Gender and gaze gesture recognition for human-computer interaction
- Submitting institution
-
University of the West of England, Bristol
- Unit of assessment
- 12 - Engineering
- Output identifier
- 924795
- Type
- D - Journal article
- DOI
-
10.1016/j.cviu.2016.03.014
- Title of journal
- Computer Vision and Image Understanding
- Article number
- -
- First page
- 32
- Volume
- 149
- Issue
- -
- ISSN
- 1077-3142
- Open access status
- Out of scope for open access requirements
- Month of publication
- March
- Year of publication
- 2016
- URL
-
http://dx.doi.org/10.1016/j.cviu.2016.03.014
- 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
-
3
- Research group(s)
-
-
- Proposed double-weighted
- No
- Reserve for an output with double weighting
- No
- Additional information
- This paper was central to the award of a Vice Chancellor’s Interdisciplinary Award from UWE in 2019, where eye tracking and eye saccade pattern analysis was further investigated to potentially enable medical applications. The work also inspired two PhD projects funded by the EPSRC Centre for Doctoral Training scheme (EP/L015293/1), supervised by Zhang and Smith.
- Author contribution statement
- -
- Non-English
- No
- English abstract
- -
