Perception and Automatic Recognition of Laughter from Whole-Body Motion: Continuous and Categorical Perspectives
- Submitting institution
-
The University of East Anglia
- Unit of assessment
- 11 - Computer Science and Informatics
- Output identifier
- 182621886
- Type
- D - Journal article
- DOI
-
10.1109/TAFFC.2015.2390627
- Title of journal
- IEEE Transactions on Affective Computing
- Article number
- -
- First page
- 165
- Volume
- 6
- Issue
- 2
- ISSN
- 1949-3045
- Open access status
- Out of scope for open access requirements
- Month of publication
- January
- Year of publication
- 2015
- 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
-
6
- Research group(s)
-
-
- Citation count
- 13
- Proposed double-weighted
- No
- Reserve for an output with double weighting
- No
- Additional information
- This paper was an invited paper from the editors of IEEE Transactions on Affective Computing. This was due to itʼs conference counterpart paper published in ACII 2013 winning the overall best paper award (awarded to only one paper per conference). The paper sets a benchmark on machine understanding of how the human body moves when laughing. This stemmed from a large EU project ILHAIRE on the science of laughter that crossed many disciplines and countries. The results and conclusions informs a range of potential applications in animation, behavioural psychology and artificial intelligence.
- Author contribution statement
- -
- Non-English
- No
- English abstract
- -