A Lightweight and Inexpensive In-ear Sensing System For Automatic Whole-night Sleep Stage Monitoring
- Submitting institution
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University of Oxford
- Unit of assessment
- 11 - Computer Science and Informatics
- Output identifier
- 12294
- Type
- E - Conference contribution
- DOI
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10.1145/2994551.2994562
- Title of conference / published proceedings
- Proceedings of the 14th ACM Conference on Embedded Network Sensor Systems CD-ROM
- First page
- 230
- Volume
- -
- Issue
- -
- ISSN
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- Open access status
- -
- Month of publication
- November
- Year of publication
- 2016
- URL
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- Supplementary information
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- Request cross-referral to
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- Output has been delayed by COVID-19
- No
- COVID-19 affected output statement
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- Forensic science
- No
- Criminology
- No
- Interdisciplinary
- No
- Number of additional authors
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5
- Research group(s)
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-
- Citation count
- -
- Proposed double-weighted
- No
- Reserve for an output with double weighting
- No
- Additional information
- This contribution won Best Paper at SenSys 2016. It lays the foundations for a new type of embedded systems, “Earable Systems” – ear-worn sensing and stimulation devices for long-term, unobtrusive healthcare and brain-computer interactions. The technology has subsequently been commercialised through Earable Inc (http://earable-inc.com/, Founder and CEO Tam Vu). The work was central to Vu’s 2018 Google Faculty Research award and 2020 Sloan Research Fellowship. The research was recognised in two ACM highlights columns (CACM Research Highlights: https://cacm.acm.org/magazines/2018/11/232224-libs/fulltext; SIGMOBILE Research Highlights 2016: https://beta.sigmobile.org/articles/research-highlights), and by the Children’s Hospital Colorado Center for Innovation (https://youtu.be/lBKLvj24ZFI).
- Author contribution statement
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- Non-English
- No
- English abstract
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