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EEG-Based Emotion Recognition Using Different Neural Network and Pattern Recognition Techniques – A Review

Y. M. Rajput1 , S. Abdul Hannan2 , M. Eid Alzahrani3 , Ramesh R. Manza4 , Dnyaneshwari D. Patil5

Section:Review Paper, Product Type: Journal Paper
Volume-7 , Issue-1 , Page no. 615-618, Jan-2019

CrossRef-DOI:   https://doi.org/10.26438/ijcse/v7i1.615618

Online published on Jan 31, 2019

Copyright © Y. M. Rajput, S. Abdul Hannan, M. Eid Alzahrani, Ramesh R. Manza, Dnyaneshwari D. Patil . This is an open access article distributed under the Creative Commons Attribution License, which permits unrestricted use, distribution, and reproduction in any medium, provided the original work is properly cited.

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IEEE Style Citation: Y. M. Rajput, S. Abdul Hannan, M. Eid Alzahrani, Ramesh R. Manza, Dnyaneshwari D. Patil, “EEG-Based Emotion Recognition Using Different Neural Network and Pattern Recognition Techniques – A Review,” International Journal of Computer Sciences and Engineering, Vol.7, Issue.1, pp.615-618, 2019.

MLA Style Citation: Y. M. Rajput, S. Abdul Hannan, M. Eid Alzahrani, Ramesh R. Manza, Dnyaneshwari D. Patil "EEG-Based Emotion Recognition Using Different Neural Network and Pattern Recognition Techniques – A Review." International Journal of Computer Sciences and Engineering 7.1 (2019): 615-618.

APA Style Citation: Y. M. Rajput, S. Abdul Hannan, M. Eid Alzahrani, Ramesh R. Manza, Dnyaneshwari D. Patil, (2019). EEG-Based Emotion Recognition Using Different Neural Network and Pattern Recognition Techniques – A Review. International Journal of Computer Sciences and Engineering, 7(1), 615-618.

BibTex Style Citation:
@article{Rajput_2019,
author = {Y. M. Rajput, S. Abdul Hannan, M. Eid Alzahrani, Ramesh R. Manza, Dnyaneshwari D. Patil},
title = {EEG-Based Emotion Recognition Using Different Neural Network and Pattern Recognition Techniques – A Review},
journal = {International Journal of Computer Sciences and Engineering},
issue_date = {1 2019},
volume = {7},
Issue = {1},
month = {1},
year = {2019},
issn = {2347-2693},
pages = {615-618},
url = {https://www.ijcseonline.org/full_paper_view.php?paper_id=3554},
doi = {https://doi.org/10.26438/ijcse/v7i1.615618}
publisher = {IJCSE, Indore, INDIA},
}

RIS Style Citation:
TY - JOUR
DO = {https://doi.org/10.26438/ijcse/v7i1.615618}
UR - https://www.ijcseonline.org/full_paper_view.php?paper_id=3554
TI - EEG-Based Emotion Recognition Using Different Neural Network and Pattern Recognition Techniques – A Review
T2 - International Journal of Computer Sciences and Engineering
AU - Y. M. Rajput, S. Abdul Hannan, M. Eid Alzahrani, Ramesh R. Manza, Dnyaneshwari D. Patil
PY - 2019
DA - 2019/01/31
PB - IJCSE, Indore, INDIA
SP - 615-618
IS - 1
VL - 7
SN - 2347-2693
ER -

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Abstract

Emotion recognition is a critical problem in Human-Computer Interaction. Numerous techniques were useful to enhance the strength of the emotion recognition systems using electroencephalogram (EEG) signals particularly the problem of spatiotemporal features. Automatic emotion recognition founded on EEG signals has received increasing attention in current years. The human being is blessed inquisitiveness has always wondered how to make machines feel, and, at the same time how a machine can detect emotions. In this paper, we elaborated the difference emotion recognition techniques. An automatic approach to address the emotion recognition problem of EEG signals using fused ResNet-50 and LFCC features and several classifiers. Performance of proposed approach with 10fold cross validation and LOO cross validation. Results show that the model is effective for emotion classification. KNN achieves the best performance in dissimilar classifiers.

Key-Words / Index Term

EEG, CNN, Pattern Recognition

References

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