1 Full Chinese Name, Full English Name and English Abbreviation of the Technical Committee

Full Chinese Name: 中国图象图形学学会人机交互专委会

Full English Name: Technical Committee on Human-Computer Interaction

English Abbreviation: TCHCI

2 Brief Introduction to the Technical Committee

The goal of the Technical Committee on Human-Computer Interaction of the China Society for Image and Graphics (CSIG) is to promote the development of the human-computer interaction discipline and technology in the direction of intelligence and humanization, explore new theories and methods of human-computer interaction technology in the era of artificial intelligence, and investigate new human-computer interaction algorithms and design models based on new wearable technology, big data, artificial intelligence and affective computing. The specific contents include: human-computer interaction and wearable technology, human-computer interaction and big data, human-computer interaction and affective computing, human-computer interaction and artificial intelligence.

3 Information of the Person in Charge of the Technical Committee

Director: 

Tian Feng, Institute of Software, Chinese Academy of Sciences

Deputy Directors: 

Wang Dangxiao, Beihang University

Xu Mingliang, Zhengzhou University

Weng Dongdong, Beijing Institute of Technology

Cao Nan, Tongji University

Secretary-General: 

Wen Zhengqi, Tsinghua University

4 Contact Person and Contact Information of the Technical Committee

Contact Person: Wen Zhengqi

Contact Email: zqwen@tsinghua.edu.cn

5 Representative Achievement

Key Technologies and System for Multi-modal High-Robustness Subtle Emotion Analysis

Core Researchers: Tao Jianhua, Fu Xiaolan, Liu Bin, Lei Zhen, Lian Zheng, Fan Yin

Award: Won the First-Class Technical Invention Award of the China Electronics Society Science and Technology Award in 2021

Emotion analysis has important applications in fields such as healthcare and social security. This project has carried out in-depth and continuous research on multi-modal high-robustness subtle emotion analysis technology, achieving important breakthroughs in key challenges such as subtle emotion representation, robust emotion recognition and emotion understanding. It has solved the key problems of subtle emotion quantification and high-precision modeling, making the model's way of describing emotions closer to human natural emotional states. A multi-modal fusion-based high-robustness subtle emotion recognition method has been realized, addressing the key issue of low recognition accuracy in emotion analysis applications due to environmental interference and human non-cooperation. A new model of emotion understanding integrating semantics and domain knowledge has been established, solving the difficulty of accurately understanding the meaning of subtle abnormal or suppressed emotional changes. Finally, a multi-modal high-robustness subtle emotion analysis system has been formed, which has been applied on a large scale in fields such as medical care, finance, media, security and interaction, achieving significant social and economic benefits.