Apr 9, 2025 · isolated & continuous sign language recognition using CNN+LSTM/3D CNN/GCN/Encoder-Decoder

The Realtime Sign Language Detection Using LSTM Model is a deep learning-based project that aims to recognize and interpret sign language gestures in real-time. It utilizes a Long Short-Term Memory (LSTM) neural network architecture to learn and classify sign language gestures captured from a video feed.

The project achieves recognition of Indian Sign Language using hand gestures from live video capture. Implemented using Python with OpenCV, TensorFlow and Keras.

Mar 18, 2023 · This repo contains the official code of our work SAM-SLR which won the CVPR 2021 Challenge on Large Scale Signer Independent Isolated Sign Language Recognition.

Apr 9, 2025 · This repo contains the official code of our work SAM-SLR which won the CVPR 2021 Challenge on Large Scale Signer Independent Isolated Sign Language Recognition.

Jul 24, 2024 · This repo contains the official code of our work SAM-SLR which won the CVPR 2021 Challenge on Large Scale Signer Independent Isolated Sign Language Recognition.

The purpose of this project is to recognize all the alphabets (A-Z) and digits (0-9) of Indian sign language using bag of visual words model and convert them to text/speech. Dual mode of recognition is implemented for better results.

Jul 24, 2024 · Paper list of sign language, including sign language recognition(SLR), sign language translation(SLT) and other interesting work. Quick start your awesome work with us!! 🤟🤟🤟

This will open up the gesture recognition window which will use your webcam to interpret the trained American Sign Language gestures.

This project is a sign language alphabet recognizer using Python, openCV and tensorflow for training InceptionV3 model, a convolutional neural network model for classification. The framework used for the CNN implementation can be found here: Simple transfer learning with an Inception V3 architecture model by xuetsing