Journal
JOURNAL OF PATTERN RECOGNITION RESEARCH
Volume 10, Issue 1, Pages 24-38Publisher
JOURNAL PATTERN RECOGNITION RESEARCH
DOI: 10.13176/11.626
Keywords
Indian sign language; dynamic hand gesture recognition; human computer interaction; dynamic time warping; inverted indexing
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Indian sign language interpretation is an important task to facilitate communication among Indian deaf community and other people. Dynamic hand gesture recognition among other gesture modalities is a major step towards sign language recognition as well as any human computer interaction applications. The main focus of this paper is to design and develop a new algorithm for Indian sign language sentence creation considering limitation of continuous sign language recognition. This paper explores two algorithms for word recognition. Rule based and Dynamic Time Warping-based methods for Indian sign language word recognition are developed. The Dynamic Time Warping-based method gave better accuracy for continuous word recognition than the rule-based method. The proposed new approach for Indian sign language sentence interpretation using inverted indexing overcomes the challenges of conventional continuous sentence recognition in sign language interpretation.
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