• DocumentCode
    1827315
  • Title

    Estimating Intensity of Physical Activity: A Comparison of Wearable Accelerometer and Gyro Sensors and 3 Sensor Locations

  • Author

    Parkka, J. ; Ermes, M. ; Antila, K. ; van Gils, M. ; Manttari, A. ; Nieminen, H.

  • Author_Institution
    Tech. Res. Centre of Finland, Tampere
  • fYear
    2007
  • fDate
    22-26 Aug. 2007
  • Firstpage
    1511
  • Lastpage
    1514
  • Abstract
    Automatic estimation of physical activity using wearable sensors can be used for promotion of a healthier lifestyle. In this study, accelerometers and gyroscopes attached to ankle, wrist and hip were used to estimate intensity of physical activity. The estimates are compared to metabolic equivalent (MET) obtained from a portable cardiopulmonary exercise testing system. Data from common everyday tasks and exercise were collected with 11 subjects. The tasks include, e.g., ironing, vacuuming, walking, running and cycling on exercise bicycle (ergometer). The strongest linear correlation with metabolic equivalent was obtained with the tri-axial accelerometer attached to the ankle (r=0.86).
  • Keywords
    acceleration measurement; accelerometers; biochemistry; biomedical measurement; biomedical transducers; gait analysis; gyroscopes; automatic physical activity intensity estimation; gyro sensors; human movements; linear correlation; metabolic equivalent; portable cardiopulmonary exercise testing system; tri-axial accelerometer; wearable accelerometer; Accelerometers; Bicycles; Cardiology; Gyroscopes; Hip; Legged locomotion; Life estimation; System testing; Wearable sensors; Wrist; Acceleration; Activities of Daily Living; Adult; Clothing; Equipment Design; Equipment Failure Analysis; Female; Humans; Male; Middle Aged; Monitoring, Ambulatory; Motor Activity; Physical Exertion; Reproducibility of Results; Sensitivity and Specificity; Transducers;
  • fLanguage
    English
  • Publisher
    ieee
  • Conference_Titel
    Engineering in Medicine and Biology Society, 2007. EMBS 2007. 29th Annual International Conference of the IEEE
  • Conference_Location
    Lyon
  • ISSN
    1557-170X
  • Print_ISBN
    978-1-4244-0787-3
  • Type

    conf

  • DOI
    10.1109/IEMBS.2007.4352588
  • Filename
    4352588