# User training for machine learning controlled upper limb prostheses: a serious game approach

**Type:** Papers  
**Canonical URL:** https://scholariq.org/papers/user-training-for-machine-learning-controlled-upper-limb-prostheses-a-serious/

## Facts

| Field | Value |
| --- | --- |
| Author Names | Morten Kristoffersen,Andreas Franzke,Raoul M. Bongers,Michael Wand,Alessio Murgia,Corry K. van der Sluis |
| Citations | 60 |
| DOI | 10.1186/s12984-021-00831-5 |
| Fields | Engineering,Neuroscience |
| Open Access | true |
| OA Status | gold |
| OA URL | https://jneuroengrehab.biomedcentral.com/track/pdf/10.1186/s12984-021-00831-5 |
| OpenAlex ID | https://openalex.org/W3126834518 |
| PMID | 33579326 |
| Type | article |
| Year | 2021 |

## Paper authors

- [Alessio Murgia](https://scholariq.org/researchers/alessio-murgia/)

## Paper journal

- [Journal of NeuroEngineering and Rehabilitation](https://scholariq.org/journals/journal-of-neuroengineering-and-rehabilitation/)

## Paper primary topic

- [Muscle activation and electromyography studies](https://scholariq.org/topics/muscle-activation-and-electromyography-studies/)

## Paper topics

- [Muscle activation and electromyography studies](https://scholariq.org/topics/muscle-activation-and-electromyography-studies/)
- [Prosthetics and Rehabilitation Robotics](https://scholariq.org/topics/prosthetics-and-rehabilitation-robotics/)
- [EEG and Brain-Computer Interfaces](https://scholariq.org/topics/eeg-and-brain-computer-interfaces/)

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Source: ScholarIQ — public research metadata, principally OpenAlex. See https://scholariq.org/sources/ for provenance and https://scholariq.org/methodology/ for what these figures mean.