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GESTURE SUPPORTED GLOVES WITH SMART GLASS FOR PEOPLE WITH SPEECH DISORDER

Jayien Mathew1, Henna Maria2, Anuja Anilkumar3, Meera C Haridas4

1Jayien Mathew Computer Science Engineering & Kottayam Institute of Technology and Science

2Henna Maria Computer Science Engineering & Kottayam Institute of Technology and Science

3Anuja Anilkumar Computer Science Engineering & Kottayam Institute of Technology and Science

4Meera C Haridas Computer Science Engineering & Kottayam Institute of Technology and Science

5Akhija Lakshmi R Computer Science Engineering & Kottayam Institute of Technology and Science

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Abstract - A person's capacity to make the sounds that form words are impacted by speech problems. In order to facilitate easier communication between speech-impaired persons and non-impaired people utilising synthesised speech, our approach describes a smart speaking glove. Flex sensors built into a smart glove have resistance values that alter based on the gesture the user specifies. This gesture data is analysed by a microcontroller, and a coupled Android device provides the accompanying vocal output. Also, a smart glass is provided which is connected with the hand gloves which will show the important text messages on the glass and also an accelerometer is provided within the glass for doing head movement detection, which can be also utilized for controls. We use MQTT protocol for transmission in this system. Disabled people utilise sign language as a means of communication. Here we are converting sign language into text and then to speech, utilizing data gloves communication barrier between two different communities is eliminated. By using data gloves, people with disabilities may advance in their careers and help the country as a whole as there are millions of them.

Key Words:  Artificial Neural Network (ANN), Analog Digital Converter (ADC), Message Quaking Telemetry Transport (MQTT), Micro-Controller Unit (MCU), Organic-Light Emitting Diode (OLED).