A food recognition and tracking system for diabetics in the Middle East

Muhammad Usman, Kashif Ahmad, Marwa Qaraqe

Research output: Chapter in Book/Report/Conference proceedingConference contribution

2 Citations (Scopus)


The concerns for a healthier diet are increasing day by day, especially in diabetics wherein the aim of healthier diet can only be achieved by keeping a track of daily food intake and glucose-level. As a consequence, there is an ever-increasing need of automatic tools able to help diabetics to manage their diet and also help physicians to better analyze the effects of various types of food on the glucose-level of diabetics. In this paper, we propose an intelligent food recognition and tracking system for diabetics, which is potentially an essential part of a mobile application that we propose to couple food intake with the blood glucose-level using glucose measuring sensors. Being an essential component of the application, for food recognition we rely on several feature extraction and classification techniques individually and jointly utilized using an early and two different late fusion techniques, namely (i) Particle Swarm Optimization (PSO) based fusion and (iii) simple averaging. Moreover, we also evaluate the performance of several deep features. In addition, we collect a large-scale dataset containing images from several types of local Middle-Eastern food, which is intended to become a powerful support tool for future research in the domain.
Original languageEnglish
Title of host publication2019 IEEE International Smart Cities Conference (ISC2)
PublisherInstitute of Electrical and Electronics Engineers Inc.
Number of pages5
ISBN (Electronic)9781728108469
ISBN (Print)9781728108476
Publication statusPublished - 20 Apr 2020
Event5th IEEE International Smart Cities Conference - Casablanca, Morocco
Duration: 14 Oct 201917 Oct 2019
https://ieee-isc2.org/ (Link to conference website)

Publication series

ISSN (Print)2687-8852
ISSN (Electronic)2687-8860


Conference5th IEEE International Smart Cities Conference
Abbreviated titleISC2 2019
Internet address


  • food recognition
  • CNNs
  • deep features
  • continuous glucose monitoring
  • particle swarm optimization
  • diabetes


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