• DocumentCode
    2907089
  • Title

    Demo abstract: Activity recognition and human energy expenditure estimation with a smartphone

  • Author

    Cvetkovic, Bozidara ; Janko, Vito ; Lustrek, Mitja

  • Author_Institution
    Dept. of Intell. Syst., Jozef Stefan Inst., Ljubljana, Slovenia
  • fYear
    2015
  • fDate
    23-27 March 2015
  • Firstpage
    193
  • Lastpage
    195
  • Abstract
    This paper presents a novel method for activity recognition and estimation of human energy expenditure with a smartphone and an optional heart-rate monitor. The method detects the presence of the devices, normalizes the orientation of the phone, detects its location on the body, and uses location-specific models to recognize the activity and estimate the energy expenditure. The normalization of the orientation and the detection of the location significantly improve the accuracy; the estimated energy expenditure is more accurate than that provided by a state-of-the-art dedicated consumer device.
  • Keywords
    cardiology; patient monitoring; smart phones; activity recognition; body location detection; heart-rate monitor; human energy expenditure estimation; location-specific model; phone orientation normalization; smartphone; Acceleration; Accelerometers; Accuracy; Biomedical monitoring; Estimation; Legged locomotion; Monitoring; accelerometer; activtiy recognition; heart-rate monitor; human energy expenditure; smartphone;
  • fLanguage
    English
  • Publisher
    ieee
  • Conference_Titel
    Pervasive Computing and Communication Workshops (PerCom Workshops), 2015 IEEE International Conference on
  • Conference_Location
    St. Louis, MO
  • Type

    conf

  • DOI
    10.1109/PERCOMW.2015.7134019
  • Filename
    7134019