SS02: Psychological State Analysis Based on Multimedia Information Processing
Motivation & significance
• Bring together scholars and practitioners to discuss the latest progress, challenges, and applications of multimedia information processing in psychological state analysis.
• Focus on the latest technologies in areas such as mental health state assessment, disease screening, and psychological analysis of human behavior in human-computer interaction by employing novel artificial intelligence technologies or new signal processing algorithms.
Topics of interest
•Multimodal Data Fusion Techniques for Psychological State Analysis
•Audio-video Processing based Emotion Detection Technology
•Machine Learning Models for Mental Disease Screening or Mental Health Status Assessment
•Application of Real-time Multimedia Systems in Psychological State Monitoring
•Human Activity Recognition Towards Physical and Mental Status Monitoring
•Interdisciplinary Applications of Multimedia Information in Psychological Research and Treatment
•Sentiment Analysis of Human-computer Dialogue based on Large Language Model
•Automatic Screening of Mental Health Text Data Using Large-scale Language Models
•Cross-modal Fusion Method of Audio and Video Data in Emotion Detection
•Psychiatric Diagnosis System Combining Large-scale Language Models and Medical Knowledge Graphs
•Application of Large-Scale Multimodal Models in Wearable Devices
•Correlation Analysis between Human Activity Data and Psychological State Combining Virtual Reality and Large-scale Multimodal Models in Psychotherapy
Organizers
Xiao Sun, Professor, Hefei University of Technology, China, email: sunx@hfut.edu.cn
Jinyang Huang, Lecturer, Hefei University of Technology, China, email: hjy@hfut.edu.cn
Zhi Liu, Associate Professor, University of Electro-Communications, Japan, email: liu@ieee.org