Extending myoelectric prosthesis control with shapable automation: A first assessment

Matthew Derry, Brenna Dee Argall

Research output: Chapter in Book/Report/Conference proceedingConference contribution

2 Scopus citations

Abstract

For many users of myoelectric prostheses there is a set of functionality which remains out of reach with current technology. In this work, we provide a first assessment of an extension to classical myoelectric prostheses control approaches that introduces simple automation that is shapable, using EMG signals. The idea is not to replace classical techniques, but to introduce automation for tasks, like those which require the coordination of multiple degrees of freedom, for which automation is well-suited. A prototype system is developed in simulation and an exploratory user study is performed to provide a first assessment, that evaluates our proposed approach and provides guidance for future development. A comparison is made between different formulations for the shaping controls, as well as to a classical control paradigm. Results from the user study are promising: showing significant performance improvements when using the automated controllers, and also unanimous preference for the use of automated controllers on this task. Additionally, some questions about the optimal user interaction with the system are revealed. All of these results support the case for continued development of the proposed approach, including more extensive user studies.

Original languageEnglish (US)
Title of host publicationHRI 2014 - Proceedings of the 2014 ACM/IEEE International Conference on Human-Robot Interaction
PublisherIEEE Computer Society
Pages455-462
Number of pages8
ISBN (Print)9781450326582
DOIs
StatePublished - Jan 1 2014
Event9th Annual ACM/IEEE International Conference on Human-Robot Interaction, HRI 2014 - Bielefeld, Germany
Duration: Mar 3 2014Mar 6 2014

Other

Other9th Annual ACM/IEEE International Conference on Human-Robot Interaction, HRI 2014
CountryGermany
CityBielefeld
Period3/3/143/6/14

Keywords

  • Automation
  • Human-robot interaction
  • Myoelectric prosthesis control

ASJC Scopus subject areas

  • Artificial Intelligence
  • Human-Computer Interaction
  • Electrical and Electronic Engineering

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  • Cite this

    Derry, M., & Argall, B. D. (2014). Extending myoelectric prosthesis control with shapable automation: A first assessment. In HRI 2014 - Proceedings of the 2014 ACM/IEEE International Conference on Human-Robot Interaction (pp. 455-462). IEEE Computer Society. https://doi.org/10.1145/2559636.2559685