• DocumentCode
    656470
  • Title

    The statistical recognition of walking, jogging, and running using smartphone accelerometers

  • Author

    Thammasat, Ekachai

  • Author_Institution
    Eng. Dept., Thailand Inst. of Sci. & Technol. Res., Pathumthani, Thailand
  • fYear
    2013
  • fDate
    23-25 Oct. 2013
  • Firstpage
    1
  • Lastpage
    4
  • Abstract
    This study was conducted to statistically recognize the walking, jogging, and running activities by using accelerometers build-in a smartphone. Using the smartphone causes the user need not to carry another device more. The advantage of the study is to observe remotely any movement of an interested person at all time so the observer can manage appropriate program for exercise, monitor energy consumption, or evaluate calorie compensation. The method used for the recognition applied the statistical analysis: descriptive statistics, analysis of variance, F-test, and t-test.
  • Keywords
    accelerometers; biomedical measurement; gait analysis; patient monitoring; smart phones; statistical analysis; F-test; analysis of variance; calorie compensation evaluation; descriptive statistics; energy consumption monitoring; exercise monitoring; jogging; person movement; running activities; smartphone accelerometers; statistical analysis; statistical recognition; t-test; walking; Acceleration; Accelerometers; Analysis of variance; Legged locomotion; Monitoring; Sensors; Accelerometer; jogging; running; walking;
  • fLanguage
    English
  • Publisher
    ieee
  • Conference_Titel
    Biomedical Engineering International Conference (BMEiCON), 2013 6th
  • Conference_Location
    Amphur Muang
  • Print_ISBN
    978-1-4799-1466-1
  • Type

    conf

  • DOI
    10.1109/BMEiCon.2013.6687689
  • Filename
    6687689