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Brain-Controlled Wheelchairs: A Robotic Architecture
Open accessAbstract
Independent mobility is central to being able to perform activities of daily living by oneself. However, power wheelchairs are not an option for many people who, due to severe motor disabilities, are unable to use conventional controls. For some of these people, noninvasive brain– computer interfaces (BCIs) offer a promising solution to this interaction problem.
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Research works printed but not linked: 19
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Cited by
Control strategies for active lower extremity prosthetics and orthotics: a review
Tucker, M. R., Olivier, J., Pagel, A., Bleuler, H., Bouri, M., Lambercy, O., Millán, J. D. R., Riener, R., Vallery, H., & Gassert, R. (2015) · Journal of NeuroEngineering and Rehabilitation · doi:10.1186/1743-0003-12-1 · Cited by 1,047
“An array of sonar sensors and digital video cameras was used to detect obtacles, which was used in the shared control context allow/disallow user commands with a brain-controlled wheelchair [47].”
InfluentialSelf-citationNoninvasive Electroencephalogram Based Control of a Robotic Arm for Reach and Grasp Tasks
Meng, J., Zhang, S., Bekyo, A., Olsoe, J., Baxter, B., & He, B. (2016) · Scientific Reports · doi:10.1038/srep38565 · Cited by 484
Feature Extraction and Classification Methods for Hybrid fNIRS-EEG Brain-Computer Interfaces
Hong, K.-S., Khan, M. J., & Hong, M. J. (2018) · Frontiers in Human Neuroscience · doi:10.3389/fnhum.2018.00246 · Cited by 283
Decoding of four movement directions using hybrid NIRS-EEG brain-computer interface
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Metadata
- Authors
- Carlson, T., & del R. Millan, J.
- Venue
- IEEE Robotics & Automation Magazine
- Published
- 2013-03
- Volume
- 20
- Issue
- 1
- Pages
- 65-73
- ISSN
- 1070-9932 (ISSN-L)
- OpenAlex
- W2008359193
- Cited by
- 432
- References
- 0
- FWCI
- 20.03
- Type
- journal article
- Language
- en
- Open access
- green
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Bibliographic data: Semantic Scholar, OpenAlex, Crossref.
Contains information from the Semantic Scholar Academic Graph Datasets, made available under the ODC Attribution License (ODC-BY 1.0).
Semantic Scholar’s data is described in: Kinney, R., et al. (2023). The Semantic Scholar Open Data Platform. arXiv:2301.10140.
