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A Vision Interface Framework for Intuitive Gesture Recognition using Color based Blob Detection
| International Journal of Computer Applications |
| Foundation of Computer Science (FCS), NY, USA |
| Volume 90 - Number 15 |
| Year of Publication: 2014 |
| Authors: Saikat Basak, Arundhuti Chowdhury |
10.5120/15799-4611
|
Saikat Basak, Arundhuti Chowdhury . A Vision Interface Framework for Intuitive Gesture Recognition using Color based Blob Detection. International Journal of Computer Applications. 90, 15 ( March 2014), 36-40. DOI=10.5120/15799-4611
Abstract
This paper is an illustrative approach for developing a visual interface for an intuitive gesture recognition system using finger gestures and color markers. The objective is to develop a system by which one can communicate with any digital device more interactively and make these interactions more intuitive and cost effective at the same time. Although vision interfaces that work with finger gestures have been researched and developed for some time, this approach of developing the interface is unique in many aspects. The initial goal was to minimize hardware requirements and maximize configurability of the system. To serve the purpose, no external hardware other than an internal or external webcam is used. This makes it cost effective and easier to obtain. Predefined gestures are simple yet intuitive. And thus, using this framework a low cost yet effective gesture interpretation system is developed
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