DocumentCode :
3754582
Title :
A bilateral rehabilitation method for arm coordination and manipulation function with gesture and haptic interfaces
Author :
Chang Xu;Huanshuai Li;Kui Wang;Jingtai Liu;Ningbo Yu
Author_Institution :
Institute of Robotics and Automatic Information Systems, Nankai University, Weijin Road 94, Tianjin 300071, China
fYear :
2015
Firstpage :
309
Lastpage :
313
Abstract :
Disabilities after neural injury such as stroke bring tremendous burden to the patients, families and society. Besides the conventional constrained-induced training with the paretic arm, bilateral rehabilitation training involves both the ipsilateral and contralateral sides of the neural injury, fits well the fact that both arms are needed in common activities of daily living (ADLs), and can promote good functional recovery. In this work, a bilateral rehabilitation training method is proposed and implemented with the Leap Motion sensor and omega.7 haptic interface. The Leap Motion sensor detects the motion of the healthy hand, and the omega.7 device, according to the cooperative task paradigm, assists the paretic hand as much as needed with active force feedback to accomplish the manipulation task. A virtual scenario has been built up, and the motion and force data enables visual and audio feedback in real time as well as further analysis of the functional capabilities of the patient. This task-oriented bimanual training paradigm encourages active involvement of the patients into rehabilitation, strengthens cooperation of both the healthy and impaired hands, challenges the dexterous manipulation capability of the paretic hand, suits easy home use, and thus, promises effective rehabilitation therapy.
Keywords :
"Training","Force feedback","Force","Three-dimensional displays","Robot kinematics"
Publisher :
ieee
Conference_Titel :
Robotics and Biomimetics (ROBIO), 2015 IEEE International Conference on
Type :
conf
DOI :
10.1109/ROBIO.2015.7418785
Filename :
7418785
Link To Document :
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