Not dissolve in English adrenaline —– A biometric collection

Not dissolve the adrenaline English —– A professor of biometric data collection Dr.S.Elangovan. PT Lee College of Engg & Tech, Kanchipuram

Summary

English is a bull with non-native speakers as an intern and as such, must take the bull by the horns. Language learning is so fun, is not large. The man is the master of language and language is not the master of man .. If you want acquire skills in English, the language must be dictator. "In this sense, biometrics is useful to diagnose psychosis of fear is not necessary. The Biometrics is the process of recognition based on one or more intrinsic anatomical, physiological and psychological. Recently, bioinformatics electrography based on gas discharge visualization (GDV) technique has been proposed as a biometric tools to investigate physiological and psycho-emotional, functional states of an individual. This article presents an application of biometrics of calculation based GDV for visual assessment and quantitative anxiety in the learning process English as a Second Language (ESL). The integration of biometrics in education paradigm has been studied in a pilot study on foreign students enrolled in ESL classes at the ESL Institute, University of VIT. We have measured the electro-photonic emissions (also called GDV-grams) of the reach of students before and after the language activity, particularly for understanding and listening to reports that the rate of anxiety in listening comprehension paradigm corresponds to the increase in entropy level corresponding to the left of the right hemisphere. Our pilot data confirm recent findings of the correlation of the involvement of the hemisphere right in second language acquisition at the command of the language. So Biometrics-based calculation tool GDV can be used to evaluate and possibly identify current anxiety and ESL students.

Keywords

Adrenaline, English, take the bull by the horns, biometrics, bio-electrographic, GDV technology, anxiety, ESL hemisphere, Entropy, Law

1. Introduction

Biometrics is an automated process to recognize the characteristics intrinsic individual characteristics on the basis of one or more anatomy, physiology and psychology. A typical biometric system consists of 5 elements: a sensor, signal processing algorithms, data storage, a matching algorithm and a decision process. The objectives of recognition biometric templates, identification and verification. The recognition is the knowledge of a person already registered, identification is the process of determining the identity of an individual, while the audit is a process by which the system confirms

existence of an individual. The biometric templates that currently exist are based on fingerprints, face, iris, voice, signature, hand geometry evaluation, palm, and the vascular pattern recognition, performance and new sensors [1;

2]. For example, palm and fingerprints models combined maximum rate, the characteristics and structure of peak high peak the epidermis. models of vascular pattern recognition near to far infrared light reflected or transmitted images of blood vessels of a hand or finger personal recognition. Dynamic models use anatomical and behavioral characteristics for recognition [3]. There are other models that are based on biometric recognition Speaker, the measures of the firm dynamics, the dynamics of key movement, recognition retina recognition of valve body / facial thermography.

The main areas of biometric applications can be classified into 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 the biomedical model and its association with the disease is possible, 2) biometrics judiciary, which refers to the use of biometrics for criminal identification and body, 3) whether biometrics, which is related to the maintenance level comfort when using biometric data services, 4) biometric security to reduce fraud and restricted area access control [4].

electrographic Bioinformatics has recently been proposed and used as a promising method for evaluating functional complex state of a person with the fingers and electro-photonic emissions in a high intensity electromagnetic field [5]. The method involves the capture and analysis of electro-photonic emissions with the fingers using a photonic pulse analyzer devices based on electro-technology gas discharge visualization (GDV) [5]. Several studies have attempted to determine what forms are exactly the fluorescence (Also called GDV-grams) around the toes. Krizhanovsky et al. [6] has determined that the human central nervous system plays a crucial role in the electromagnetic field the formation of the brightness of the skin with a high intensity. ATP (adenosine triphosphate) molecule acts as a neurotransmitter at the neuromuscular junction autonomic ganglia and central nervous system. Therefore, in normal operation of the organization,

dissemination ATP exchange (and the flow of electrons) should be regular, which ensures the regularity and uniformity of fluorescence (light) that occurs during the interaction of the skin (it ie a finger) with the high intensity electromagnetic field. Another study by Williams [7] argues that the complex structure of specific proteins in the mass of the skin provide channels of electronic conductivity greater, measurable in the acupuncture points on the surface of the skin. stimulated emission pulse of the skin also are developed mainly by transport of delocalized electrons. Amplified optical emissions in the waste gases are recorded by optical sensors in the electro-photonic analyzer pulse [7]. Implementation of the technical areas GDV are medicine, sports psychology and cognitive study. The correlation of data and data GDV diagnostic devices has shown that other GDV is a very fast, at the same time, the technique of real-time accurate diagnosis [8-12].

GDV technique was successfully used in psychology and cognitive studies primarily to assess the psycho-emotional development of the individual and to assess changes that occur in a human body for a period of time. On the basis of parameters such as shape and size of electro-photonic emissions GDV, symmetry and the relationship image captured with the rest of the GDV-grams of all the fingers, the presence or absence of signs and aggressive defects organs or organ systems can be predicted and it is therefore possible to conclude on the functional status of a person time of the study [13, 14].

Learning a language is a process by which a person learns a language besides their mother tongue. English is the lingua franca for the current communication in the modern era of globalization and has been widely studied for adaptation as an International Language [15]. In the United States of America, the majority of the population speaks English as their mother tongue. Foreign students generally feel culture shock when exposed to a native speaker of English, as the United States, and it takes time for them to overcome language barriers. It has been shown that speakers English performed significantly better than those who do not speak English at all subtests important (in writing, reading and listening) of a language proficiency test in English [16]. The relatively poor non-native speakers of English is mainly due to anxiety, which is a documented psychological phenomenon demonstrated in the second language learning. Recently it was reported that one third to half of students experience debilitating levels of anxiety, while playing in their second language [17].

The phenomenon of anxiety in the field of second language learning has been the focal point of different

studies and research projects. It was established that (i) anxiety can occur at any time of the acquisition of language and can affect the speed and accuracy of learning, (ii) anxiety Language can be a predictor of language proficiency, (iii) students of language anxiety high to avoid a more interactive communication that students often less anxious, (iv) education of the influence of anxiety can affect the output of the communication as it can be interrupted by frost "Up" moments that students experience when they are anxious, (v) the learning of languages in circumstances concerns can be traumatic for the student's identity [18]. Young [19, 20] has identified several areas as potential sources interdependent anxiety in the context of the student, the teacher and the teaching process. Therefore, argues that the possible causes of anxiety can be (i) personal and interpersonal anxiety, (ii) student beliefs about language learning, (iii) instructor beliefs language teaching, (iv) teacher-student interactions, (v) the procedure in the class, and (vi) the language tests.

In this paper, we assume that language activities such as listening, speaking, reading and writing may involve stressors that can be quantified and visualized using the GDV method. Psycho-emotional aspects language learning and performance, such as anxiety and stress, occur at a physiological level by increasing the perspiration of the palm and fingers and tension muscle. An electro-photonics-based motion analyzer GDV can be used in these events, particularly those that reveal the fingers, quantify and visualize the level of anxiety ESL (English as a Second Language Language) students. The GDV technique is noninvasive and provides a real-time measurement of signals from the sympathetic and parasympathetic nervous system [21]. So, using this biometric GDV, we will be able to quantify and visualize the unique biological characteristics in psychological parameters and physiological characteristics of anxiety in relation to ESL learning. The rest of the paper is organized as follows: Section 2 reviews literature on the relationship between learning English as a Second Language and anxiety. Section 3 provides an overview of the origin of bioinformatics electrography based on the GDV technique and describes the procedure used to obtain the GDV-grams. It also describes the analysis of the GDV-grams using the bundled software analyzer pulse electro-photonic GDV. Section 4 describes a pilot study, the first of its kind, which led to quantify and visualize the anxiety level of students in English as a second language at Jackson State University. Section 5 concludes the paper.

2. English as Second Language anxiety

With the increasing popularity of the English language in the world and their use in almost all spheres of social, economic and cultural development, the need learn English as a Second Language (ESL) has increased among the population whose mother tongue is not English. The objectives of education non-indigenous students English speaking countries like the United States, require a certain level of proficiency in English can be achieved through the preparation and improvement a TOEFL test. Some students start studying English from beginner level and moves slowly because of their specific cultural context. For example, it was determined that English-language students from Confucian Heritage Cultures (SAC), China, Korea and Japan, are more anxious in learning, development and communication ESL [22]. It is a very difficult task for teachers and counselors in U.S. schools to meet the specific needs of students for whom English is not a native language.

Scovel [23] was the first to combine the inconsistency of second language learning anxiety. Horwitz was the first to clearly define the concept foreign language anxiety. Horwitz Foreign Language Class Anxiety Scale (FLCAS) was the largest contribution to the field of second language learning and acquisition [24]. The principal means of measuring anxiety include behavioral observation, physiological assessment such as heart rate and blood pressure, students self-evaluation about their feelings and reactions as well as structured interviews, follow-up interviews and questionnaires [25, 26]. The negative relationship between anxiety and the application or implementation has been confirmed in several subsequent studies that include the four language skills: speaking oral [27-29], wrote [30], reading [31] and will play 32 [33].

A student who suffers from a reading of anxiety can present a variety of symptoms that result Inhibition of intellectual curiosity, aggression or independence. It has been shown [34] that (1) anxiety, there is a strong negative correlation with yield reading in relation to general anxiety, and (2) Despite the general anxiety and reading anxiety correlate substantially, reading anxiety measures something beyond of general anxiety. anxious to hear is a type of anxiety that comes from listening to others, as in a situation of foreign languages. Therefore, anxiety may adversely affect in the process of listening and learning affect performance [35].

foreign language learning in general, a lot of anxiety about the experience to take tests hearing. The results presented in [36] indicates that foreign language anxiety and listening anxiety are separate but related phenomena that both correlation negative performance. An Englishman

Writing Anxiety Scale was developed in [37] and has identified four factors that contribute to anxiety English writing: fear of writing essays, the anxiety of making mistakes, fear of negative evaluation and lack of confidence in English writing. The results showed the balance is sufficient psychometric properties. Another study [38] evaluated anxiety students over a period of ten years, using FLCAS. FLCAS measured results opinions of students in their language skills and learning have shown that anxiety plays a role in the implementation and successful completion using a foreign language / second language.

The first attempt [39] GDV technology use in education has been achieved in the experiment teaching skills listening in English as a foreign language. The eyes of the students participating in this experiment have been closed. GDV technique was used to assess the functional status of individuals and the biological dynamics in the process of collecting and processing information English [39]. In the year 2007, and Bulatov. al. [40] reported the results of the survey of schoolchildren with GDV technique. According to the interpretation of the GDV-grams obtained in their studies, only 36% of children had normal psycho-emotional and physiological 42% showed a deficiency in the show electro-photonics and 17% were in critical condition. There is a positive correlation between the level of student achievement and test results GDV. The children with disabilities in the electro-photonic emission has a low yield. Due to the active work of psychologists, family, teachers and children themselves, for a period of five months of consultations, diet, daily exercise and proper nutrition,

82% of children had their electro-photonic emissions in

normal limits. This experience has shown that the technique can be GDV useful in the education process, mainly due to the assessment and real-time snapshot of an individual's functional status and anxiety and stress accompanying a learning process. Based on this research, the method used to identify unique signatures GDV physiological and psycho-emotional associated with anxiety in the process of ESL learning.

3. EEG-based bioinformatics gas

Discharge technique Display

The first discoveries in the world of bright fluorescence phenomenon of rights around the body in a high frequency circuit owned by Nicola Tesla in 1880. Understand the importance of this discovery began in 1939 when the Russian Semyon Kirlian noticed technical flourish around the toes during repair high frequency equipment in hospitals. He and his wife Valentina glow investigated this "mysterious" to

1978 and became known as "Kirlian

Photography. "During the 1980s, different approaches

Medical applications of bio-electrographic art have been developed (for example, Romania Dumitresku I., P. Mandel, Germany, Brazil Milhomens NA Lerner in France, England H. Oldfield, A. Konikevich United States and many others). Many books and research articles have been published in Kirlian photography and statistical correlations with interesting observations in 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 the Kirlian photography and lead to the founding a new scientific field called bioinformatics electrography.

Figure 1: A configuration electro-photonic pulse

Analyzer operated through a laptop

Figure 2: How to cover the real part for a black cloth EPA Capture

The evaluation status of an individual functional GDV includes static snapshots (also called GDV-grams) of transmission electro-photonic (EPA) 5 fingers – each hand (for a total of 10 fingers instant EPA), which are collected with and without using filters on the lens surface of the electro-photonic Impulse

Analyzer. The filter is a plastic film that avoids direct contact with the skin of your fingers on the glass surface of the analyzer. The reason for using the filter is to capture EPR parameters representing the physiology of the person and that the EEP collected without the help of the parameters of the filter is the psycho-emotional person. Figure 1 shows a configuration electro-photonic pulse analyzer operated through a laptop and Figure 2 illustrates the same procedure to be covered by a black cloth to prevent penetration of light on the glass surface. GDV-A camera captures the electrodes under the EPA (ie, GDV-grams) of the scope of hand the glass surface of the analyzer.

Figure 3: Example GDV-grams of the thumb and index finger on his left hand and right that illustrate the different sectors representing all organ systems and their energy ratios (L – R left – right)

Figure 4: GDV-diagram shows the static obtained using GDV-grams of 10 fingers

Pulse electro-photonic scanner software has a GDV of the ability to analyze the GDV-grams. The GDV-software quantifies the state of the activity of various organs and organ systems form of energy coefficient. The coefficient of energy a system of organs of the body / in a GDV-gram is characteristic of power system status (eg, activity) of organs of the body / and you get by normalizing the standard image GDV-grams. GDV software that calculates the numerical coefficients of energy was pre-calibrated to the standard set GDV-grams 10,000 people with normal health. The range of values of the coefficient of the energy of a body system to and from the normal state is [-0.6, ...,

1.0] and that the bodies of organ systems / Energy

Ratios below -0.6 is called "hypo-functional (low energy) and the values of the systems organ organ / energy greater than 1.0 is called hyper-functional energy (in excess). Figure 3 illustrates the GDV-grams obtained for the thumb (1) and (2) Index left (L) and right (R) hands for a human subject. The observed power status in the public / agencies was visualized (Figure 3) highlighting their values energy of coefficients in green, pink and yellow – which represents normal state of hypo-and hyper-functional functional, respectively.

Using ratios energy obtained from the GDV-grams of all fingers of left and right hands, the GDV GDV-software constructs a diagram that presents an overview of the energy states all

organs and organ systems. GDV diagram of a person (Sample is shown in Figure 4) is represented by two curves (Red and blue) and each of these curves are divided into different sectors with a radius equal to the ratio value observed in the energy sector. Each sector of the GDV-diagram is characteristic of a particular organ system or organ. The red curve represents the GDV image taken without the aid of plastic filter and takes into account the functionality of organs and organ systems characteristics of psycho-emotional development of the individual. The blue curve represents the image taken using the GDV filter and the capture of the organs of the organ systems function and characteristics of the individual physiological state. For a better visualization of the coefficient distribution circles come in three colors: pink, green and yellow correspond to levels below the standard (eg, hypo-functional), the standard (Normal) and above the standard (hyper-functional), respectively.

In addition to static snapshots of a fingertip

Also could collect dynamic GDV-grams to monitor changes in physiological and psycho-emotional of a person acting in a particular activity. The dynamic GDV-grams can used to track a person for a period of time during certain activities such as watching a video, test, public speaking, to study the dynamics of psycho-physiological and may be correlated with the content. The GDV-grams are a series of static snapshots of the labor embodied in an

intervals regular. Figures 5 and 6 shows a sequence of GDV-grams (collected for each minute), which illustrates the changes in the energy state of non-native speakers and native while watching a 3-minute film in English. A visual interpretation of these two sets of GDV-grams indicates that non-native speakers suffer from severe changes in energy states while watching a movie that affects their emotional distress, then there is no significant change in the energy states of native speakers of seeing the same movie.

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

Figure 6: Dynamics GDV-grams of a native speaker English movie

4. Pilot Study of ESL learning process using technology GDV

Four international students from Turkey, Vietnam and China (right hand dominant) with English as a Second Language Institute (ELSI), Jackson State University, volunteered to participate in our study. We decided to study first listening anxiety because of our assumption that the skills of listening is more difficult to control in the second language learning. Our hypothesis in this pilot study is that being non-native speakers, these individuals have an increased expression of the anxiety associated with the tasks in the English language, especially the section Listening. All students were enrolled in the average level of English second language courses in ELSI. Students have signed the consent form in accordance with the human Institutional Review Board (IRB) and the aim of the guidelines is explained by the man of the IRB. Seven people were hired and participated in the first phase of GDV records but only four participants completed the experimental protocol. Three students did not attend due to a lack of understanding instructions taught in English.

There were two sets of images in the electro-

photon emission at the fingertips of students with a high intensity electromagnetic field generated by the electro-

Photonics pulse analyzer, before and after the tasks of understanding oral.

Figure 7.1: The activation of the ratio of 1 student

Figure 7.2: The activation of the ratio of student 2

Figure 7.3: The activation of the ratio of student 3

Figure 7.4: The activation of the ratio of pupil 2

Figure 7: Distribution of the triggering factor in ESL four participants before and after the listening test

The image recording was performed with and without filter. Two integral parameters, activation entropy and integral coefficient, were analyzed and considered as possible indicators of student anxiety participants. According Korotkov

[5], the activation rate is an average of the absolute magnitude of the difference coefficients of energy diagrams created with images captured with and without filters for power GDV corresponding dispersions.

The anxiety scale of 0-10 on base

activation coefficient is divided into four main parts: 0-2 (low anxiety), 2-4 (normal level of anxiety, 4-8 (high anxiety) and 8-10 (anxiety, impaired consciousness). The activation coefficient ESL participants before and after the listening test four shown in Figure 7. As seen in this figure, the activation coefficient of three of the four participants was high before and low test after test. The coefficient of activation of these participants decreased from 5.37 to 4.66 (13%), from 2.43 to 2.12 (13% decrease) and 5.42 to 2.06 (62% decrease). For the fourth participant, activation rate of increase after the test (from 2.97 to 3.28 before the test after test – 10% increase). We hope that the anxiety to rise after listening activities. However, for 3 of 4 participants in ESL, we observed no increased activation rate after the listening test.

Figure 8.1: Entropy student completes 1

Figure 8.2: The activation of the ratio of pupil 2

Figure 8.3: The total entropy of the student 3

Figure 8.4: The activation of the student ratio of 4

Figure 8: Distribution integrated entropy of the four LEC participants before and after the listening test

Thus, the anxiety scale of 0-10 proposed after Korotkov can not be used to assess anxiety in ESL listening task, but we do not exclude the possibility of using the activation coefficient as a measure of anxiety assessment for the activities of other languages such as speaking, reading and writing.

Moreover, the distribution of the entropy integral

has shown results very promising. Integral entropy is a measure of the deviation balance of physiological and psycho-emotional. The level of anxiety on the basis of the entropy integral is divided into four main parts

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

4 (high anxiety) and> 4 (very high level of anxiety). As shown in Figure 8, the level of entropy integral to all four ESL participants measured by the GDV-grams for the left hand for the right hemisphere human brain has increased after the test compared with values obtained before the test. The integral entropy level of participating students increased 1.77 to 2.08 (up 18%) from 1.77 to 1.90 (an increase of 7%), from 1.73 to 2.06 (19% increase) and 1.58 to

1.76 (11% increase). Therefore, provides for the use of entropy as a measure of anxiety inclusive learning English as a second language, at least for the tasks of listening, justified by the results our pilot study.

Our preference for the entropy as an integral measure of anxiety is also justified by the following observations of the literature on chaos Science / Complexity and Second Language Acquisition [41] and the recent discovery in the literature that the right hemisphere is more involved in the second language that are less known and less educated in the language [42].

According to Larsen-Freeman [41], language learning

is a dynamic, complex, open, self-organization, information difficult, and is limited by strange attractors. It is complex because many factors are involved in the interaction in the process of ESL learning. Learning new vocabulary is a nonlinear process, for example, students can hear the text with familiar words and at ease in performance, but when the teacher introduces new words, instead of advancing, Student performance becomes less relevant, because after the introduction of new unknown words, the system has built student in his mind implodes. Therefore, the terms are ordered very often followed by periods of chaos, especially when introducing something new and students have established a new content to your understanding and awareness. Order finally be restored by interaction with others. The metrics capture the fluctuations of the entropy integral in the psycho-physiological development and an individual's emotional state ordered a state of disorder and vice versa.

The results of a recent study has shown the significant difference between the level of competence and involvement in processing hemisphere language. Has been shown that the right hemisphere is more complicated human brain and thus contributes to an increase of entropy in the second language with less experience and [Training under 42]. The results of our pilot study provide empirical evidence for this conclusion and show that the task of understanding spoken English, second language, to allow operation of the right hemisphere of the human brain, which is responsible to evaluate and analyze the semantic and phonetic language.

5 Conclusions and perspectives

Biometrics are used to identify unique features based on anatomical and physiological parameters an individual's psychological. Bioinformatics electography GDV biometric technology based on a tool to identify the unique signature expressed by individuals in physiological and psycho-emotional. Learning English as a Second Language (ESL) is a process that is accompanied by anxiety, which can negatively affect performance student. This paper demonstrated the use GDV to measure, quantify and

are the anxiety level ESL students. We identify the entropy GDV integral measured by the appropriate parameter to quantify and visualize the increase in anxiety. As seen from the results of our pilot study, students entropy ESL integral has increased listening comprehension task by 7% -18%. Our conclusion from the use of global entropy, from images collected from the left hemisphere for the law, is also supported by recent findings in the EEG (electroencephalogram) synchronization in the literature. Thus, as a tool GDV biometric can be used to study the anxiety associated with learning and other areas of ESL education.

We hope the integral entropy can also be used to capture the anxiety of students in ESL activities for other languages, such as reading, writing and oral and verified in our future work. As part of future work, we also develop computer models that can identify unique biological signatures that are characteristic of the anxiety level ESL teaching language for a given activity.

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About the Author

1/20/10: White House Press Briefing