A survey on gait recognition in IoT applications | Zendy

Wang-Yang Yu | Zendy; Shuihua Wang‎ | Zendy; Yudong Zhang | Zendy

AI Assistant Blog Pricing

Home ZAIA Blog

Open Access

A survey on gait recognition in IoT applications

Author(s) -

Wang-Yang Yu,

Shuihua Wang‎,

Yudong Zhang

Publication year - 2022

Publication title -

eai endorsed transactions on internet of things

Language(s) - English

Resource type - Journals

ISSN - 2414-1399

DOI - 10.4108/eetiot.v7i28.446

Subject(s) - wearable computer , identity (music) , internet of things , computer science , gait , wearable technology , human–computer interaction , gait analysis , embedded system , artificial intelligence , physical medicine and rehabilitation , medicine , physics , acoustics

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.

The content you want is available to Zendy users.

Already have an account? Click here to sign in.

Having issues? You can contact us here

Accelerating Research