Term 1 Project 3 Design a Sign Language Recognition System by Luke Schoen for Udacity Artificial Intelligence Nanodegree (AIND)

Course Work (Russian Sign Language Recognition System)

We help the deaf and the dumb to communicate with normal people using hand gesture to speech conversion. In this code we use depth maps from the kinect camera and techniques like convex hull + contour mapping to recognise 5 hand signs

Projects from Udacity's Artificial Intelligence Nanodegree (August 2017 cohort) - TERM 1.

Dataset + convolutional neural network for recognizing Italian Sign Language (LIS) fingerspelling gestures

Implementation for American Sign Language Recognition through Deep Learning

Simple Sign Language Detector

American Sign Language Character Recognition

ASL alphabet and digits recognition from human gestures and gesture controlled calculator Using CNN-Keras-tensorflow.

This is a demonstration of hand pose recognition implemented using a Flask backend and the Indian Sign Language Translator API. It is now hosted on an AWS instance at http://18.236.194.220:5000/

In this repository, we aim to predict sign language gestures.

🙌 A collection of awesome Sign Language projects and resources 🤟

The purpose of the Sign-Interfaced Machine Operating Network, or SIMON, is to develop a machine learning classifier that translates a discrete set of ASL sign language presentations from images of a hand into a response from another system.

Android application which uses feature extraction algorithms and machine learning (SVM) to recognise and translate static sign language gestures.

This project recognizes sign language from 0 to 5, which uses basic structure of TensorFlow.