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SIBI (Sistem Insyarat Bahasa Indonesia ) Translation Using CONVOLUTIONAL NEURAL NETWORK (CNN)
Arie Rachma Syulistyo, Dhebys Suryani, Pramana Yoga Saputra

Politeknik Negeri Malang


Abstract

Deaf people are one of those with disabilities who cannot speak and hear. Deaf people using sign language for communication who use sign language with hand gestures, body and convey facial expressions using sign language. One important component in sign language is the alphabetical finger or the manual alphabet needed to complete communication. The alphabet of the finger is done by spelling words on spoken language, by spelling letter by letter using a finger. This method is used to spell the name or mention the word. However, not everyone understands sign language, so tools needed to bridge communication between people who are deaf with normal people. One solution will be offered is to use computer technology as a tool to recognise sign language. The technology is an automatic language translator system that integrates a webcam as a detection device by using the Convolutional Neural Network (CNN) method.

Keywords: sign language, convolutional neural network

Topic: Information Systems Technology

Link: https://ifory.id/abstract/ADgxzYnQJPu6

Conference: The 1st Annual Advanced Technology, Applied Science, and Engineering Conference (ATASEC 2019)

Plain Format | Corresponding Author (Arie Rachmad Syulistyo)

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