Food volume estimation based on stereo image analysis

Mohammed A. Subhi, Sawal Hamid Md Ali, Ahmad G. Ismail, Masuri Othman

Research output: Contribution to journalArticle

1 Citation (Scopus)

Abstract

Eating disorder may involve the consumption of excessive amounts of food, more than the human body needs. Numerous related efforts have been devoted to dietary assessment programs that require a daily self-logging and manual identification of food type and volume, which are analyzed later by a computer or a mobile device. This is known to be a challenging task especially when it involves accurate logging of the amount and time of the food intake. For these reasons, the need for a fully automatic approach to carry out all the tasks of food intake detection, food type classification, and dietary assessment has been the point of focus in many recent works [1].

Original languageEnglish
Article number8573592
Pages (from-to)36-43
Number of pages8
JournalIEEE Instrumentation and Measurement Magazine
Volume21
Issue number6
DOIs
Publication statusPublished - 1 Dec 2018

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food intake
image analysis
food
Image analysis
eating
human body
disorders
Mobile devices

ASJC Scopus subject areas

  • Instrumentation
  • Electrical and Electronic Engineering

Cite this

Food volume estimation based on stereo image analysis. / Subhi, Mohammed A.; Md Ali, Sawal Hamid; Ismail, Ahmad G.; Othman, Masuri.

In: IEEE Instrumentation and Measurement Magazine, Vol. 21, No. 6, 8573592, 01.12.2018, p. 36-43.

Research output: Contribution to journalArticle

Subhi, Mohammed A. ; Md Ali, Sawal Hamid ; Ismail, Ahmad G. ; Othman, Masuri. / Food volume estimation based on stereo image analysis. In: IEEE Instrumentation and Measurement Magazine. 2018 ; Vol. 21, No. 6. pp. 36-43.
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