Paper Info
Title
Electric Stimulation based Weight Discrimination for Paraplegic Wearing Exoskeleton
Abstract
This paper proposes an electrical stimulation system to provide a lower limb motion state for paraplegic patients wearing an exoskeleton. The system consists of a glove-type exoskeleton controller and an electric stimulation device. In addition, a mechanical leg, which simulates a paraplegic's lower limb wearing an exoskeleton, was developed to conduct the preliminary experiment. The operator using his finger voluntarily controls the movement of the mechanical leg through the glove-type controller. Meanwhile, he receives electrical stimulation feedback that represents the output torque of the mechanical leg. In this manner, the system makes a connection between finger's motion and electrical stimulation. The operator could predict the feedback when he controls the mechanical leg. Finally, weight discrimination experiments were implemented to evaluate the accuracy of the electrical stimulation system. The subjects control the mechanical leg and receive electrical stimulation with different weight loading on the mechanical leg. The experimental results indicate that: 1) The dynamic of the mechanical leg is integrated into the body scheme of the subjects after training. 2) The subjects are capable of distinguishing a 17 percent change of weight loading at the minimum under the feedback of electric stimulation.
Year
DOI
Venue
2018
10.1109/IISR.2018.8535936
2018 IEEE International Conference on Intelligence and Safety for Robotics (ISR)
Keywords
DocType
ISBN
electrical stimulation feedback,glove-type controller,mechanical leg,electric stimulation device,glove-type exoskeleton controller,lower limb motion state,electrical stimulation system,paraplegic wearing exoskeleton,efficiency 17.0 percent
Conference
978-1-5386-5548-1
Citations 
PageRank 
References 
0
0.34
5
Authors
4
Name
Order
Citations
PageRank
Mengze Li100.34
Xufeng Wang200.34
Tadayoshi Aoyama36928.58
Yasuhisa Hasegawa445694.62