基于深度学习的步态分析生物特征识别

Jaychand Upadhyay, R. Paranjpe, H. Purohit, Rohan P. Joshi
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引用次数: 1

摘要

一般来说,生物识别认证已经在人类特征上实现,如语音、指纹、虹膜扫描和面部识别bb0。人类可以根据他们之前的学习经验,根据他们的行走模式来识别其他人[1]。人的这种行走方式被称为步态[1]。这种步态可以用于人的生物识别认证。该系统在某种程度上意味着它专注于简单的使用、效用和可度量性[1]。该项目可用于为安全目的需要准确识别人员的设施。
本文章由计算机程序翻译,如有差异,请以英文原文为准。
Biometric Identification using Gait Analysis by Deep Learning
Generally, biometric authentication has been implemented on human features like voice,fingerprint,iris scan, and facial recognition [1]. Humans can recognize other people based on their walking pattern based on their previous learning experience [1]. This walking pattern of the person is termed GAIT [1]. This GAIT can be used for biometric authentication of a person [1]. The system is meant in such some way that it focuses on simple usage, utility, and measurability [1]. The project can be used in facilities which require accurate identification of a person for security purpose.
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