NDLI: Carried Load Measurement Based on Gait Analysis and Human Kinetics

Content Provider	IEEE Xplore Digital Library
Author	Zhang, Kui Zhang, Hong Yao, Ning Sclabassi, Robert J. Sun, Mingui
Copyright Year	2008
Abstract	As a means of biometric identification, gait analysis has attracted much attention in both research and industry. Most methods focus on human posture identification, tracking and medicine treatment assistant. Few methods, however, investigate the relationship between the load carried by an individual and the characteristics of his/her gait. In this paper, we present a method to estimate the weight of the carried load from a sequence of video images. We analyze the shifts of an individual's center of gravity based on human kinetics. Relationships between the carried weight, leaning angles, mass of the individual and the position of the load are established and the estimate error is reduced using the statistical average. This method is then verified using theoretical and curve fitting experiments.
Starting Page	104
Ending Page	107
File Size	468125
Page Count	4
File Format	PDF
ISBN	9780769531199
DOI	10.1109/CISP.2008.128
Language	English
Publisher	Institute of Electrical and Electronics Engineers, Inc. (IEEE)
Publisher Date	2008-05-27
Publisher Place	China
Access Restriction	Subscribed
Rights Holder	Institute of Electrical and Electronics Engineers, Inc. (IEEE)
Subject Keyword	Legged locomotion image processing Torque Image processing Gait Analysis Humans Human Kinetics Carried Load Measurement Image analysis Kinetic theory Curve fitting Signal analysis Gravity Biomedical signal processing pattern recognition
Content Type	Text
Resource Type	Article

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