User Biometric Identification Methodology via EEG-Based Motor Imagery Signals
Author:
Affiliation:
1. Advanced Institute of Convergence Technology, Yeongtong-gu, Suwon-si, Gyeonggi-do, Republic of Korea
2. Department of Brain and Cognitive Engineering, Korea University, Seoul, Republic of Korea
Funder
Advanced Institutes of Convergence Technology
Institute of Information and Communications Technology Planning and Evaluation
Korea Government (MSIT)
Publisher
Institute of Electrical and Electronics Engineers (IEEE)
Subject
General Engineering,General Materials Science,General Computer Science,Electrical and Electronic Engineering
Link
http://xplorestaging.ieee.org/ielx7/6287639/10005208/10105200.pdf?arnumber=10105200
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1. E-BIAS
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5. Forehead EEG in Support of Future Feasible Personal Healthcare Solutions: Sleep Management, Headache Prevention, and Depression Treatment
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