Department of Forensic Medicine, School of Basic Medical Sciences, Fudan University, Shanghai 200032, China.
Shanghai Key Laboratory of Forensic Medicine, Key Laboratory of Forensic Science, Ministry of Justice, Shanghai Forensic Service Platform, Academy of Forensic Science, Shanghai 200063, China.
Fa Yi Xue Za Zhi. 2024 Jun 25;40(3):261-268. doi: 10.12116/j.issn.1004-5619.2023.131101.
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.
Thirty-nine male individuals with mental disorders in supervised settings were selected, the participant risk of violence, cognitive function, psychiatric symptoms and severity 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 emotional facial expressions and the scores of the assessment scales.
The intensity difference of sadness, surprise and fear in different time periods was statistically significant (<0.05). The intensity of the left medial eyebrow lift action unit was found significantly different before and after the emotional arousal (<0.05). The intensity of anger was positively correlated with the Modified Overt Aggression Scale score throughout the experiment (<0.05).
Eye action units such as eyebrow 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.
探讨精神障碍个体暴力行为与情绪的关系，评估面部表情分析技术在监督环境下精神障碍个体暴力风险评估中的应用价值，为暴力风险评估提供参考。
选取 39 名监督环境下的男性精神障碍个体，采用改良外显攻击量表（MOAS）、历史、临床、风险管理-中文版（HCR-CV）、阳性和阴性症状量表（PANSS）和简明精神病评定量表（BPRS）评估参与者的暴力风险、认知功能、精神症状和严重程度。对参与者进行情绪唤起，记录情绪唤起前后的情绪强度和面部表情动作单元。采用单因素方差分析（ANOVA）比较情绪唤起前后情绪强度和面部表情动作单元的差异。采用 Pearson 相关分析计算七种基本情绪面部表情的强度与评估量表评分之间的相关性。
不同时间段悲伤、惊讶和恐惧的情绪强度差异有统计学意义（<0.05）。情绪唤起前后左侧内眉提升动作单元的强度差异有统计学意义（<0.05）。愤怒的强度与改良外显攻击量表评分在整个实验过程中均呈正相关（<0.05）。
挑眉、闭眼和上眼睑提起等眼部动作单元可作为识别与暴力行为相关的悲伤、愤怒等负面情绪的有效动作单元。面部表情分析技术可作为评估监督环境下精神障碍个体潜在暴力风险的辅助工具。
