A novel real-time, lightweight chaotic-encryption scheme for next-generation audio-visual hearing-aids
- Submitting institution
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University of Wolverhampton
- Unit of assessment
- 11 - Computer Science and Informatics
- Output identifier
- 1199
- Type
- D - Journal article
- DOI
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10.1007/s12559-019-09653-z
- Title of journal
- Cognitive Computation
- Article number
- 3
- First page
- 589
- Volume
- 12
- Issue
- 3
- ISSN
- 1866-9956
- Open access status
- Exception within 3 months of publication
- Month of publication
- November
- Year of publication
- 2019
- URL
-
-
- 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
- Yes
- Number of additional authors
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3
- Research group(s)
-
-
- Citation count
- 6
- Proposed double-weighted
- No
- Reserve for an output with double weighting
- No
- Additional information
- This paper is the first to propose a novel 5G-IoT enabled secure multimodal (MM) audio-visual (AV) hearing aid (HA) framework as an effective and feasible solution to develop next-generation multimodal digital HAs. This research was the basis for the awarded £4million EPSRC programme grant COG-MHEAR. COG-MHEAR provides the UK with a timely opportunity to improve hearing aid uptake, reduce NHS cost, and gain a leading position in the future MM HA industry. The research project partners are Edinburgh Napier (lead), Wolverhampton (co-lead), Edinburgh, Glasgow, Heriot-Watt, Manchester, Nottingham, Sonova, Nokia-Bell-Labs, Alpha-Data, and Action on Hearing Loss.
- Author contribution statement
- -
- Non-English
- No
- English abstract
- -