The invention discloses an
exoskeleton robot rehabilitation parameter dynamic evaluation method and
system based on
gait quantitative analysis, and the method achieves the precise matching of a closest reference standard for a patient through an intelligent reference matching
algorithm based on the dynamic reference matching technology of height and weight, and achieves the personalized
adaptation of an evaluation reference. Misjudgment caused by an evaluation mode only depending on doctor experience is avoided,
rehabilitation training parameters better fit actual physiological features of a patient, meanwhile, through a multi-dimensional
gait scoring model, angle deviation analysis and bilateral coordination evaluation are fused, left and right joint activities are paired and defined, and a bilateral limb activity difference value is calculated, so that the
rehabilitation training accuracy is improved. The asymmetric
dyskinesia of a hemiplegic patient is accurately identified, a quantitative basis is provided for making a rehabilitation scheme, accurate judgment is performed according to own data characteristics of different users, and a rehabilitation treatment scheme is customized for the users by using quantitative data reference, so that the consistency and accuracy of the rehabilitation effect are ensured.