Designing Game-Based Myoelectric Prosthesis Training

Aaron Tabor, Scott Bateman, Erik Scheme, David Flatla, Kathrin Gerling

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

33 Citations (Scopus)
627 Downloads (Pure)


A myoelectric prosthesis (myo) is a dexterous artificial limb controlled by muscle contractions. Learning to use a myo can be challenging, so extensive training is often required to use a myo prosthesis effectively. Signal visualizations and simple muscle-controlled games are currently used to help patients train their muscles, but are boring and frustrating.
Furthermore, current training systems require expensive medical equipment and clinician oversight, restricting training to infrequent clinical visits. To address these limitations, we developed a new game that promotes fun and success, and shows the viability of a low-cost myoelectric input device. We adapted a user-centered design (UCD) process to receive feedback from patients, clinicians, and family members as we iteratively addressed challenges to improve our game. Through this work, we introduce a free and open myo training game, provide new information about the design of myo training games, and reflect on an adapted UCD process for the practical iterative development of therapeutic games.
Original languageEnglish
Title of host publicationCHI 2017
Subtitle of host publicationProceedings of the 2017 CHI Conference on Human Factors in Computing Systems
Place of PublicationNew York
PublisherAssociation for Computing Machinery
Number of pages13
ISBN (Electronic)9781450346559
Publication statusPublished - 2 May 2017
EventCHI '17: CHI Conference on Human Factors in Computing Systems - Denver, United States
Duration: 6 May 201711 May 2017


ConferenceCHI '17
Country/TerritoryUnited States
Internet address


  • Prosthetic
  • myoelectric
  • training
  • games
  • UCD
  • H.5.m. Info interfaces & presentation (e.g., HCI)


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