Abstract
A data glove, installed with flex sensors, force sensitive sensors and accelerometer, is built to translate the sign language to text and speech using Arduino Mega as the processing unit and SpeakerJet as voice and sound synthesizer. It is designed not only to assist a hearing-impaired person in conveying messages but also to other people who want to learn the sign language. As an initial operation, the system is designed to translate American Sign Language alphabet and numbers (1-9) to understand how each signing affect the sensors and hence the accuracy of the translation.
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CITATION STYLE
Puasa, G., & Tuah, N. (2019). Data glove for American sign language alphabet and numbers (1-9) translation system. International Journal of Advanced Trends in Computer Science and Engineering, 8(4), 1128–1133. https://doi.org/10.30534/ijatcse/2019/20842019
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