A Survey of Diet Monitoring Technology

Haik Kalantarian, Nabil Alshurafa, Majid Sarrafzadeh

Research output: Contribution to journalArticlepeer-review

33 Scopus citations


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 languageEnglish (US)
Article number7807183
Pages (from-to)57-65
Number of pages9
JournalIEEE Pervasive Computing
Issue number1
StatePublished - Jan 1 2017


  • 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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