• Science of Emotion and Sensibility
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• v.18 no.1
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• pp.67-78
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• 2015

This study investigated whether people experience a correspondence between color hue-tone and the main characters' emotions in the 2012 British musical drama film, Les $Mis\grave{e}rables$ through three practical experiments. Six screen images, which represent the characters' different emotions (Parrot's six primary types including love, joy, surprise, anger, sadness, and fear) were selected. For each screen image, participants were asked to judge the degree of the character's dominant emotions evoked from 17 varied screen images, which consisted of original chromatic and achromatized images as well as 15 color-filtered images (5 hues X 3 tones of the IRI color system). These tasks revealed that a chromatic color scheme is more effective to deliver the characters' positive emotions (i.e. love and joy) than an achromatic one. In addition, they proved that the hue and tone dimensions partially influence the relationships between the character emotions and colors.

• Journal of the Korean Institute of Intelligent Systems
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• v.12 no.2
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• pp.97-102
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• 2002

In this paper, we propose the technique for recognizing the human s emotion by using the CCD color image. To do this, we first get the face image by using skin-color from the original color image acquired by the CCD camera. And we propose the method for finding man s feature points(eyebrows, eye, nose, mouse) from the face image and the geometrical method for recognizing human s emotion (surprise, anger, happiness, sadness) from the structural correlation of man s feature feints. The proposed method in this paper recognize the human s emotion by learning the neural network. Finally, we have proven the effectiveness of the Proposed method through the experimentation.

• Science of Emotion and Sensibility
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• v.6 no.2
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• pp.1-7
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• 2003

The objectives of this study is to develop an adaptable digital wall model whose color can be changed dynamically according to the identified emotional state of a user. This study addresses how to capture a specific user's emotion through the web and use it for modifying VR model mainly for color adaptation. This adaptation process of a VR model consists of three phases: 1) identification of the user's emotional state projected onto the list of emotional keywords 2) translation of those captured emotional keywords into a pertinent set of color coordinations, and finally, 3) automated color adaptation process for the given model. This process derives an on-line viewer's emotional state, which can be utilized to find a new color scheme reflecting the identified emotion.

• Journal of the Korea Computer Graphics Society
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• v.24 no.4
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• pp.1-9
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• 2018

We propose an emotional training framework that can determine the initial symptom of schizophrenia by using emotional analysis method through facial expression change. We use Emotion API in Microsoft to obtain facial expressions and emotion values at the present time. We analyzed these values and recognized subtle facial expressions that change with time. The emotion states were classified according to the peak analysis-based variance method in order to measure the emotions appearing in facial expressions according to time. The proposed method analyzes the lack of emotional recognition and expressive ability by using characteristics that are different from the emotional state changes classified according to the six basic emotions proposed by Ekman. As a result, the analyzed values are integrated into the image color transfer framework so that users can easily recognize and train their own emotional changes.

• Proceedings of the Korean Society for Emotion and Sensibility Conference
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• 1999.11a
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• pp.318-323
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• 1999

Personal color의 특징은 소비자의 특성이 비중 있게 고려되어야 하고, 섬세하고 sensitive한 반응과 평가가 즉각적으로 feedback 된다는 특징이 있다. 한국인의 색채감성을 반영한 personal color의 기획을 효율적으로 하도록 하고, 또한 한 차원 높은 감성적인 체계분석을 바탕으로 한 보다 과학적이고 합리적인 접근을 시도하기 위한 연구로 PCD system을 개발하고 있다. 이 과정 중에서 화장을 위한 소비자의 특성과 감성 분석기술, 그리고 PCD개발을 위한 색채재현 등의 주변 기술을 소개한다.

• Proceedings of the Korean Society for Emotion and Sensibility Conference
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• 2011.11a
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• pp.70-71
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• 2011

• Proceedings of the Korean Society for Emotion and Sensibility Conference
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• 2012.05a
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• pp.19-20
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• 2012

• Proceedings of the Korean Society for Emotion and Sensibility Conference
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• 2011.11a
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• pp.86-87
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• 2011

• 제어로봇시스템학회:학술대회논문집
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• 1997.10a
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• pp.1628-1630
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• 1997

The purpose of this study is to see the method of the analysis of EEG(Electroencephalography) whcih is a nonlinear system, to quantize human emotion under color stimulation using the analysis of EEG. The result of this study would be used clinical study and development fo image instruments with color. In this study, the method of the analysis of EEG is power spectrum using FFT(Fast Fourier Transform) and the modelling of EEG under color stimulation base on back propagation Neural Networks ond of AI(Artfical Intellignece) skills. First, input layer make a match to relative power which get analyzing s in 4 channels, and output layer make a match to color stimulation which is measured human emotion. Finally, weights of each neurons determine by learing back porpagation Neural Networks.

• 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.