一个基于骨架和手势的用户认证系统

2015 8th International Conference on Ubi-Media Computing (UMEDIA) Pub Date : 2015-08-01 DOI:10.1109/UMEDIA.2015.7297464

Hsueh-Fan Lee, Yi-Shu Lu, Jiun-Long Huang, Chih-Lin Hu

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引用次数: 1

摘要

在本文中，我们提出了一种基于骨骼和手势的深度相机用户认证系统。当用户想要注册时，我们的系统将捕获用户的骨架和手势信息并将其存储到数据库中。当对用户进行身份验证时，我们的系统将捕获用户的骨架和手势信息，并将其与存储在数据库中的数据进行比较。实验结果表明，将骨架信息与行为信息结合使用，能够提高用户认证的准确性。

本文章由计算机程序翻译，如有差异，请以英文原文为准。

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A skeleton and gesture based user authentication system

In this paper, we propose a skeleton and gesture-based user authentication system using depth cameras. When a user would like to register, our system will capture a user's skeleton and gesture information and store it into the database. When authenticating a user, our system will capture the user's skeleton and gesture information and compare it with the data stored in the database. Experimental results show that the combined use of skeleton and behavioral information is able to improve the accuracy of user authentication.

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2015 8th International Conference on Ubi-Media Computing (UMEDIA)

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