Automatic food detection in egocentric images using artificial intelligence technology.

Journal: Public health nutrition
PMID: 29576027

Abstract

OBJECTIVE: To develop an artificial intelligence (AI)-based algorithm which can automatically detect food items from images acquired by an egocentric wearable camera for dietary assessment.

Authors

  • Wenyan Jia
  • Yuecheng Li
    1Department of Neurosurgery,University of Pittsburgh,3520 Forbes Avenue,Suite 202,Pittsburgh,PA 15213,USA.
  • Ruowei Qu
    1Department of Neurosurgery,University of Pittsburgh,3520 Forbes Avenue,Suite 202,Pittsburgh,PA 15213,USA.
  • Thomas Baranowski
  • Lora E Burke
  • Hong Zhang
    Department of Anesthesiology and Operation, The First Hospital of Lanzhou University, Lanzhou, Gansu, China.
  • Yicheng Bai
    1Department of Neurosurgery,University of Pittsburgh,3520 Forbes Avenue,Suite 202,Pittsburgh,PA 15213,USA.
  • Juliet M Mancino
    4School of Nursing,University of Pittsburgh,Pittsburgh,PA,USA.
  • Guizhi Xu
    2Department of Biomedical Engineering,Hebei University of Technology,Tianjin,People's Republic of China.
  • Zhi-Hong Mao
    6Department of Electrical and Computer Engineering,University of Pittsburgh,Pittsburgh,PA,USA.
  • Mingui Sun

Keywords

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