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OverviewA system designed to convert hand sign gestures into voice and text using a Python- based Convolutional Neural Network (CNN) model offers a robust solution for bridging communication gaps. This system leverages computer vision techniques to capture hand gestures, which are then processed by a trained CNN model for recognition. The recognized gestures are subsequently converted into textual output and further synthesized into speech using text-to-speech (TTS) libraries. This approach provides a real- time, accessible method for individuals using sign language to communicate with those unfamiliar with it, enhancing inclusivity and understanding. Full Product DetailsAuthor: Dhanus ManiPublisher: Eliva Press Imprint: Eliva Press Dimensions: Width: 15.20cm , Height: 0.40cm , Length: 22.90cm Weight: 0.104kg ISBN: 9789999330268ISBN 10: 9999330266 Pages: 68 Publication Date: 01 January 2025 Audience: General/trade , General Format: Paperback Publisher's Status: Active Availability: Available To Order We have confirmation that this item is in stock with the supplier. It will be ordered in for you and dispatched immediately. Table of ContentsReviewsAuthor InformationTab Content 6Author Website:Countries AvailableAll regions |
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