Identity Recognition Using Biological Electroencephalogram Sensors
Joint Authors
Cheng, Liang
Tang, Mingdong
Liang, Wei
Source
Issue
Vol. 2016, Issue 2016 (31 Dec. 2016), pp.1-9, 9 p.
Publisher
Hindawi Publishing Corporation
Publication Date
2016-10-31
Country of Publication
Egypt
No. of Pages
9
Main Subjects
Abstract EN
Brain wave signal is a bioelectric phenomenon reflecting activities in human brain.
In this paper, we firstly introduce brain wave-based identity recognition techniques and the state-of-the-art work.
We then analyze important features of brain wave and present challenges confronted by its applications.
Further, we evaluate the security and practicality of using brain wave in identity recognition and anticounterfeiting authentication and describe use cases of several machine learning methods in brain wave signal processing.
Afterwards, we survey the critical issues of characteristic extraction, classification, and selection involved in brain wave signal processing.
Finally, we propose several brain wave-based identity recognition techniques for further studies and conclude this paper.
American Psychological Association (APA)
Liang, Wei& Cheng, Liang& Tang, Mingdong. 2016. Identity Recognition Using Biological Electroencephalogram Sensors. Journal of Sensors،Vol. 2016, no. 2016, pp.1-9.
https://search.emarefa.net/detail/BIM-1110345
Modern Language Association (MLA)
Liang, Wei…[et al.]. Identity Recognition Using Biological Electroencephalogram Sensors. Journal of Sensors No. 2016 (2016), pp.1-9.
https://search.emarefa.net/detail/BIM-1110345
American Medical Association (AMA)
Liang, Wei& Cheng, Liang& Tang, Mingdong. Identity Recognition Using Biological Electroencephalogram Sensors. Journal of Sensors. 2016. Vol. 2016, no. 2016, pp.1-9.
https://search.emarefa.net/detail/BIM-1110345
Data Type
Journal Articles
Language
English
Notes
Includes bibliographical references
Record ID
BIM-1110345