双人协作状态实时神经监测方法、装置、设备及介质
By collecting neural data from both hemispheres, calculating neural indices for bi-brain collaboration, constructing a network weight matrix and a prediction model, and determining target features, real-time monitoring of the collaborative state of two individuals was achieved, improving the prediction efficiency and security of the collaborative state.
Patent Information
- Authority / Receiving Office
- CN · China
- Patent Type
- Patents(China)
- Current Assignee / Owner
- SHENZHEN UNIV
- Filing Date
- 2023-11-20
- Publication Date
- 2026-07-17
AI Technical Summary
Existing technologies lack effective methods for real-time monitoring of two-person collaboration, making it impossible to monitor the collaboration among multiple people in real time and provide timely warnings, which affects production efficiency and safety.
By collecting sample brain neural data, calculating brain-brain synergistic neural indices, constructing a brain-brain network weight matrix, converting it into feature vectors, building a target neural prediction model, calculating confidence intervals to determine target features, and acquiring real-time brain neural data to be monitored for prediction.
It enables real-time monitoring of the collaborative status of two people, improves the efficiency of predicting the collaborative status, and ensures production safety and efficiency.
Smart Images
Figure CN117592601B_ABST