Application of Facial Expression Analysis Technology in Violence Risk Assessment of Individuals with Mental Disorders in Supervised Settings

Autor: LING Xin-di, LI Hao-zhe, WANG Shu-jian, LI Wen, CAI Wei-xiong
Jazyk: čínština
Rok vydání: 2024
Předmět:
Zdroj: Fayixue Zazhi, Vol 40, Iss 3, Pp 261-268 (2024)
Druh dokumentu: article
ISSN: 1004-5619
DOI: 10.12116/j.issn.1004-5619.2023.131101
Popis: ObjectiveTo 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.MethodsThirty-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.ResultsThe intensity difference of sadness, surprise and fear in different time periods was statistically significant (P
Databáze: Directory of Open Access Journals