Abstract
This paper reviews the research on upper limb exoskeleton for hemiplegia rehabilitation. Under the condition of rehabilitation training for mild patients in the workspace of 7-DOF exoskeleton with uncertain trajectory, a control algorithm used for motion detection is carried. In this algorithm, the patient’s operation can be detected by real-time data collected by F/T (Force/Torque) sensors and encoders, so that quantitative assistance will be supplied by exoskeleton according to the patient’s motion intention. Finally, the joint simulation of ADAMS and MATLAB proves the accuracy of trajectory tracking and the feasibility of the control strategy is verified by the experiment on 3-DOF translational manipulator platform.
Talk to us
Join us for a 30 min session where you can share your feedback and ask us any queries you have
Schedule a callMore From: IOP Conference Series: Earth and Environmental Science
Disclaimer: All third-party content on this website/platform is and will remain the property of their respective owners and is provided on "as is" basis without any warranties, express or implied. Use of third-party content does not indicate any affiliation, sponsorship with or endorsement by them. Any references to third-party content is to identify the corresponding services and shall be considered fair use under The CopyrightLaw.
