NDLI: Hand gesture based interface for aiding visually impaired

Content Provider	IEEE Xplore Digital Library
Author	Panwar, M.
Copyright Year	2012
Description	Author affiliation: Centre for Development of Advanced Computing, Noida, Uttar Pradesh, India (Panwar, M.)
Abstract	Hand gesture recognition is a growing and very vast field of research. Numerous work have been done and a lot of work still remains to be done for providing a intuitive, innovative and natural way of non verbal communication, which is more familiar to human beings. Gesture Recognition is widely used in sign language, alternative computer interfaces, Immersive game technology etc. The aim of this paper is to present a system for hand gesture recognition to provide a interface for aiding visually impaired users on the basis of detection of some useful shape based features like orientation, area, centroid, extrema, location, presence of fingers and thumb in image. The approach discussed in this paper solely depends on the shape of the hand gesture. It does not comprise color or texture of the image, which are variant to different light shades and other influences. This approach uses some pre-processing steps for removal of background noise and employs K-means clustering for segmentation of hand object so that only segmented hand objects or cluster is to be processed in terms of shape based features. This unique approach can recognize around 36 different gestures on the bases of 7 bit binary sequence or string generated as a output of this algorithm. The proposed implemented approach has been tested on 360 images, and it gives approximate recognition rate of 94%. One of the great benefits of this algorithm is that it takes only fractional part of a second to recognize the hand gesture which makes it computationally efficient as compare to the other existing approach. The proposed algorithm is simple and independent of user characteristics. And also it does not require any kind of training of data like in HMM or neural network
Starting Page	80
Ending Page	85
File Size	882144
Page Count	6
File Format	PDF
ISBN	9781467302524
e-ISBN	9781467302555
DOI	10.1109/RACSS.2012.6212702
Language	English
Publisher	Institute of Electrical and Electronics Engineers, Inc. (IEEE)
Publisher Date	2012-04-25
Publisher Place	India
Access Restriction	Subscribed
Rights Holder	Institute of Electrical and Electronics Engineers, Inc. (IEEE)
Subject Keyword	Human computer interaction Image segmentation Shape Shape based features detection Image processing Thumb Clustering algorithms Gesture recognition Feature extraction K-means clustering Hand gesture recognition
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
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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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