A Cost Effective Design and Implementation of Arduino Based Sign Language Interpreter

Abstract

People suffering from listening impairment and voice disability usually make use of different sign of symbols and languages for their communication purpose. Sign languages are generally dependent on hand-driven gesticulations with various motions explicit to that particular language by which these people communicate. In sign language, gesticulation is basically specific movements of our hands with an explicit form build out of them. Current research focuses on converting the hand gesticulations based on electronic devices. The devices will basically convert the sign language into its speech form to build the communication gap among the voiceless societies with the normal people. Here cloth driven gloves are being used which are Bluetooth-enabled. The glove is tailored with one accelerometer and five flexible sensors. The sensor placement is length ways of each of the fingers with the thumb. This work will facilitate the silent people to make different hand gesticulations wearing this gloves, and these intern will be transformed into respective speeches to the normal peoples recognition. In this case flexible sensors has a key role to play. Also the resistance value change generating from the extent of curvature of the sensors in combination with accelerometer value of slant position of hand to the land surface is measured. This acquired data is further managed by microcontroller module and can be transmitted to any smart-phone user via Bluetooth connectivity. A developed application can further be used to transform the data into text liable to the hand shape detected and will produce a voice signal.