Open AccessStudy on Force Interaction System of Upper Limb Rehabilitation Robot
Author(s) -
Xiaoming Wang,
Hongliu Yu,
Kejing Li,
Qinglin Dong,
Xiaohai Huang
Publication year - 2019
Publication title -
iop conference series. materials science and engineering
Language(s) - English
Resource type - Journals
eISSN - 1757-899X
pISSN - 1757-8981
DOI - 10.1088/1757-899x/631/3/032051
Subject(s) - rehabilitation , robot , torque , virtual reality , computer science , rehabilitation robotics , simulation , human–computer interaction , physical medicine and rehabilitation , artificial intelligence , physical therapy , medicine , physics , thermodynamics
This paper designed a novel human-machine interaction system for a Center-control upper limb rehabilitation robot. This proposed system integrates control system, force interaction system, the graphical user interface and virtual reality system based on motion intention recognition technology, control technology and servo drive technology. Emphasis is placed on the research of force interaction system, which can identify the patient’s motion intention and provide the required torque for rehabilitation training. Two functional tests have been done to verify that the human-machine interaction system of the upper limb rehabilitation robot can safely and effectively complete the assistance function in the active training, and can assist patients with certain muscle strength to complete the active rehabilitation training.