DOIONLINE

DOIONLINE NO - IJAECS-IRAJ-DOIONLINE-3701

Publish In
International Journal of Advances in Electronics and Computer Science-IJAECS
Journal Home
Volume Issue
Issue
Volume-3,Issue-1  ( Jan, 2016 )
Paper Title
Fall Accident Detection Using Microsoft Kinect
Author Name
Kornkrit Siriwong, Rattakorn Poonsuph
Affilition
National Institute of Development Administration
Pages
1-4
Abstract
This research aimed to study the motion of falling, slipping and stumbling that would lead to an accident, especially with a patient in a room at the hospital, which could result in the death of the patience. This study focused on the importance of an immediate help which is triggered by the motion sensing device called “Kinect” in the patient’s room. This device consists of an infrared projector, an infrared camera, and a color detector. The price of Kinect device is considered affordable that’s why it is wildly used as a motion sensor. The data collected by Kinect is then transformed into an algorithm which will be used to program accident detection. When the analyzed data shows that an accident has occurred, the system will immediately alert the rescuers or in this case the nurses on duty. Index Terms-Kinect, Falling, Motion, Gesture, Posture.
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