Wearable Device-Based Gait Recognition Using Angle Embedded Gait Dynamic Images and a Convolutional Neural Network

Wearable Device-Based Gait Recognition Using Angle Embedded Gait Dynamic Images and a Convolutional Neural Network

The widespread installation of inertial sensors in smartphones and other wearable devices provides a valuable opportunity to identify people by analyzing their gait patterns, for either cooperative or non-cooperative circumstances. However, it is still a challenging task to reliably extract discrimi...

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Bibliographic Details
Main Authors: Yongjia Zhao, Suiping Zhou
Format: Article
Language:English
Published: MDPI AG 2017-02-01
Series:Sensors
Subjects:
gait recognition
gait authentication
gait labeling
angle embedded gait dynamic image
convolutional neural network
biometrics
wearable devices
Online Access:http://www.mdpi.com/1424-8220/17/3/478

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http://www.mdpi.com/1424-8220/17/3/478

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