Emotion recognition using multi-modal data and machine learning techniques: A tutorial and review

Jianhua Zhang; Zhong Yin; Peng Chen; Stefano Nichele

doi:10.1016/j.inffus.2020.01.011

ScienceGate Book Chapters

JOURNAL ARTICLE

Emotion recognition using multi-modal data and machine learning techniques: A tutorial and review

Jianhua Zhang Zhong Yin Peng Chen Stefano Nichele

Year: 2020 Journal: Information Fusion Vol: 59 Pages: 103-126 Publisher: Elsevier BV

DOI: 10.1016/j.inffus.2020.01.011

Get Full-Text PDF Get Analytical Report

Keywords:

Computer science Support vector machine Artificial intelligence Emotion classification Electroencephalography Pattern recognition (psychology) Speech recognition Random forest Emotion recognition Feature extraction Affective computing Machine learning Psychology

Metrics

725

Cited By

46.70

FWCI (Field Weighted Citation Impact)

249

Refs

1.00

Citation Normalized Percentile

Is in top 1%

Is in top 10%

Citation History

Topics

EEG and Brain-Computer Interfaces

Life Sciences → Neuroscience → Cognitive Neuroscience

Emotion and Mood Recognition

Social Sciences → Psychology → Experimental and Cognitive Psychology

Blind Source Separation Techniques

Physical Sciences → Computer Science → Signal Processing

Emotion recognition using multi-modal data and machine learning techniques: A tutorial and review

Metrics

Citation History

Topics

Related Documents

Emotion Recognition using multi-modal data and self-supervised learning techniques

Real-Time Driver Monitoring using Multi-Modal Emotion Recognition using Machine Learning

Real-Time Driver Monitoring using Multi-Modal Emotion Recognition using Machine Learning

Speech Emotion Recognition Using Machine Learning Techniques

Speech Emotion Recognition Using Machine Learning Techniques