TY - GEN
T1 - An Improved EEG-Based LRCN Emotion Recognition System Using Fuzzy Processing on ECG and PPG Features
AU - Wan, Meng Ting
AU - Chen, Yi Kai
AU - Fang, Wai-Chi
N1 - Publisher Copyright:
© 2021 IEEE.
PY - 2021
Y1 - 2021
N2 - In this paper, we proposed an improved 3 classes emotion classification system based on a Long-Term Recurrent Convolutional Network (LRCN) model using Electroencephalogram (EEG) signals, reinforced with a fuzzification process on extracted Electrocardiogram (ECG) and Photoplethysmogram (PPG) features. Although a good average accuracy can be achieved at 75%, the accuracy for some specific subjects remained very poor, mostly caused by a low correlation between EEG signal and emotion in a particular subject, or by a lowquality EEG signal recording. The fuzzification process on extra physiological signals was added for EEG-based LRCN to improve the total average accuracy by 8% and correct some low correlated EEG signals and emotions for certain subjects.
AB - In this paper, we proposed an improved 3 classes emotion classification system based on a Long-Term Recurrent Convolutional Network (LRCN) model using Electroencephalogram (EEG) signals, reinforced with a fuzzification process on extracted Electrocardiogram (ECG) and Photoplethysmogram (PPG) features. Although a good average accuracy can be achieved at 75%, the accuracy for some specific subjects remained very poor, mostly caused by a low correlation between EEG signal and emotion in a particular subject, or by a lowquality EEG signal recording. The fuzzification process on extra physiological signals was added for EEG-based LRCN to improve the total average accuracy by 8% and correct some low correlated EEG signals and emotions for certain subjects.
UR - http://www.scopus.com/inward/record.url?scp=85123058001&partnerID=8YFLogxK
U2 - 10.1109/ICCE-TW52618.2021.9603068
DO - 10.1109/ICCE-TW52618.2021.9603068
M3 - Conference contribution
AN - SCOPUS:85123058001
T3 - 2021 IEEE International Conference on Consumer Electronics-Taiwan, ICCE-TW 2021
BT - 2021 IEEE International Conference on Consumer Electronics-Taiwan, ICCE-TW 2021
PB - Institute of Electrical and Electronics Engineers Inc.
T2 - 8th IEEE International Conference on Consumer Electronics-Taiwan, ICCE-TW 2021
Y2 - 15 September 2021 through 17 September 2021
ER -