DocumentCode :
1793863
Title :
Estimation method of operating force using an extended Kalman filter based on ground reaction force and human behavior
Author :
Noro, Taishi ; Katsuda, Yusuke ; Miyoshi, Takanori ; Terashima, K.
Author_Institution :
Toyohashi Univ. of Technol., Toyohashi, Japan
fYear :
2014
fDate :
10-12 Nov. 2014
Firstpage :
1
Lastpage :
4
Abstract :
Aiming to assist operators, our laboratory had proposed power assisted wire suspension system. A system to estimate the operating force based on ground reaction force and human behavior has been developed. However, it is necessary to measure the human behavior (position, velocity, and acceleration) of 17 points on the body with the conventional human dynamics model. Therefore, the system is extremely expensive and not practical, because of large number of sensors. In addition, fewer sensor units worsen the estimation accuracy of the operating force. In order to improve the estimation accuracy of the operating force, it is important to identify positions of center-of-gravity and masses of links. Thus, this paper presents the novel human dynamics model estimating the operating force and parameters using extended Kalman filter based on human behavior with only 6 sensor units and ground reaction force. Improvement of the estimation accuracy is confirmed by experiments.
Keywords :
Kalman filters; estimation theory; human factors; nonlinear filters; acceleration; center-of-gravity; estimation accuracy; extended Kalman filter; ground reaction force; human behavior; human dynamics model; link masses; operating force; position; power assisted wire suspension system; sensor units; velocity; Acceleration; Accuracy; Dynamics; Estimation; Force; Kalman filters; Sensors;
fLanguage :
English
Publisher :
ieee
Conference_Titel :
Micro-NanoMechatronics and Human Science (MHS), 2014 International Symposium on
Conference_Location :
Nagoya
Print_ISBN :
978-1-4799-6678-3
Type :
conf
DOI :
10.1109/MHS.2014.7006071
Filename :
7006071
Link To Document :
بازگشت