• DocumentCode
    2493339
  • Title

    Measuring toe clearance using a wireless inertial sensing device

  • Author

    Lai, Daniel T H ; Begg, Rezaul ; Charry, Edgar ; Palaniswami, Marimuthu ; Hill, Keith

  • Author_Institution
    Centre for Ageing, Rehabilitation, Exercise & Sport, Victoria Univ., Melbourne, VIC
  • fYear
    2008
  • fDate
    15-18 Dec. 2008
  • Firstpage
    375
  • Lastpage
    380
  • Abstract
    Tripping and slipping falls are serious health concerns for the elderly because they incur high medical costs and can result in life threatening injuries i.e., internal bleeding. Recently there has been an increased interest in the development of portable inertial sensing devices for measuring human movement. These devices employ acceleration and angular data to obtain limb motion such as velocity and displacement through integration of acceleration values. In this paper, we investigate the performance of a wireless inertial sensing device for monitoring vertical toe clearance during walking. It has been demonstrated that variability in minimum toe clearance (MTC) which occurs during the swing phase is a sensitive falls risk predictor. Our device is composed of a tri-axis accelerometer and dual-axis gyroscope wirelessly connected through the use of Crossbow motes. The vertical toe clearance is obtained through double integration of the resultant acceleration in the vertical direction. We have performed zero base, treadmill and intersubject experiments to investigate device performance to environmental variations and compared the calculated toe clearance against measurements made by an Optotrak motion system. It was found that device outputs were approximately independent of small ambient temperature variations, had a reliable range of 20 m indoors and 50 m outdoors and a maximum transmission rate of 20 packets/s. Toe clearance measurements coincided with Optotrak measurement trends but suffered from cumulative integration errors over time. The identification, quantification and reduction of these errors are intricate but important further research issues.
  • Keywords
    accelerometers; biomedical measurement; distance measurement; gait analysis; geriatrics; gyroscopes; patient monitoring; wireless sensor networks; Optotrak motion system; acceleration data; angular data; crossbow motes; dual-axis gyroscope; fall risk predictor; human movement measurement; limb displacement; limb motion; limb velocity; minimum toe clearance variability; portable inertial sensing devices; slipping fall; toe clearance measurement; tri-axis accelerometer; tripping fall; vertical toe clearance; walking swing phase; wireless inertial sensing device; Acceleration; Anthropometry; Biomedical monitoring; Costs; Hemorrhaging; Injuries; Motion measurement; Senior citizens; Time measurement; Wireless sensor networks;
  • fLanguage
    English
  • Publisher
    ieee
  • Conference_Titel
    Intelligent Sensors, Sensor Networks and Information Processing, 2008. ISSNIP 2008. International Conference on
  • Conference_Location
    Sydney, NSW
  • Print_ISBN
    978-1-4244-3822-8
  • Electronic_ISBN
    978-1-4244-2957-8
  • Type

    conf

  • DOI
    10.1109/ISSNIP.2008.4762017
  • Filename
    4762017