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Tracking changes in continuous emotion states using body language and prosodic cues.

, , , and . ICASSP, page 2288-2291. IEEE, (2011)

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Human-Habitat for Health (H3): Human-habitat Multimodal Interaction for Promoting Health and Well-being in the Internet of Things Era., , , and . ICMI, page 664-665. ACM, (2018)Iterative Feature Normalization Scheme for Automatic Emotion Detection from Speech., , , and . IEEE Trans. Affect. Comput., 4 (4): 386-397 (2013)The USC CreativeIT database of multimodal dyadic interactions: from speech and full body motion capture to continuous emotional annotations., , , , , and . Lang. Resour. Evaluation, 50 (3): 497-521 (2016)MA-DST: Multi-Attention-Based Scalable Dialog State Tracking., , , , and . AAAI, page 8107-8114. AAAI Press, (2020)Discriminative state tracking for spoken dialog systems., , and . ACL (1), page 466-475. The Association for Computer Linguistics, (2013)Tracking continuous emotional trends of participants during affective dyadic interactions using body language and speech information., , and . Image Vis. Comput., 31 (2): 137-152 (2013)Context-Sensitive Learning for Enhanced Audiovisual Emotion Classification., , , , , and . IEEE Trans. Affect. Comput., 3 (2): 184-198 (2012)Alexa Conversations: An Extensible Data-driven Approach for Building Task-oriented Dialogue Systems., , , , , , , , , and 21 other author(s). NAACL-HLT (Demonstrations), page 125-132. Association for Computational Linguistics, (2021)Interpreting ambiguous emotional expressions., , , , , , and . ACII, page 1-8. IEEE Computer Society, (2009)Visual emotion recognition using compact facial representations and viseme information., , , and . ICASSP, page 2474-2477. IEEE, (2010)