Food Recognition and Nutritional Apps

Lubnaa Abdur Rahman, Ioannis Papathanail, Lorenzo Brigato, Elias K. Spanakis, Stavroula Mougiakakou
6/20/2023
cs.CVcs.CY

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Abstract

Food recognition and nutritional apps are trending technologies that may revolutionise the way people with diabetes manage their diet. Such apps can monitor food intake as a digital diary and even employ artificial intelligence to assess the diet automatically. Although these apps offer a promising solution for managing diabetes, they are rarely used by patients. This chapter aims to provide an in-depth assessment of the current status of apps for food recognition and nutrition, to identify factors that may inhibit or facilitate their use, while it is accompanied by an outline of relevant research and development.

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Cite this paper

@article{rahman2023food,
  title  = {Food Recognition and Nutritional Apps},
  author = {Lubnaa Abdur Rahman and Ioannis Papathanail and Lorenzo Brigato and Elias K. Spanakis and Stavroula Mougiakakou},
  year   = {2023},
  eprint = {2307.05372},
  archivePrefix = {arXiv},
  url    = {http://arxiv.org/abs/2307.05372v1}
}

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