A Synergetic Brain-Machine Interfacing Paradigm for Multi-DOF Robot Control
- Submitting institution
-
University of Ulster
- Unit of assessment
- 11 - Computer Science and Informatics
- Output identifier
- 79693656
- Type
- D - Journal article
- DOI
-
10.1109/TSMC.2016.2560532
- Title of journal
- IEEE Transactions on Systems, Man, and Cybernetics: Systems
- Article number
- -
- First page
- 957
- Volume
- 46
- Issue
- 7
- ISSN
- 2168-2216
- Open access status
- Out of scope for open access requirements
- Month of publication
- May
- 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
- No
- Number of additional authors
-
2
- Research group(s)
-
A - Intelligent Systems Research Centre
- Citation count
- 21
- Proposed double-weighted
- No
- Reserve for an output with double weighting
- No
- Additional information
- <24> The work was supported by the Erasmus Mundus Action 2 programme (2012-2648/001-001-EM Action 2-Partnerships, ~15000 Euros) and led to the employment of Bhattacharya as a post-doctoral researcher with Dr Mitsuhiro Hayashibe (mitsuhiro.hayashibe@tohoku.ac.jp) in the Inria BCI-LIFT project (http://bci-lift.inria.fr/team/) in 2015 and subsequently a lectureship at Ulster University in 2020. The synergetic framework was further adapted for knee rehabilitation (DOI: 10.1109/WEROB.2017.8383849) and inspired further work for a redundant articulated robot (DOI: 10.1109/TCDS.2017.2697904).
- Author contribution statement
- -
- Non-English
- No
- English abstract
- -