標題: Challenges and Future Perspectives on Electroencephalogram-Based Biometrics in Person Recognition
作者: Chan, Hui-Ling
Kuo, Po-Chih
Cheng, Chia-Yi
Chen, Yong-Sheng
交大名義發表
分子醫學與生物工程研究所
資訊工程學系
National Chiao Tung University
Institute of Molecular Medicine and Bioengineering
Department of Computer Science
關鍵字: electroencephalography (EEG);biometrics;person recognition;person authentication;person identification
公開日期: 9-十月-2018
摘要: The emergence of the digital world has greatly increased the number of accounts and passwords that users must remember. It has also increased the need for secure access to personal information in the cloud. Biometrics is one approach to person recognition, which can be used in identification as well as authentication. Among the various modalities that have been developed, electroencephalography (EEG)-based biometrics features unparalleled universality, distinctiveness and collectability, while minimizing the risk of circumvention. However, commercializing EEG-based person recognition poses a number of challenges. This article reviews the various systems proposed over the past few years with a focus on the shortcomings that have prevented wide-scale implementation, including issues pertaining to temporal stability, psychological and physiological changes, protocol design, equipment and performance evaluation. We also examine several directions for the further development of usable EEG-based recognition systems as well as the niche markets to which they could be applied. It is expected that rapid advancements in EEG instrumentation, on-device processing and machine learning techniques will lead to the emergence of commercialized person recognition systems in the near future.
URI: http://dx.doi.org/10.3389/fninf.2018.00066
http://hdl.handle.net/11536/148269
ISSN: 1662-5196
DOI: 10.3389/fninf.2018.00066
期刊: FRONTIERS IN NEUROINFORMATICS
Volume: 12
顯示於類別:期刊論文