• Journal of the Korea Society of Computer and Information
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• v.28 no.3
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• pp.35-43
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• 2023

Emotion recognition while driving is an essential task to prevent accidents. Furthermore, in the era of autonomous driving, automobiles are the subject of mobility, requiring more emotional communication with drivers, and the emotion recognition market is gradually spreading. Accordingly, in this research plan, the driver's emotions are classified into seven categories using psychological and behavioral data, which are relatively easy to collect. The latent vectors extracted through the auto-encoder model were also used as features in this classification model, confirming that this affected performance improvement. Furthermore, it also confirmed that the performance was improved when using the framework presented in this paper compared to when the existing EEG data were included. Finally, 81% of the driver's emotion classification accuracy and 80% of F1-Score were achieved only through psychological, personal information, and behavioral data.

• The Journal of the Korea Contents Association
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• v.17 no.10
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• pp.376-384
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• 2017

Color therapy is a diagnostic method for treating psychological problems using unique vibration and frequency color. The color has strong subjective psychology, it can give psychological stabilization effect as a spring as a favorite color and stability become personally personal. Also, to give various influences on emotion, we can obtain information via brain wave to evaluate these emotions. In this research, before viewing two kinds of VR color images of red and blue, responding to the stress questionnaire(BEPSI-K) via a mobile terminal. At this time, we analyzed the real-time we used four emotional data measurable via brain waves and grasped the user's emotional state. In addition, the stress questionnaire was used to quantify the emotion degree, and comparative analysis was made on how the color image affects the change of emotions with 3D virtual reality.

• The Journal of the Korea Contents Association
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• v.18 no.2
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• pp.652-660
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• 2018

The common point between and is that the immersion was high at the point where all the place movements occurred in the narrative before the full-blown incident occurred. The immersion level showed the maximum at the turning point that passed to the place. Seven key events occur, and the audience's immersion is peaking at the time of each incident. The core event and the immersion are highly correlated. It is at a point where the background, such as movement from the third act, where the most central event is solved, or return to the original place, is changing. The immersion degree of the audience is closely related to the narrative from the first film to the third film of the narrative.

• Journal of Korean Society of Transportation
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• v.24 no.7 s.93
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• pp.7-14
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• 2006

Most researches about rumble strips have Presented only the before-and-after analysis of the accidents. So, Researchers have not dealt with the estimation of rumble strip's effectiveness on the driver's alertness. In this study. the effectiveness of the rumble strips on the driver's alertness was estimated by measuring the bio-signal transmitted from the driver. The bio-signal acquired for this experiments were theta wave in central lobe. The experimental results revealed that the theta waves as measured form the drivers's head while in the rumble strip section differed from those while in non-rumbled section; 74 percent decrease in theta wave value, respectively. This fact finding could mean that the driver's alertness increased from 74 percent while in the rumble strip section of the road. In all five trials of driving experiments on the rumble strip section, all the drivers showed the best alertness as measured by the theta waves in the first driving trial.

• Proceedings of the Korean Institute of Information and Commucation Sciences Conference
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• 2018.05a
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• pp.687-689
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• 2018

The current EEG device can determine the concentration, but can not determine the concentration of the state. Therefore, we distinguish attitude based on Mindwave Attention data and additionally Pitch data to distinguish whether or not we are looking at a video object, and suggest a method to obtain better performance. Attention data were measured in the state where the images were viewed and concentrated. In the case of the Pitch data, Sit was measured when sitting on a desk and Lie when lying down. Attention value was 38 or more. When the value of the Pitch is smaller than -48, it is judged that it is in a prone state. When the concentration and sitting state were satisfied with this threshold value, it was judged that they focused on watching the actual video.

• Journal of Sasang Constitutional Medicine
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• v.12 no.1
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• pp.37-47
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• 2000

We detect lots of problems on the manufacturing spot because of working results done without considering the aptitude and inherited temper(constitution, blood type, male and female) of the worker, and they lead to results not only the occupational disease and the cause of industrial accidents but also quality deterioration and productivity reduction in point of view of manufacturing management. For the purpose of solving these problems, this study is perfomed by grasping the correlation sasang constitutions and job characteristic of small & medium enterprises. We classify sasang constitutions to four types : so-yang-in type, tae-yang-in type, tae-em-in type, so-em-in type by the utilization of QSCC II and the doctor aid of oriental medicine, and also survey differences of classified sasang constitutions with previous studies. This study tries to identify significant features between major jobs resulting from sasang constitution types in a specific small & medium enterprise producing agricultural machinery(a tractor, a combine, etc). The results of this case study indicate that sasang constitution types influences job types. Under the working conditions that virtual reality scene photographed by video camera are running, also the effects of brain function of each worker using Electroencephalograms(EEGs) are investigated. Electroencephalograms(EEGs) provide much information about the brain function, such as relaxation, concentration, various thoughts and so on. Previous studies reported the appearance of ${\theta}$ waves and an increase in the ${\alpha}$ waves during psychologically satisfaction conditions. An statistical analysis of experiments conducted shows the various changes of brain waves(${\alpha},{\beta},{\theta},{\delta}$ waves). By means of these study results, we can identify that sasang constitutions should be applied to contribute much to quality advancement and productivity improvement through a comparative study on the job characteristic.

• Journal of IKEEE
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• v.22 no.4
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• pp.1195-1201
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• 2018

This paper interprets the relationship between the physical activity of the human and the signal of the brain to show the meaningful results in the process of sending and receiving information to the connected muscles. When a person works or thinks, a specific brain signal is generated from the brain and being trasmmited to the connected part. The EMG signal, which has muscle activity information, outputs the result of the muscle activation as an electrical signal, which outputs muscle activity information usually due to muscle contraction and relaxation. The purpose of this study is to analyze the relationship between the two signals, which are difficult to identify easily by visual data extraction and data acquisition by extracting such EMG and EMG in real time.

• Proceedings of the Korean Society of Computer Information Conference
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• 2016.07a
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• pp.41-42
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• 2016

본 논문에서는 급증하는 사회적 문제인 자살에 대해 가상현실 체험을 통해 예방할 수 있는 콘텐츠 설계를 제안한다. 엔터테인먼트 형태의 콘텐츠로 뇌파 측정을 하여 자살증후군을 가진 대상자를 선별하고 이에 따른 자살동기 유형별 적합한 자살예방콘텐츠를 설계하는 것이다. 콘텐츠 설계는 자살예방을 위한 검증된 프로그램을 적용하고 사용자의 자연스러운 몰입을 유도하도록 VR 기기를 활용한다. 콘텐츠 사용을 통하여 수집된 데이터 분석으로 오프라인 전문가의 심층적인 치료 및 교육이 가능하도록 연계한다. 본 논문에서 설계된 콘텐츠를 이용하여 자살에 대한 경각심을 주거나 예방을 할 수 있을 것으로 기대한다.

• Proceedings of the Korean Society for Emotion and Sensibility Conference
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• 2000.04a
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• pp.67-70
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• 2000

본 논문은 음악 리듬의 속도의 변화가 작업자에게 미치는 영향을 평가하기 위하여 음악의 리듬의 속도를 다섯 단계로 변화시키면서 평가하였다. 평가를 위하여 미리 제작된 MIDI 음악을 들려주면서 피험자가 연산작업을 수행하는 동안의 오답 발생률과 연산반응시간과 뇌파 등 5종류의 생리신호를 측정하였다. 측정 데이터를 분석한 결과 자극음의 속도가 증가할수록 작업자의 오답률이 높아지고 연산 반응 시간이 길어져 작업능률이 저하됨을 관찰할 수가 있었다. 특히 리듬의 특정 속도 ♩=160(160/min)에서 ♩=200(200/min)보다 오답률이 높고 반응시간이 길어지므로 작업에 적합한 리듬의 속도가 존재함을 알 수 있었다.

• Proceedings of the Korean Society for Emotion and Sensibility Conference
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• 2003.11a
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• pp.1141-1144
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• 2003

본 연구에서는 미래 감성실내 공간색채에 대한 연구로 심리설문반응과 생리 신호 분석을 통하여 감성색채데이터 분석에 목적을 두었다. 생리신호반응 분석 중 뇌파측정과 7점 척도 SD 스케일법을 이용한 설문조사를 실시하여, 정상적인 감성어휘와 정량적인 생리신호 결과의 상호관계를 분석하였다. 기존의 직관적이며 주관적인 색채 배색디자인과 심리분석의 색채연구결과에 비해 본 연구는 객관적이며 과학적인 방법 및 주관적인 감성어휘를 연결짓는 것으로 연구의 의의를 두었다. 이러한 연구는 감성에 미리 반응하는 감성 지능형 환경디자인에 중요한 페이지로 활용될 수 있을 뿐만 아니라 현대인의 건강에 대한 관심 증가에 따라 건강 증진 환경디자인에 도움을 줄 수 있는 색채 배색을 제안할 수 있다.