• Title/Summary/Keyword: 감성(emotion)

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Rough Set Based Interpretation of Color Emotion (러프 집합을 이용한 색채 감성의 해석)

  • Park, Eun-Jong;Kim, Sun-Yeong;Lee, Jun-Hwan
    • Proceedings of the Korean Society for Emotion and Sensibility Conference
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    • 2007.05a
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    • pp.109-113
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    • 2007
  • 본 논문은 칼라 패턴의 감성 평가를 위해 러프 집합 이론이 효과적으로 사용될 수 있음을 보여준다. 우리는 주어진 랜덤 칼라 패턴을 보여주고 사람들로 하여금 감성 평가를 하게 하여 수집된 심리학적 실험 데이터를 기반으로 VPRS(Variable Precision Rough Set) 이론을 적용, 관련 규칙들을 추출하였다. 이러한 규칙들은 벽지 등의 컬러 패턴들에 대한 근사적인 감성 평가 뿐만 아니라, 이미지 속성 공간을 언어적 이미지 스케일로 표현된 감성 공간으로 매핑 시키기 위한 적응 퍼지 시스템 등의 초기 조건으로도 사용할 수도 있다.

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Real-time emotion recognition technology using individualization processemotional technology (개인화 프로세스를 적용한 실시간 감성인식 기술)

  • Ahn, Sang-Min;Whang, Min-Cheol;Kim, Dong-Keun;Kim, Jong-Hwa;Park, Sang-In
    • Science of Emotion and Sensibility
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    • v.15 no.1
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    • pp.133-140
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    • 2012
  • We designed a novel individualization process for improving personal emotion recognitions in real time. The designed individualization process was performed by a neutralization algorithm of physiological signals, a subjective emotion reflection of a user updated by personal emotion rules in real time. The physiological signals such as PPG(Photoplethysmography), GSR(Galvanic skin reflex), and SKT(Skin temperature) were measured and analyzed to estimate an emotion states of users. Regulating the emotion status using by emotion rules was performed by reflecting subjective evaluations. The agreement of emotion recognition between of individualization and non-individualization method was estimated by 10 undergraduates (5 females, mean age: $22.1{\pm}2.2$) of Sangmyung University. During the emotion recognition test, 45 images were randomly presented to each participant five times. In results, the proposed individualization process showed the agreement of 71.67 % which was five times higher than when the process was not applied. Therefore, in this study, we demonstrated that the individualization process was significantly useful for customizing emotion recognitions of personal users in real time. The individualization process will be able to improve satisfactions in various emotion related applications and services in the nearer future.

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The study on emotion recognition by time-dependent parameters of autonomic nervous response (TDP(time-dependent parameters)를 적용하여 분석한 자율신경계 반응에 의한 감성인식에 대한 연구)

  • Kim, Jong-Hwa;Whang, Min-Cheol;Kim, Young-Joo;Woo, Jin-Cheol
    • Science of Emotion and Sensibility
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    • v.11 no.4
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    • pp.637-644
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    • 2008
  • Human emotion has been tried to be recognized by physiological measurements in developing emotion machine enabling to understand and react to user's emotion. This study is to find the time-dependent physiological measurements and their variation characteristics for discriminating emotions according to dimensional emotion model. Ten university students were asked to watch sixteen prepared images to evoke different emotions. Their subjective emotions and autonomic nervous responses such as ECG (electrocardiogram), PPG (photoplethysmogram), GSR (Galvanic skin response), RSP (respiration), and SKT(skin temperature) were measured during experiment. And these responses were analyzed into HR(Heart Rate), Respiration Rate, GSR amplitude average, SKT amplitude average, PPG amplitude, and PTT(Pulse Transition Time). TDPs(Time dependent parameters) defined as the delay, the activation, the half recovery and the full recovery of respective physiological signal in this study have been determined and statistically compared between variations from different emotions. The significant tendencies in TDP were shown between emotions. Therefore, TDP may provide useful measurements with emotion recognition.

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Research on Classification of 2 dimension Emotion by Pattern analysis of Autonomic response (자율신경계 반응 패턴 분석을 통한 2차원 감성 분류에 대한 연구)

  • 황민철;임평규;김혜진;김세영
    • Proceedings of the Korean Society for Emotion and Sensibility Conference
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    • 2002.11a
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    • pp.279-282
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    • 2002
  • 자율신경계 반응은 인간의 각성을 측정하는 변수가 될 수 있다(황민철 외, 2001). 본 연구에서는 자율신경계 반응만으로 인간의 2차원 감성 분류를 할 수 있는지를 살펴보았다. 5명의 피험자에게 대중가요나 효과음 등과 같은 다양한 청각자극을 제시하여 감성을 유발한 후, 자율신경계의 반응을 3가지 생리신호(GSR, SKT, PPG)를 통해 측정하여 반응 패턴을 분석하였다. 결과적으로, 자율신경계 반응 패턴은 각성/이완뿐만 아니라 쾌/불쾌간 감성 구분의 가능성을 확인할 수 있었다.

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