• DocumentCode
    3042491
  • Title

    Visual identification of medicine boxes using features matching

  • Author

    Benjamim, Xiankleber C. ; Gomes, Rafael B. ; Burlamaqui, Aquiles F. ; Gonçalves, Luiz Marcos G

  • Author_Institution
    Fed. Univ. of Rio Grande do Norte (UFRN), Natal, Brazil
  • fYear
    2012
  • fDate
    2-4 July 2012
  • Firstpage
    43
  • Lastpage
    47
  • Abstract
    This paper proposes to use visual features matching in the identification of medicine boxes for visually impaired people. We use a camera device, available in several popular devices such as computers, televisions and cell phones, to identify relevant features on medicine box. After box detection, audio files are played to inform about dosage, indications and contraindications of the medication. Making use of this vision system can help many visually impaired people to take the right medicine at the time indicated in advance by the doctor. Experiments with 15 blindfolded volunteers demonstrated that 93% of them believes that the system was useful or very useful to identify the medicine boxes.
  • Keywords
    computer vision; handicapped aids; image matching; medical image processing; audio file; box detection; camera device; cell phone; computer; medicine boxes; television; vision system; visual feature matching; visual identification; visually impaired people; Biomedical imaging; Cameras; Computer vision; Drugs; Feature extraction; Object detection; Visualization; features; health; medicine boxes recognition;
  • fLanguage
    English
  • Publisher
    ieee
  • Conference_Titel
    Virtual Environments Human-Computer Interfaces and Measurement Systems (VECIMS), 2012 IEEE International Conference on
  • Conference_Location
    Tianjin
  • ISSN
    1944-9429
  • Print_ISBN
    978-1-4577-1758-1
  • Type

    conf

  • DOI
    10.1109/VECIMS.2012.6273190
  • Filename
    6273190