DocumentCode
3609249
Title
Monitoring Dietary Behavior with a Smart Dining Tray
Author
Bo Zhou ; Jingyuan Cheng ; Lukowicz, Paul ; Reiss, Attila ; Amft, Oliver
Author_Institution
German Res. Center for Artificial Intell., Saarbrucken, Germany
Volume
14
Issue
4
fYear
2015
Firstpage
46
Lastpage
56
Abstract
In this article, the authors investigate a new source of information for dietary monitoring: pressure distribution on the surface underneath dining plates. Pressure sensing has been used to consider the weight of the eaten food. The core idea behind their work is that dynamic pressure information can also be used to distinguish between various cutlery-related activities, such as cutting, poking, stirring, or scooping. The authors show how to spot such individual actions in continuous datastreams, assign them to specific containers (main plate, salad bowl), count them (how many bites taken), and relate them to different abstract food categories. They consider two sensing modalities: (1) textile pressure-sensor matrix technology facilitating a "smart tablecloth" that looks and feels like a standard tablecloth but provides detailed information on the spatial and temporal pressure; and (2) standard force sensitive resistor (FSR) sensors placed underneath a rigid tray. They also present the results of a new, comprehensive study with 10 subjects, each of whom consumed a total of eight meals chosen from 17 possible main dishes with six possible side dishes; results show an average accuracy of up to 94 percent. This article is part of a special issue on pervasive food.
Keywords
force sensors; medical computing; patient monitoring; personal computing; pressure sensors; textiles; FSR; abstract food categories; continuous datastreams; cutlery-related activities; dietary behavior monitoring; dining plates; dynamic pressure information; eaten food; force sensitive resistor sensors; pervasive food; pressure distribution; pressure sensing; rigid tray; sensing modalities; smart dining tray; smart tablecloth; textile pressure-sensor matrix technology; Food manufacturing; Food products; Food technology; Medical services; Mobile communication; Monitoring; Pressure sensors; Transmission line matrix methods; activity recognition; ambient intelligence; computer applications; data analysis; dietary behavior monitoring; health sciences; healthcare; life sciences; medical sciences; mobile applications; pervasive computing; textile pressure-sensor matrix;
fLanguage
English
Journal_Title
Pervasive Computing, IEEE
Publisher
ieee
ISSN
1536-1268
Type
jour
DOI
10.1109/MPRV.2015.79
Filename
7310823
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