Glove based wearable devices for sign language-GloSign

Soly Mathew Biju, Obada Al-Khatib, Hashir Zahid Sheikh, Farhad Oroumchian


Loss of the capability to talk or hear has psychological and social effects on
the affected individuals due to the absence of appropriate interaction. Sign
Language is used by such individuals to assist them in communicating with
each other. This paper proposes a glove called GloSign that can convert
American sign language to characters. This glove consists of flex and inertial
measurement unit (IMU) sensors to identify gestures. The data from glove is
uploaded on IoT platform, which makes the glove portable and wireless. The
data from gloves is passed through a k-nearest neighbors (KNN) Algorithm
machine learning algorithm to improve the accuracy of the system. The
system was able to achieve an accuracy of 96.8%. The glove can also be used
to form sentences. The output is displayed on the screen or is converted to
speech. This glove can be used in communicating with people who don’t know
sign language.


Glove; Pattern recognition gesture; recognition; Sign language sensor

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IAES International Journal of Artificial Intelligence (IJ-AI)
ISSN/e-ISSN 2089-4872/2252-8938 
This journal is published by the Institute of Advanced Engineering and Science (IAES) in collaboration with Intelektual Pustaka Media Utama (IPMU).

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