A hybrid brain-computer interface for closed-loop position control of a robot arm
- Submitting institution
-
Liverpool Hope University
- Unit of assessment
- 11 - Computer Science and Informatics
- Output identifier
- AKN15D
- Type
- D - Journal article
- DOI
-
10.1109/JAS.2020.1003336
- Title of journal
- IEEE/CAA Journal of Automatica Sinica
- Article number
- -
- First page
- 1344
- Volume
- 7
- Issue
- 5
- ISSN
- 2329-9274
- Open access status
- Compliant
- Month of publication
- August
- Year of publication
- 2020
- 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
-
2
- Research group(s)
-
S - Spatial Computing and Robotics (SC&R)
- Citation count
- 1
- Proposed double-weighted
- No
- Reserve for an output with double weighting
- No
- Additional information
- Nagar and Visiting Professor Konar Jointly supervised CSIR PhD-studentship; also financially supported by RUSA 2.0 scheme to JU India i.e. "National Higher Education Mission".
This is the first successful attempt to detect positional -error of a robot-arm by the subject's brain and also to mentally generate automatic correction command to control the position of the end-effector of robot-arm. Work highlighted by the publisher of the journal (http://www.ieee-jas.org/en/article/doi/10.1109/JAS.2020.1003336) for its useful applications for physically-challenged people to be able to control movement of their artificial (upper) limbs using the proposed neuro-prosthetic BCI aids.
- Author contribution statement
- -
- Non-English
- No
- English abstract
- -
