Paper Info
Title
A Self Training System For A Hemiplegia Person Using The Hand Motion Capture Device
Abstract
This paper discussed the self-training system for a hemiplegia person using power assist hand. The power assist hand is the rehabilitation equipment for hemiplegic disabilities using bellows actuators. We developed the self-training system which is composed of a power assist hand and a hand motion capture device (HMCD). The HMCD used here is a Leap Motion Sensor. This sensor is very useful device for getting the positions of finger joints. The system recognizes the flexion or extension motion of healthy fingers using the leap motion sensor, the power assist hand moves according to the motion of healthy hand. The feature of this system is the good usability that the user can use intuitively. The effectiveness and usability of our system are clarified by several experiments.
Year
DOI
Venue
2018
10.1109/ICARCV.2018.8581162
2018 15TH INTERNATIONAL CONFERENCE ON CONTROL, AUTOMATION, ROBOTICS AND VISION (ICARCV)
Field
DocType
ISSN
Motion capture,Computer science,Leap motion,Simulation,Usability,Control engineering,Bellows,Self training,Actuator
Conference
2474-2953
Citations 
PageRank 
References 
0
0.34
0
Authors
2
Name
Order
Citations
PageRank
Noriyuki Kawarazaki123.78
tadashi yoshidome272.46