IoT 22(28): e3

Research Article

A survey on gait recognition in IoT applications

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  • @ARTICLE{10.4108/eetiot.v7i28.446,
    author={Wang-Yang Yu and  Shui-Hua Wang and Yu-Dong Zhang},
    title={A survey on gait recognition in IoT applications},
    journal={EAI Endorsed Transactions on Internet of Things},
    volume={7},
    number={28},
    publisher={EAI},
    journal_a={IOT},
    year={2022},
    month={4},
    keywords={Gait recognition, IoT, Pervasive Computing, WiFi, Sensor},
    doi={10.4108/eetiot.v7i28.446}
}
  • Wang-Yang Yu
    Shui-Hua Wang
    Yu-Dong Zhang
    Year: 2022
    A survey on gait recognition in IoT applications
    IOT
    EAI
    DOI: 10.4108/eetiot.v7i28.446
Wang-Yang Yu1, Shui-Hua Wang1, Yu-Dong Zhang1,*
  • 1: University of Leicester
*Contact email: yudongzhang@ieee.org

Abstract

In IoT applications, identity recognition is a basic and critical requirement. In recent years, IoT technology has developed rapidly, and IoT devices such as wearable devices, environmental sensors, and WiFi devices have been popularized and developed. The unobtrusive, low-cost, continuous advanced identity recognition methods are needed in IoT applications. Gait recognition not only has high performance but also is not easy to be forged or hidden. It has excellent potential in IoT intelligent identity recognition. This review discusses the implementation of gait analysis, representative datasets, and algorithms. Finally, we also discussed the challenges of gait analysis in IoT applications.

Keywords
Gait recognition, IoT, Pervasive Computing, WiFi, Sensor
Received
2022-03-08
Accepted
2022-03-26
Published
2022-04-12
Publisher
EAI
http://dx.doi.org/10.4108/eetiot.v7i28.446

Copyright © 2022 Wang-Yang Yu et al., licensed to EAI. This is an open access article distributed under the terms of the Creative Commons Attribution license, which permits unlimited use, distribution and reproduction in any medium so long as the original work is properly cited.