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)
Nonverbal cues and hand signs aid in communicating and are visible to the eye. With this project, people with disabilities, like the deaf and dumb, will be able to freely communicate with people without disabilities. Convolutional neural networks, also known as CNNs, are a viable method for recognising hand gestures because they have shown great success in recognition of images tests. In this research, we propose a CNN-based hand gesture detection model that performs well in real-time and with high accuracy. The correctness of the paper's conclusion was 94%.
Because of its uses in interaction between humans and computers, spoken language interpretation, and robotics, hand gesture recognition is a rapidly expanding topic of study. The most common and crucial method of communication in our world today are hand gestures.
Keywords:
Deep learning; Convolution Neural Networks; Hand Gesture Recognition.
Cite Article:
"Hand Gesture Recognition", International Journal of Novel Research and Development (www.ijnrd.org), ISSN:2456-4184, Vol.8, Issue 6, page no.a207-a217, June-2023, Available :http://www.ijnrd.org/papers/IJNRD2306022.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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