management of cafeteria. The cafeteria lunch line focus on best practices through the years has grown to develop faster and smarter ways of planning and execution of tasks with fewer staff, less overhead and higher security. biometric technology fits well in this evolution because it offers speed and flexibility voor identification of students and can be easily linked in most existing cafeteria management software systems at a very affordable price. The advantages barcodes (no card to forget with biometric identification) and PINs (no longer necessary numbers to remember), and schools a modernized form of student identification to enter the peace of mind that their students are safe and quickly through the line. If you have not heard about the benefits of biometric technology that we can encourage, or for more information.

John Trader is a Communication Specialist with M2SYS Technology, a recognized industry leader in biometric identity management technology.  Headquartered in Atlanta, GA M2SYS Technology's mission is to pioneer the high-tech industry by delivering long-term value to customers, employees and partners through continued innovation and excellence in all aspects of our business. M2SYS continues to innovate, build and bring to market leading-edge biometrics solutions that revolutionize the industry and expand the applicability of biometrics technology in our marketplace.  You can view their Web site at www.m2sys.com or contact him via e-mail at john@m2sys.com

Why An Individual May Wish To Take Advantage Of Fingerprint Safes

Home finger print safes are increasing in popularity each and every year. In the past only the rich had access to this kind of advanced technology. This was simply because this technology tended to cost a lot of money. It just didn't make sense for the everyday person to spend thousands of dollars to lock up items that cost much less than that.

These days however, biometric safes are not expensive at all. A person can buy this type of safe for less than two hundred dollars. Compare this to the price of a traditional combination lock or key safe and you'll see the cost is not that much higher.

There are so many reasons why a person would want to use a technologically advanced safe over the more traditional ones. For starters, they allow you to get into your safe without the use of a key or password. This means that you no longer have to have a safe key on your key chain and you no longer have to memorize passwords.

Another thing that is great about this safe is the fact that you can get into it very quickly. You simply place your hand or finger in the reader and within a few seconds your safe is open. It really doesn't make any sense to waste time with a key or combination safe when you could use a biometric one.

People that use their safe to lock up their guns will especially benefit from using this type of safe. We all know that being able to get to your weapon quickly in an emergency situation is critical. This type of safe will allow your gun to be safely locked up while still being readily accessible.

In addition to this, the biometric gun safe can be quickly opened even when the lights are out. Leaving the lights off while you access your weapon may help fool your invader into thinking you have not yet awakened.

Now that you know what kind of benefits these safes have to offer, you are probably considering buying one. However, you do need to be careful before making your final purchase. You'll want to consider a few very important buying decisions before you spend any money.

You'll want to consider issues such as backup access, storage capability, and power sources. For instance, these safes will not hold an infinite amount of fingerprints in them. Getting a safe that allows you to store the finger print signature of each intended user is something you need to focus on.

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Security fears in the field of biometrics – a real inhibitor of diffusion

Introduction L 1

In to show the concept of security in biometric technologies, one must answer the following questions: 1 L

  • What is biometrics?
  • Which biometric information is captured during the registration process?
  • How is this information communicated to a central point?
  • When is this information stored?
  • What measures have been taken to secure the biometric data is stored?

What is biometrics? L 1

Biometrics (ancient Greek: bios life, metron measure) introduces the technology and methods for recognizing individuals unique based on one or more intrinsic physical or behavioral characteristics. By including a mathematical representation of a unique biological feature (registration), the future samples of similar characteristics can then be compared with the original sample to verify that they come from the same person (verification). L 1

A some biological characteristics can be used to define unique in man. Of those who are primarily focused on applications of biometrics, fingerprints, vein patterns, iris features, facial features and voice patterns are the most popular.

All these modalities listed under physiological features category. Behavioural features that can be used in biometrics signature recognition, gait analysis, and typing or keystroke biometrics dynamics.

What biometric information is captured during the registration process? L 1

For both security and performance reasons, manufacturers of biometric access control devices use a principle called "feature extraction" to striking unique features of a person without injuring an exact replica of the modality used.

slaan

For example is fingerprint biometrics, rather than recording an image of the fingerprint of the person, information within that image that ensures uniqueness, it would mathematically be extracted and saved to the person identity.

This called a 'template' and would typically include vectors and / or data points mark various unique features.

By by algorithms for image processing, the software in the device is capable of identifying Ridge Endings (where the lines in the fingerprint ends) and Ridge bifurcations ( where the lines to split into two). These are also known in the industry as minutiae points. L 1

By storing only the position and direction of the Ridge and Ridge Endings bifurcations, the software is able to capture the uniqueness of each person, with a limited amount data.

The same principle applies to all other biometric modalities, it the face, iris, voice, or subcutaneous vein patterns.

How is this information communicated to a central point? L 1

Once the templates are included, it must normally be sent through a communication channel to a central point. One could argue that this is not necessary, and that information must be maintained on the device only. But the practical truth is that, except for very small deployments, the last thing they want is to re-enroll every person in the company on any device that some of these access-control perimeter.

will vormen

Communication, RS232, RS485, TCP / IP, or custom protocols, all are exposed to a certain degree of "to hack". L 1

We have all seen how high encrypted secure internet communications compromised biometric templates via a network transmission line will have -. At least - the same level of risk exposure.

Where is this information stored? L 1

Once the templates on the destination, how is it persisted? In a flat file on a hard drive? In a weakly protected set of tables where anyone who can Google, can find a way to access? Whether it is saved with an acceptable level of encryption in a well-designed digital locker? L 1

But fears and concerns are real and often well-founded L 1

Anecdotal show proof that

  • Not all biometric devices use the singular template extraction.

In other words - to either save the complete image, or save enough of that image, which is a good likeness of the original image (finger / eye / face) can be reconstructed later.

  • Not all network communication is encrypted.

Even if it is not possible to use the biometric device to collect the biometric information access, interception of network packets is still Child's-play if one has access to the right tools.

  • Not all databases are created equal

There are a number of solutions in the market for storage of templates in their regular digital files in a predefined directory structure Likewise, databases -. Including those "free" ones that everything we have on our PCs - are a farce when it comes to its ability to truly protect your data.

So what to do if I want to implement biometric technologies in my company? L 1

  • Make sure your biometric devices do, in fact, perform template extraction. and confirm that these algorithms are done in a unique, irreversible format so it is not possible to reverse-engineering of the original image (fingerprint, eye, face, etc). Such a format that most of the leading biometric companies continuously strive to meet, the Minex (Minutiae Interoperability Exchange) standard. You can read more about this on the NIST (National Institute of Standards &; Technology) website
  • Limit the communications network to a minimum. Try to follow the rules around who can go where, when, on the biometric device, and sending fingerprint templates to only those occasions where it is absolutely necessary. This would in fact be limited to the time of the first take-over.
  • Protect your data. One can write books about database security. It is of no use as the templates residing in a 128-bit encrypted database, but your IT guy knows the password when he needs to perform daily backups of the database.

Human Dynamics L 1

There is a clear concern in the use of biometrics as a unique identifier of a person.

unsafe security L 1

If password to your online banking is discovered, you can easily change Likewise. "If someone finds the piece of paper with writing on your computer password, you can always change you it.

But biometric identification in jeopardy, what then? L 1

fear of persecution : L 1

The strong association between fingerprints and law enforcement have proven a major obstacle to the successful adoption and infusion of biometric access control systems. What guarantees can you give your employees that you do not send their fingerprints to police a form of centralized legislation? L 1

In South Africa, criminal justice (forensic procedures) Amendment Bill is currently on the table for review. This bill, which proclaimed, the path the way for unified access to the SAPS AFIS system, Home Affair's Hanis system, and the Ministry of Transport, E-Natis system.

Great news for most of us! But not all of us ... L 1

Summary L 1

Biometric systems, whether implemented at border controls, law enforcement, access control, or time and attendance, has the potential of simplifying our lives if , we take note of the fact that we are dealing with human beings. This technology has touch-points with the human dynamics that have never before been performed. Not on this scale, we anyway.

If a more holistic approach to implementing this technology, we can find that's more important to sell the concept to your staff, trade unions and shop stewards, then sell to your board of directors .

Liam is the Technical Director and CIO at Accsys (Pty) Ltd. Starting out his career as an electronic engineer at Iscor, he gained vast experience in mission-critical database implementations. Liam has a keen interest in signal processing applications, biometrics and related algorithms, artificial intelligence, and software development. He is an outspoken open-source proponent and has been involved in numerous open-source projects.

With biometrics power lunch cafeteria Software

The Power Lunch Lines They Are A Changing L 1

Biometric M2SYS software technology is used in combination with power lunch Point of Sale (POS) software in various power school cafeteria customer area schools throughout the country for an accurate and indisputable monitoring of meal credits. Bio-SnapOn, a biometric fingerprint recognition system M2SYS Technology, allows schools using the power module power school lunch setting up a secure, reliable system with fingerprints more accurately and efficiently identifying students. Together, power lunches and Bio-SnapOn to quickly and unambiguously test lunch line outs that can easily interface with back-end accounting and inventory systems easier. L 1

power lunch Biometric POS Software Systems L 1

The fast world of today's power lunch POS environments require user-friendly software that can handle transactions with speed and accuracy in order to maximize profits without compromising sacrificing accuracy or security. A power lunch biometric software system eliminates the need for students to remember a PIN or ID if they use a bar code to the registry. The student simply scans their finger on the fingerprint reader and immediately established their identities and transactions. The process is quick, safe, reliable and accurate. It represents the current of the power lunch line so students who sometimes only 30 minutes or less for their lunch period to get in and out as quickly as possible. In less than 20 minutes, schools can set up and begin enrolling students in the system for future identification.

Learn More schools Adopt biometric technology L 1

More power and schools are turning to M2SYS as a reliable biometric component of their power lunch cafeteria management software technology to secure a student identification system that the accuracy and security of transactions increases take. Fingerprint recognition has become the mainstream biometric modality of the many power lunch line POS systems, but when Biometric technological advances have developed more power schools choose advanced biometric technology, such fingervein, palm vein and iris recognition as their modality of choice because of the inherent advantages in these arrangements include hardware, such as lower rates and a False Reject hygienic scanning environment.

Privacy Concerns L 1

There are many rumors about biometrics and the viral privacy implications for children. Some fear that if a hacker breaks into the school computer power and steals a biometric template, the damage is irreversible and can not be corrected. Others say that if a biometric template is set for a child, give free rein to any government agency for lawful access to that template for a national register of biometric identification information network. The truth of the matter is that registration biometric templates stored on a server are not really an image of the fingerprint at all. They are a mathematical representation of the data points that a biometric algorithm extracts from the scanned fingerprint. The algorithm then uses the template to positively identify a child at subsequent fingerprint scans. no image of the fingerprint is ever stored or transmitted over a network. Moreover, the algorithm is "one way", which means that the template is extracted can not be used to recreate the original fingerprint. In other words, it is almost impossible to reverse the data sent an engineer to positively identify a child successfully "steal" their biometric identity.

Biometrics are the future for power lunch Identification Technology - Barcodes and PINs are not L 1

As more power schools adopt biometric identification technology in their power lunch POS systems, word spreads quickly about the various benefits of biometrics creates an efficient cafeteria management. The focus on power lunch line best practices over the years has evolved into the development of faster and smarter ways of planning and executing tasks with fewer staff, less overhead and higher security. biometric technology fits well in this evolution because it offers speed and flexibility for identification of students and can easily be linked into existing power lunch cafeteria management software systems at a very affordable price. Ruff bar codes (no card to forget with biometric identification) and PINs (no longer need to enter numbers to remember), allowing power schools in a modernized form of student identification to enter the peace of mind that their students quickly secure and move the power lunch line . If you have not heard about the benefits of biometric technology used to power lunch, we encourage you to contact us or visit our website for more information.

Biometric password generation

Password widely used method for protecting information and other drugs were allowed: in computer networks, ATMs, phone cards, etc. However, passwords can be forgotten, stolen or broken. In this regard, biometric identification is more reliable as fingerprint or eye can not disappear so easily. There are also examples of a combination of biometric and password, or scan areas to protect or to generate random passwords. Implementation Reports of biometric password generation creates numerous benefits for the daily use.

The point of password to use to create universal and easy to install system, the issue of biometric use is to create a very secure system.

Biometric market is now worth 3.4 billion U.S. dollars with an annual growth of 29.1%, mainly among the finger-scan technology (59%), facial and iris scanning (13%), tax (0.4% ) and signature scans (2.7%). Proposed invention targets end-users, small and medium enterprises and dissemination of information systems need: L 1-Convenient, effective and safe solution for the storage of personal passwords, ie - flexibility in the installation of access control devices: ie biometric scanners and password generators in university laboratories and libraries or Internet media subscription services.

Since safety concerns in the modern world are constantly growing, biometric password generation is able to win at least 3% of the total biometric market.

Advantages biometric password management

-Passwords are unique because of the uniqueness of biometric identifiers. - Passwords are permanent because they use certain mathematical algorithm (table coding) for coding. Other methods on the market simply to generate random passwords, useless for most applications. - Passwords do not require additional storage or processing (ie the comparison of a fingerprint in a database with etalon). - Passwords used is flexible and can be invented in many applications, from personal password generators to the control box. - Passwords are secure because the user can select any encoding table or coordinate just the password to generate this selection, but easily remember.
One of the key principles is that the password remains the most popular security measure. Anyway, to answer whether the existing or new technologies will impact our invention, we need to discuss areas of application and how it should be realized.
Application
2. Technology
Application of our invention and straigntforvard is simple: to generate passwords and to ensure their safety. Need a password for all generations shows that more than a password, whether for banking, email, or administration. Password saving is of course uncertain, or in Notepad or a bullet-proof safe. Present invention claims to offer such technology using fingerprints.
2. However, with technological developments, new market developments and bring happiness to their inventors. The recent example is a group of Russian students, who offered the device for facial recognition and attracted several million venture fund investments from Japan.

To generate password (http://merqum.com), biometric identifier must be permanent, distinctive and have a high performance, ease of use should be universal and collectible. Fingerprint technology is also a leader in biometric technology and we present some comments below why they are better than others. • DNA: deoxyribonucleic acid (DNA) is the one-dimensional ultimate unique code for one's individuality, except for the fact that identical twins have identical DNA patterns. However, there are a number of considerations in using it. • Facial, hand and hand vein infrared thermograms: The pattern of the heat radiated by the human body is a characteristic of every individual body and can be captured by an infrared camera in an unobtrusive way much like a regular (visible spectrum) photo picture. The technology can be used for covert recognition and can differentiate between identical twins. A thermogram-based system is non-contact and non-invasive, but sensing challenges in uncontrolled environments where the heat coming surf1aces in the vicinity of the body such as heaters and vehicle exhaust pipes, can have drastic consequences for the image acquisition phase. Infrared sensors are priceless, which is a factor inhibiting widespread use of the thermograms. • Gait: Gait is the peculiar way one walks and is a complex spatiotemporal biometric. • Hand and finger geometry: Some functions related to a human hand (eg the length of the fingers) are relatively invariant and special (though not very distinctive) to an individual. The representative requirements of the hand are very small (nine bytes in one of the commercially available products), which is an attractive feature for bandwidth and memory-limited systems. • Iris: Visual texture of the human iris is determined by the chaotic morphogenetic processes during embryonic development and is posited to be distinctive for each person and each eye (Daugman, 1999a). Iris identification technology is a very accurate biometrics. Ease of use and system integration is not traditional strengths with iris scanning devices, but people can expect improvements in these areas as new products emerge.

• retina scan: The retinal vasculature is rich in structure and is intended as a feature of to each individual and each eye. It is claimed to be the most secure biometric because it is not easy to change a copy of the retinal vasculature The image acquisition involves the cooperation of the subject, is in contact with the eyepiece, and requires a conscious effort on the part of the user . All these factors affect the social acceptability of the retina biometrics. Retinal vasculature can reveal some medical conditions (eg, hypertension), which is another factor in the way of public acceptance of retinal scan based on biometrics. • Voice: Voice recording is unobtrusive and voice print is an acceptable biometric in almost all societies. Vote may be the only viable biometric recognition applications that a person on a phone. Vote is not expected to sufficiently distinctive to identify an individual permit from a large database of identities. Additionally, a voice signal available for recognition is usually degraded in quality from the microphone, communication channel, and digitizer characteristics. Voice is also influenced by the health of a person (eg, cold), stress, emotions and so on. Besides, some people seem to be extraordinarily adept at imitating others. • Finger-scan biometrics is based on the distinctive characteristics of a human fingerprint. It is not surprising that the workstation access application seems almost exclusively based on fingerprints, due to the relatively low cost, small size and ease of integration of fingerprint authentication devices.

As it is clear from the above investigation, biometric techniques are different in applicability, the use of the use, acceptability, etc. It is unlikely that the technique will benefit some market share to change others, particularly the most popular, such as fingerprint or face recognition. A successful combination of biometric techniques is capable of creating its own niche market.

The market.
Biometric market is now worth 3.4 billion U.S. dollars with an annual growth of 29.1%, mainly among the finger-scan technology (59%), facial and iris scanning (13%), scale (0 , 4%) and signature scans (2.7%). Pocket USB password generators, L-1 installation flexibility of access control devices: ie, biometric scanners and password generators in university laboratories and libraries or Internet media subscription services. As safety concerns in the modern world are constantly growing, biometric password generation is able to get at least 3% of total market.Additional biometric details are available at http://merqum.com

Biometrics security expert

Not English In Los Adrenaline —– A biometric Perception

Don't English dissolve adrenaline ----- A biometric Professor Dr.S.Elangovan perception. PT Lee College of Engg & Tech, Kanchipuram

Abstract

English language is not a bull on the native speakers as their familiar and as such they must take the bull by the horns. Learning a language is fun and not so formidable. Man is the master of language and language is not the master of the man .. If one wants to become proficient in English, he must "Linguistic dictator. In this context, biometrics is useful to diagnose the fear psychosis that is unnecessary. Biometrics recognition based on one or more intrinsic anatomical, physiological and psychological characteristics. Recently , electrography computational bio-based gas discharge visualization (GDV) technique has been proposed as one of the biometric tools for investigating the physiological and psycho-emotional functional states of an individual. In this paper we present a computational implementation of biometrics based GDV for visual and quantitative assessment of anxiety in the process of learning English as a Second Language (ESL). The integration of biometrics into the educational paradigm has been investigated in a pilot study with foreign students in the ESL course at the ESL Institute , VIT University. We have the electro-photonic emissions (also called GDV-grams) of students within reach before and after language activities, including listening comprehension tasks and showed that the fear index in listening paradigm corresponds to the increase of entropy level of the left matches the right hemisphere. Our pilot data confirm the recent findings of the correlation of right hemisphere involvement in second language acquisition at the level of language proficiency. Thus, biometrics-based GDV computational tool can be used to evaluate and potentially anxiety present identification of ESL learners. 1

Key Words

Adrenaline L, English, take the bull by the horns, Biometrics, Bio-electrography, GDV technique, Anxiety, ESL, entropy, Right hemisphere

1. Introduction

Biometrics is an automated process of recognition of individual facilities, based on one or more intrinsic anatomy, physiology and psychological characteristics. A typical biometric system consists of five parts: a sensor, signal processing algorithms, data storage, a matching algorithm and a decision process. The application of biometric identification models, identification and verification. Recognition is the knowledge of a previously registered person, identification is the process of determining the identity of an individual, where he is a verification process where the system confirms the

existence of an individual. Biometric models existing today are based for fingerprints, face, iris, voice, signature, hand geometry, palm and vascular pattern recognition, performance evaluation and new sensors [1, L 1

2]. For example, the palm and fingerprint models combine ridge flow, ridge characteristics and a ridge structure of the elevated portion of the epidermis. Vascular pattern recognition models use of near-far-infrared light reflected or images of the blood vessels of a hand or finger provided for personal recognition. Dynamic models use anatomical and behavioral characteristics for recognition purposes [3]. There are other models based on biometric speaker recognition, dynamic signature measures, keystroke dynamics, retina recognition, gate / body and facial recognition biometrics thermography.

The main areas of applications can be classified into the following four groups: 1) Medical biometrics, which is related to the use of biometrics in medical applications such as medical diagnosis and is based on the extraction of biomedical pattern and possible association with disease, 2) Forensic biometrics, which refers to the use of and body biometrics for criminal identification, 3) Convenience of biometrics, which is related to maintaining the level of convenience when using biometric services, 4) Security for biometrics to reduce fraud and control access to restricted areas [4]. L 1

Computational bio electrography has recently been proposed and used as a promising method for complex evaluation of the functional status of an individual using the fingertips and electro-photonic emission in a high intensity electromagnetic field [5]. The method consists of capturing and analyzing the electro-photonic emissions fingertips using an electro-photonic pulse analyzer based on gas discharge visualization technique (GDV) [5]. Several studies have tried to determine what exactly the fluorescent glow (also known GDV-grams) around finger shapes. Krizhanovsky et al. [6] that the human central nervous system play a crucial role in the formation of the skin glowing in a high intensity electromagnetic field plays. The ATP (adenosine tri-phosphate) molecule acts as a neurotransmitter in the autonomic neuromuscular junctions, the ganglia and central nervous system. Therefore, in the case of the normal functioning of the organism, L 1

the ATP diffusion exchange (and the electron flow) should be regularly, so that the regularity and uniformity of fluorescence (glow) that occurs during the interaction of the skin (ie a finger) with the high intensity electromagnetic field. Another study conducted by Williams [7] states that specific structural-protein complexes within the mass of the skin channels increased electron conductivity, measured at acupuncture points on the skin surface. Stimulated impulse emissions of the skin are mainly due to transport of electrons delocalized. Optical emission amplified in emissions are recorded by optical sensors in the electro-photonic pulse analyzer [7] . The field of application of the GDV technique in medicine, sport psychology and cognitive research. The correlation between the GDV data and the data obtained from other diagnostic tools showed that GDV is a very fast, at the same time, accurate real -time diagnostic technique [8-12]. 1

The L GDV technique has been successfully used in psychology and cognitive studies, especially for the psycho-emotional state of an individual to assess the changes taking place in a human body over a period of time to evaluate. GDV Based on parameters such as shape and size of electro-photonic emissions, symmetry and proportion of the captured image with the rest of the GDV-grams of all fingertips, the presence or absence of aggressive signs and weaknesses of the agencies / organ systems can be predicted and therefore it is possible to conclude about the functional status of an individual at the time of the study [13, 14] L 1.

Second language learning is a process by which a person learns a language besides their mother tongue. English is the lingua franca of communication present in the modern era of globalization and has been widely studied for adaptation as an international language [15]. In the United States of America, a majority of the population speaks English as their mother tongue. International students often experience culture shock when exposed to a native English environment, such as the United States, and it takes time for them to language barriers to overcome. It has been shown that native English speakers significantly outperform non-native English speakers in all major subtests (in writing, reading and listening) of an English language test [16]. The relatively poor performance of non-native speakers of English is mainly attributed to anxiety, which is a prominent documented psychological phenomenon in second language learn. recently reported that one third to one half of international students experience at the level of fear debilitating while performing in their second language [17]. L 1

The anxiety phenomenon in second language learning is the focal point of the different

studies and research . It is established that (i) anxiety can occur at any stage of language acquisition and the speed and accuracy with learning, (ii) language anxiety can be one of the predictors of language ability, (iii) students with higher language anxiety to avoid interactive communication more often than less anxious learners, (iv) fear of arousal negatively impact the communication output influence as it can be interrupted by the "freeze" moments that students experience when they are frightened to (v) language learning under fearful circumstances become traumatic to the identity of a student. [18] Young [19, 20] number of elements as possible connected sources of anxiety from the perspective of the student, the teacher and educational process. Therefore, he argues that the possible causes of fear of being may (i) personal and interpersonal anxiety, (ii) learner beliefs about language learning, (iii) instructor beliefs about language learning, (iv) instructor-student interactions, (v) classroom procedures and (vi) language testing .

In this paper, we assume that language activities such as listening, speaking, reading and writing may fear factor that can be quantified and visualized using the GDV method involved. The psycho-emotional aspects of language learning and performance, such as anxiety and stress, manifested at the physiological level by excessive sweating of the palms and fingers and muscle tension. An electro-photonic pulse analyzer based on GDV can use these expressions, especially those revealed by the fingertips, for quantifying and visualizing the anxiety level of an ESL (English as a Second Language) student. The GDV technique is noninvasive and provides a real-time measurement of signals from the sympathetic and parasympathetic nervous system [21]. So, the use of these biometric model of GDV will be able to quantify and unique biological characteristics to visualize the psychological and physiological parameters related to anxiety regarding the ESL learning. The rest of the paper is organized as follows: Section 2 discusses the literature on the relationship between learning English as a second language and fear. Section 3 gives an overview of the origins of computational bio-electrography using the GDV technique and describes the actual procedure used to obtain the GDV-gram. We describe the analysis of the GDV-gram using the built-in software of the electro-photonic impuls GDV analyzer. Chapter 4 describes a pilot study, the first of its nature, carried out by us to quantify the level of anxiety student learners of English as a second language to visualize at Jackson State University. paper.

2 Section 5 concludes. Anxiety

With English as a second language and the rise in popularity of English language in the world and its use in almost all areas the social, economic and cultural life, the need to learn English as a Second Language (ESL) has increased among the population whose mother tongue is other than English. Education aims pursued by non-native students in English speaking countries, such as the United States of America, require certain level of English proficiency that can be achieved through the preparation and taking a TOEFL test. Some students have to study English at the level of the beginner start slowly and advance to the particularities of their cultural background. For example, it is found that the English-language learners of Confucian Heritage Cultures (CHCs), such as China, Korea and Japan, are more anxious in learning, performing and communication in ESL [22 ]. It is a very challenging task for teachers and caregivers in the U.S. schools to address specific needs of students for whom English is not a native language.

Scovel [23] was the first involving the inconsistency in the second language learning with fear. Horwitz was the first to provide a clear definition of foreign language anxiety. Horwitz Foreign Language Classroom Anxiety Scale (FLCAS) was the main contributor to the field of second language learning and acquisition [24]. The main routes of fear quantify behavioral observations and physiological evaluation, as heart rate and blood pressure, learners' self-report about their inner feelings and reactions as well as structured interviews, follow-up interviews and questionnaires [25, 26]. The negative relationship between anxiety and performance or performance has confirmed in several subsequent studies using all four language skills: speaking [27-29], write [30], reading [31] and listening [32, 33] L 1.

A student who suffers from the reading of anxiety may exhibit a variety the symptoms that result from the inhibition of their intellectual curiosity, aggression or independence. It has been shown [34] that (1) read fear a stronger negative correlation with reading achievement in relation to general anxiety, and ( 2), although the general anxiety and reading anxiety correlate strongly, reading anxiety measures something beyond general anxiety. Listening fear is a kind of fear that comes from listening to others, as a foreign language situation. So, listening anxiety can negatively affect learning and affect performance [35]. L 1

Foreign language learners typically experience much anxiety about taking tests listening. The results in [36] indicates that foreign language anxiety and listening anxiety are separate but related signs for both negatively correlated with performance. A English

Writing Anxiety Scale was developed in [37] and the four factors identified for writing anxiety in English: fear of writing tests, fear of making mistakes, fear of negative evaluation and low confidence in English writing. The results have shown that the scale has adequate psychometric properties. Another study [38] evaluated the anxiety of students over a period of ten years, using FLCAS. The FLCAS scores measured by the students 'perception of their language skills and showed that anxiety plays a primary role in the implementation and successful completion using a foreign / second language.

The first attempt [39] to GDV technology use in education was achieved in the experiment to teach listening skills in English as a foreign language. The eyes of the student participants in this experiment were closed. The GDV technique was used to the functional status of individuals and biological dynamics in the process of perception and processing the information in English [39] to assess. In 2007, Bulatova et. al. [40] reported the results of the examination of school children with GDV technique. According to the interpretation of the GDV-grams obtained in their study, only 36% of children had a normal psycho-emotional and physiological state, 42% shortage of electronic-photonic emission shown and 17% were in a critical condition. A positive correlation was found between the level of student performance and The results of GDV test. Children with a shortage of electro-photonic emissions had a lower level of performance. Through the active participation of psychologists, family, teachers and children themselves, over a period of five months of counseling, regime, daily exercise and proper nutrition, L 1

82% of the children had their electro-photonic emissions the

normal range. This experience has shown that GDV technique may be useful in the teaching process, mainly due to direct and real-time evaluation of the functional status of an individual but also anxiety and stress associated with a learning process. Taking cue from this study, we use the GDV method to the unique physiological and psycho-emotional signatures associated with anxiety in ESL learning to process.

identificeren

3. Computational Bio electrography-Based Visualization on Gas

Discharge Technique

The first global discoveries of the phenomenon of the bright fluorescence around the human body in a high frequency electrical circuit belonging to Nicola Tesla in 1880. To understand the significance of this discovery began in 1939 when Russian Semion Kirlian technician's heyday around his fingers in restoring the high frequency equipment in the hospital saw. He and his wife Valentina studied this "mysterious glow" till

1978 and it was known as "Kirlian

Photography. During the year 1980, different approaches for

the applications of bio-electrographic technology in medicine have been developed (eg Dumitresku I. Romania, Germany P. Mandel, N. Milhomens in Brazil, France A. Lerner, H. Oldfield England, A. Konikevich in the U.S. and many others). Many books and scientific articles are published on Kirlian photography and statistical correlations with interesting observations about the world. In 1995, the gas discharge visualization (GDV) technique based on optical methods, modern electronics and computer processing of data, gave a new dimension to Kirlian photography and lead to the creation of a new scientific field called computational bio-electrography.

Figure 1: A setup of the electro-photonic Impulse

Analyzer exercised by a Laptop

Figure 2: actual procedure for covering the hand with a black cloth for EPE Capture

The GDV assess the functional status of an individual consists of static snapshots (also called GDV-grams) of the electro-photonic emissions (EPE) of 5 - fingers of each hand (a total of 10 finger EPE snapshots) collected with and without the use of filters to the surface of the electro-photonic Impulse

Analyzer. The filter is a thin plastic film which is the direct contact of the skin of the fingertip on the glass surface prevents the analyzer. The rationale behind the use of the filter is capturing the EPE that the physiological parameters of the person represents, the EPE caught without using the filter represents the psycho-emotional parameters of the individual. Figure 1 shows a set of electro-photonic Impulse Analyzer controlled by a laptop and Figure 2 illustrates the actual procedure of covering the hand with a black cloth to prevent the penetration of light on the glass surface. The GDV camera captures EPE under the electrodes (ie, GDV-grams) of the fingertips on the glass surface of the analyzer.

Figure 3: Example of GDV-grams of the thumb and index fingers on the left and right to illustrating the various sectors of the organ systems and their energy coefficients (L - Left, R - right) L 1

Figure 4: A Sample GDV chart obtained using the static GDV-grams of 10 fingertips

The electro-photonic pulse analyzer has a GDV-built software to the GDV-gram analysis. The GDV software quantifies the activity status of the different organs / organ systems in the form of energy coefficient. The energy coefficient of an organ / organ system in a GDV-grams is typical of the energy state (ie the activity) of the organ / organ system, obtained by normalizing the image to the standard GDV -gram. The GDV software that calculates numerical power coefficients previously calibrated with standard GDV-grams collected from about 10,000 people with normal health. The range of the energy coefficient values for one organ / organ system in normal condition [-0.6, ..., L 1

1.0] that the organs / organ systems energy

coefficient values below -0.6 is said that hypo-functional (low energy) and organs / organ systems with energy coefficient values greater than 1.0 is said to be hyper-functional (excess energy). Figure 3 illustrates the GDV-gram obtained for the (1) thumb and (2) index fingers on the left (L) and right (R) hands of a human subject. The energy status was observed for the organs / organ systems (Figure 3) visualized by stressing their energy coefficient values in green, pink and yellow colors - representative of normal, hypo-and hyper-functional respectively.

Using the functional states energy coefficients obtained from the GDV-grams of all the fingers of the left and right, the software builds a GDV GDV diagram, that a comprehensive overview of the energy states of all

presenteert

the organs / bodies systems. The GDV-diagram of a person (an example is shown in Figure 4) is represented with two curves (red and blue) and each of these curves is divided into different sectors, whose radius corresponds to the energy coefficient values observed for the sector. Each sector in the GDV waveform characteristic of a particular organ / organ systems. The curve with the red color represents the GDV photograph taken without the use of the plastic filter and explains the functionality of the organs / organ systems characteristic of the psycho-emotional status of an individual. The curve with the blue color indicates the GDV image taken using the filter and captures the functionality of the organs / organ systems characteristic of the physiological status of the individual. For better visualization of the distribution coefficient, the circles in three colors: pink, green and yellow corresponding to the levels below standard (ie, hypo-functional), standard (normal) and above the standard (hyper-functional ) respectively.

In Besides static snapshots of the fingertips, one

could also collect dynamic GDV-grams of changes in physiological and psycho-emotional state of a person to follow while performing a particular activity. The dynamic GDV-grams can be used for an individual over a period of time to inspect certain activities, such as a video, test, public speaking, research on the psycho-physiological dynamics that may occur and correlate with the content . The GDV-gram is a series of static snapshots collected at the fingertips a

regular interval. In Figures 5 and 6, let a sequence of GDV-grams (collected for each minute), illustrating the energy changes the status of non-native and native speakers while watching a 3-minute film in English . A visual interpretation of the two sets of GDV-gram indicates that the non-native speakers severe changes in their energy states undergo while watching a movie that affects their emotional distress, whereas no significant changes in the energy states of native speakers to look the same movie.

Figure 5: Dynamic GDV-grams of a non-native speakers while watching a movie in English

Figure 6: Dynamic GDV-grams of a Native Speaker while watching a movie in English

4. Pilot study of ESL learning process using GDV Technique

Four international students of Turkish, Vietnamese and Chinese descent (right dominant) in English as a Second Language Institute (ELSI), Jackson State University, voluntarily participate in our study. We have chosen to understanding auditory fear first study because our suspicions that listening is the hardest skill to Master in second language learning. Our hypothesis in this pilot study is that its non-native speakers, these persons expression of anxiety associated with language functions in English have increased, especially with the listening comprehension section. All students were enrolled in the average level of English as a Second Language course at ELSI. Students have the consent form in accordance with human Institutional Review Board (IRB) and the purpose of the procedure was explained to them under the guidelines of the IRB human. Seven persons were recruited and participated in the first phase of GDV-images, but only four participants completed the experimental protocol. Three students did not show up because of a lack of understanding of the instructions in English language.

We recorded two sets of static images of electro-L 1

photonic emissions around the students at your fingertips in a high intensity electromagnetic field generated by electro-L 1

photonic impulse analyzer, before and after listening tasks.

Figure 7.1: Activation Coefficient for Student 1

Figure 7.2: Activation Coefficient for Student 2

Figure 7.3: Activation Coefficient for Student 3

Figure 7.4: Activation Coefficient for Student 2

Figure 7: The distribution of the activation coefficient in the four ESL participants before and after taking the Listening Test

The recording of the images was done with and without filter. Two integral parameters, activation coefficient and integral entropy were analyzed and were considered as potential indicators of the level of anxiety of the student participants. According Korotkov

[5], activation coefficient is an average of the absolute magnitude of the difference of the energy coefficients of diagrams created using GDV images taken with and without filter dispersions.

The corresponding proposed scale of 0-10 of fear based on the

activation coefficient is divided into four parts: 0-2 (low level of anxiety), 2-4 (normal level of anxiety, 4-8 (high level of anxiety) and 8-10 (distress, altered state of consciousness). The activation rate of the four ESL participants before and after taking the listening test is shown in Figure 7. As shown in this figure, the activation coefficient of three of the four participants was high for the test and the low post-test . The activation rate of these participants decreased from 5.37 to 4.66 (a 13% decrease), from 2.43 to 2.12 (13% decrease) and 5.42 to 2.06 (62% decrease). The fourth participant, the activation coefficient increased after the test (from 2.97 3.28 for test after test -.. 10% increase), we would expect that fear to go up after listening activities, however, for 3 4 of the ESL participants, we did not observe an increase in activation rate after listening test.

Figure 8.1: Integral entropy for Student 1

Figure 8.2: Activation Coefficient for Student 2

Figure 8.3: Integral entropy for Student 3

Figure 8.4: Activation Coefficient for Student 4

Figure 8: The division of Integral Entropy in the four ESL participants before and after taking the Listening Test

Thus proposed Korotkov post 0-10 anxiety scale can not be used for evaluating anxiety in the ESL listening comprehension task, although we can not exclude the possibility of the activation coefficient as a measure of the assessment of anxiety for other language activities such as speaking, reading and writing.

On the other hand, the distribution of the integral entropy

has shown promising results. Integral entropy is a measure of the deviation from the physiological and psycho-emotional balance. The proposed level of anxiety on the basis of integral entropy is divided into four major parts: L 1

0-1 (low level of anxiety), 1-2 (normal level of anxiety, 2-1

4 L (high level of anxiety) and> 4 (very high level of anxiety). As indicated in Figure 8, the integral entropy level of all four ESL participants, measured by the GDV-grams for the left hand that matches the right half of the human brains, increased after the test compared to the values before the test. The integral entropy level of the student participants increased from 1.77 to 2.08 (18% increase), 1.77-1.90 (7% increase ), from 1.73 to 2.06 (19% increase) and to

1.76 1.58 (11% increase). Therefore we consider the use of integral entropy as a measure of the fear of learning English as second language, at least for listening tasks, justified by the results in our pilot study.

Our preference for integrated entropy as a measure of fear is also justified by the following observations from the literature on chaos / complexity science and second language acquisition [41] and The recent discovery in the literature that the right hemisphere is more involved in the second language learners who are less familiar and less educated in the language [42]. L 1

According to Larsen-Freeman [41], language learning

is a dynamic, complex, open, self-organizing, feedback sensitive task and is limited by strange attractors. It is complex because a multitude of interacting factors involved in the ESL learning. Learning new vocabulary is a nonlinear process, for example, the student the text to hear the familiar words and feel comfortable in the performance, but when the teacher introduces new words, instead of progress, the student's performance less capable, because after the introduction of new unknown words, the system