• DocumentCode
    259857
  • Title

    Human-walker interaction on slopes based on LRF and IMU sensors

  • Author

    Tausel, Luca ; Cifuentes, Carlos A. ; Rodriguez, Camilo ; Frizera, Anselmo ; Bastos, Teodiano

  • Author_Institution
    Mech. Eng. Dept., Politec. di Milano, Milan, Italy
  • fYear
    2014
  • fDate
    12-15 Aug. 2014
  • Firstpage
    227
  • Lastpage
    232
  • Abstract
    Smart Walkers should be able to safely deal with inclinations in order to become a device effectively useful in the daily life of the elderly population. This paper presents a novel model of human-walker interaction on slopes. The interaction parameters are obtained from a Laser Range Finder (LRF) and an Inertial Measurement Unit (IMU). This model is integrated into the conventional closed control loop as a supervisor block. This block modifies, based on inclinations, the control set points to provide an adaptable human-walker desired position to improve comfort and safety and enhance user´s confidence in the walker. The practical evaluation shows that the parameters extracted from the natural behavior of the user and the estimated set points determined with the model proposal are highly correlated, presenting a similar trend. This correlation allows performing a more natural control.
  • Keywords
    force sensors; gait analysis; geriatrics; human-robot interaction; laser ranging; medical robotics; IMU sensor; LRF sensor; closed control loop; elderly population; force sensors; human-robot interaction; human-walker interaction; inertial measurement unit; laser range finder; slopes; smart walkers; Analytical models; Kinematics; Legged locomotion; Market research; Mathematical model; Sensors;
  • fLanguage
    English
  • Publisher
    ieee
  • Conference_Titel
    Biomedical Robotics and Biomechatronics (2014 5th IEEE RAS & EMBS International Conference on
  • Conference_Location
    Sao Paulo
  • ISSN
    2155-1774
  • Print_ISBN
    978-1-4799-3126-2
  • Type

    conf

  • DOI
    10.1109/BIOROB.2014.6913781
  • Filename
    6913781