Research Progress and Application Prospect of Facial Micro-Expression Analysis in Forensic Psychiatry
Wen Li1, Hao-Zhe Li1, Chen Chen1
1Shanghai Key Laboratory of Forensic Medicine, Key Laboratory of Forensic Science, Ministry of Justice, Shanghai Forensic Service Platform, Academy of Forensic Science, Shanghai 200063, China.
Facial micro-expression analysis, crucial for understanding true emotions, is advancing with artificial intelligence. This technology aids mental disorder diagnosis and monitoring, with growing applications in forensic psychiatry.
Area of Science:
- Psychology and Computer Science
- Focuses on the intersection of human emotion recognition and artificial intelligence.
Background:
- Micro-expressions reveal genuine emotions, offering significant value in mental health diagnostics and monitoring.
- Decades of research underpin the importance of micro-expression analysis.
Approach:
- Reviews the historical development of facial micro-expression analysis techniques.
- Examines the integration of artificial intelligence and big data for automated micro-expression recognition.
Key Points:
- Automated micro-expression recognition is becoming feasible due to AI and big data advancements.
- Micro-expression analysis has critical applications in auxiliary diagnosis and disease monitoring for mental disorders.
- The review explores applications within forensic psychiatry.
Conclusions:
- Facial micro-expression analysis is evolving towards more convenient and widespread use.
- Future prospects and development directions for micro-expression analysis are discussed, particularly in forensic contexts.
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