A Self-Adaptive Online Brain Machine Interface of a Humanoid Robot through a General Type-2 Fuzzy Inference System
- Submitting institution
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The University of Essex
- Unit of assessment
- 11 - Computer Science and Informatics
- Output identifier
- 1194
- Type
- D - Journal article
- DOI
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10.1109/TFUZZ.2016.2637403
- Title of journal
- IEEE Transactions on Fuzzy Systems
- Article number
- 1
- First page
- 101
- Volume
- 26
- Issue
- 1
- ISSN
- 1063-6706
- 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
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3
- Research group(s)
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A - Artificial Intelligence (AI)
- Citation count
- 27
- Proposed double-weighted
- No
- Reserve for an output with double weighting
- No
- Additional information
- A ground-breaking self-adaptive learning system is presented that solves the modelling of non-stationary and highly uncertain decoding of brain signals, a major problem for brain-machine-interfaces (BMI). Significantly this was the culmination of research developed under EP/N027132/1 (https://gtr.ukri.org/projects?ref=EP%2FN027132%2F1). Published in IEEE-TFS, a leading journal, this widely-cited and rigorous (evaluated via controlled BMI experiments/competitor benchmarking) approach enabled control of a humanoid robot and influenced leading international laboratories: brain-robots (Zeng,Nanjing), cognitive states (Kwak,Korea), driving analysis (Ming,Sydney). It also led to a computational intelligence fuzzy-type2 international taskforce (https://sites.google.com/view/cisneuraleng) enabling application in many fields (https://doi.org/10.1016/j.neucom.2019.03.071) and organisation of a strand at a leading conference: https://sites.google.com/view/fuzzybrainwcci2020.
- Author contribution statement
- -
- Non-English
- No
- English abstract
- -