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.
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 .