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ArticleSVM-based feature selection methods for emotion recognition from multimodal data

Cristian A. Torres-Valencia2016

Article2016

SVM-based feature selection methods for emotion recognition from multimodal data

Cristian A. Torres-Valencia · Mauricio A. Álvarez · Alvaro Angel Orozco

57 citations·0/0 files stored·Journal on Multimodal User Interfaces

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Emotion and Mood Recognition Face and Expression Recognition Gaze Tracking and Assistive Technology

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References

2011DEAP: A Database for Emotion Analysis ;Using Physiological Signals 2008A Survey of Affect Recognition Methods: Audio, Visual, and Spontaneous Expressions 2011A Multimodal Database for Affect Recognition and Implicit Tagging 2011Multimodal Emotion Recognition in Response to Videos 2011Continuous Prediction of Spontaneous Affect from Multiple Cues and Modalities in Valence-Arousal Space 2011The Role of Nonlinear Dynamics in Affective Valence and Arousal Recognition 2012Fusion of facial expressions and EEG for implicit affective tagging 2012Ensemble of SVM trees for multimodal emotion recognition

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2022Emotion recognition based on multi-modal physiological signals and transfer learning 2020FusionSense: Emotion Classification Using Feature Fusion of Multimodal Data and Deep Learning in a Brain-Inspired Spiking Neural Network 2021Trends of Multimodal Neural Engineering Study: A Bibliometric Review

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Details

Year2016

Typearticle

Published2016-05-23

VenueJournal on Multimodal User Interfaces

ISSN-L1783-7677

Languageen

Citations57

Files0 public / 0

ShelfEmotion and Mood Recognition

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doi10.1007/s12193-016-0222-y

openalex_workW2400745442

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