Development of a constraint-free wearable sensor system for human motion analysis and its application
Description: As a brush-up of the wearable sensor system for the human motion analysis which we already developed, in this research we have developed an algorism to improve accuracy of the stick picture, an estimation method of the mass of the part of the body of the each subject and an signal processing algorism to suppress the effect of the impulsive acceleration on the Kalman filer of the inertial sensor. Next, a new wearable floor reaction force sensor plate for the heavy load of the light sports, a gloves type sensor for measuring the behavior and load of the hand, a built-in 6-axes load cell for the prosthetic leg have been developed. Furthermore, in the medical and health fields, the developed sensor systems have been applied to walking, prosthetic limb gait, and the sit-to-stand training machine. And in the field of sports, the dynamic analysis and the developed sensor technologies have been combined and applied to the diagnosis system for the golf swing and tennis serve.
Amount: ¥45,370,000
Funding type: research
Funder scheme: Grant-in-Aid for Scientific Research (A)
Start date: 2011-04-01
End date: 2015-03-31
Investigator: Yoshio INOUE (lead)
Institution: Kochi University of Technology
Subfield: Computer Vision and Pattern Recognition
Field: Computer Science
Domain: Physical Sciences
Funded outputs count: 15
Funder award ID: 23246041
OpenAlex ID: G2497052257