A Robust Method to Detect Zero Velocity for Improved 3D Personal Navigation Using Inertial Sensors

A Robust Method to Detect Zero Velocity for Improved 3D Personal Navigation Using Inertial Sensors

This paper proposes a robust zero velocity (ZV) detector algorithm to accurately calculate stationary periods in a gait cycle. The proposed algorithm adopts an effective gait cycle segmentation method and introduces a Bayesian network (BN) model based on the measurements of inertial sensors and kine...

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Bibliographic Details
Main Authors: Zhengyi Xu, Jianming Wei, Bo Zhang, Weijun Yang
Format: Article
Language:English
Published: MDPI AG 2015-03-01
Series:Sensors
Subjects:
inertial sensors
personal inertial navigation system
zero velocity detector
bayesian network
kinesiology
Online Access:http://www.mdpi.com/1424-8220/15/4/7708

Internet

http://www.mdpi.com/1424-8220/15/4/7708

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