• DocumentCode
    3596309
  • Title

    Design and implementation of an instrumented cane for gait recognition

  • Author

    Wade, Joshua ; Beccani, Marco ; Myszka, Alec ; Bekele, Esubalew ; Valdastri, Pietro ; Flemming, Patricia ; de Riesthal, Michael ; Withrow, Thomas ; Sarkar, Nilanjan

  • Author_Institution
    Electr. Eng. & Comput. Sci. Dept., Vanderbilt Univ., Nashville, TN, USA
  • fYear
    2015
  • Firstpage
    5904
  • Lastpage
    5909
  • Abstract
    Independent mobility is an important aspect of an individual´s life and must sometimes be augmented by use of an assistive device such as a wheeled walker or cane following a fall, injury, or functional decline. Physical therapists perform functional gait assessments to gauge the probability of an individual experiencing a fall and often recommend use of a walker, cane, or walking stick to decrease fall risk. Our team has developed a clinical assessment tool centered on a standard walking cane embedded system that can enhance a therapist´s observation-based gait assessment with use of additional objective and quantitative data. This system can be utilized to detect timing and speed of cane placement, angular acceleration of the cane, and amounts of weight borne on the cane. This system is designed to assist physical therapists at the basic level in collection of objective data during gait analysis, to facilitate appropriate assistive gait device prescription, to provide patients and therapists feedback during gait training, and to reduce wrist and shoulder injuries with cane usage. However, more importantly, using the plethora of objective data that can be obtained from this cane, automated gait analysis and gait pattern classification can be performed to understand a patient´s walking performance.
  • Keywords
    gait analysis; medical robotics; pattern classification; angular acceleration; assistive gait device prescription; automated gait analysis; cane placement; clinical assessment tool; gait pattern classification; gait recognition; gait training; independent mobility; instrumented cane; objective data; observation-based gait assessment; patient walking performance; physical therapists; plethora; quantitative data; standard walking cane embedded system; walking stick; wheeled walker; Acceleration; Accuracy; Force; Frequency-domain analysis; Legged locomotion; Microcontrollers; Sensors;
  • fLanguage
    English
  • Publisher
    ieee
  • Conference_Titel
    Robotics and Automation (ICRA), 2015 IEEE International Conference on
  • Type

    conf

  • DOI
    10.1109/ICRA.2015.7140026
  • Filename
    7140026