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
Link To Document :
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