Soft Electronics Enabled Ergonomic Human-Computer Interaction for Swallowing Training
- Submitting institution
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The University of Kent
- Unit of assessment
- 12 - Engineering
- Output identifier
- 10647
- Type
- D - Journal article
- DOI
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10.1038/srep46697
- Title of journal
- Scientific Reports
- Article number
- 46697
- First page
- -
- Volume
- 7
- Issue
- -
- ISSN
- 2045-2322
- Open access status
- Compliant
- Month of publication
- April
- Year of publication
- 2017
- URL
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https://kar.kent.ac.uk/61078/
- Supplementary information
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- 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
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6
- Research group(s)
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-
- Proposed double-weighted
- No
- Reserve for an output with double weighting
- No
- Additional information
- This paper demonstrates for the first time a human computer interaction system with skin-like EMG sensors for unobtrusive and comfortable swallowing detection which is used to drive computer games for swallowing rehabilitation. The project is driven by the real world clinical needs of a consultant at King’s College Hospital NHS Foundation Trust, Dr David Smithard. The current sensor and software setup is being further developed for chewing monitoring and food texture recognition, as well as Brain Computer Interfacing (with EEG skin sensors) for wheelchair control in collaboration with Georgia Tech.
- Author contribution statement
- -
- Non-English
- No
- English abstract
- -