Multimodal health emotional fatigue monitoring method
By using multimodal data fusion and risk assessment algorithms, the problem of inaccurate assessment results in fatigue driving monitoring has been solved, enabling accurate assessment and flexible early warning of driver status, thus ensuring driving safety.
Patent Information
- Authority / Receiving Office
- CN · China
- Patent Type
- Applications(China)
- Current Assignee / Owner
- MCAS (HEBEI) DATA TECH CO LTD
- Filing Date
- 2026-04-20
- Publication Date
- 2026-07-17
AI Technical Summary
Existing technologies have failed to effectively integrate multimodal information in fatigue driving monitoring, resulting in insufficient accuracy and stability of assessment results, and a lack of scientific risk assessment support.
A multimodal health, emotion, and fatigue monitoring method is adopted. By collecting various data such as physiological health, facial expressions, and driving behavior, multi-feature fusion algorithms and risk assessment algorithms are used to generate multi-dimensional state features and risk indices. Appropriate early warning responses are then given in combination with a hierarchical early warning rule base.
It enables precise assessment of drivers' health, mood, and fatigue status, improves the accuracy and stability of risk assessment, ensures driving safety, and can trigger appropriate graded early warning measures in real time.
Smart Images
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