1209317
doi
10.5281/zenodo.1209317
oai:zenodo.org:1209317
user-eu
Murgia, Alessio
University of Gronin gen, University Medical Center Groningen, Center for Human Movement Sciences, Groningen, the Netherlands
van der Sluis, Corry
University of Groningen, University Medical Center Groningen, Department of Rehabilitation Medicine, Groningen, the Netherlands
Bongers, Raoul M.
University of Gronin gen, University Medical Center Groningen, Center for Human Movement Sciences, Groningen, the Netherlands
Serious gaming to train pattern-recognition based myoelectric control
Kristoffersen, Morten Bak
University of Groningen, University Medical Center Groningen, Department of Rehabilitation Medicine, Groningen, the Netherlands
info:eu-repo/semantics/openAccess
Creative Commons Attribution 4.0 International
https://creativecommons.org/licenses/by/4.0/legalcode
Serious gaming
Pattern-recognition
Myoelectric control
prosthesis
<p>User training of upper-limb myoelectric prostheses using a pattern-recognition based control scheme is currently limited to the clinic and consists of a considerable amount of trial and error due to the lack of appropriate feedback. In this study, feedback in the form of a serious game during the system training procedure, is compared to conventional system training. The objective of the current study, is to test whether feedback in the form of a serious game gives better results than conventional feedback in the system training of prosthesis control based on pattern recognition.</p>
Zenodo
2010-09-28
info:eu-repo/semantics/conferencePoster
1209316
user-eu
award_title=Intuitive Natural Prosthesis UTilization; award_number=687795; award_identifiers_scheme=url; award_identifiers_identifier=https://cordis.europa.eu/projects/687795; funder_id=00k4n6c32; funder_name=European Commission;
1579542239.89578
363882
md5:755f5d62236b240ac612e8abd35daeba
https://zenodo.org/records/1209317/files/20160926 TIPS Poster.pdf
public
10.5281/zenodo.1209316
isVersionOf
doi