Title
Development of a Parent Wireless Assistive Interface for Myoelectric Prosthetic Hands for Children.
Abstract
In this study, a one-degree-of-freedom myoelectric prosthesis system was proposed using a Parent Wireless Assistive Interface (PWAI) that allowed an external assistant (e.g., the parent of the user) to immediately adjust the parameters of the prosthetic hand controller. In the PWAI, the myoelectric potential of use of the upper limb was plotted on an external terminal in real time. Simultaneously, the assistant adjusted the parameters of the prosthetic hand control device and manually manipulated the prosthetic hand. With these functions, children that have difficulty verbally communicating could obtain properly adjusted prosthetic hands. In addition, non-experts could easily adjust and manually manipulate the prosthesis; therefore, training for the prosthetic hands could be performed at home. Two types of hand motion discrimination methods were constructed in this study of the myoelectric control system: (1) a threshold control based on the myoelectric potential amplitude information and (2) a pattern recognition of the frequency domain features. In an evaluation test of the prosthesis threshold control system, child subjects achieved discrimination rates as high as 89%, compared with 96% achieved by adult subjects. Furthermore, the high discrimination rate was maintained by sequentially updating the threshold value. In addition, a discrimination rate of 82% on average was obtained by recognizing three motions using the pattern recognition method.
Year
DOI
Venue
2018
10.3389/fnbot.2018.00048
FRONTIERS IN NEUROROBOTICS
Keywords
Field
DocType
myoelectric prosthetic hand,EMG,human-machine interface,children,artificial neural network,threshold
Prosthesis,Frequency domain,Computer vision,Control theory,Wireless,Computer science,Human–machine interface,Artificial intelligence,Control system,Machine learning
Journal
Volume
ISSN
Citations 
12
1662-5218
0
PageRank 
References 
Authors
0.34
2
9