Identity Recognition Using Biological Electroencephalogram Sensors

Joint Authors

Cheng, Liang
Tang, Mingdong
Liang, Wei

Source

Journal of Sensors

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

Civil Engineering

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