• DocumentCode
    171147
  • Title

    Automatic eating detection using a proximity sensor

  • Author

    Yicheng Bai ; Wenyan Jia ; Zhi-Hong Mao ; Mingui Sun

  • Author_Institution
    Depts. of Electr. & Comput. Eng., Univ. of Pittsburgh, Pittsburgh, PA, USA
  • fYear
    2014
  • fDate
    25-27 April 2014
  • Firstpage
    1
  • Lastpage
    2
  • Abstract
    Eating detection is a critical component in a wearable dietary monitoring device called eButton under our investigation. Once an eating activity is detected, a camera within the device is activated to take pictures of food automatically which is then processed to measure intakes of calories and nutrients. In this paper, we address the eating detection problem using a proximity sensor within the eButton. The repetitive movements of the arm during eating are monitored by a proximity sensor within a fan-shaped region. An infrared light emitter and a photo receiver produce signals when the infrared light is blocked. Our test results show that eating activity can be detected and distinguished from other activities. In addition, our method is unobtrusive, low power, and of a small size, suitable to be used in wearable devices.
  • Keywords
    biomedical optical imaging; body sensor networks; cameras; infrared detectors; infrared spectra; patient monitoring; arm repetitive movements; automatic eating detection; calory intake measurement; camera; eButton; infrared light emitter; nutrient intake measurement; photoreceiver; proximity sensor; wearable dietary monitoring device; Biomedical monitoring; Cameras; Hardware; Monitoring; Obesity; Organizations; Sun; Eating activity detection; infrared proximity sensor;
  • fLanguage
    English
  • Publisher
    ieee
  • Conference_Titel
    Bioengineering Conference (NEBEC), 2014 40th Annual Northeast
  • Conference_Location
    Boston, MA
  • Type

    conf

  • DOI
    10.1109/NEBEC.2014.6972716
  • Filename
    6972716