Identity Recognition Using Biological Electroencephalogram Sensors

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 applicatio...

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Main Authors: Wei Liang, Liang Cheng, Mingdong Tang
Format: Article
Language:English
Published: Hindawi Limited 2016-01-01
Series:Journal of Sensors
Online Access:http://dx.doi.org/10.1155/2016/1831742
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spelling doaj-61809824d8f742c189ea19d7685c20032020-11-24T23:45:09ZengHindawi LimitedJournal of Sensors1687-725X1687-72682016-01-01201610.1155/2016/18317421831742Identity Recognition Using Biological Electroencephalogram SensorsWei Liang0Liang Cheng1Mingdong Tang2College of Mathematics and Econometrics, Hunan University, Changsha, Hunan 410082, ChinaDepartment of Computer Science and Engineering, Lehigh University, Bethlehem, PA 18015, USASchool of Computer Science and Engineering, Hunan University of Science and Technology, Xiangtan 411201, ChinaBrain 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.http://dx.doi.org/10.1155/2016/1831742
collection DOAJ
language English
format Article
sources DOAJ
author Wei Liang
Liang Cheng
Mingdong Tang
spellingShingle Wei Liang
Liang Cheng
Mingdong Tang
Identity Recognition Using Biological Electroencephalogram Sensors
Journal of Sensors
author_facet Wei Liang
Liang Cheng
Mingdong Tang
author_sort Wei Liang
title Identity Recognition Using Biological Electroencephalogram Sensors
title_short Identity Recognition Using Biological Electroencephalogram Sensors
title_full Identity Recognition Using Biological Electroencephalogram Sensors
title_fullStr Identity Recognition Using Biological Electroencephalogram Sensors
title_full_unstemmed Identity Recognition Using Biological Electroencephalogram Sensors
title_sort identity recognition using biological electroencephalogram sensors
publisher Hindawi Limited
series Journal of Sensors
issn 1687-725X
1687-7268
publishDate 2016-01-01
description 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.
url http://dx.doi.org/10.1155/2016/1831742
work_keys_str_mv AT weiliang identityrecognitionusingbiologicalelectroencephalogramsensors
AT liangcheng identityrecognitionusingbiologicalelectroencephalogramsensors
AT mingdongtang identityrecognitionusingbiologicalelectroencephalogramsensors
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