Does glucose affect our vision? A preliminary study using smart glasses

Rafał Doniec, Natalia Piaseczna, Szymon Sieciński, Marcin Grzegorzek, Ewaryst J. Tkacz

Abstract

In this study, we investigate the relationship between blood glucose levels and visual acuity during simulated driving using smart glasses and machine learning. We found compelling correlations between blood glucose levels and visual performance, with a classification accuracy of 98.70%. These results highlight the importance of blood glucose regulation for road safety and human well-being, and the potential of wearable sensor technology to advance our understanding of physiological influences on human performance.
Original languageEnglish
Pages113-114
Number of pages2
DOIs
Publication statusPublished - 29.01.2024
Event2023 IEEE EMBS Special Topic Conference on Data Science and Engineering in Healthcare, Medicine and Biology - Hilton Malta, St. Julian's, Malta
Duration: 07.12.202309.12.2023
https://datascience.embs.org/2023

Conference

Conference2023 IEEE EMBS Special Topic Conference on Data Science and Engineering in Healthcare, Medicine and Biology
Country/TerritoryMalta
CitySt. Julian's
Period07.12.2309.12.23
Internet address

UN SDGs

This output contributes to the following UN Sustainable Development Goals (SDGs)

  1. SDG 3 - Good Health and Well-being
    SDG 3 Good Health and Well-being
  2. SDG 4 - Quality Education
    SDG 4 Quality Education
  3. SDG 9 - Industry, Innovation, and Infrastructure
    SDG 9 Industry, Innovation, and Infrastructure
  4. SDG 11 - Sustainable Cities and Communities
    SDG 11 Sustainable Cities and Communities
  5. SDG 12 - Responsible Consumption and Production
    SDG 12 Responsible Consumption and Production
  6. SDG 14 - Life Below Water
    SDG 14 Life Below Water
  7. SDG 15 - Life on Land
    SDG 15 Life on Land

Research Areas and Centers

  • Centers: Center for Artificial Intelligence Luebeck (ZKIL)

DFG Research Classification Scheme

  • 2.22-32 Medical Physics, Biomedical Technology
  • 2.22-17 Endocrinology, Diabetology, Metabolism

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