Deep Representation Learning for Multimodal Emotion Recognition Using Physiological Signals-Reference-Cited by-同舟云学术

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Deep Representation Learning for Multimodal Emotion Recognition Using Physiological Signals

Published:2024 Issue: Volume:12 Page:106605-106617
ISSN:2169-3536
Container-title:IEEE Access
language:
Short-container-title:IEEE Access

Author:

Zubair Muhammad¹^ORCID,Woo Sungpil¹^ORCID,Lim Sunhwan¹^ORCID,Yoon Changwoo¹

Affiliation:

1. Electronics and Telecommunications Research Institute (ETRI), Daejeon, South Korea

Funder

National Research Foundation of Korea (NRF) grant

Korea Government

Institute of Information and Communications Technology Planning and Evaluation (IITP) grant

Publisher

Institute of Electrical and Electronics Engineers (IEEE)

Link

http://xplorestaging.ieee.org/ielx8/6287639/10380310/10620287.pdf?arnumber=10620287

Reference54 articles.

1. Autonomic nervous system activity in emotion: A review

2. Facial Emotion Recognition Based on Biorthogonal Wavelet Entropy, Fuzzy Support Vector Machine, and Stratified Cross Validation

3. Learning Salient Features for Speech Emotion Recognition Using Convolutional Neural Networks

4. Speech emotion recognition based on genetic algorithm–decision tree fusion of deep and acoustic features

5. Survey on Emotional Body Gesture Recognition

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