TRAINING OF UPPER LIMB STROKE REHABILITATION ROBOTIC SYSTEM USING KINETIC POSE ESTIMATION ALGORITHM AND DEEP LEARNING

摘要

#$%^&*AU2020102303A420201029.pdf#####TRAINING OF UPPER LIMB STROKE REHABILITATION ROBOTIC SYSTEM USING KINETIC POSE ESTIMATION ALGORITHM AND DEEP LEARNING ABSTRACT Robot-interceded treatment is a feasible methodology for upper appendage recovery. The upper appendage is an exceptionally perplexing fragment, and the recognizable proof of the suitable gadgets fit for restoring it worldwide in clinical practice is crucial. Recently, automated treatment for upper appendage stroke recovery has gotten critical consideration since it can give high-force and redundant development treatment. In this invention, the current status of upper appendage recovery robots is investigated. Initially, a diagram of the mechanical plan of advanced mechanics for upper-appendage restoration and clinical impacts of part robots are given. At that point, the correlations of human-machine connections, control techniques, driving modes, also, preparing modes are depicted. At last, the turn of events and the conceivable future bearings of the upper appendage recovery robot are talked about. 11 P a g e