• Journal of Digital Convergence
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• v.17 no.3
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• pp.221-226
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• 2019

The characteristic of the beta wave among the EEG waves corresponds to the stress area of human perception. The over-bandwidth of the stress is extracted by analyzing the beta-wave correlation between the low-bandwidth and high-bandwidth. We present a KMeans clustering analysis model for unsupervised machine learning to construct an analytical model for analyzing and extracting the beta-wave correlation. The proposed model classifies the beta wave region into clusters of similar regions and identifies anomalous waveforms in the corresponding clustering category. The abnormal group of waveform clusters and the normal category leaving region are discriminated from the stress risk group. Using this model, it is possible to discriminate the degree of stress of the cognitive state through the EEG waveform, and it is possible to manage and apply the cognitive state of the individual.

• The Journal of Korean Institute of Communications and Information Sciences
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• v.39C no.11
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• pp.985-993
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• 2014

This paper suggested a new evaluation method for optimal HUD position through a correlation based on between biological signal as and statistical analysis which using (Electroencephalogram, EEG) and ANOVA. This experiment was conducted two kinds of method to evaluate the optimal HUD position. At first, visual stimulus suggested from six different positions(the top and the bottom of the left, the top and the bottom of the center and the top and the bottom of the right on the screen) in laboratory and an object image was shown for 30 seconds in a screen which has $235{\times}197cm2$ size. And second, HUD image was configured from three different positions and an object image was shown for 30 seconds in a screen. EEG, which used ${\alpha}$-wave and ${\beta}$-wave for evaluate an emotional stability, were measured from Fp1, Fp2, F7 and F8 channel based on ten to twenty electrode system. From the result in laboratory, F7 ${\beta}$-wave was shown statistically significant to significance probability of 0.006 and between ${\alpha}$-wave and ${\beta}$-wave were showed a negative correlation(r=-0.190). Also, Both the top of left and the bottom of center were showed lower ${\beta}$-wave than the bottom of right. From the result in railway simulator, Fp1 ${\beta}$-wave was appeared statistically significant as significance probability of 0.033 and it was showed lower ${\beta}$-wave than center. The outcome of this study will be helpful about evaluation of optimal HUD position through correlation between alpha wave and beta wave.

• KIPS Transactions on Software and Data Engineering
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• v.7 no.9
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• pp.361-366
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• 2018

Previous studies on fear of crime used survey and interview to measure fear of crime. However, though these methods can measure fear of crime in past events, they cannot measure real time fear of crime. In this paper, we use EEG to measure fear of crime in real time. We measure and analyze the EEG of subjects watching the video and confirm the difference between three groups classified according to the degree of fear of crime. As a result, about two times more beta waves are shown when a group of subjects with a high degree of fear of crime watches the images of fear of crime and 1.5 times more beta waves are shown among the other groups. Although watching videos related to the crime increased the beta waves, the police video showed little increase in beta waves because the subjects can sense safety in the video even if it is related to crime.

• The Journal of the Korea institute of electronic communication sciences
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• v.9 no.11
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• pp.1277-1282
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• 2014

In this paper, we aimed to analysis EEG signals related to concentration of adolescents using letter visual stimulus to induce the concentration. The visual stimulus tasks were searching errors of propositional particle in several sentences. In the EEG signals, we specially focussed on SMR waves and mid-beta waves according to the results of a preceding research. Therefore we presented position of channel and frequency band of mid-beta significantly related to the concentration waves as the experimental results.

• Proceedings of the Korean Institute of Information and Commucation Sciences Conference
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• 2015.05a
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• pp.951-953
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• 2015

Learning for thinking says the behavior of the organism changes as a result of practice or experience. It is very difficult to identify focusing ability objectively when students study. But, brain of the body is not so. EEG signal means continuously electric records of brain potential variation between two points on the scalp when brain activities take place. In types of EEG, there are delta(0~4Hz), theta(4~8Hz), alpha(8~13Hz), beta(13~30Hz) and gamma waves(30~50Hz). SMR waves and Mid-beta waves appear when focused for studying. Part for the most influence on concentrating reported that Mid-beta waves. In relation to brain activities, EEG has been actively researched for evaluating brain focus index system during learning and study. So, By using Biopac system for this study, measured brain wave was converted into FFT for extracting Mid-beta domain signals that are related to learning after giving focus invoked subjects to a small number of people. When concentrating, we measured the change in the power of the Mid-beta frequency domain and presented a correlation. Based on these results, we analyzed whether students are concentrated objectively on learning or not. and hope to offer more efficient learning method.

• Proceedings of the Korea Information Processing Society Conference
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• 2015.10a
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• pp.1786-1787
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• 2015

무안경 3차원 입체영상 시스템은 광고 패널, 공연 전시 등에 활용되고 있다. 본 연구에서는 무안경식 입체영상 시스템의 디스플레이로 활용되고 있는 렌티큘러 방식 3차원 입체 영상에 대해 화질변화에 따른 사용자의 반응을 뇌파 (Electroencephalogram, EEFG) 측정을 통해 분석하였다. 총 26명의 피험자를 대상으로 렌티큘러 방식의 디스플레이를 통해 최적입체영상과 왜곡입체영상을 차례로 제시하고 각 영상에 대해 획득한 뇌파를 통계 분석하여 상관관계를 확인하였다. 분석 결과 뇌파진동 중 알파파의 경우 최적입체영상과 왜곡입체영상 사이에서 통계적으로 유의미한 차이가 확인되지 않았으나 베타파의 경우 통계적으로 유의미한 차이가 확인되었다. 베타파의 경우 왜곡입체영상에서 최적입체영상보다 통계적으로 유의미하게 높게 나타났으며 이는 왜곡입체영상 시청 시 피로감 또는 불안감 증폭에 따른 베타파의 뇌파활동이 높아진 것으로 예상된다. 본 연구결과를 바탕으로 랜티큘러 방식의 무안경 입체영상에 대한 객관적 사용자 평가를 위해 뇌파분석을 활용한 접근 방법이 가능함을 확인하였다.

• Science of Emotion and Sensibility
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• v.17 no.2
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• pp.101-110
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• 2014

High-frequency is sound produced in non-audible area, which couldn't be heard in daily life. The frequency range above 22Khz is called 'high-frequency' and its components are called 'HFC(High-Frequency Components)'. It is known that ocean wave sound is rich in HFC, because it brings serenity and causes ${\alpha}$-waves in human mind. When this natural sound is combined with high-frequency, it seems to give a pleasurable feeling, indicated by an ${\alpha}$-wave increase and a ${\beta}$-wave decrease. We call this phenomena "the hypersonic effects". In this experiment, subjects listened to the ocean wave sound simultaneously with corresponding frequencies similar to ocean wave frequency components created artificially in a electric circuit. Brain waves were measured by an EEG system with 8 channels using 8 electrodes on Fp1, Fp2, F3, F4, T3, T4, O1, and O2. The results showed that ${\alpha}$-wave increase and ${\beta}$-wave decrease were statistically significant while subjects were listening to the ocean wave sound along with the high frequency components, reflecting the hypersonic effect.

• Journal of the Korean Society of Floral Art and Design
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• no.43
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• pp.57-79
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• 2020

The purpose of this study was to investigate the effects of emotion and EEG of people with mental illness by vocational rehabilitation program based on horticultural therapy. The subjects of the study were three people with mental illness who were training in a vocational rehabilitation team at a health center located in G city, Gyeongsangbuk-do. The result of this study, positive affect increased and negative affect decreased. The result of EEG inspection was increased 17.27% on pre test to 21.39% on post test for Theta wave and 39.66% on pre test to 49.02% on post test for Alpha wave in case of subject A. Also Beta wave was decreased 27.53% on pre test to 17.54% on post test. Subject B increased Alpha wave 29.70% on pre to 31.82% on post. Subject C increased Alpha wave 26.30% on pre to 49.42% on post. Beta wave decreased 29.85% on pre to 16.13% on post. Theta wave, when creatively idea or thought occurs, alpha wave when safety and focusing was increased and beta wave when stress, tension and anxiety was decreased. As a result of profits analysis, subject A spent cost a total of 101,700 won for material and achieve profits of 203,400 won by setting a sales price. Therefore, gain the 101,700 won of net revenue. Subject B spent cost a total of 81,000 won for material and achieve profits of 162,000 won by setting a sales price. Therefore, gain the 81,000 won of net revenue. Subject C spent cost a total of 56,200 won for material and achieve profits of 112,400 won by setting a sales price. Therefore, gain the 56,200 won of net revenue.

• Journal of Korean Society of Transportation
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• v.34 no.6
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• pp.560-569
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• 2016

Previous studies show that driver mental workload plays a significant role in the occurrence of traffic accidents. This study also analyzes driving workload under different road conditions especially with the brain wave data collected by a driving simulator. We use a logistic regression model to explain the relationship between driving workload and gamma brain waves. The results show that beta band of brain waves becomes broader with more curved sections while alpha band and gamma band become narrower. Since driving workload is negatively correlated with gamma band, it can be concluded that driving condition with less curved section is beneficial for reducing driving stress and increasing driving comfort.

• Journal of the Korean Society of Radiology
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• v.6 no.6
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• pp.515-520
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• 2012

The stress of modern society as the biggest areas of interest are being considered to be the cause of all disease. These stresses affect the brain, particularly in the unusual, the reduction of alpha-wave is that it happens. In this study, about the stress of alfa-wave EDT alternative medicine techniques to evaluate whether the positive impact is on. Application of the 10 minutes 2 times a week carried out two weeks with the following conclusions were protruding. Alternative Medicine EDT to apply techniques to stabilize the meaning of the EEG alpha and beta wave of the increase was reduced, showed no significant effect in reducing gamma-wave suggest that there is some help. Through these results, EDT alternative medicine technique stress in alfa-wave because of the significant effects in improving elementary school teachers on stress management and emphasizes the necessity of actively used.