Recognizing Induced Emotions of Movie Audiences From Multimodal Information
- Submitting institution
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Bournemouth University
- Unit of assessment
- 11 - Computer Science and Informatics
- Output identifier
- 311205
- Type
- D - Journal article
- DOI
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10.1109/TAFFC.2019.2902091
- Title of journal
- IEEE Transactions on Affective Computing
- Article number
- 0
- First page
- 1
- Volume
- 0
- Issue
- 0
- ISSN
- 1949-3045
- Open access status
- Compliant
- Month of publication
- February
- Year of publication
- 2019
- URL
-
-
- Supplementary information
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- Request cross-referral to
- -
- Output has been delayed by COVID-19
- No
- COVID-19 affected output statement
- -
- Forensic science
- No
- Criminology
- No
- Interdisciplinary
- Yes
- Number of additional authors
-
-
- Research group(s)
-
-
- Citation count
- -
- Proposed double-weighted
- No
- Reserve for an output with double weighting
- No
- Additional information
- Best Paper Nominee:-Premier international conference for interdisciplinary research on the design of systems that can recognise, interpret, and simulate human emotions and related affective phenomena. Contribution: Identifying and bridging the gap between affective content analysis and induced emotion prediction.
- Author contribution statement
- -
- Non-English
- No
- English abstract
- -