A Survey of Diet Monitoring Technology

Haik Kalantarian; Nabil Alshurafa; Majid Sarrafzadeh

doi:10.1109/MPRV.2017.1

A Survey of Diet Monitoring Technology

Haik Kalantarian, Nabil Alshurafa, Majid Sarrafzadeh

Preventive Medicine

Research output: Contribution to journal › Article › peer-review

44 Scopus citations

Abstract

This article surveys techniques for evaluating eating habits for wellness applications, emphasizing sensor-based approaches such as audio signal processing, inertial sensing, image processing, and gesture recognition. The focus is on noninvasive technologies that could be developed into real-time wearable devices, rather than techniques whose use is limited to laboratory settings. The authors present the results of an online survey in which respondents rate and describe their impressions of various approaches.

Original language	English (US)
Article number	7807183
Pages (from-to)	57-65
Number of pages	9
Journal	IEEE Pervasive Computing
Volume	16
Issue number	1
DOIs	https://doi.org/10.1109/MPRV.2017.1
State	Published - Jan 1 2017

Keywords

Internet of Things
bioinformatics
data analysis
food intake
healthcare
mobile
nutrition
pervasive computing
sensors
wearables

ASJC Scopus subject areas

Software
Computer Science Applications
Computational Theory and Mathematics

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10.1109/MPRV.2017.1

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A Survey of Diet Monitoring Technology

Abstract

Keywords

ASJC Scopus subject areas

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