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
Link To Document :
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