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Effat Undergraduate Research Journal

Abstract

Abstract. The recent technological advancements are focusing on developing the smart systems to facilitate the subscribers and to improve their lifestyle. The machine learning algorithms and artificial intelligence are becoming the elementary tools, which are used in the establishment of modern smart systems across the globe. In this study, a flex sensors-based Man to Machine Interface (MMI) is proposed. It is beneficial for a category of people with reduced mobility or special needs like deaf, dumb, parallelized, etc. The system prototype is realized by using an array of flex sensors and a front-end processor, wirelessly connected to the central processing unit (CPU) via Smart Phone with android application. It transforms the flex sensors outputs into appropriate audio messages and actuations. It is done in order to convey the message of intended person to normal ones and to perform certain tasks. The prototype is developed and the functionality is successfully tested, and results are presented.

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