Emotion Recognition Implementation with Multimodalities of Face, Voice and EEG-Reference-Cited by-同舟云学术

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Emotion Recognition Implementation with Multimodalities of Face, Voice and EEG

Published:2022-09-30 Issue:3 Volume:20 Page:174-180
ISSN:2234-8883
Container-title:Journal of information and communication convergence engineering
language:en
Short-container-title:JICCE

Author:

Udurume Miracle¹^ORCID,Caliwag Angela¹,Lim Wansu¹^ORCID,Kim Gwigon²^ORCID

Affiliation:

1. Department of Aeronautics Mechanical and Electronic Convergence Engineering, Kumoh National Institute of Technology, Gumi 39177, Republic of Korea

2. Department of Business Administration, Kumoh National Institute of Technology, Gumi 39177, Republic of Korea

Publisher

Korea Institute of Information and Communication Engineering

Link

http://pdf.medrang.co.kr/JICCE/2022/020/JICCE020-03-174.pdf

Reference17 articles.

1. Speech emotion recognition using deep 1D & 2D CNN LSTM networks

2. M. Liu, and J. Tang, Audio and video bimodal emotion recognition in social networks based on improved alexnet network and attention mechanism, Journal of Information Processing Systems, vol. 17, pp. 754-771, Aug., 2021. DOI: 10.3745/JIPS.02.0161.

3. Deep Learning Based Data Fusion Methods for Multimodal Emotion Recognition

4. Real-Time Nonintrusive Monitoring and Prediction of Driver Fatigue

5. Adaptive gait detection based on foot-mounted inertial sensors and multi-sensor fusion

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