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Heading for new shores! Overcoming pitfalls in BCI design
- Source :
- Brain-Computer Interfaces, Brain-Computer Interfaces, 2016, HAL, Brain-Computer Interfaces, Taylor & Francis, 2016
- Publication Year :
- 2016
- Publisher :
- HAL CCSD, 2016.
-
Abstract
- International audience; Research in brain-computer interfaces has achieved impressive progress towards implementing assistive technologies for restoration or substitution of lost motor capabilities, as well as supporting technologies for able-bodied subjects. Notwithstanding this progress, effective translation of these interfaces from proof-of concept prototypes into reliable applications remains elusive. As a matter of fact, most of the current BCI systems cannot be used independently for long periods of time by their intended end-users. Multiple factors that impair achieving this goal have already been identified. However, it is not clear how do they affect the overall BCI performance or how they should be tackled. This is worsened by the publication bias where only positive results are disseminated, preventing the research community from learning from its errors. This paper is the result of a workshop held at the 6th International BCI meeting in Asilomar. We summarize here the discussion on concrete research avenues and guidelines that may help overcoming common pitfalls and make BCIs become a useful alternative communication device.
- Subjects :
- Heading (navigation)
Computer science
0206 medical engineering
pitfalls
Biomedical Engineering
02 engineering and technology
Article
Communication device
[INFO.INFO-AI]Computer Science [cs]/Artificial Intelligence [cs.AI]
03 medical and health sciences
Behavioral Neuroscience
brain-computer interfaces
0302 clinical medicine
[INFO.INFO-LG]Computer Science [cs]/Machine Learning [cs.LG]
[INFO.INFO-TS]Computer Science [cs]/Signal and Image Processing
Human–computer interaction
Research community
user centered design
EEG
[INFO.INFO-HC]Computer Science [cs]/Human-Computer Interaction [cs.HC]
Electrical and Electronic Engineering
BCI
[INFO.INFO-BT]Computer Science [cs]/Biotechnology
user training
signal processing
User-centered design
Brain–computer interface
publication bias
reporting
artefacts
[SCCO.NEUR]Cognitive science/Neuroscience
[INFO.INFO-CV]Computer Science [cs]/Computer Vision and Pattern Recognition [cs.CV]
020601 biomedical engineering
Human-Computer Interaction
Multiple factors
[SCCO.PSYC]Cognitive science/Psychology
Concrete research
Artifacts
030217 neurology & neurosurgery
Subjects
Details
- Language :
- English
- ISSN :
- 2326263X and 23262621
- Database :
- OpenAIRE
- Journal :
- Brain-Computer Interfaces, Brain-Computer Interfaces, 2016, HAL, Brain-Computer Interfaces, Taylor & Francis, 2016
- Accession number :
- edsair.doi.dedup.....c9f3828b0f46fd444742fdc764d98bcd