Physiological Signal-Based Real-Time Emotion Recognition Based on Exploiting Mutual Information with Physiologically Common Features
Author:
Affiliation:
1. School of Electrical Engineering, Korea University, Seoul 02841, Republic of Korea
2. Department of Human Intelligence and Robot Engineering, Sangmyung University, Cheonan 31066, Republic of Korea
Abstract
Funder
National Research Foundation of Korea
Publisher
MDPI AG
Subject
Electrical and Electronic Engineering,Computer Networks and Communications,Hardware and Architecture,Signal Processing,Control and Systems Engineering
Link
https://www.mdpi.com/2079-9292/12/13/2933/pdf
Reference40 articles.
1. Ali, M., Mosa, A.H., Al Machot, F., and Kyamakya, K. (2018). Recent Advances in Nonlinear Dynamics and Synchronization, Springer.
2. A Study on Emotion Classification utilizing Bio-Signal (PPG, GSR, RESP);Sim;Adv. Sci. Technol. Lett.,2015
3. Electroencephalogram-based emotion assessment system using ontology and data mining techniques;Chen;Appl. Soft Comput.,2015
4. Shu, L., Xie, J., Yang, M., Li, Z., Li, Z., Liao, D., Xu, X., and Yang, X. (2018). A review of emotion recognition using physiological signals. Sensors, 18.
5. Human emotion recognition from EEG-based brain–computer interface using machine learning: A comprehensive review;Houssein;Neural Comput. Appl.,2022
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