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International Journal for Research Trends and Innovation
International Peer Reviewed & Refereed Journals, Open Access Journal
ISSN Approved Journal No: 2456-3315 | Impact factor: 8.14 | ESTD Year: 2016
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Impact Factor : 8.14
Issue per Year : 12
Volume Published : 11
Issue Published : 118
Article Submitted : 21470
Article Published : 8508
Total Authors : 22383
Total Reviewer : 805
Total Countries : 157
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Published Paper Details
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| Paper Title: | Hand Gesture Recognition System |
| Authors Name: | Diya Hemant Munot , Siddhi Gunjal , Sanchita Bera , Dnyaneswari Bhosale , Sheetal Sapate |
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IJRTI_189501
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| Published Paper Id: | IJRTI2404010 |
| Published In: | Volume 9 Issue 4, April-2024 |
| DOI: | |
| Abstract: | : Hand Gestures are mainly used by deaf and dumb people to exchange information between their own community and with other people. It is a language where people use their hand gestures to communicate as they can't speak or hear. Hand Gesture Recognition deals with recognizing the hand gestures achievement and continues till text or speech is generated for corresponding hand gestures. Here hand gestures for sign language can be classified as static and dynamic. However, static hand gesture recognition is simpler than dynamic hand gesture recognition, but both recognition is important to the human community. We can use Deep Learning Computer Vision to recognize the hand gestures by building Deep Neural Network architectures (Convolution Neural Network Architectures) where the model will learn to recognize the hand gestures images over an epoch. Once the model Successfully recognizes the gesture the corresponding English text is generated and then display on the screen. This model will be more efficient and hence communicate for the deaf (hard hearing) and dump people will be easier. We proposed an idea feasible for communication between hearing impaired and normal person with the help of deep learning and machine learning approach. |
| Keywords: | Keywords: Hand Gestures Recognition, Sign Language, Machine Learning, Neural. |
| Cite Article: | "Hand Gesture Recognition System", International Journal for Research Trends and Innovation (www.ijrti.org), ISSN:2455-2631, Vol.9, Issue 4, page no.59 - 65, April-2024, Available :http://www.ijrti.org/papers/IJRTI2404010.pdf |
| Downloads: | 000205423 |
| ISSN: |
2456-3315 | IMPACT FACTOR: 8.14 Calculated By Google Scholar| ESTD YEAR: 2016 An International Scholarly Open Access Journal, Peer-Reviewed, Refereed Journal Impact Factor 8.14 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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Published Paper ID: IJRTI2404010
Registration ID:189501
Published In: Volume 9 Issue 4, April-2024
DOI (Digital Object Identifier):
Page No: 59 - 65 Country: pune, Maharashtra, India Research Area: Computer Science & Technology Publisher : IJ Publication Published Paper URL : https://www.ijrti.org/viewpaperforall?paper=IJRTI2404010 Published Paper PDF: https://www.ijrti.org/papers/IJRTI2404010 |
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ISSN: 2456-3315
Impact Factor: 8.14 and ISSN APPROVED,
Journal Starting Year (ESTD) : 2016
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