Abstract
The most effective and powerful way of sharing our thoughts and emotions is through speech. A small fraction of the entire population is comfortable communicating through sign language. The speech-impaired people have a difficult time conveying their thoughts to others. The proposed model is based on a flex sensor mounted on a glove and interfaced with an Arduino UNO. The proposed idea is to make a glove that can be worn by speech-impaired people which will further be used to convert sign language into speech and text. The prototype involves Arduino Uno as a microcontroller which is interfaced with flex sensors for reading the gestures. This paper aims to bridge this gap by facilitating communication between moronic and hard-of-hearing people on the one hand, and regular people on the other, by introducing a practical electronic device that translates finger pushes into content and dialog.
Deepti Kakarla, Aruna Deepti and K. R. Deepti—These authors contributed equally to this work.
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Chikyal, N., Kakarla, D., Deepti, A., Deepthi, K.R. (2023). Smart Assistant for Challenged People Using Embedded Systems. In: Kumar, A., Ghinea, G., Merugu, S. (eds) Proceedings of the 2nd International Conference on Cognitive and Intelligent Computing. ICCIC 2022. Cognitive Science and Technology. Springer, Singapore. https://doi.org/10.1007/978-981-99-2746-3_20
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DOI: https://doi.org/10.1007/978-981-99-2746-3_20
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