A Machine Learning Model to Recognise Human Emotions using Electroencephalogram-Reference-Cited by-同舟云学术

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A Machine Learning Model to Recognise Human Emotions using Electroencephalogram

Published:2021-12-17 Issue: Volume: Page:
ISSN:
Container-title:2021 5th International Conference on Electrical Information and Communication Technology (EICT)
language:
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Author:

Roy Nipa¹,Aktar Sakifa¹,Ahamad Md. Martuza¹,Moni Mohammad Ali²

Affiliation:

1. Bangabandhu Sheikh Mujibur Rahman Science and Technology University,Department of Computer Science & Engineering,Gopalganj,Bangladesh

2. The University of Queensland,School of Health and Rehabilitation Sciences Faculty of Health and Behavioural Sciences,Australia

Publisher

IEEE

Link

http://xplorestaging.ieee.org/ielx7/9733402/9733430/09733675.pdf?arnumber=9733675

Reference14 articles.

1. EEG brainwave dataset-Mental State,0

2. Light Gradient Boosting Machine for General Sentiment Classification on Short Texts: A Comparative Evaluation

3. Z-AdaBoost: Boosting 2-Thresholded Weak Classifiers for Object Detection

4. Probabilistic human daily activity recognition towards robot-assisted living

5. A Probabilistic Interpretation of Precision, Recall and F-Score, with Implication for Evaluation

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3. Review of EEG Signals Classification Using Machine Learning and Deep-Learning Techniques;Advances in Non-Invasive Biomedical Signal Sensing and Processing with Machine Learning;2023

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