Development of smart glove with mobile app that help normal people to self-learn Malaysian sign language

Wan Mohd Shaharudin, Wan Nur Qistina (2020) Development of smart glove with mobile app that help normal people to self-learn Malaysian sign language. Project Report. Universiti Teknikal Malaysia Melaka, Melaka, Malaysia. (Submitted)

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Abstract

Sign language was used as a means of communicating over many centuries ago, where this language is a combination of gestures or corporal movement and facial expressions to express the thoughts of a speaker. Learning sign language can be problematic and confusing for ordinary people, where most of them do not have the basics of the word. Besides that, learning any language after a certain age is more challenging, and sign language is not common in an ordinary school. The goal is to develop a system that can transcend the barrier of contact between the deaf/mute people and ordinary people. Next, this research paper aims to develop an intelligent glove with a mobile application that can help ordinary people learn the Malaysian Sign Language (MSL) for themselves. The Malaysia's deaf community adopts a variant of sign language, which is the Malaysian Sign Language (MSL) was modified from the American Sign Language, and most people in this community regard sign language as their primary means of communication. This paper addresses the issue of the recognition system for sign languages, which aims to help the disabled communicate with ordinary persons. Therefore, in this project, hand gesture recognition technologies will use the dataglove method, which utilizes individual glove-based devices to capture hand posture and movement. This glove uses a microcontroller such as Arduino as processor and accelerometer as a sensor to recognize hand gestures defined by alphabet, number, and several Malaysian Sign Language words. The hand gesture data will attach to the Bluetooth module and show message and speech to the android mobile application. In conclusion, this project is focusing on helping normal people self-learning in reducing the gaps between people with disabilities.

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