Research Article
A survey on gait recognition in IoT applications
@ARTICLE{10.4108/eetiot.v7i28.446, author={Wang-Yang Yu and Shui-Hua Wang}, 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
Year: 2022
A survey on gait recognition in IoT applications
IOT
EAI
DOI: 10.4108/eetiot.v7i28.446
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.
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.
