• 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