The DOI matches its Crossref record; 32 of the 32 references it cites were found in a registry or an index.
Emotion Recognition through Multiple Modalities: Face, Body Gesture, Speech
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Cites
Data Mining: Practical Machine Learning Tools and Techniques
(2011) · Elsevier eBooks · doi:10.1016/c2009-0-19715-5 · Cited by 25,437
Witten, I. H. (2008) · Cited by 9,143
Picard, R. W. (1997) · MIT Press · doi:10.7551/mitpress/1140.001.0001 · Cited by 7,382
Emotion recognition in human-computer interaction
Cowie, R., Douglas-Cowie, E., Tsapatsoulis, N., Votsis, G., Kollias, S., Fellenz, W., & Taylor, J. G. (2001) · IEEE Signal Processing Magazine · doi:10.1109/79.911197 · Cited by 2,603
Toward machine emotional intelligence: analysis of affective physiological state
Picard, R. W., Vyzas, E., & Healey, J. (2001) · IEEE Transactions on Pattern Analysis and Machine Intelligence · doi:10.1109/34.954607 · Cited by 2,334
Automatic analysis of facial expressions: the state of the art
Pantie, M., & Rothkrantz, L. J. M. (2000) · IEEE Transactions on Pattern Analysis and Machine Intelligence · doi:10.1109/34.895976 · Cited by 1,778 · cited 2×
“Facial expressions [12] [13], vocal features [14] [15], body movements and postures [16] [17] [18], physiological signals [19] have been used as inputs during these attempts, while multimodal emotion recognition is currently gaining ground [20] [21] [22].”
BackgroundMethodAcoustic profiles in vocal emotion expression
Banse, R., & Scherer, K. R. (1996) · Journal of Personality and Social Psychology · doi:10.1037/0022-3514.70.3.614 · Cited by 1,546
Handbook of Pattern Recognition and Computer Vision
Chen, C. H., & Wang, P. S. P. (2005) · WORLD SCIENTIFIC eBooks · doi:10.1142/5711 · Cited by 968
Analysis of emotion recognition using facial expressions, speech and multimodal information
Busso, C., Deng, Z., Yildirim, S., Bulut, M., Lee, C. M., Kazemzadeh, A., Lee, S., Neumann, U., & Narayanan, S. (2004) · Proceedings of the 6th international conference on Multimodal interfaces · doi:10.1145/1027933.1027968 · Cited by 840 · cited 1×
“Facial expressions [12] [13], vocal features [14] [15], body movements and postures [16] [17] [18], physiological signals [19] have been used as inputs during these attempts, while multimodal emotion recognition is currently gaining ground [20] [21] [22].”
MethodToward an affect-sensitive multimodal human-computer interaction
Pantic, M., & Rothkrantz, L. J. M. (2003) · Proceedings of the IEEE · doi:10.1109/jproc.2003.817122 · Cited by 791
Cited by
Multimodal Machine Learning: A Survey and Taxonomy
Baltrusaitis, T., Ahuja, C., & Morency, L.-P. (2019) · IEEE Transactions on Pattern Analysis and Machine Intelligence · doi:10.1109/tpami.2018.2798607 · Cited by 5,018
Affect Detection: An Interdisciplinary Review of Models, Methods, and Their Applications
Calvo, R. A., & D'Mello, S. (2010) · IEEE Transactions on Affective Computing · doi:10.1109/t-affc.2010.1 · Cited by 1,893
A review of affective computing: From unimodal analysis to multimodal fusion
Poria, S., Cambria, E., Bajpai, R., & Hussain, A. (2017) · Information Fusion · doi:10.1016/j.inffus.2017.02.003 · Cited by 1,644
Bota, P. J., Wang, C., Fred, A. L. N., & Placido Da Silva, H. (2019) · IEEE Access · doi:10.1109/access.2019.2944001 · Cited by 322
Complex Dynamical Systems in Social and Personality Psychology: Theory, Modeling, and Analysis
Richardson, M. J., Dale, R., & Marsh, K. L. (2014) · Handbook of Research Methods in Social and Personality Psychology · doi:10.1017/cbo9780511996481.015 · Cited by 104
Metadata
- Authors
- Castellano, G., Kessous, L., & Caridakis, G.
- Venue
- Lecture Notes in Computer Science
- Publisher
- Springer Berlin Heidelberg
- Published
- 2008-08-22
- Pages
- 92-103
- ISSN
- 0302-9743 (ISSN-L)
- 1611-3349
- OpenAlex
- W1555767263
- Cited by
- 259
- References
- 32
- FWCI
- 22.50
- Type
- conference paper
- Language
- en
- Open access
- green
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- Castellano, G., Kessous, L., & Caridakis, G. (2008). Emotion Recognition through Multiple Modalities: Face, Body Gesture, Speech. Lecture Notes in Computer Science. https://doi.org/10.1007/978-3-540-85099-1_8
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Bibliographic data: Semantic Scholar, OpenAlex, Crossref.
Contains information from the Semantic Scholar Academic Graph Datasets, made available under the ODC Attribution License (ODC-BY 1.0).
Semantic Scholar’s data is described in: Kinney, R., et al. (2023). The Semantic Scholar Open Data Platform. arXiv:2301.10140.
