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About Deep Learning Based Sign Language Recognition System Using Convolutional Neural Network
The document describes a project report on a deep learning-based sign language recognition system for static signs using convolutional neural networks. The system uses a custom recorded American Sign Language dataset with 150 different gestures to train a CNN-LSTM model to recognize static signs from video streams. The model extracts spatial features from frames using a CNN and temporal features across frames using an LSTM to recognize gestures. The project aims to develop a system for sign language recognition without requiring internet or specialized devices.
Detailed Information
Author: | ['cse 2k21'] |
---|---|
Publication Year: | 2022 |
Pages: | 68 |
Language: | English |
Format: | |
Price: | FREE |
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