• DocumentCode
    678342
  • Title

    A wearable inertial sensing device for fall detection and motion tracking

  • Author

    Kumar, Pranaw ; Pandey, Prem Chandra

  • Author_Institution
    Dept. of Biosci. & Bioeng., IIT Bombay, Mumbai, India
  • fYear
    2013
  • fDate
    13-15 Dec. 2013
  • Firstpage
    1
  • Lastpage
    6
  • Abstract
    Fall is a major problem for the elderly persons and patients suffering from neuromuscular disorders. A body-worn fall detector can greatly help in providing timely assistance by alerting the emergency services and relatives in case of such an occurrence. A wearable inertial sensing device is developed for fall detection and motion tracking. It consists of an integrated sensor with tri-axial accelerometer and tri-axial gyroscope for sensing linear acceleration and angular velocity, a microcontroller for data acquisition and processing, nonvolatile memory for recording the sensed data, and Bluetooth for wireless connectivity. A fall detection algorithm applying multiple decompositions and thresholding on the acceleration data is implemented for real-time processing using sampling frequency of 100 Hz. The sensed data can be continuously recorded for approximately 10 hours at a sampling frequency of 20 Hz and therefore the device can also be used for actigraphy for diagnosis of sleep disorders. A number of such devices worn on the different parts of the body and wirelessly connected to a central device can be used for continuous tracking of the posture and movement and can serve as an aid for assisted living.
  • Keywords
    Bluetooth; accelerometers; assisted living; biomedical equipment; data acquisition; emergency services; geriatrics; gyroscopes; medical computing; medical disorders; microcontrollers; neurophysiology; patient diagnosis; random-access storage; sleep; Bluetooth; actigraphy; angular velocity; assisted living; body-worn fall detector; continuous tracking; data acquisition; data processing; elderly patients; elderly persons; emergency services; fall detection algorithm; frequency 100 Hz; frequency 20 Hz; integrated sensor; linear acceleration; microcontroller; motion tracking; neuromuscular disorders; nonvolatile memory; real-time processing; sensed data recording; sleep disorder diagnosis; triaxial accelerometer gyroscope; wearable inertial sensing device; wireless connectivity; Accelerometers; Bluetooth; Clocks; Gyroscopes; Microcontrollers; Sensors; Tracking; assisted living; fall detection; inertial sensing; motion tracking;
  • fLanguage
    English
  • Publisher
    ieee
  • Conference_Titel
    India Conference (INDICON), 2013 Annual IEEE
  • Conference_Location
    Mumbai
  • Print_ISBN
    978-1-4799-2274-1
  • Type

    conf

  • DOI
    10.1109/INDCON.2013.6725876
  • Filename
    6725876