Gesture to voice converter using Arduino
Afzal, Mohammed Ibrahim (14DET69)
Ansari, Naushad Ahmed Aslam (16DET51)
Sonde, Shahrukh Salam (15DET81)
Ansari, Afaque Javed Alam (14DET70)
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Around 5% of the Indian population has difficulty in speaking or cannot speak.So, sign language is a method of non-verbal communication that is used by deaf and dumb people. Normal people do not learn sign language. The problem arises here and this problem becomes a barrier between them. The past implementation of this project involved using image processing concept and accelerometer. But the drawback of these implementations are projects were non portable and too expensive. In this research paper, we have suggested a wearable glove for people who face difficulty in communicating verbally due to various different reasons (be it deaf or dumb), so that with the possession of this device, they can exhibit their basic requirements via their gestures and those gestures will be converted to speech for the hearer to understand what is he or she trying to say. This project Gesture to Voice Converter using Arduino is the better way of representing hand movement data to the normal people. It is the manual communication used by mute people for an effective communication. There are only few who can understand the sign language communicated by the mute community. The model is developed with the help of electronic device in a way that translates the sign language into text and speech in order to communicate in public place. A wired glove is used with flex sensors stitched according to the length of each finger. This paper guides to the developing technology such as digital glove. It investigates the qualities of the gadget and examines future wok. The goal of this paper is to provide innovative framework for this technology.
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