TY - GEN
T1 - Robust Pattern Recognition Myoelectric Training for Improved Online Control within a 3D Virtual Environment
AU - Woodward, Richard B.
AU - Hargrove, Levi J.
N1 - Funding Information:
This research was supported by the US Army’s Congressional Directed Medical Research Program Grant W81XWH-15-2-0035.
Publisher Copyright:
© 2018 IEEE.
PY - 2018/10/26
Y1 - 2018/10/26
N2 - It has been shown that maintaining a neutral arm position during collection of pattern recognition training data for myoelectric prosthesis control results in high offline classification accuracies; however, that precision does not translate to real-time applications, when the arm is used in different positions. Previous studies have shown that collecting training data with the arm in a variety of positions can improve pattern recognition control systems. In this work, we extended these findings to real-time myoelectric control in an immersive testing environment using virtual reality. We show that collecting training data for a pattern recognition algorithm under dynamic conditions, where the user moves their arm, significantly improves control efficiency and achievement of testing metrics.
AB - It has been shown that maintaining a neutral arm position during collection of pattern recognition training data for myoelectric prosthesis control results in high offline classification accuracies; however, that precision does not translate to real-time applications, when the arm is used in different positions. Previous studies have shown that collecting training data with the arm in a variety of positions can improve pattern recognition control systems. In this work, we extended these findings to real-time myoelectric control in an immersive testing environment using virtual reality. We show that collecting training data for a pattern recognition algorithm under dynamic conditions, where the user moves their arm, significantly improves control efficiency and achievement of testing metrics.
UR - http://www.scopus.com/inward/record.url?scp=85056622337&partnerID=8YFLogxK
UR - http://www.scopus.com/inward/citedby.url?scp=85056622337&partnerID=8YFLogxK
U2 - 10.1109/EMBC.2018.8513183
DO - 10.1109/EMBC.2018.8513183
M3 - Conference contribution
C2 - 30441399
AN - SCOPUS:85056622337
T3 - Proceedings of the Annual International Conference of the IEEE Engineering in Medicine and Biology Society, EMBS
SP - 4701
EP - 4704
BT - 40th Annual International Conference of the IEEE Engineering in Medicine and Biology Society, EMBC 2018
PB - Institute of Electrical and Electronics Engineers Inc.
T2 - 40th Annual International Conference of the IEEE Engineering in Medicine and Biology Society, EMBC 2018
Y2 - 18 July 2018 through 21 July 2018
ER -