NDLI: The smart device for healthcare service: Iris diagnosis application

Content Provider	IEEE Xplore Digital Library
Author	Hareva, D.H. Lukas, S. Suharta, N.O.
Copyright Year	2013
Description	Author affiliation: Inf., Comput. Sci., Univ. Pelita Harapan, Tangerang, Indonesia (Hareva, D.H.; Lukas, S.; Suharta, N.O.)
Abstract	We have developed an iridology application for predicting a person health through analysis of iris image. Commonly for commercial purpose, it used Desktop-PC, but we embedded it on Android-based Smartphone. The objective of this research is to find out whether healthcare application that providing direct diagnosis from real-time capturing image can be carried out through mobile phone in general. For that purpose, we developed other version of application that run on windows mobile and windows operating system. The algorithm and structure of the application is made as closely as possible with a previous application. Those applications have been tested on different environment, such as operating system, programming language, and mobile device. The device tested with regard to product maker, processor speed, screen size, storage size, and image retrieval using built-in camera. Although the results can be predicted that the used device with high specifications will be faster to process image analysis, better to obtain images, clearly in displaying images, however finding out the low limit of requirement for running the application is essential. It is found using low camera specification to take the image of iris is not recommended. Additional macro lens causes difficulty when taking a picture. Processing of iris image to predict health condition could be handled by 1 GHz processor, 512 internal memories, and 3.5 inches screen size, even it used low-end product.
Sponsorship	IEEE Thailand Sect.
Starting Page	1
Ending Page	6
File Size	500791
Page Count	6
File Format	PDF
ISSN	2157099X
DOI	10.1109/ICTKE.2013.6756277
Language	English
Publisher	Institute of Electrical and Electronics Engineers, Inc. (IEEE)
Publisher Date	2013-11-20
Publisher Place	Thailand
Access Restriction	Subscribed
Rights Holder	Institute of Electrical and Electronics Engineers, Inc. (IEEE)
Subject Keyword	Heart Canny Edge Detection Iris Lungs Image edge detection Artificial Neural Network Liver Artificial neural networks Automatic Disease Detection Mobile communication Iridology Smart device
Content Type	Text
Resource Type	Article

Sl.	Authority	Responsibilities	Communication Details
1	Ministry of Education (GoI), Department of Higher Education	Sanctioning Authority	https://www.education.gov.in/ict-initiatives
2	Indian Institute of Technology Kharagpur	Host Institute of the Project: The host institute of the project is responsible for providing infrastructure support and hosting the project	https://www.iitkgp.ac.in
3	National Digital Library of India Office, Indian Institute of Technology Kharagpur	The administrative and infrastructural headquarters of the project	Dr. B. Sutradhar bsutra@ndl.gov.in
4	Project PI / Joint PI	Principal Investigator and Joint Principal Investigators of the project	Dr. B. Sutradhar bsutra@ndl.gov.in Prof. Saswat Chakrabarti will be added soon
5	Website/Portal (Helpdesk)	Queries regarding NDLI and its services	support@ndl.gov.in
6	Contents and Copyright Issues	Queries related to content curation and copyright issues	content@ndl.gov.in
7	National Digital Library of India Club (NDLI Club)	Queries related to NDLI Club formation, support, user awareness program, seminar/symposium, collaboration, social media, promotion, and outreach	clubsupport@ndl.gov.in
8	Digital Preservation Centre (DPC)	Assistance with digitizing and archiving copyright-free printed books	dpc@ndl.gov.in
9	IDR Setup or Support	Queries related to establishment and support of Institutional Digital Repository (IDR) and IDR workshops	idr@ndl.gov.in

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