publication . Other literature type . Conference object . 2018

Feedback Affects How Users Improve When Training Machine Learning Control (Original Title: Different Feedback During User Training For Pattern Recognition Control Lead To Similar Performance, But In Different Ways)

Kristoffersen, Morten Bak; Franzke, Andreas; Murgia, Alessio; van der Sluis, Corry; Bongers, Raoul;
Open Access
  • Published: 12 May 2018
  • Publisher: Zenodo
Abstract
<strong>Abstract</strong> Different feedback during user training for pattern recognition control lead to similar performance, but in different ways<br> M. B. Kristoffersen, A. Franzke, A. Murgia, R. Bongers, C. van der Sluis; University Medical Center Groningen, University of Groningen, Groningen, Netherlands. <strong>Background:</strong> Pattern recognition (PR) control has been proposed as a clinical alternative to the direct control scheme used in upper limb prosthetics. The intent of PR control is that distinct electromyography (EMG) patterns over several muscles generated by phantom movements will provide intuitive control. However in many patients the EMG...
Subjects
free text keywords: Prosthesis, Myocontrol, Pattern-recognition, Machine Learning, Principal Component Analysis, Motor learning
Funded by
EC| INPUT
Project
INPUT
Intuitive Natural Prosthesis UTilization
  • Funder: European Commission (EC)
  • Project Code: 687795
  • Funding stream: H2020 | IA
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Zenodo
Other literature type . 2018
Provider: Datacite
Zenodo
Other literature type . 2018
Provider: Datacite
ZENODO
Conference object . 2018
Provider: ZENODO
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