Publication Type

Conference Proceeding Article

Version

acceptedVersion

Publication Date

3-2019

Abstract

In this paper, we present the design and evaluation of our system, which provides an engaging game-based pre-prosthesis training environment for upper limb transradial amputees. We believe that patients who train using such a training tool will demonstrate significantly higher improvement in functional performance tests using a myoelectric prosthesis than when conventional pre-prosthesis training protocols are used. We re-designed two simple games to be playable using three muscle contractions which are appropriate to pre-prosthesis exercises and are detected by an EMG-based arm sleeve. Through user studies conducted with 16 non-amputee subjects, we show that the proposed games are enjoyable, fun to play, sustains motivation to continue playing and also helps in improving muscular control. Using an HMM trained on EMG data collected from the game play sessions of each user, we are able to detect if the subject felt fatigued, while continuously contracting the muscles to play the game, in 93% of the cases and with a latency of only ±15 seconds. We are also able to understand the subject's quality of muscle isolation during the game play.

Keywords

Artificial limbs, Muscle, Ubiquitous computing, Design and evaluations, Functional performance, Muscle contractions, Myoelectric prosthesis, Simple games, Training tools, Upper limbs, User study, Myoelectrically controlled prosthetics

Discipline

Health Information Technology | Software Engineering

Research Areas

Software and Cyber-Physical Systems

Publication

2019 IEEE International Conference on Pervasive Computing and Communications Workshops: Kyoto, March 11-15: Proceedings

First Page

151

Last Page

157

ISBN

9781538691519

Identifier

10.1109/PERCOMW.2019.8730824

Publisher

IEEE

City or Country

Piscataway, NJ

Copyright Owner and License

Authors/LARC

Additional URL

https://doi.org/10.1109/PERCOMW.2019.8730824

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