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Paper Title

Emotion Recognition System by Brainwaves

Authors

Dr. Babu N.V. , Mahantesh K , Ms. Akshatha Singh V H , Ms. Aditi Katiyar , Mr. Parichay Dutta Biswas

Keywords

Abstract

The paper explores single and ensemble methods to classify emotional experiences based on EEG brainwave data. A commercial MUSE EEG headband is used with a resolution of four (TP9, AF7, AF8, TP10) electrodes. Positive and negative emotional states are invoked and neutral resting data is also recorded with no stimuli involved.

How To Cite

Choose the style your journal or department asks for, then copy it. Every version below is generated from this paper's own record.

IJRTI — journal style
"Emotion Recognition System by Brainwaves", IJRTI - International Journal for Research Trends and Innovation (www.ijrti.org), ISSN:2456-3315, Vol.7, Issue 7, page no.821 - 825, July-2022, Available :https://ijrti.org/papers/IJRTI2207121.pdf
APA — 7th edition
N.V., B., K, M., H, A. S. V., Katiyar, A., & Biswas, P. D. (2022). Emotion Recognition System by Brainwaves. International Journal for Research Trends and Innovation, 7(7), 821 - 825. https://ijrti.org/viewpaperforall.php?paper=IJRTI2207121
MLA — 9th edition
N.V., Babu, et al. "Emotion Recognition System by Brainwaves." International Journal for Research Trends and Innovation, vol. 7, no. 7, 2022, pp. 821 - 825, https://ijrti.org/viewpaperforall.php?paper=IJRTI2207121.
Chicago — 17th, bibliography
N.V., Babu, et al. "Emotion Recognition System by Brainwaves." International Journal for Research Trends and Innovation 7, no. 7 (2022): 821 - 825. https://ijrti.org/viewpaperforall.php?paper=IJRTI2207121.
Harvard — author–date
N.V., B. et al. (2022) 'Emotion Recognition System by Brainwaves', International Journal for Research Trends and Innovation, 7(7), pp. 821 - 825. Available at: https://ijrti.org/viewpaperforall.php?paper=IJRTI2207121
IEEE — numbered reference
B. N.V., M. K, A. S. V. H, A. Katiyar and P. D. Biswas, "Emotion Recognition System by Brainwaves," IJRTI, vol. 7, no. 7, pp. 821 - 825, Jul. 2022.
Vancouver — biomedical
N.V. B, K M, H ASV, Katiyar A, Biswas PD. Emotion Recognition System by Brainwaves. IJRTI. 2022 Jul;7(7):821 - 825.
AMA — 11th edition
N.V. B, K M, H ASV, Katiyar A, Biswas PD. Emotion Recognition System by Brainwaves. IJRTI. 2022;7(7):821 - 825. Accessed at https://ijrti.org/viewpaperforall.php?paper=IJRTI2207121
BibTeX — Zotero, Mendeley, LaTeX
@article{IJRTI2207121, author = {Babu N.V. and Mahantesh K and Akshatha Singh V H and Aditi Katiyar and Parichay Dutta Biswas}, title = {Emotion Recognition System by Brainwaves}, journal = {International Journal for Research Trends and Innovation}, volume = {7}, number = {7}, pages = {821 - 825}, year = {2022}, month = {July}, issn = {2456-3315}, url = {https://ijrti.org/viewpaperforall.php?paper=IJRTI2207121} }
RIS — EndNote, RefWorks
TY - JOUR AU - N.V., Babu AU - K, Mahantesh AU - H, Akshatha Singh V AU - Katiyar, Aditi AU - Biswas, Parichay Dutta TI - Emotion Recognition System by Brainwaves T2 - International Journal for Research Trends and Innovation JA - IJRTI VL - 7 IS - 7 PY - 2022 SN - 2456-3315 UR - https://ijrti.org/viewpaperforall.php?paper=IJRTI2207121 SP - 821 EP - 825 ER -

Issue

Volume 7 Issue 7, July-2022
Pages : 821 - 825

Other Publication Details

Paper Reg. ID IJRTI_183078
Published Paper ID IJRTI2207121
Downloads 205,641
Research Area Engineering
Country Bengaluru, Karnataka, India
Published July 2022

About Publisher

International Journal for Research Trends and Innovation Published by IJRTI (JW Publication)
2456-3315 ISSN
10.57 Impact Factor
2016 ESTD Year
Open Access
Impact Factor 10.57 calculated by Google Scholar and Semantic Scholar.
An International Scholarly Open Access Journal, Peer-Reviewed, Refereed Journal Impact Factor 10.57 Calculate by Google Scholar and Semantic Scholar | AI-Powered Research Tool, Multidisciplinary, Monthly, Multilanguage Journal Indexing in All Major Database & Metadata, Citation Generator
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Licence

© 2022 — Authors hold the copyright of this article. This work is licensed under a Creative Commons Attribution 4.0 International License and The Open Definition. This article is distributed under the terms of the Creative Commons Attribution 4.0 International License (CC BY 4.0), which permits unrestricted use, distribution and reproduction in any medium, provided the original author and source are credited.
 Disclaimer: The content, data and findings in this article are based on the authors’ research and have been peer-reviewed for academic purposes only. Readers are advised to verify all information before practical or commercial use. The journal and its editorial board are not liable for any errors, losses or consequences arising from its use.

Declarations

Funding

No external funding was received for this study.

Conflict of Interest

The authors declare that they have no conflict of interest.

Acknowledgements

The authors would like to thank the reviewers and the editorial board of International Journal for Research Trends and Innovation for their careful reading and constructive comments, and all colleagues who supported the preparation of this manuscript.

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