Prediction of Impulsive Aggression Based on Video Images.

ABSTRACT: In response to the subjectivity, low accuracy, and high concealment of existing attack behavior prediction methods, a video-based impulsive aggression prediction method that integrates physiological parameters and facial expression information is proposed. This method uses imaging equipment to capture video and facial expression information containing the subject's face and uses imaging photoplethysmography (IPPG) technology to obtain the subject's heart rate variability parameters. Meanwhile, the ResNet-34 expression recognition model was constructed to obtain the subject's facial expression information. Based on the random forest classification model, the physiological parameters and facial expression information obtained are used to predict individual impulsive aggression. Finally, an i

SUBMITTER: Zhang B 

PROVIDER: S-EPMC10451168 | biostudies-literature | 2023 Aug

REPOSITORIES: biostudies-literature