Reducing power and increasing accuracy of on-body sensing in motion capture application
- Submitting institution
-
Bournemouth University
- Unit of assessment
- 12 - Engineering
- Output identifier
- 212656
- Type
- D - Journal article
- DOI
-
10.1049/iet-spr.2014.0496
- Title of journal
- IET Signal Processing
- Article number
- 0
- First page
- 133
- Volume
- 10
- Issue
- 2
- ISSN
- 1751-9675
- Open access status
- Out of scope for open access requirements
- Month of publication
- April
- Year of publication
- 2016
- URL
-
-
- Supplementary information
-
-
- 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
-
-
- Research group(s)
-
-
- Proposed double-weighted
- No
- Reserve for an output with double weighting
- No
- Additional information
- This paper produced results from the new technique to address wearability, power efficiency and measurement repeatability challenges for wearable on-body sensing systems. By proposing and implementing an automated computational approach, the improved flexibility and usability of these systems are confirmed. This paper forms the basis of a successful collaboration with Bournemouth University, NHS and Zimmer Biomet which has led to a basis for EPSRC and UKRI applications worth a total of £250k. The impact of this paper is demonstrated by publication in referable journals and conferences in the field which could contribute to widespread adoption of on-body sensing systems.
- Author contribution statement
- -
- Non-English
- No
- English abstract
- -