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Title: AutoGstr: Relatively Accurate Sign Language Interpreter
Authors: Gupta, Devashish
Mohanty, Jaganath Prasad
Swain, Ayas Kant
Mahapatra, Kamalakanta
Keywords: Deep learning
Hand gesture recognition
Sign language interpreter
Human-machine interface
Convolutional neural network
Raspberry pi
Issue Date: Dec-2019
Citation: 5th IEEE International Symposium on Smart Electronic Systems ( IEEE-iSES 2019 ) Rourkela, India, 16- 18 December 2019.
Abstract: Hand gesture recognition is the one of the method to identify the hand position, its pattern and then translate it to the corresponding meaning or purpose. This paper contributes a real time sign language interpretation of hand gestures based on deep convolutional neural networks with focus on development of a cost-effective and efficient hardware prototype for communication ease with deaf and dumb people.
Description: Copyright of this document belongs to proceedings publisher.
Appears in Collections:Conference Papers

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