Audiovisual emotion recognition using ANOVA feature selection method and multi-classifier neural networks
- 1 November 2012
- journal article
- Published by Springer Science and Business Media LLC in Neural Computing & Applications
- Vol. 24 (2), 399-412
- https://doi.org/10.1007/s00521-012-1228-3
Abstract
No abstract availableThis publication has 31 references indexed in Scilit:
- Emotional states in judicial courtrooms: An experimental investigationSpeech Communication, 2012
- Spoken emotion recognition using hierarchical classifiersComputer Speech & Language, 2011
- Boosting selection of speech related features to improve performance of multi-class SVMs in emotion detectionExpert Systems with Applications, 2009
- A robust multimodal approach for emotion recognitionNeurocomputing, 2008
- Recognition of human actions using motion history information extracted from the compressed videoImage and Vision Computing, 2004
- A Rejection-Based Method for Event Detection in VideoIEEE Transactions on Circuits and Systems for Video Technology, 2004
- The production and recognition of emotions in speech: features and algorithmsInternational Journal of Human-Computer Studies, 2003
- The recognition of human movement using temporal templatesIEEE Transactions on Pattern Analysis and Machine Intelligence, 2001
- Automatic analysis of facial expressions: the state of the artIEEE Transactions on Pattern Analysis and Machine Intelligence, 2000
- Thin slices of expressive behavior as predictors of interpersonal consequences: A meta-analysis.Psychological Bulletin, 1992