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A Vision-Based Framework for Spotting and Segmentation of Gesture-Based Assamese Characters Written in the Air

A Vision-Based Framework for Spotting and Segmentation of Gesture-Based Assamese Characters Written in the Air

Ananya Choudhury, Kandarpa Kumar Sarma
Copyright: © 2021 |Volume: 14 |Issue: 1 |Pages: 22
ISSN: 1938-7857|EISSN: 1938-7865|EISBN13: 9781799860006|DOI: 10.4018/JITR.2021010105
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MLA

Choudhury, Ananya, and Kandarpa Kumar Sarma. "A Vision-Based Framework for Spotting and Segmentation of Gesture-Based Assamese Characters Written in the Air." JITR vol.14, no.1 2021: pp.70-91. http://doi.org/10.4018/JITR.2021010105

APA

Choudhury, A. & Sarma, K. K. (2021). A Vision-Based Framework for Spotting and Segmentation of Gesture-Based Assamese Characters Written in the Air. Journal of Information Technology Research (JITR), 14(1), 70-91. http://doi.org/10.4018/JITR.2021010105

Chicago

Choudhury, Ananya, and Kandarpa Kumar Sarma. "A Vision-Based Framework for Spotting and Segmentation of Gesture-Based Assamese Characters Written in the Air," Journal of Information Technology Research (JITR) 14, no.1: 70-91. http://doi.org/10.4018/JITR.2021010105

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Abstract

The task of automatic gesture spotting and segmentation is challenging for determining the meaningful gesture patterns from continuous gesture-based character sequences. This paper proposes a vision-based automatic method that handles hand gesture spotting and segmentation of gestural characters embedded in a continuous character stream simultaneously, by employing a hybrid geometrical and statistical feature set. This framework shall form an important constituent of gesture-based character recognition (GBCR) systems, which has gained tremendous demand lately as assistive aids for overcoming the restraints faced by people with physical impairments. The performance of the proposed system is validated by taking into account the vowels and numerals of Assamese vocabulary. Another attribute to this proposed system is the implementation of an effective hand segmentation module, which enables it to tackle complex background settings.

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