Paper Title
Hand Gesture Recognition
Article Identifiers
Keywords
Deep learning ,Hand gesture recognition, Human-Machine Interface, Resnet Model
Abstract
Hand gesture recognition systems have gotten a lot of interest in recent years due to their wide range of applications and ability to easily connect with machines via human-computer interaction. A survey of modern hand gesture recognition systems is offered in this study. With challenges of gesture system, key issues of hand gesture recognition are highlighted. A review of recent postures and gestures recognition systems is also offered. A summary of hand gesture research results, databases, and a comparison of the main gesture recognition phases are also provided. Finally, the benefits and downsides of the various systems are explored. Crop inspections are now partial, expensive, and time-consuming. Chronological satellite photos of crops can be used to train and model neural networks for detecting illicit crops, but if we wish to do inter or intra class classification on various crops, the prediction will degrade due to the lack of information in satellite images. As a result, we used genuine field photographs to train the model. Once the patterns of a crop have been determined, the neural network's output model may be systematically predicted
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How To Cite (APA)
Bharti Kumari, Himanshi Goel, Shivam Dutt Sharma, & Devesh Singh Chauhan (May-2022). Hand Gesture Recognition. INTERNATIONAL JOURNAL OF NOVEL RESEARCH AND DEVELOPMENT, 7(5), 1327-1330. https://ijnrd.org/papers/IJNRD2205178.pdf
Issue
Volume 7 Issue 5, May-2022
Pages : 1327-1330
Other Publication Details
Paper Reg. ID: IJNRD_181378
Published Paper Id: IJNRD2205178
Downloads: 000122010
Research Area: Computer Science & TechnologyÂ
Author Type: Indian Author
Country: Ghaziabad, Uttar Pradesh, India
Published Paper PDF: https://ijnrd.org/papers/IJNRD2205178.pdf
Published Paper URL: https://ijnrd.org/viewpaperforall?paper=IJNRD2205178
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