Cognitive task classificaiton from wireless EEG

Keywords

• Support vector machine
• mathematical problem solving
• wireless EEG
• video viewing
• cognitive task classification
• Dimensionality reduction
• Discrete wavelet transform
• kernel principal component analysis
• brain-computer interface

CCDS Authors

Prof. M Ashraful Amin, PhD

Prof. M Ashraful Amin, PhD

• Founder Director, CCDS
• Director, AI/ML, HCI & DS Wings

Professor

+1 more affiliation

Department of Information Sciences and Technology

George Mason University, USA

Published at

ACL, CHI, UbiComp, ECAI, WACV, PAKDD, IJCNN, ICPR, ICIP, HCII, CLEF, BLP, Scientific Reports, JMIR, IEEE Access, Smart Agricultural Technology, Frontiers in Computational Neuroscience, Diabetes Research and Clinical Practice, PLOS ONE

Research Interests

Machine Learning, Cognitive & Vision Science, Cybernetics, Surveillance & Security, ICT in Education, Health, & Agriculture, Human-Computer Interaction, Internet of Things, Robotics

References

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Cited By

1. 1.Caglar Uyulan, Turker Tekin Erguzel. (2017). Analysis of Time – Frequency EEG Feature Extraction Methods for Mental Task Classification. International Journal of Computational Intelligence Systems, 10(1), 1280[10.2991/ijcis.10.1.87]
2. 2.Suneth Pathirana, David Asirvatham, Gapar Johar. (2018). A Critical Evaluation on Low-Cost Consumer-Grade Electroencephalographic Devices. , 160–165[10.1109/icbaps.2018.8527413]
3. 3.Jiadao Zou, Qingxue Zhang. (2022). eyeSay: Brain Visual Dynamics Decoding With Deep Learning & Edge Computing. IEEE Transactions on Neural Systems and Rehabilitation Engineering, 30, 2217–2224[10.1109/tnsre.2022.3193714]
4. 4.Aunnoy K Mutasim, Rayhan Sardar Tipu, M. Raihanul Bashar, Md. Kafiul Islam, M. Ashraful Amin. (2018). Computational Intelligence for Pattern Recognition in EEG Signals. Studies in computational intelligence, 291–320[10.1007/978-3-319-89629-8_11]
5. 5.Aunnoy K Mutasim, Rayhan Sardar Tipu, M. Raihanul Bashar, M. Ashraful Amin. (2017). Video Category Classification Using Wireless EEG. Lecture notes in computer science, 39–48[10.1007/978-3-319-70772-3_4]
6. 6.Aunnoy K. Mutasim, M. Raihanul Bashar, Rayhan Sardar Tipu, Md. Kafiul Islam, M. Ashraful Amin. (2018). Effect of Artefact Removal Techniques on EEG Signals for Video Category Classification. , 9250, 3513–3518[10.1109/icpr.2018.8545416]
7. 7.Suneth Pathirana, David Asirvatham, Md Gapar Md Johar. (2018). A Multi-Agent System for Improving Electroencephalographic Data Classification Accuracy. , 1–6[10.1109/r10-htc.2018.8629860]
8. 8.Gui Li, Fan Liu, Cheng Wu, Yuan Yao, Guangxin Wu, Zhu Wang, Yanchun Zhang. (2023). C-MWCAR: Classification Based on Multiple Weighted Class Association Rules. Applied Sciences, 13(14), 8082[10.3390/app13148082]
9. 9.Mohammad Raihanul Bashar, Rayhan Sardar Tipu, Aunnoy K. Mutasim, M. Ashraful Amin. (2017). Effect of EMG artifacts on video category classification from EEG. , 1–4[10.1109/iciev.2017.8338603]