Is gender encoded in the smile? A computational framework for the analysis of the smile driven dynamic face for gender recognition
- Submitting institution
-
The University of Bradford
- Unit of assessment
- 11 - Computer Science and Informatics
- Output identifier
- 26
- Type
- D - Journal article
- DOI
-
10.1007/s00371-018-1494-x
- Title of journal
- The Visual Computer
- Article number
- -
- First page
- 1243
- Volume
- 34
- Issue
- 9
- ISSN
- 0178-2789
- Open access status
- Compliant
- Month of publication
- -
- Year of publication
- 2018
- URL
-
https://link.springer.com/article/10.1007%2Fs00371-018-1494-x
- 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)
-
-
- Citation count
- 6
- Proposed double-weighted
- No
- Reserve for an output with double weighting
- No
- Additional information
- The work presented in this paper has shown that machine learning can be utilised to uncover the relationship between gender and human smile. This is significant because knowing the existence of this relationship leads to the development of soft biometrics for people identification, and it helps pave the way for us to better understand the human emotions and how physical characteristics may influence it. The work has been widely reported in the international media. This article holds the 98th percentile position in The Visual Computer.
- Author contribution statement
- -
- Non-English
- No
- English abstract
- -
