The DOI matches its Crossref record; 11 of the 11 references it cites were found in a registry or an index.
Emotion representation, analysis and synthesis in continuous space: A survey
Open accessAbstract
Despite major advances within the affective computing research field, modelling, analysing, interpreting and responding to naturalistic human affective behaviour still remains as a challenge for automated systems as emotions are complex constructs with fuzzy boundaries and with substantial individual variations in expression and experience. Thus, a small number of discrete categories (e.g., happiness and sadness) may not reflect the subtlety and complexity of the affective states conveyed by such rich sources of information. Therefore, affective and behavioural computing researchers have recently invested increased effort in exploring how to best model, analyse, interpret and respond to the subtlety, complexity and continuity (represented along a continuum e.g., from -1 to +1) of affective behaviour in terms of latent dimensions (e.g., arousal, power and valence) and appraisals. Accordingly, this paper aims to present the current state of the art and the new challenges in automatic, dimensional and continuous analysis and synthesis of human emotional behaviour in an interdisciplinary perspective.
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Cites
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BackgroundMethodInfluentialSelf-citation
Cited by
Facial Expression Analysis under Partial Occlusion: A Survey
Zhang, L., Verma, B., Tjondronegoro, D., & Chandran, V. (2019) · ACM Computing Surveys · doi:10.1145/3158369 · Cited by 1,258
Emotions Recognition Using EEG Signals: A Survey
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Text‐based emotion detection: Advances, challenges, and opportunities
Acheampong, F. A., Wenyu, C., & Nunoo‐Mensah, H. (2020) · Engineering Reports · doi:10.1002/eng2.12189 · Cited by 367
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Self-citationMeta-Analysis of the First Facial Expression Recognition Challenge
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Metadata
- Authors
- Gunes, H., Schuller, B., Pantic, M., & Cowie, R.
- Venue
- Face and Gesture 2011
- Publisher
- IEEE
- Published
- 2011-03
- Pages
- 827-834
- OpenAlex
- W2169166781
- Cited by
- 322
- References
- 11
- FWCI
- 41.91
- Type
- conference paper
- Language
- en
- Open access
- green
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