基于智能手表的转录生物识别技术

Francesco Ciuffo, Gary M. Weiss
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引用次数: 11

摘要

笔迹分析和基于个人打字模式的人的识别是生物识别领域的重要研究方向。现代社会对用户身份验证的需求日益增长,这凸显了对更智能、更自动化的安全协议的需求。这项研究的目的是探索使用相对便宜的商业智能手表作为基于转录的生物识别技术的可靠平台的可行性。这项研究表明,仅使用智能手表就可以准确识别执行转录任务(即手写句子,在键盘上打字等)的个人。
本文章由计算机程序翻译,如有差异,请以英文原文为准。
Smartwatch-based transcription biometrics
Handwriting analysis and the identification of people based on individual typing patterns are of great interest in the field of biometrics. The increasing need for user authentication in our modern society has underscored the need for smarter and more automated security protocols. The goal of this research is to explore the feasibility of using relatively inexpensive commercial smartwatches as a reliable platform for transcription-based biometrics. This study demonstrates that it is possible to accurately identify individuals performing transcription tasks (i.e. handwriting sentences, typing on a keyboard, etc.) using only a smartwatch.
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