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DOI will be assigned to every published paper at no additional charge. 📢 Call for Papers — Volume 13, Issue 10 (October 2026) | Submission Deadline: October 26, 2026 | Rapid peer review: 2–3 days | Impact Factor: 7.37 (SJIF 2026)

Paper Details

📄 IJAERD-OJS-2871

Hand Sign Recognition System and study of RBF classifier

Author(s):Mrs. More Madhura Mahesh, Prof Dattatray S Bade
Institution:M.E. [Second Year] Electronics and Telecommunications Engineering, Alamuri Ratnamala Institute of Engineering and Technology (ARIET), Thane - Maharashtra, India
Published In:Vol. 4, Issue 6 — June 2017
Page No.:59-65
Domain:Engineering
Type:Research Paper
ISSN (Online):2348-4470
ISSN (Print):2348-6406
Abstract

- The prehistoric or primitive cave men’s where communication first existed or started were using a means ofsign language or gesture for communicating with each other. With the dawn of time, the man started working tirelesslyto make his life better and better. The inventions of new technologies and the computer brought a huge change in thelife of people. The Computer and advent of the internet made communication and transfer of information easier. Butthis is always an interaction with machines. The future era is conceiving of human-computer interaction (HCI) thatcan be used for implementing 3D applications in which user can move or rotate his hands without any input deviceslike keyboard or mouse. The communication involving hand gestures or signs for communication forms a basicplatform for the proposed system. Many researchers have performed different work by using different algorithms.Some of them even have revised their previous algorithm. The current work and related literature review have given away of developing a new system that can overcome all the system and should provide the best accuracy. The proposedsystem involves capture of images and then processing it, then filtering the unwanted part. The further processing ofthe image is carried out using FPGA, i.e. Field Programmable Gate Array. The system desires to give an excellentsimulation, good accuracy, minimizes run time and efficiently reduces the power consumption. It will be forming agreat alternative with low cost and best computational algorithm. The proposed system is desired to give better resultsand desired characteristics after implementation.

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🕮 How to Cite

Mrs. More Madhura Mahesh, Prof Dattatray S Bade, “Hand Sign Recognition System and study of RBF classifier”, International Journal of Advance Engineering and Research Development (IJAERD), Vol. 4, Issue 6, pp. 59-65, June 2017.

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Vol. 13 | Issue 10
October-2026