Title
An Adaptive and Jointless Hand Exoskeleton System Design
Abstract
The current paper presents a wearable, adaptive and jointless hand exoskeleton to assist tendon therapy exercises. Since human fingers are distributed in a crosswise narrow space, it may cause many problems in size and flexibility if we apply traditional rigid structure based on pin joints. Besides, the distance between joints in human fingers varies from person to person, which means that the exoskeleton has to be tailor-made for each patient. However, a jointless structure with no pin joint can be very soft and ignores the diversity of the distance between human fingers. The proposed exoskeleton is developed to assist adduction and abduction motion of fingers. Smart Dual-Motor System with tension response is used actuate the exoskeleton. Based on kinematic models of the proposed device, assessment of the range of movement (ROM) can be made. The software is based on pressure-torque feedback control logic. The pressure sensors and tensiometers collect data and store it into several buffer for further processing with FIR filters. A finite state machine (FSM) is integrated to support the sequential logic.
Year
DOI
Venue
2018
10.1109/ICARCV.2018.8581280
2018 15th International Conference on Control, Automation, Robotics and Vision (ICARCV)
Keywords
Field
DocType
wearable hand exoskeleton,adaptive hand exoskeleton,jointless hand exoskeleton,tendon therapy exercises,human fingers,traditional rigid structure,pin joint,jointless structure,smart dual-motor system,FIR filters,finite state machine,pressure sensors,tensiometers,range of movement,pressure-torque feedback control logic,finger adduction motion,finger abduction motion
Kinematics,Sequential logic,Computer science,Wearable computer,Systems design,Finite-state machine,Control engineering,Revolute joint,Control logic,Exoskeleton
Conference
ISSN
ISBN
Citations 
2474-2953
978-1-5386-9583-8
0
PageRank 
References 
Authors
0.34
0
4
Name
Order
Citations
PageRank
Aiheng Liu100.34
Jing Qiu26014.01
Fangjie Wang300.34
Lei Hou4378.93