Development of a Sign Language Glove Translator Using Microcontroller and Android Technology for Deaf-Mute
Ana Antoniette C. Illahi, Maria Fides M. Betito, Christine Caryl F. Chen, Christian Vittorio A. Navarro, Irene Victoria L.Or · 2021 IEEE 13th International Conference on Humanoid, Nanotechnology, Information Technology, Communication and Control, Environment, and Management (HNICEM) · 2021
There are about 70 million deaf and mute people in the world using sign language, but apart from them, only a few people know how to communicate with them using sign language. The goal of the project is to develop a sign language glove translator that can convert American Sign Language gestures into text and speech. The prototype can translate within 3 seconds numbers one to ten, alphabet, and 50 basic words/phrases using flex sensors and accelerometer. The output of the translation can be seen through an Android application. The glove translator will be connected through Bluetooth to allow wireless activity. The prototype has an accuracy rate of 95%. The aim of this study is to help the deaf-mute community talk to those that do not understand sign language.