Application of Facial Expression Analysis Technology in Violence Risk Assessment of Individuals with Mental Disorders in Supervised Settings
10.12116/j.issn.1004-5619.2023.131101
- VernacularTitle:表情分析技术在监管场所精神障碍者暴力风险评估中的应用
- Author:
Xin-Di LING
1
;
Hao-Zhe LI
;
Shu-Jian WANG
;
Wen LI
;
Wei-Xiong CAI
Author Information
1. 复旦大学基础医学院,上海 200032;司法鉴定科学研究院 上海市法医学重点实验室 司法部司法鉴定重点实验室 上海市司法鉴定专业技术服务平台,上海 200063
- Keywords:
forensic psychiatry;
mental disorder;
emotions;
facial expression;
violence risk assessment;
supervised setting
- From:
Journal of Forensic Medicine
2024;40(3):261-268
- CountryChina
- Language:Chinese
-
Abstract:
Objective To explore the association between violent behaviors and emotions in individuals with mental disorders,to evaluate the application value of facial expression analysis technology in violence risk assessment of individuals with mental disorders in supervised settings,and to provide a reference for violence risk assessment.Methods Thirty-nine male individuals with mental disorders in supervised settings were selected,the participant risk of violence,cognitive function,psychiatric symptoms and se-verity were assessed using the Modified Overt Aggression Scale (MOAS),the Historical,Clinical,Risk Management-Chinese version(HCR-CV),the Positive and Negative Syndrome Scale (PANSS) and the Brief Psychiatric Rating Scale (BPRS).An emotional arousal was performed on the participants and the intensity of their emotions and facial expression action units was recorded before,during and after the arousal.One-way analysis of variance (ANOVA) was used to compare the differences in the intensity of emotions and facial expression action units before,during and after the arousal.Pearson correlation analysis was used to calculate the correlations between the intensity of the seven basic emo-tional facial expressions and the scores of the assessment scales.Results The intensity difference of sadness,surprise and fear in different time periods was statistically significant (P<0.05).The intensity of the left medial eyebrow lift action unit was found significantly different before and after the emo-tional arousal (P<0.05).The intensity of anger was positively correlated with the Modified Overt Ag-gression Scale score throughout the experiment (P<0.05).Conclusion Eye action units such as eye-brow lifting,eyelid tightening and upper eyelid lifting can be used as effective action units to identify sadness,anger and other negative emotions associated with violent behaviors.Facial expression analysis technology can be used as an auxiliary tool to assess the potential risk of violence in individuals with mental disorders in supervised settings.
