• 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.

• The Journal of the Korea Contents Association
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• v.17 no.3
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• pp.571-577
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• 2017

Through the 2015 Revised Curriculum, programming education is introduced into the elementary school regular curriculum as part of the software education. Effective teaching & learning methods can be presented through an analysis of the effects of programming education on the problem-solving abilities. In this paper, students were divided into two groups according to their academic achievement, a learning program was developed for five times of implementation using the entry and the sensor board for the entry, and classes to which it was applied were conducted. Before and after the classes, a problem-solving test tool was used to measure and analyze the changes in Gamma waves and EEG concentration indicators. As a result, the gamma waves and the concentration indices of the students in the group with high academic achievement showed a tendency to be improved through the programming lessons, and those of the students in the group with poor academic achievement showed no such tendency. Through this, the necessity of the level-specific programming education in consideration of students' academic abilities was suggested.

• 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.

• Korean Journal of Acupuncture
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• v.30 no.2
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• pp.135-142
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• 2013

Objectives : This study aimed to investigate the general effects of low-frequency electrical stimulation of the ankle joint acupuncture points(BL62 and KI6) on the brain waves of elderly women as a pilot study to figure out the possibility of candidate non-invasive and non-chemical stimulation method for the enhancing the brain function. Methods : A randomized, controlled, double-blinded clinical trial was performed in 31 healthy women(mean age, 54.5 years) within a treatment duration of 12 sessions. In the experimental group, low-frequency electrical stimulation was applied using the maximum range of the individual insensible strength(mean current, $0.04{\mu}A$). The control group received sham stimulation. The background electroencephalographic activity was measured before and after the12 sessions. Results : After 12 sessions of stimulation, the relative power of the alpha wave increased(32 of 32 channels: significant difference in 11 channels, p<0.05); the theta(30 of 32 channels: significant difference in 10 channels, p<0.05), beta(31 of 32 channels), and gamma(30 of 32 channels: significant difference in 7 channels, p<0.05) powers were also decreased compared with the sham group. Conclusions : Electrical stimulation on the ankle joint acupuncture points(BL62 and KI6) seemed to stabilize the elderly women brain by inducing the alpha power and reducing beta, theta, and gamma powers. These results provide insight into the action mechanism of the stimulation and can assist the future developement of a non-invasive and non-chemical treatment technique for stressor related cognitive problems.

• Science of Emotion and Sensibility
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• v.14 no.2
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• pp.311-320
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• 2011

To quantitatively analyze the effects of color stimulation which is one of the major affecting factors on human emotion, we studied the relationship between color preference and the Electroencephalography (EEG) to 3 color stimuli; bright yellow red (BYR), deep green yellow (DGY), and vivid blue (VB). Physiological signal measured by EEG on the color stimulation was closely related with their well-known colorful images. The brain become more activated with decreasing the color temperature (BYR${\geq}$DGY>VB), and the right brain is more sensitive than the left. On the whole, the EEG values of the frequency bands are in order to beta ${\geq}$ theta and alpha > gamma. As decreasing the color temperature, beta wave increased (BYR${\geq}$DGY>VB), and alpha, beta and gamma waves increased with increasing the color temperature (BYR${\geq}$DGY>VB). The relationship between the color preference and EEG values showed EEG gets more activated at some frequency bands when the color preference becomes higher. In conclusion, the specific frequency band could be activating by a color stimuli which had showed higher the preference. It means that these color stimuli can apply for various industries such as beauty industry, interior design, fashion design, color therapy, and etc.

• Proceedings of the Korean Society for Emotion and Sensibility Conference
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• 2001.05a
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• pp.156-161
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• 2001

본 연구에서는 45명의 가상현실 사용자들의 가상현실 전, 중, 후의 생리신호의 변화를 관찰하였고 성격, 능력 특성 설문지, 가상현실 평가 설문지를 이용하여 심리적 영향을 알아보았다. 체온의 변화 양상을 기준으로 하여 가상현실 사용자의 심리생리학적 유형을 나누고 유형별 심리적인 반응 특성을 살펴보았다. 1) A 유형: 가상현실 유행동안 체온이 연속적으로 감소하는 유형. 2) B 유형: 가상현실 윤행초기에 체온이 급격히 증가해서 운행동안 서서히 체온이 상승하는 유형. A 유형에 속하는 사용자들의 성격적 특성은 Holland의 성격 유형이론에 근거하여 실제형의 사람들이 많은 것으로 나타났으며 B 유형은 탐구형, 사회형의 사람들이 많은 경향으로 나타났다. 멀미민감도는 A 유형이 B 유형보다 더 크게 나타났다. A, B 유형의 뇌파분석 결과 정중 전두부 (Fz), 정중 중심부 (Cz)에서 베타파, 감마파 상대파워가 유의미한 차이가 있는 것으로 나타났다. 체온의 변화 양상에 따라 나눈 A, B 유형은 성격 및 능력 특성, 멀미민감도에 있어서 유형간 차이가 있는 것으로 나타났다.

• Proceedings of the Korea Contents Association Conference
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• 2017.05a
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• pp.393-394
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• 2017

2015 개정 교육과정을 통해 소프트웨어 교육의 일환으로 프로그래밍 교육이 초등학교 정규교과에 도입된다. 프로그래밍 교육이 문제해결력에 미치는 영향에 대한 분석을 통해 효과적인 교수 학습 방법이 제시될 수 있다. 본 연구에서는 엔트리와 엔트리용 센서보드를 활용한 5차시 분량의 학습 프로그램을 개발하고 그것을 적용한 수업을 실시하였다. 수업 전 후에 문제 해결 검사도구를 활용하여 학생들의 감마파와 뇌파집중 지표의 변화를 측정하고 분석하였다. 이를 통해 효과적인 프로그래밍 교육의 필요성을 제안하였다.

• The Journal of the Korea institute of electronic communication sciences
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• v.15 no.3
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• pp.527-532
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• 2020

In this paper, we presented the results of analysis through EEG measurement for the purpose of checking the frequency band of EEG signals that can be used for personal authentication. The measurement status was divided into the open-eye state and the closed-eye state depending on the presence or absence of an optical task. The data measured in the EEG experiments was divided into seven frequency bands : delta waves, theta waves, alpha waves, SMR waves, mid-beta waves, beta waves and gamma waves to identify the frequency band with the smallest power fluctuation over time. In our results, there was no significant difference between the open-eye state and the closed-eye state, and the SMR waves and mid-beta waves related to human concentration had the smallest fluctuation in power over time, and were a highly reproducible frequency band.

• Proceedings of the Korean Institute of Information and Commucation Sciences Conference
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• 2015.05a
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• pp.958-961
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• 2015

Emotional expression is universal and emotional state impacts important areas in our life. Until now, analyzing the acquired EEG signals under circumstances caused by invoked feelings and efforts to define their emotional state have been made mainly by psychologists based on the results. But, recently emotion-related information was released by research results that it is possible to identify mental activity through measuring and analyzing the brain EEG signals. So, this study has compared and analyzed emotional expressions of human by using brain waves. To get EEG difference for a particular emotion, we showed specific subject images to the people for changing emotions that peace, joy, sadness and stress, etc. After measured EEG signals were converged into frequence domain by FFT signal process, we have showed EEG changes in emotion as a result of the performance analyzing each respective power spectrum of delta, theta, alpha, beta and gamma waves.

• 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.