• Journal of Institute of Control, Robotics and Systems
• /
• v.19 no.6
• /
• pp.513-519
• /
• 2013

The current vision-based approaches for emotion recognition, such as facial expression analysis, have many technical limitations in real circumstances, and are not suitable for applications that use them solely in practical environments. In this paper, we propose an approach for emotion recognition by combining extrinsic representations and intrinsic activities among the natural responses of humans which are given specific imuli for inducing emotional states. The intrinsic activities can be used to compensate the uncertainty of extrinsic representations of emotional states. This combination is done by using PRMs (Probabilistic Relational Models) which are extent version of bayesian networks and are learned by greedy-search algorithms and expectation-maximization algorithms. Previous research of facial expression-related extrinsic emotion features and physiological signal-based intrinsic emotion features are combined into the attributes of the PRMs in the emotion recognition domain. The maximum likelihood estimation with the given dependency structure and estimated parameter set is used to classify the label of the target emotional states.

• Journal of the Korean Institute of Intelligent Systems
• /
• v.19 no.6
• /
• pp.755-759
• /
• 2009

The ability to recognize human emotion is one of the hallmarks of human-robot interaction. Especially, speaker-independent emotion recognition is a challenging issue for commercial use of speech emotion recognition systems. In general, speaker-independent systems show a lower accuracy rate compared with speaker-dependent systems, as emotional feature values depend on the speaker and his/her gender. Hence, this paper describes the realization of speaker-independent emotion recognition by rejection using confidence measure to make the emotion recognition system be homogeneous and accurate. From comparison of the proposed methods with conventional method, the improvement and effectiveness of proposed methods were clearly confirmed.

• Proceedings of the Korean Society for Emotion and Sensibility Conference
• /
• 2004.11a
• /
• pp.28-28
• /
• 2004

• The Research Journal of the Costume Culture
• /
• v.15 no.5
• /
• pp.796-809
• /
• 2007

The viewpoint of growth pursuit is changed to that of life quality's and happiness' pursuit by modern people. Modern people in digital environment, tired of fast-changing and oppressive daily life, prefer well-being trend providing tranquility and relaxation. Well-being is related to digital, because negative influences of digital lead human-oriented, environment-friendly well-being design. Therefore the purpose of this study is to research and analyze the relation of well-being fashion design and digital environment through case study in contemporary well-being fashion design. The results of this study are as follows: 1. This study shows that the attributes of digital environment make up function-intensive, interactivity, mobility & nomad, human & emotion-oriented and environment-friendly. And this study shows the design characteristics of digital environment consist of function-intensive design by digital convergence, open structure design for interactivity, modular design for mobility & nomad, emotion-oriented & multi-sensory design and environment- friendly design. 2. Function-intensive design in modem well-being fashion composed of vogue of caports style(casual+sports), practical use of multi-functional new-healthy textiles, and popularity of many style's mixture at once. Open structure design consist of wrapover design, use of transparent materials. Modular design are layered styling, practical use of zipper and velcro. Emotion-oriented & multi-sensory design are constitute of fad of wrinkle materials, application of bright & vivid tone, personal color and family look. Environment-friendly design in contemporary well-being fashion are comprised in use of natural color, re-advent of natural floral motif and eco-design.

• Journal of the Korean Institute of Intelligent Systems
• /
• v.17 no.3
• /
• pp.322-327
• /
• 2007

Researchers in the field of psychology used Electroencephalographic (EEG) to record activities of human brain lot many years. As technology develope, neural basis of functional areas of emotion processing is revealed gradually. So we measure fundamental areas of human brain that controls emotion of human by using EEG. Hands gestures such as shaking and head gesture such as nodding are often used as human body languages for communication with each other, and their recognition is important that it is a useful communication medium between human and computers. Research methods about gesture recognition are used of computer vision. Many researchers study emotion recognition method which uses one of physiological signals and gestures in the existing research. In this paper, we use together physiological signals and gestures for emotion recognition of human. And we select the driver emotion as a specific target. The experimental result shows that using of both physiological signals and gestures gets high recognition rates better than using physiological signals or gestures. Both physiological signals and gestures use Interactive Feature Selection(IFS) for the feature selection whose method is based on a reinforcement learning.

• Journal of Digital Convergence
• /
• v.12 no.11
• /
• pp.89-98
• /
• 2014

This study was accomplished to examine the relationship between the videogame player's perceived congruity and intention to game use, and to investigate the mediating effect of emotion as the psychological factor. Games for the research subject are confined to single player games on console or PC not online or mobile games to rule out human interaction. The results proposed that self and functional congruity have positive impact on intention to game use, and emotion is in the mediating effect of these relationships. Based on the results of the analysis, game producers have some implications for the game which is appropriate for the quality, the gamer's image, and the emotional aspect.

• The Transactions of the Korea Information Processing Society
• /
• v.13 no.4
• /
• pp.174-180
• /
• 2024

In this paper, we explore an emotion classification method through multimodal learning utilizing wav2vec 2.0 and KcELECTRA models. It is known that multimodal learning, which leverages both speech and text data, can significantly enhance emotion classification performance compared to methods that solely rely on speech data. Our study conducts a comparative analysis of BERT and its derivative models, known for their superior performance in the field of natural language processing, to select the optimal model for effective feature extraction from text data for use as the text processing model. The results confirm that the KcELECTRA model exhibits outstanding performance in emotion classification tasks. Furthermore, experiments using datasets made available by AI-Hub demonstrate that the inclusion of text data enables achieving superior performance with less data than when using speech data alone. The experiments show that the use of the KcELECTRA model achieved the highest accuracy of 96.57%. This indicates that multimodal learning can offer meaningful performance improvements in complex natural language processing tasks such as emotion classification.

• KIPS Transactions on Software and Data Engineering
• /
• v.4 no.4
• /
• pp.195-200
• /
• 2015

Recently, most people use android based smartphones and we can find music players in any smartphones. However, it's hard to find a personalized music player which applies user's preference. In this paper, we propose an emotion-based music player, which analyses and classifies the music with user's emotion, recommends the music, applies the user's preference, and visualizes the music by color. Through the proposed music player, user could be able to select musics easily and use an optimized application.

• 한국HCI학회:학술대회논문집
• /
• 2008.02a
• /
• pp.152-157
• /
• 2008

The human uses the optic plentifully that an emotion the human knowledge. by the light it perceives the object and we live middle of color together. The color is close relation in our life. against a color from in many the optic information it is sensitive and it accepts. Therefore if expresses a emotion with color, human knowledge there is a probably of accepting intuition. The purpose of this dissertation to The emotion expression which uses a hue and the hue which leads the relationship research of emotion. In emotional circle of Plutchik, It selects the emotion where becomes the basic and the hue which similar has an impression and feature from the Harris of Moses Harris it searches emotion to use a hue circle with the method which it makes the emotion it expresses. Examines satisfaction of hue and emotion for emotion expression. The magnetic pole of emotion continuously comes in, There must be it will be able to confirm change of many emotion as a real-time. The shooting game the magnetic pole of multi emotion continuously comes in, Because it will be able to confirm the change of emotion as a real-time, suitable the applies for the research of emotion expression Consequently, The application it tried with character hue of shooting game.

• Journal of Families and Better Life
• /
• v.27 no.1
• /
• pp.221-234
• /
• 2009

This study focused on the relationship between ego- resilience and stress coping styles of male and female adolescents. The study also tried to identify differences in stress coping styles based on sexual differences and the level of ego- resilience in adolescents. Ego-resilience showed a positive correlation to problem-focused and social support seeking coping styles and a negative correlation to emotion-focused coping style for both male and female adolescents. Canonical Correlation analysis revealed that self-confidence among four sub-domains of ego-resilience made the most outstanding contributions in predicting stress coping styles of female adolescents. The self-confident female adolescents tended to use the problem-focused coping style. For male adolescents, the optimistic attitude among four sub-domains of ego-resilience was the most significant factor in predicting emotion-focused coping style. Female adolescents tended to use more varied coping strategies than male adolescents in stressful situations. The group of adolescents who had a higher level of ego-resilience reported more problem-focused and social support- seeking coping styles in stressful situations. Conversely the group of adolescents with lower level of ego-resilience tended to use emotion-focused coping strategy. The results of this study have important implications for theory, research, and practice. Development of ego-resilience in adolescents based on sexual differences was an important task for their effective coping strategies.