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All Journal IAES International Journal of Artificial Intelligence (IJ-AI)
Obada Al-Khatib
University of Wollongong
Computer Science & IT Engineering

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Glove based wearable devices for sign language-GloSign Soly Mathew Biju; Obada Al-Khatib; Hashir Zahid Sheikh; Farhad Oroumchian
IAES International Journal of Artificial Intelligence (IJ-AI) Vol 12, No 4: December 2023
Publisher : Institute of Advanced Engineering and Science

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.11591/ijai.v12.i4.pp1666-1676

Abstract

Loss of the capability to talk or hear has psychological and social effects onthe affected individuals due to the absence of appropriate interaction. SignLanguage is used by such individuals to assist them in communicating witheach other. This paper proposes a glove called GloSign that can convertAmerican sign language to characters. This glove consists of flex and inertialmeasurement unit (IMU) sensors to identify gestures. The data from glove isuploaded on IoT platform, which makes the glove portable and wireless. Thedata from gloves is passed through a k-nearest neighbors (KNN) Algorithmmachine learning algorithm to improve the accuracy of the system. Thesystem was able to achieve an accuracy of 96.8%. The glove can also be usedto form sentences. The output is displayed on the screen or is converted tospeech. This glove can be used in communicating with people who don’t knowsign language.
Co-Authors Farhad Oroumchian Hashir Zahid Sheikh Soly Mathew Biju