Wearable context-aware food recognition for calorie monitoring

We propose DiaWear, a novel assistive mobile phone-based calorie monitoring system to improve the quality of life of diabetes patients and individuals with unique nutrition management needs. Our goal is to achieve improved daily semi-automatic food recognition using a mobile wearable cell phone. Dia...

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Bibliographic Details
Published in2008 12th IEEE International Symposium on Wearable Computers pp. 119 - 120
Main Authors Shroff, G., Smailagic, A., Siewiorek, D.P.
Format Conference Proceeding
LanguageEnglish
Published IEEE 01.09.2008
Subjects
Biomedical monitoring
Cellular phones
Computer science
Computerized monitoring
Diabetes
Image recognition
Neural networks
Patient monitoring
Probability
Remote monitoring
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Summary:We propose DiaWear, a novel assistive mobile phone-based calorie monitoring system to improve the quality of life of diabetes patients and individuals with unique nutrition management needs. Our goal is to achieve improved daily semi-automatic food recognition using a mobile wearable cell phone. DiaWear currently uses a neural network classification scheme to identify food items from a captured image. It is difficult to account for the varying and implicit nature of certain foods using traditional image recognition techniques. To overcome these limitations, we introduce the role of the mobile phone as a platform to gather contextual information from the user and system in obtaining better food recognition.
ISBN:1424426375
9781424426379
ISSN:1550-4816
2376-8541
DOI:10.1109/ISWC.2008.4911602