Paper Title
REAL-TIME HAND GESTURE RECOGNITION FOR SIGN LANGUAGE INTERPRETATION AND TEXT GENERATION
Article Identifiers
Authors
Prince Sindhu , Anshika Sahai , Kavya Tewari , Pragya Verma , Prof(Dr) Shailendra Narayan Singh
Keywords
Computer Vision, Conventional Neural Network (CNN), Artificial Neural Network (ANN), Machine Learning, Gesture Recognition, Sign Language Recognition, Hue Saturation Value Algorithm (HSV)
Abstract
Effective communication with individuals who have hearing loss can be challenging, but sign language has emerged as a successful solution for those with hearing and speech disabilities. Sign language facilitates integration between individuals with disabilities and those without. However, it can be difficult for those who do not know sign language or understand it in a foreign language to interpret the hand gestures accurately. Fortunately, recent advancements in technology have provided new solutions to bridge this communication gap. A new study focuses on using a web camera to capture hand gestures, which are then identified by the system and displayed as an image name. The system uses the HSV color algorithm to detect hand motions and various computer vision methods to process the images. The area of interest, such as the hand motion, is then separated and analyzed using binary pixels. The system employs Convolutional Neural Networks (CNN) to classify the images, resulting in a high level of accuracy of over 95 percent.
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How To Cite (APA)
Prince Sindhu, Anshika Sahai, Kavya Tewari, Pragya Verma, & Prof(Dr) Shailendra Narayan Singh (April-2023). REAL-TIME HAND GESTURE RECOGNITION FOR SIGN LANGUAGE INTERPRETATION AND TEXT GENERATION. INTERNATIONAL JOURNAL OF NOVEL RESEARCH AND DEVELOPMENT, 8(4), g223-g227. https://ijnrd.org/papers/IJNRD2304628.pdf
Issue
Volume 8 Issue 4, April-2023
Pages : g223-g227
Other Publication Details
Paper Reg. ID: IJNRD_192820
Published Paper Id: IJNRD2304628
Downloads: 000121983
Research Area: Computer Science & TechnologyÂ
Country: Noida, Uttar Pradesh, India
Published Paper PDF: https://ijnrd.org/papers/IJNRD2304628.pdf
Published Paper URL: https://ijnrd.org/viewpaperforall?paper=IJNRD2304628
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Journal Name: INTERNATIONAL JOURNAL OF NOVEL RESEARCH AND DEVELOPMENT(IJNRD)
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This work is licensed under a Creative Commons Attribution 4.0 International License and The Open Definition


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