WiFi-vision enabled identification via multi-modal gait recognition

WiFi-vision enabled identification via multi-modal gait recognition

This paper proposes GaitFi, a novel multi-modal gait recognition method, which uses WiFi signals and videos for human identification.

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Bibliographic Details
Main Author:	Deng, Lang
Other Authors:	Xie Lihua
Format:	Thesis-Master by Coursework
Language:	English
Published:	Nanyang Technological University 2022
Subjects:	Engineering::Electrical and electronic engineering::Computer hardware, software and systems Engineering::Electrical and electronic engineering::Electronic systems::Signal processing
Online Access:	https://hdl.handle.net/10356/159528
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Institution:	Nanyang Technological University
Language:	English

Description
Summary:	This paper proposes GaitFi, a novel multi-modal gait recognition method, which uses WiFi signals and videos for human identification.