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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Online Access: | http://dx.doi.org/10.1155/2016/1831742 |
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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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1725497070928789504 |