identity recognition using biological electroencephalogram sensors

Clicks: 105
ID: 131202
2016
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Ranked #170 of 205 articles by views in BMC infectious diseases

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Abstract
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.
Reference Key
liang2016journalidentity Use this key to autocite in the manuscript while using SciMatic Manuscript Manager or Thesis Manager
Authors ;Wei Liang;Liang Cheng;Mingdong Tang
Journal BMC infectious diseases
Year 2016
DOI
10.1155/2016/1831742
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