In this paper, we propose a method to create an Indian Sign Language dataset using a webcam and then using transfer learning, train a TensorFlow model to create a real-time Sign Language Recognition system. The system achieves a good level of accuracy even with a limited size dataset....
This repository contains the code which can recognise the alphabets in Indian sign language for blind using opencv and tensorflow. - imRishabhGupta/Indian-Sign-Language-Recognition
Sign Language Recognition and Production with Tensorflow and Scikit-learn developed as a final year project for Bachelors in Computer Science. Technologies Prerequisites Install Anaconda Open Jupyter notebook Sign Language Recognition It differentiates between various static hand gestures i.e. images, with...
The Development of Android for Indonesian Sign Language Using Tensorflow Lite and CNN: An Initial Study 2021, Journal of Physics: Conference Series Bidirectional Sign Language Translation 2021, Proceedings - International Conference on Communication, Information and Computing Technology, ICCICT 2021 Sign La...
Sign language recognition using modified deep learning network and hybrid optimization: a hybrid optimizer (HO) based optimized CNNSa-LSTM approach Article Open access 30 October 2024 Introduction Benefiting from a number of attractive features, such as light weight, good compliance, and desirable comf...
Sign Language Recognition (SLR) is a relatively challenging research field which allows opportunity for improvements. In this research, we propose sentence-level SLR using deep learning method by combining Convolutional Neural Network (CNN) and Bidirectional Recurrent Neural Network (Bi-RNN). Specifically...
Recently, automatic sign language recognition field gets a great attention. Machine learning algorithms are mainly used to recognize hand gestures. Most of
https://blog.coast.ai/five-video-classification-methods-implemented-in-keras-and-tensorflow-99cad29cc0b5 https://github.com/harvitronix/five-video-classification-methods Oscar Koller from RWTH Aachen provided an excellent overview of state-of-the-art research on sign language recognition, including ...
SIGN LANGUAGE GESTURE RECOGNITION FROM VIDEO SEQUENCES USING RNN AND CNN The Paper on this work is publishedhere Please do cite it if you find this project useful. :) UPDATE: Cleaner and understandable code. Replaced all manual editing with command line arguments. ...
In the training process, we have used TensorFlow object detection API to train our model. After training the model, we have detected the sign language or hand gestures in real time; with the help of OpenCV-python, we access the webcam and load the configs and trained model, so that we ...