Hand Sign Language Translator Using Motion Sensor

Md Taufiq, Muhammad Qamar Azfar (2018) Hand Sign Language Translator Using Motion Sensor. Project Report. UTeM, Melaka, Malaysia. (Submitted)

Text (24 Pages) Hand Sign Language Translator Using Motion Sensor.pdf - Submitted Version Download (309kB)

Abstract

Hearing impairment and Speech impairment are form of disabilities that faced by a minor group of the society. By having those conditions will not only cause them a difficulty to communicate with the rest of people in the society, but also makes them hard to express their message. The main reason of this project is to break the barrier between deaf or mute community with the rest of the community by translating hand sign language into readable text. This project also can be access by everyone, it’s like a platform that can allow anyone to access the algorithm anywhere. To make sure that this project achieves this target, an American Sign Language (ASL) Translator was created to translate ASL hand sign to readable English text. The LEAP Motion technology was implemented in this project to capture ASL fingerspelling hand sign gesture that been displayed by the user. The captured data is then being processed, recognized and classified into English letters. The translation letters will be displayed in the web so that user can know what have been translate. The average accuracy for all translation are more than 90% for pose and more than 65% for gesture. So, this technology can be used widely by all people so it can help translate the sign language into readable text.

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