Aug 23, 2022 · This program allows for simple and easy communication from Sign Language to English through the use of Keras image analysis models. The code for this project can be found on my GitHub profile, linked below: mg343/Sign-Language-Detection (github.com)

Apr 9, 2025 · Sign Language Gesture Recognition From Video Sequences Using RNN And CNN. Simple sign language alphabet recognizer using Python, openCV and tensorflow for training Inception model (CNN classifier). isolated & continuous sign language recognition using CNN+LSTM/3D CNN/GCN/Encoder-Decoder.

The focus of this work is to create a visionbased application which offers sign language translation to text thus aiding communication between signers and non-signers. The proposed model takes video sequences and extracts temporal and spatial features from them.

Dec 29, 2022 · A survey of the literature for our proposed system reveals that many attempts have been made to solve sign recognition using various methodologies and algorithms. We can facilitate sign language converter in two ways.

Mar 28, 2025 · This study presents a real-time American Sign Language (ASL) interpretation system that integrates deep learning with keypoint tracking to enhance accessibility and foster inclusivity. By combining the YOLOv11 model for gesture recognition with MediaPipe for precise hand tracking, the system achieves high accuracy in identifying ASL alphabet ...

The described system provides a real-time sign language recognition solution using Flask, a web framework, and Keras, a deep learning library. The system employs computer vision techniques to capture video frames from a camera feed and processes them for classification.

With the assis-tance of modern computer vision techniques it is possible for models to be trained to interpret and understand tem-poral and spatial signals. In recent years, researchers have been experimenting with using deep learning to solve this classification problem.

Oct 30, 2024 · Improvements in communication between the deaf and the general public can be progressed by a real-time sign language detector. Recent studies have contributed to make progress in motion and...

Sep 7, 2021 · We conducted a comprehensive review of automated sign language recognition based on machine/deep learning methods and techniques published between 2014 and 2021 and concluded that the...

Riya Sunil Kumar Patel et al (2021), The concept of Language Recognition (SLR) involves developing deep learning models and computer vision that can rec ognize and understand descriptions in images. The aim.