The application belongs to the technical field of
data analysis, and discloses a state
perception and
adaptation method and
system based on multi-source heterogeneous data fusion, which comprises the following steps: collecting
heart rate data, state data and cognitive data of a subject, generating baseline
heart rate, state characteristics and initial cognitive characteristics respectively; generating a state
perception result; judging whether the initial cognitive characteristics meet the
adaptation input condition according to the state
perception result; if not, performing
recovery mode training, and re-collecting cognitive data and state data after the
recovery mode training is completed, generating updated cognitive characteristics and comprehensive
recovery confidence; then judging whether the
adaptation input condition is met, if yes, taking the initial cognitive characteristics or the updated cognitive characteristics that meet the adaptation input condition as effective cognitive characteristics, and calling the effective cognitive characteristics to perform recommended scheme adaptation, otherwise, repeatedly performing the recovery mode training; the application improves the reliability and applicability of the ability evaluation and
rehabilitation system.