GIVENING VOICE TO MUTE PEOPLE USING FLEX SENSOR
Jori Ashwini Sanjay, Dolas Ashvini Shesherao, Gaikwad Prajakta Chandrakant · International journal of advance research and innovative ideas in education · 2016
Communication problem between deaf-mute and a normal person have always been a difficult task. The paper illustrate to aid people by means of a glove based deaf-mute communication translator system. The glove is internally fitted out with five flex sensors, tactile sensors and accelerometer. For each particular movement, the flex sensor produces a proportional change in resistance and accelerometer measures the emplacement of hand. The processing of these movements is done by Microprocessor. The system includes a text to speech conversion (TTS) block which interprets the matched gestures i.e. text to speech output.Hand gesture is one of the typical methods used in sign language for non-verbal communication. It is most commonly used by deaf and dumb people to communicate among themselves or with normal people. Various sign language systems have been formulated by manufacturers around the world but they are neither adaptable nor cost-effective for the actual users. This paper presents a system prototype that is able to automatically recognize sign language to help normal people to communicate more effectively with the diminished people. The Sign to Voice system prototype, S2V, was developed using Feed Forward Neural Network for two-sequence signs detection.Mute people can’t speak and normal people don’t know the sign language which is used for inter communication between mute people. This system will be useful to solve this problem.