Glove based wearable devices for sign language-GloSign

Abstract

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.