EEG-based emotion recognition with cascaded convolutional recurrent neural networks
Author:
Funder
national natural science foundation of china
Publisher
Springer Science and Business Media LLC
Subject
Artificial Intelligence,Computer Vision and Pattern Recognition
Link
https://link.springer.com/content/pdf/10.1007/s10044-023-01136-0.pdf
Reference30 articles.
1. Li M, Xu H, Liu X, Lu S (2018) Emotion recognition from multi channel EEG signals using K-nearest neighbor classification. Technol Health Care 26:509–519
2. Lin S, Xie J, Yang M, Li Z, Yang X (2018) A review of emotion recognition using physiological signals. Sensors 18(7):2074
3. Dzedzickis A, Kaklauskas A, Bucinskas V (2020) Human emotion recognition: review of sensors and methods. Sensors 20(3):592
4. Velchev, Y, Radeva S, Sokolov S, Radev D (2016) Automated estimation of human emotion from EEG using statistical features and SVM. In: Digital media industry and academic forum. Santorini, Greece, pp 40–42
5. Wu CH, Kuo B C, Tzeng G H (2015) Investigation of time interval size effect on SVM model in emotion norm database. In: Asian conference on intelliegent information and database systems, vol 8, pp 121–128
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