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Reseach Article

Using Kinect Sensor for Detecting Early Symptoms of Disease using 3D Model from an Infrared Depth Sensor

Published on July 2016 by Kamalnayan Seth, Durgesh Tiwari, Rohit Sonar, Pankaj Mudholkar
International Conference on Advances in Information Technology and Management
Foundation of Computer Science USA
ICAIM2016 - Number 3
July 2016
Authors: Kamalnayan Seth, Durgesh Tiwari, Rohit Sonar, Pankaj Mudholkar
00ba83dd-e14a-4bd3-b0c8-8cf26c36e35f

Kamalnayan Seth, Durgesh Tiwari, Rohit Sonar, Pankaj Mudholkar . Using Kinect Sensor for Detecting Early Symptoms of Disease using 3D Model from an Infrared Depth Sensor. International Conference on Advances in Information Technology and Management. ICAIM2016, 3 (July 2016), 28-30.

@article{
author = { Kamalnayan Seth, Durgesh Tiwari, Rohit Sonar, Pankaj Mudholkar },
title = { Using Kinect Sensor for Detecting Early Symptoms of Disease using 3D Model from an Infrared Depth Sensor },
journal = { International Conference on Advances in Information Technology and Management },
issue_date = { July 2016 },
volume = { ICAIM2016 },
number = { 3 },
month = { July },
year = { 2016 },
issn = 0975-8887,
pages = { 28-30 },
numpages = 3,
url = { /proceedings/icaim2016/number3/25518-1690/ },
publisher = {Foundation of Computer Science (FCS), NY, USA},
address = {New York, USA}
}
%0 Proceeding Article
%1 International Conference on Advances in Information Technology and Management
%A Kamalnayan Seth
%A Durgesh Tiwari
%A Rohit Sonar
%A Pankaj Mudholkar
%T Using Kinect Sensor for Detecting Early Symptoms of Disease using 3D Model from an Infrared Depth Sensor
%J International Conference on Advances in Information Technology and Management
%@ 0975-8887
%V ICAIM2016
%N 3
%P 28-30
%D 2016
%I International Journal of Computer Applications
Abstract

Several chronic disease affects nearly 1. 7 billion people worldwide and over 750 million survivors are at-risk for developing diseases at some point in their life. Early detection of symptoms and management of these symptoms can significantly reduce the potential for symptoms and complications and a mechanism for handling it ; hothe studyver, many patients do not knowabout these symptoms and fail to seek medical assistance at the first sign of the disease which is most crucial stage . In this reaserch paper, the study will present a method for measuring bone density and for detecting early symptoms associated with several disease . The propose system relies on IR imaging sensors, such as in the Microsoft Kinect in xbox 360 . This technique will allow for the future development of tools for self-management and specialist monitoring using machine leraning , and when compared to other commercially available devicesin the market , our system is least complicated ,less expensive, or more reliable/accurate, fast forecaster and much more user friendly for the user .

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Index Terms

Computer Science
Information Sciences

Keywords

Kinect Sensor Symptoms machine Leraning Patients Management Of Symptoms.