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 |