Aiming at demand for training under limbs of stroke patients

design a rehabilitation training assessment system. System real-time collect sequence information of lower limb rehabilitation action utilizing Kinect 2. 0somatosensory equipment. Extract angle sequence characteristics of relevant joints

after comparing with the action library standard action sequence characteristics

calculate correlation

add time parameter

comprehensive assessment of results is obtained. The results show that this system can accurately identify and guide the participants’ rehabilitation

and more rehabilitation actions can be assessed through formation of different posture library.