• Title, Summary, Keyword: Brainwave

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EEG Asymmetry Changes by the Left and the Right SMR Brainwave of the Computer Learning Versus the Paper and Pencil Learning

  • Kwon, Hyung-Kyu;Cho, Jang-Sik
    • Journal of the Korean Data and Information Science Society
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    • v.18 no.4
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    • pp.1073-1079
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    • 2007
  • The purpose of this study is to present the relationship between the computer learning and the paper and pencil learning through the math learning (simple computation and complex computation) and the cartoon learning and text learning. The canonical correlation and pairwise t-test of the SMR asymmetry brainwaves of the left and the right brain show the brainwaves with the respect to the manner in which they process information during the specified task by identifying the relative activity of the brainwaves of the left and the right brain. SMR brainwave which known as the scientific measure tool for the activity and the function of the neuronal cell were found to predict the level of the awakening to check the readiness of study preparation. Computer education as a medium of the individualized and the repetitive education shows the difference from the paper and the pencil test in the respect of the differences and the relationship of the SMR brainwave of the learning process.

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Analysis on The Reflection Degree of Worker's Stress by Brain-waves based Anti-Stress Quotient (뇌파기반 항스트레스 지수에 의한 직장인의 스트레스 반영도 분석)

  • Ahn, Min-Hee
    • Journal of the Korea Academia-Industrial cooperation Society
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    • v.11 no.10
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    • pp.3833-3838
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    • 2010
  • Brainwave can be the most effective means of detecting the state of the brain that changes moment by moment. Since brain has closed relations with hormones which are a foundation of metabolism, it needs to examine closely the mutual relationship between brainwave and hormone. We examined the possibility to find out such information about metabolism by comparing brainwave with cortisol hormone. The major variables are anti-stress quotient of brainwave and cortisol density which give stress information of the working women, to measure from March 3 to May 28, 2007. To find out the relationship between them, we performed such statistical analysis about the before and after of brainwave training as t-test, correlational analysis and regression analysis. We obtained following results: First, considerable changes of variables is shown by brain-wave training. Second, there exist a correlation between variables. Third, according to regression analysis, influence between variables is verified. Thus, we found that stress information of hormone analytical level can be obtined only through brainwave analysis.

Characteristics of the Tactile Brainwave on the Surface of Interior Finishing Materials - Focusing on the measurement of 'α-wave against β wave' - (실내마감재 표면에 감각하는 촉각적 뇌파특성 - '베타파에 대한 알파파' 측정 중심으로 -)

  • Yeo, Mi;Lee, Chang No
    • Korean Institute of Interior Design Journal
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    • v.25 no.2
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    • pp.59-69
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    • 2016
  • This study aimed to understand the importance of applying finishing materials into interior space, and to add meaning to the creation of functional space, associated interior finishing materials with brain science. To achieve this purpose, brainwave(EEG) experiment was conducted. The brainwave appearing when sensing the surface of interior finishing materials with hands was measured. The locations of the electrode were FP1, FP2, F3, F4, C3, C4, P3, P4, O1, O2, F7, F8, T3, T4, T5, T6, CZ, FZ, and PZ and in addition to these, AFZ was added. Eight(8) kinds of finishing materials: metallic material, film paper, lumbar, stone, glass, silk wallpaper, fabric, and paint were used to measure '${\alpha}$-wave against ${\beta}$ wave.' As a result, it was found that the most activated finishing material in term of relaxation was film paper, followed by metallic, glass, paint, fabric, stone, lumbar, and silk wallpaper. To explain in light of this, (1) '${\alpha}$-wave against ${\beta}$ wave' was the most activated at ch1-FP1 and ch2-FP2, and at ch17-AFZ and ch19-FZ, which indicated that metopic-prefrontal lobe showed the highest activation in relaxation. Film paper, among the finishing materials, showed the highest increase in relaxation. (2) In general, '${\alpha}$-wave against ${\beta}$ wave' relaxation was inhibited at ch13-T3 and ch14-T4, and at ch15-T5 and ch16-T6 and the arousal in the temporal lobe was prominent. Silk wallpaper, among the finishing materials, showed the highest arounsal effect. As a result of measuring the superficial touch on the silk wallpaper, which was regarded as the most rough material among the eight finishing materials, the arousal effect of ${\alpha}$-wave against ${\beta}$-wave, among the brainwave characteristics, was found to be the highest. (3) to judge from the scope of this experiment regarding the tactile sensation over the finishing materials, it is considered that the brainwave reaction sometimes appeared contrastive depending on whether the surface was smooth or rough and there also appeared a difference in relaxation and arousal reaction of the brainwave depending on whether the surface was hot or cold, but the sensation on the surface texture was often evaluated differently depending on who you were. For this reason, this study has some limitations.

Classification Method of Sleep Induction Sounds in Sleep Care Service based on Brain Wave (뇌파에 기반한 수면케어 서비스에서 수면유도음향의 분류기법)

  • Wi, Hyeon Seung;Lee, Byung Mun
    • Journal of Korea Multimedia Society
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    • v.23 no.11
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    • pp.1406-1417
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    • 2020
  • Sounds that have been evaluated to be effective in inducing sleep are helpful to reduce sleep disorders. Generally, several sounds have been verified the effects by brainwave experiments, but it cannot be considered on all users because of individual variation for effects. Moreover, the effectiveness for inducing sleep is not known for all new sounds made by creative activities. Therefore, new classification system is required to collect new effective sounds with considering personal brainwave characteristics. In this paper, we propose a new sound classification method by applying improved MinHash cluster to brain waves. The proposed method will classify them through whether it is effective for sleep care by evaluation his brainwave during listening for each sound. In order to prove effectiveness of the proposed classification method, we conducted accuracy experiment for sleep sound classification using verified sleep induction sound. In addition, we have compared time for existing method and proposed method. The former is scored 85% accuracy in the experiment. We confirmed the latter one that the average processing time was reduced to 70%. It is expected to be one of method for pre-screening whether it is effective when a new sound is introduced as a sound for sleep induction.

The Effect of Brainwave Traing on Students' Acadamic Achievement and Ability of Resisting Stress -for the Primary Student- (뇌파 조절 훈련을 통한 스트레스저항능력이 학업성취도에 미치는 영향연구 -초등학생을 대상으로-)

  • Ahn, Sang-Kyun;Bak, Ki-Ja
    • Journal of the Korea Academia-Industrial cooperation Society
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    • v.10 no.10
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    • pp.2952-2958
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    • 2009
  • This study was to examine the effectiveness of brainwave training by observing the pre and post brainwave measurement results of about 48 (experimental group 24, comparative group24) subjects who have shown resistancestress and student assessment. The study took place at neuro-training center in P city I, during Jul. 2008 and Dec. 2008. As the brainwaves are adjusted by Brain Quotient, the tool used to measure the student assessment was 5Likert Scale questionnaire. The result confirmed the differences of both resistance stress quotient and student assessment. The result of the study suggest brainwave technique's possibility in positively affecting the subjects" resistance stress quotient and student assessment. This study revealed meaningful relation between neurofeedback training and stress among several categoties, while suggesting follow-up researches figuring out more detailed explanations.

Homogeneity Analysis for the SMR Brainwave by the Functional Lateralization of the Brain Based on the Science Learning Methods

  • Kwon, Hyung-Kyu;Cho, Jang-Sik
    • Journal of the Korean Data and Information Science Society
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    • v.18 no.3
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    • pp.721-733
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    • 2007
  • The purpose of this research was to determine the effects of the functional lateralization of the brain variables related to the sex, the scientific attitude and the scientific exploration skills. The science instruction is divided in each type of the lecturing class with the experiment class. As for the degree of SMR brainwave activation in each stage are presented while accumulating the brain waves from the right, left and the whole brain waves are analyzed during the science learning activities. It is therefore reasonable to consider the science instruction types and brain lateralization to enhance the science learning effectiveness. Sensorimotor rhythm brainwave as the low Beta is represented well to show the thought process. Category quantification scores and objective scores are calculated to show the visual positioning map for the relationships of the categories by homogeneity analysis.

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A Framework for Electroencephalogram Process at Real-Time using Brainwave

  • Sung, Yun-Sick;Cho, Kyung-Eun;Um, Ky-Hyun
    • Journal of Korea Multimedia Society
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    • v.14 no.9
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    • pp.1202-1209
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    • 2011
  • Neuro feedback training using ElectroEncephalo Grams (EEGs) is commonly utilized in the treatment of Alzheimer's disease, and Attention Deficit Hyperactivity Disorder (ADHD). Recently, BCI (Brain-computer Interface) contents have developed, not for the purpose of treatment, but for concentration improvement or brain relaxation training. However, as each user has different wave forms, it is hard to develop contents controlled by such different wave. Therefore, an EEG process that allows the ability to transform the variety of wave forms into one standard signal and use it without taking a user's characteristic of EEG into account, is required. In this paper, a framework that can reduce users' characteristics by normalizing and converting measured EEGs is proposed for contents. This framework also contains the process that controls different brainwave measuring devices. In experiment a handling process applying the proposed framework to the developed BCI contents is introduced.

The Study on the relationship between the brain function of obese population and their level of obesity based on brainwave (뇌파기반 성인 비만인의 뇌기능과 비만도와의 상관성 연구)

  • Kim, Sun-Hyung;Bak, Ki-Ja;Yi, Seon-Gyu
    • Journal of the Korea Academia-Industrial cooperation Society
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    • v.13 no.7
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    • pp.2949-2954
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    • 2012
  • This study was to examine the correlation between the brain function of adult suffering from obesity and the level of their obesity based on brainwave measurements. Based on the result of Body Composition Analysis (BCA) examination, population of 651 overweight pupils was chosen from June 2011 to December of 2012 in S city, I hospital. These patients were measured by timeseries linear analysis for their brain function and observed via brainwave activities. The results have been thus far; first, as their BMI (Body Mass Index) and level of obesity (body fat percentage) were higher, degree of mental stress and resistant to stress marked lower. These results prove that by managing the stress resistant ability and attention ability, self-controlling ability, one can expect a positive effect on finding a methods to ease the obese-related problems.

Performance Evaluation of Transmitting Brainwave Signals for Driver's Safety in Urban Area Vehicular Ad-Hoc Network (운전자의 안전을 위한 도심지역 자동차 애드혹 통신망의 뇌파전송 성능평가)

  • Jo, Jun-Mo
    • The Journal of the Korea Contents Association
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    • v.11 no.6
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    • pp.26-32
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    • 2011
  • Recently, in the U-health area, there are research related on monitoring brainwaves in real-time for coping with emergent situations like the fatigue driving, cerebral infarction or the heart attack of not only the patients but also the normal elderly folks by transmitting of the EEG(Electroencephalograph). This system could be applied to hospitals or sanatoriums. In this paper, it is applied for the vehicular ad-hoc network to prevent the car accident in advance by monitoring the brainwaves of a driver in real-time. In order to do this, I used mobile ad-hoc nodes supported in the Opnet simulator for the efficient EEG brainwave transmission in the VANET environment. The vehicular ad-hoc networks transmitting the brainwaves to the nearest road-side unit are designed and simulated to draw an efficient and proper vehicular ad-hoc network environment.

Brainwave-based Mood Classification Using Regularized Common Spatial Pattern Filter

  • Shin, Saim;Jang, Sei-Jin;Lee, Donghyun;Park, Unsang;Kim, Ji-Hwan
    • KSII Transactions on Internet and Information Systems (TIIS)
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    • v.10 no.2
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    • pp.807-824
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    • 2016
  • In this paper, a method of mood classification based on user brainwaves is proposed for real-time application in commercial services. Unlike conventional mood analyzing systems, the proposed method focuses on classifying real-time user moods by analyzing the user's brainwaves. Applying brainwave-related research in commercial services requires two elements - robust performance and comfortable fit of. This paper proposes a filter based on Regularized Common Spatial Patterns (RCSP) and presents its use in the implementation of mood classification for a music service via a wireless consumer electroencephalography (EEG) device that has only 14 pins. Despite the use of fewer pins, the proposed system demonstrates approximately 10% point higher accuracy in mood classification, using the same dataset, compared to one of the best EEG-based mood-classification systems using a skullcap with 32 pins (EU FP7 PetaMedia project). This paper confirms the commercial viability of brainwave-based mood-classification technology. To analyze the improvements of the system, the changes of feature variations after applying RCSP filters and performance variations between users are also investigated. Furthermore, as a prototype service, this paper introduces a mood-based music list management system called MyMusicShuffler based on the proposed mood-classification method.