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ArticleAnalysis of physiological for emotion recognition with the IRS model

Chao Li2015

Article2015

Analysis of physiological for emotion recognition with the IRS model

Chao Li · Chao Xu · Zhiyong Feng

78 citations·0/0 files stored·Neurocomputing

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Emotion and Mood Recognition Heart Rate Variability and Autonomic Control Biometric Identification and Security

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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 2001Toward machine emotional intelligence: analysis of affective physiological state 1999International Affective Picture System (IAPS): Instruction Manual and Affective Ratings (Tech. Rep. No. A-4)2008Emotion recognition based on physiological changes in music listening 2003Hidden Markov model-based speech emotion recognition 2005From Physiological Signals to Emotions: Implementing and Comparing Selected Methods for Feature Extraction and Classification 2004Psychophysiological approaches to the evaluation of psychotherapeutic process and outcome.

Cited by

2018Emotional expression in psychiatric conditions: New technology for clinicians 2020Emotion Recognition Using Convolutional Neural Network with Selected Statistical Photoplethysmogram Features 2018Recognition of Emotions Using Multichannel EEG Data and DBN-GC-Based Ensemble Deep Learning Framework 2020Emotion Recognition From Multi-Channel EEG Signals by Exploiting the Deep Belief-Conditional Random Field Framework

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Details

Year2015

Typearticle

Published2015-11-06

VenueNeurocomputing

ISSN-L0925-2312

Languageen

Citations78

Files0 public / 0

ShelfEmotion and Mood Recognition

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doi10.1016/j.neucom.2015.07.112

openalex_workW2109949839

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2018

Toward User-Independent Emotion Recognition Using Physiological Signals

2020DEAR-MULSEMEDIA: Dataset for emotion analysis and recognition in response to multiple sensorial media

2017A real-time stress classification system based on arousal analysis of the nervous system by an F-state machine