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Evidence Theory-Based Multimodal Emotion Recognition · Study

WorkEvidence Theory-Based Multimodal Emotion Recognition

Marco Paleari2009

Work2009

Evidence Theory-Based Multimodal Emotion Recognition

Marco Paleari · Rachid Benmokhtar · Benoît Huet

36 citations·0/0 files stored·Lecture notes in computer science

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Emotion and Mood Recognition Speech and Audio Processing Face and Expression Recognition

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References

2011Praat: Doing Phonetics by Computer 1997Affective Computing 2004Analysis of emotion recognition using facial expressions, speech and multimodal information 2003Toward an affect-sensitive multimodal human-computer interaction 2006The eNTERFACE’05 Audio-Visual Emotion Database 2004Using Noninvasive Wearable Computers to Recognize Human Emotions from Physiological Signals 2006Bi-modal emotion recognition from expressive face and body gestures 2000Emotion Recognition from Facial Expressions using Multilevel HMM

Cited by

2019Conversational Emotion Analysis via Attention Mechanisms 2015Emotion recognition from physiological signals using fusion of wavelet based features 2010Multi-modal Emotion Recognition Using Canonical Correlations and Acoustic Features 2010Features for multimodal emotion recognition: An extensive study

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Papers that cite the same references — the relational fallback while embeddings are still backfilling.

2013Machines Outperform Laypersons in Recognizing Emotions Elicited by Autobiographical Recollectionarticle · 6 shared references 2010Features for multimodal emotion recognition: An extensive studyother · 6 shared references 2006Audio-visual emotion recognition in adult attachment interviewother · 5 shared references 2009Multimodal user’s affective state analysis in naturalistic interactionarticle · 5 shared references 2008Emotion Recognition through Multiple Modalities: Face, Body Gesture, Speechother · 4 shared references 2007Multimodal emotion recognition from expressive faces, body gestures and speechother · 4 shared references

Details

Year2009

Typeother

Published2009-01-01

VenueLecture notes in computer science

ISSN-L0302-9743

Languageen

Citations36

Files0 public / 0

ShelfEmotion and Mood Recognition

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doi10.1007/978-3-540-92892-8_44

openalex_workW2216358276

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