Quantification of balance in single limb stance using kinect
Kingshuk Chakravarty, Suraj Suman, Brojeshwar Bhowmick, Aniruddha Sinha, Abhijit Das
Abstract
This paper presents a novel single limb body balance analysis system which will aid medical practitioners to analyze crucial factor for fall risk minimization, injury prevention, fitness and rehabilitation programs. We use skeleton data obtained from Microsoft Kinect which captures full human body as well as ensures user's privacy. A new eigen vector based curvature analysis algorithm is developed to compute single limb stance (SLS) duration on the skeleton data. Two parameters vibration-jitter and force per unit mass (FPUM) are derived for each body part to assess postural stability during SLS. Experimental results show the efficacy of our system to apply it in medical domain.
BibTeX
@inproceedings{icassp2016_quantificationof,
title = {Quantification of balance in single limb stance using kinect},
author = {Kingshuk Chakravarty and Suraj Suman and Brojeshwar Bhowmick and Aniruddha Sinha and Abhijit Das},
booktitle = {ICASSP 2016},
year = {2016}
}