State perception and adaptation method and system based on multi-source heterogeneous data fusion
By collecting and analyzing the baseline heart rate and status characteristics of the subjects, the system can determine and execute recovery mode training when necessary, ensuring that the subjects are in good condition. This solves the problems of misjudgment of adaptation and mismatch of training load caused by ignoring real-time status in existing technologies, and improves the efficiency and reliability of rehabilitation training systems.
Patent Information
- Application Number
- CN202611044823.3
- Authority / Receiving Office
- CN · China
- Patent Type
- Applications(China)
- Current Assignee / Owner
- Filing Date
- 2026-07-14
- Publication Date
- 2026-09-29
AI Technical Summary
Existing technologies in ability assessment and rehabilitation training systems neglect real-time changes in the subject's status during the assessment process, leading to misjudgment of the appropriate program or mismatch of training load, which reduces the overall intervention efficiency and subject compliance.
By collecting baseline heart rate, state characteristics, and initial cognitive characteristics, a state perception result is generated. It is then determined whether the initial cognitive characteristics meet the adaptation input conditions. If not, recovery mode training is performed. After training, data is re-collected to generate updated cognitive characteristics and comprehensive recovery confidence, ensuring that adaptation is performed when the subject is in a good state.
It improves the authenticity of the adaptation results and the matching degree of the training load, enhances the closed-loop nature and reliability of the system's intervention process, avoids misjudgment and training frustration caused by poor subject condition, and improves the overall reliability and applicability of the system.