Interface prostheses with classifier-feedback based user training
- Submitting institution
-
University of Portsmouth
- Unit of assessment
- 11 - Computer Science and Informatics
- Output identifier
- 7151419
- Type
- D - Journal article
- DOI
-
10.1109/TBME.2016.2641584
- Title of journal
- IEEE Transactions on Biomedical Engineering
- Article number
- -
- First page
- 2575
- Volume
- 64
- Issue
- 11
- ISSN
- 0018-9294
- Open access status
- Compliant
- Month of publication
- December
- Year of publication
- 2016
- URL
-
-
- Supplementary information
-
-
- Request cross-referral to
- -
- Output has been delayed by COVID-19
- No
- COVID-19 affected output statement
- -
- Forensic science
- No
- Criminology
- No
- Interdisciplinary
- Yes
- Number of additional authors
-
3
- Research group(s)
-
B - Computational Intelligence
- Citation count
- 30
- Proposed double-weighted
- No
- Reserve for an output with double weighting
- No
- Additional information
- Funded by the European Union (Grant No. 600915), this work introduced an electromyography based HCI for user training that impacted related work on improved user training via the development of visual feedback (Montalivet et al., IEEE TNSRE 2020), and was considered as a potential future improvement (Lv et al., IEEE EMBC 2019).
- Author contribution statement
- -
- Non-English
- No
- English abstract
- -