Shallow And Deep Learning In Footstep Recognition: A Survey

Ayman Iskandar, Marco Alfonse, Mohamed Roushdy, El-Sayed M. El-Horbaty
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引用次数: 2

Abstract

Analyzing gait data is a branch of biomechanics that offers a degree of privacy, low-cost, and effortless objective identification for individuals. Consequently, gait recognition can be used as a replacement for passwords, or as an extra security measure with existing passwords. This paper focuses on surveying footstep recognition, comparing deep learning and shallow learning, and providing an overview of the current state of footstep recognition. It might be useful to both professionals and beginners in this field of research.
浅学习与深度学习在脚步识别中的应用综述
步态数据分析是生物力学的一个分支,它为个人提供了一定程度的隐私、低成本和轻松的客观识别。因此,步态识别可以作为密码的替代品,或者作为现有密码的额外安全措施。本文主要对足迹识别进行了研究,对深度学习和浅学习进行了比较,并对足迹识别的现状进行了概述。它可能对这个研究领域的专业人士和初学者都有用。
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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