Human hand motion analysis with multisensory information
- Submitting institution
-
University of Portsmouth
- Unit of assessment
- 11 - Computer Science and Informatics
- Output identifier
- 7110287
- Type
- D - Journal article
- DOI
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10.1109/TMECH.2013.2240312
- Title of journal
- IEEE/ASME Transactions on Mechatronics
- Article number
- -
- First page
- 456
- Volume
- 19
- Issue
- 2
- ISSN
- 1083-4435
- Open access status
- Out of scope for open access requirements
- Month of publication
- February
- Year of publication
- 2014
- 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
-
1
- Research group(s)
-
B - Computational Intelligence
- Citation count
- 61
- Proposed double-weighted
- No
- Reserve for an output with double weighting
- No
- Additional information
- The paper integrates the state-of-the-art sensor technology with the developed algorithms, providing related researchers with a versatile and adaptable platform for hand motion analysis that has potential applications especially in robotic hand or prosthetic hand control and human-computer interaction. The framework has been used in the DREAM EU-funded project (http://dream2020.eu) to recognise the body and hand gestures of children with autistic spectrum disorders.
- Author contribution statement
- -
- Non-English
- No
- English abstract
- -