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首页> 美国卫生研究院文献>Frontiers in Neuroinformatics >Challenges and Future Perspectives on Electroencephalogram-Based Biometrics in Person Recognition
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Challenges and Future Perspectives on Electroencephalogram-Based Biometrics in Person Recognition

机译：基于脑电图的生物识别技术在人类识别中的挑战和未来展望

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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.
机译：数字世界的出现极大地增加了用户必须记住的帐户和密码的数量。它还增加了对安全访问云中个人信息的需求。生物识别技术是一种识别人的方法，可用于识别和身份验证。在已开发的各种模式中，基于脑电图（EEG）的生物识别技术具有无与伦比的通用性，独特性和可收集性，同时最大程度地降低了规避风险的可能性。然而，基于EEG的人识别的商业化提出了许多挑战。本文回顾了过去几年提出的各种系统，着重介绍了妨碍大规模实施的缺点，包括与时间稳定性，心理和生理变化，方案设计，设备和性能评估有关的问题。我们还研究了进一步发展基于EEG的可用识别系统以及可以应用这些市场的利基市场的几个方向。预计在不久的将来，EEG仪器，设备处理和机器学习技术的快速发展将导致商业化的人识别系统的出现。

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