Digital Twin Modeling and Simulation Analysis of Psychological and Emotional States Based on Multimodal Physiological Signals
Min LiAbstract
Objective
Intense social and work pressure easily triggers abnormal psychological and emotional states, endangering mental health and leading to psychological stress accumulation. This study aims to construct a "digital twin" model of psychological and emotional states based on multimodal physiological signals, realize accurate modeling and simulation of human mental state and psychological pressure, and provide technical support for mental health assessment and psychological stress intervention.
Subjects and Methods
Taking 90 subjects with different psychological pressure levels as research objects, multimodal physiological signals (EEG, heart rate, skin conductance) were collected. Combined with machine learning and digital twin technology, the correlation between physiological signal features and psychological emotional states, mental health status was analyzed to build and optimize the simulation model.
Results
The constructed model can accurately extract physiological signal features, realize real-time simulation and dynamic prediction of psychological emotional states, and effectively identify mild psychological stress, anxiety and other abnormal mental states, with high matching degree with actual mental health assessment results.
Conclusions
The "digital twin" model based on multimodal physiological signals can accurately characterize psychological and emotional states, reflect the dynamic changes of psychological pressure and mental health status in real time. It provides a new technical approach for objective evaluation of mental state, early intervention of psychological pressure and scientific protection of mental health.
Acknowledgement
This research was supported by the Part of the content of this paper is the phased achievement of the electronic information technology and application course group of the school-level excellent grassroots teaching organization of Science and Technology college of Hubei University of Arts and Science “Design of Image Acquisition and Transmission System Based on FPGA” (2025XJYBKT007).
Corresponding Author
Min Li, Science and Technology College, Hubei University of Arts and Science, Xiangyang 441000, China.