Automatic ASL Gesture Recognition System Using Convolutional Neural Network
Abstract
American Sign Language Gesture Recognition project aims to develop a model which can recognize different sign language gestures used by people who are deaf or hard of hearing and also who are able to hear them but cannot physically speak. It is based on HumanMachine Interaction, which is a broad research field with application in Robotics, Gaming, and Home Automation etc. This system helps people to understand the sign language and makes the communication with deaf and dumb people easier. The proposed model uses concepts of deep learning, specifically Convolution Neural Network for training and testing the model.
References
Using Convolutional Neural Networks,” Eur. Conf. Comput. Vis., pp. 572–578, 2015. [
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