INTERNATIONAL JOURNAL OF NOVEL RESEARCH AND DEVELOPMENT International Peer Reviewed & Refereed Journals, Open Access Journal ISSN Approved Journal No: 2456-4184 | Impact factor: 8.76 | ESTD Year: 2016
Scholarly open access journals, Peer-reviewed, and Refereed Journals, Impact factor 8.76 (Calculate by google scholar and Semantic Scholar | AI-Powered Research Tool) , Multidisciplinary, Monthly, Indexing in all major database & Metadata, Citation Generator, Digital Object Identifier(DOI)
The recognition of finger-spelling gestures in real-time is a significant challenge in the field of recognition of sign language. In this study, we are using Microsoft XBOX360 Kinect Camera to collect a dataset of depth-based segmented RGB images. The dataset included 36 different kind of gestures that is representing alphabets and numerals. To address the classification task, a Deep Convolutional Neural Network (CNN) was employed. It interprets a hand gesture as input and outputs the corresponding recognised character in real-time on a display screen. The proposed model achieve 90.33% accuracy. This research contributes to the development of a practical and efficient system for real-time recognition of finger-spelling gestures in ISL, which has the potential to enhance communication for individuals who use sign language as their primary means of expression.
Keywords:
Deep Learning, Human-Computer Interface, Sign language,
Cite Article:
"A Deep Learning-based human computer interface for sign language recognition.", International Journal of Novel Research and Development (www.ijnrd.org), ISSN:2456-4184, Vol.8, Issue 5, page no.j273-j281, May-2023, Available :http://www.ijnrd.org/papers/IJNRD2305952.pdf
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ISSN:
2456-4184 | IMPACT FACTOR: 8.76 Calculated By Google Scholar| ESTD YEAR: 2016
An International Scholarly Open Access Journal, Peer-Reviewed, Refereed Journal Impact Factor 8.76 Calculate by Google Scholar and Semantic Scholar | AI-Powered Research Tool, Multidisciplinary, Monthly, Multilanguage Journal Indexing in All Major Database & Metadata, Citation Generator
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