• Proceedings of the Korean Institute of Intelligent Systems Conference
• /
• 2002.12a
• /
• pp.497-501
• /
• 2002

개인의 경험을 통해 얻어지는 외부의 물리적 자극에 대한 복합적인 감성을 측정.분석하여 공학적으로 처리함으로서 인간이 보다 편리하고 안락한 생활을 영위하도록 하는 연구가 진행되고 있다. 본 논문에서는 인간의 오감 즉 시각, 청각, 후각, 미각, 촉각 중 소비자의 구매 욕구에 많은 영향을 주는 시각(색)에 따른 감성상태의 패턴을 분류하기 위해 색채 심리를 다치오토마타 모델을 이용하여 입력 이벤트와 상태 사이의 관계를 활용하여 감성을 처리할 수 있는 방법을 제안한다. 인간의 심리 상태를 학습할 수 있도록 오토마타의 입력 값(색)에 따른 상태(감성상태)의 변화를 신경망 모델로 구현함으로서 색채에 대한 감성을 처리하였다.

• Proceedings of the Korean Society for Emotion and Sensibility Conference
• /
• 1999.11a
• /
• pp.173-178
• /
• 1999

본 연구의 제 2보에서는 꽃문양 스카프 디자인의 레이아웃 변인에 따른 소비자 감성을 분석하였던 제 1보의 내용을 검증하고, 이러한 결과를 토대로 하여 꽃문양 스카프 디자인을 위한 지침과 디자인 프로토타입을 제시하였다. 본 연구에서는 꽃문양 스카프 디자인에 있어 레이아웃 기법 전개에 관련된 감성 지표를 얻음으로써 사변적 또는 미학적 접근이 주류를 이루었던 기존의 스카프 디자인 연구 분야에 새로운 감성과학적 접근방법을 모색하였다.

• Science of Emotion and Sensibility
• /
• v.16 no.2
• /
• pp.149-156
• /
• 2013

In this study, the Model of Emotion Evaluation, an emotional analysis actively applied in environmental assessment, was divided into two parts, the abbreviated model and the inferential model, through pilot study and experiment. In addition, an analysis was conducted through the experiment on the attributes of the evaluation vocabularies of two additional types of representative models, the EPA Model and PAD Model, and the results show a huge difference in the development approach and lexical constitution of the two models. It was also identified through factor analysis that the vocabularies were abbreviated according to the respective models. Similarity relationships were analyzed using multidimensional scaling and the results show that mutual relationship was established to some degree. Based on this, we can conclude that, rather than a biased use of the Model of Emotion Evaluation in emotion evaluation, a more objective image analysis is possible by analyzing the characteristics of the model before applying it. In this study, the evaluation target was confined only to the environmental assessment of streetscape and continuous research on the Model of Emotion Evaluation that allows for the comparison of evaluation models in various areas is needed.

• Proceedings of the Korean Society for Emotion and Sensibility Conference
• /
• 2009.11a
• /
• pp.54-57
• /
• 2009

This study was aimed to investigate the effects of visual texture on color emotion and to establish prediction models for color emotion by both physical color properties and visual texture characteristics. A variety of fabrics were printed by digital printer according to hue and tone combinations. Subjective sensation was evaluated in terms of visual texture for fabrics printed in gray whereas color emotion for those in chromatically printed. As results, fabric clusters by visual texture showed significant differences in color emotion factors and the differences were clearer for grayish tone fabrics. Prediction models for color emotion factors by both physical color properties and visual texture clusters were proposed as for all fabrics and grayish ones, respectively.

• Science of Emotion and Sensibility
• /
• v.21 no.3
• /
• pp.73-82
• /
• 2018

Attempts have been made to recognize social emotion, including competition-cooperation, while designing interaction in work places. This study aimed to determine the cardiac response associated with classifying competition-cooperation of social emotion. Sixty students from Sangmyung University participated in the study and were asked to play a pattern game to experience the social emotion associated with competition and cooperation. Electrocardiograms were measured during the task and were analyzed to obtain time domain indicators, such as RRI, SDNN, and pNN50, and frequency domain indicators, such as VLF, LF, HF, VLF/HF, LF/HF, lnVLF, lnLF, lnHF, and lnVLF/lnHF. The significance of classifying social emotions was assessed using an independent t-test. The rule-base for the classification was determined using significant parameters of 30 participants and verified from data obtained from another 30 participants. As a result, 91.67% participants were correctly classified. This study proposes a new method of classifying social emotions of competition and cooperation and provides objective data for designing social interaction.

• The Journal of the Korea Contents Association
• /
• v.14 no.11
• /
• pp.1-6
• /
• 2014

Emotion recognition is defined as that machines automatically recognize human emotions. Because the human emotions is very subjective, it is impossible to measure objectively. Therefore, the goal of emotion recognition is to obtain a measure that is agreed by as many people as possible. Emotion recognition in a image is implemented as the method that matches human emotions to the various features of the image. In the paper, we propose an emotion recognition system using color features of clothing image based on the Kobayashi's image scale. The proposed system stores colors of image scale into a database. And extracted major colors from a input clothing image are compared with those in the database. The proposed system can obtain three emotions maximally. In order to evaluate the system performance 70 observers are tested. The test results shows that recognized emotions of the proposed system are very similar to the observers emotions.

• Proceedings of the Korean Society for Emotion and Sensibility Conference
• /
• 1999.11a
• /
• pp.67-71
• /
• 1999

본 연구는 감성의 객관적 분류기술을 기반으로 인간의 감성을 이해하고 감성의 변화에 능동적으로 반응하는 사용자 중심의 감성컴퓨터를 개발하기 위한 목적으로 진행되었으며, 컴퓨터 사용자를 대상으로 컴퓨터 사용 시에 자주 경험하는 감성상태를 나타내는 어휘와 감성유발상황을 브레인 스토밍과 설문을 통하여 조사하고 분석 및 분류하였다. 컴퓨터 사용자가 컴퓨터를 사용할 때 느끼는 감성상태를 표현하는 어휘는 쾌.불쾌 및 각성.이완의 2 차원적으로 분류하였으며, 컴퓨터 작업환경에서 감성상태를 유발하는 상황도 결과적으로 2 차원적으로 분류되었다. 이는 2 차원적 감성분류알고리즘의 개발과, 특히 부정적 감성을 경감시킬 수 있는 사용자 인터페이스 개발을 위한 기초연구에 활용될 수 있다.

• KIPS Transactions on Software and Data Engineering
• /
• v.7 no.6
• /
• pp.239-248
• /
• 2018

Many new technologies are studied with the arrival of the 4th industrial revolution. In particular, emotional intelligence is one of the popular issues. Researchers are focused on emotional analysis studies for music services, based on artificial intelligence and pattern recognition. However, they do not consider how we recommend proper music according to the specific emotion of the user. This is the practical issue for music-related IoT applications. Thus, in this paper, we propose an probability-based music emotion classification technique that makes it possible to classify music with high precision based on the range of emotion, when developing music related services. For user emotion recognition, one of the popular emotional model, Russell model, is referenced. For the features of music, the average amplitude, peak-average, the number of wavelength, average wavelength, and beats per minute were extracted. Multiple regressions were derived using regression analysis based on the collected data, and probability-based emotion classification was carried out. In our 2 different experiments, the emotion matching rate shows 70.94% and 86.21% by the proposed technique, and 66.83% and 76.85% by the survey participants. From the experiment, the proposed technique generates improved results for music classification.

• Proceedings of the Korean Society for Emotion and Sensibility Conference
• /
• 2009.05a
• /
• pp.73-74
• /
• 2009

본 연구에서는 선행연구를 통해 추출한 사용자가 제품을 사용하는 도중에 유발될 수 있는 인간의 감성 변화를 나타낼 수 있는 감성어휘 88 개 중에서 웹(Web)을 사용하는 상황에서 유발될 수 있는 사용자의 감성을 표현하기에 적합한 감성어휘를 추출하였다. 웹 사용빈도가 높은 남녀 대학생을 대상으로 설문조사를 실시하여 최종적으로 웹을 사용하는 도중에 유발될 수 있는 사용자의 감성을 파악하기 위한 감성어휘를 추출하였다. 본 연구를 통해 추출된 감성어휘는 웹을 사용하면서 표출되는 사용자의 감성을 측정하는 데에 필요한 평가자료로 활용할 수 있을 것이다.

• Proceedings of the Korean Society for Emotion and Sensibility Conference
• /
• 2011.05a
• /
• pp.19-20
• /
• 2011