DocumentCode
2889486
Title
Body parts positions and posture estimation system based on pressure distribution image
Author
Harada, Tatsuya ; Mori, Taketoshi ; Nishida, Yoshifumi ; Yoshimi, Tomohisa ; Sato, Tomomasa
Author_Institution
Tokyo Univ., Japan
Volume
2
fYear
1999
fDate
1999
Firstpage
968
Abstract
We develop a body parts position and posture estimation system. This system consists of a pressure sensor distributed bed and body parts position and posture estimation software. The computer constructs many pressure distribution images based on the simple human models and accumulates these images to its memory, called the model-based pressure image templates. The pressure distribution image through is compared with model-based pressure image templates to find out the most matched pressure image template. The model-based pressure image templates contain body parts positions and joint angles information, so the body parts position contacting with the bed can easily be estimated by using the most matched model-based pressure image template. Finally, an estimated posture is displayed as a 3D computer graphics image. An experimental result reveals that the system not only can display the estimated lying human posture intuitively, but can also estimate the lying human´s body parts position accurately where the body parts contacts with bed
Keywords
biomedical measurement; computer vision; medical computing; pressure sensors; solid modelling; 3D computer graphics; body parts position estimation; human posture; model-based pressure image; posture estimation; pressure distribution image; pressure sensor; Biological system modeling; Biomedical monitoring; Computer displays; Distributed computing; Humans; Joints; Laboratories; Magnetooptic recording; Sensor systems; Software algorithms;
fLanguage
English
Publisher
ieee
Conference_Titel
Robotics and Automation, 1999. Proceedings. 1999 IEEE International Conference on
Conference_Location
Detroit, MI
ISSN
1050-4729
Print_ISBN
0-7803-5180-0
Type
conf
DOI
10.1109/ROBOT.1999.772434
Filename
772434
Link To Document