• DocumentCode
    628334
  • Title

    MET calculations from on-body accelerometers for exergaming movements

  • Author

    Mortazavi, Bobak ; Alsharufa, Nabil ; Lee, Sunghoon Ivan ; Lan, Mars ; Sarrafzadeh, Majid ; Chronley, Michael ; Roberts, Christian K.

  • Author_Institution
    Wireless Health Institute, Computer Science Department, UCLA, Los Angeles, CA 90095
  • fYear
    2013
  • fDate
    6-9 May 2013
  • Firstpage
    1
  • Lastpage
    6
  • Abstract
    The use of accelerometers to approximate energy expenditure and serve as inputs for exergaming, have both increased in prevalence in response to the worldwide obesity epidemic. Exergames have a need to show energy expenditure values to validate their results, often using accelerometer approximations applied to general daily-living activities. This work presents a method for estimating the metabolic equivalent of task (MET) values achieved when users perform exergaming-specific movements. This shows the caloric expenditure achieved by active video games, based upon raw gravity values of accelerations. Results show that, while a fusion of sensors monitoring the entire body achieves the best results, sensors placed closest to the primary location of movement achieve the most accurate approximations to the METs achieved per activity as well as the overall MET achieved for the soccer exergame under consideration. The METs achieved approach 7, the value considered to be actual casual soccer game play.
  • Keywords
    Acceleration; Accelerometers; Approximation methods; Games; Hip; Obesity; Sensors;
  • fLanguage
    English
  • Publisher
    ieee
  • Conference_Titel
    Body Sensor Networks (BSN), 2013 IEEE International Conference on
  • Conference_Location
    Cambridge, MA, USA
  • ISSN
    2325-1425
  • Print_ISBN
    978-1-4799-0331-3
  • Type

    conf

  • DOI
    10.1109/BSN.2013.6575520
  • Filename
    6575520