Communication and Obstacle Detection System for the Disabled using Arduino Lilypad
Jincy Das1, Judith Mercy Praveena S2, Mirna Genesia Asian3, A. Monisha4, R. Sindhuja5
1Jincy Das, Assistant Professor, Department of Electronics and Communication Engineering, CSI College of Engineering, Ketti (Tamil Nadu), India.
2Judith Mercy Praveena S, Department of Electronics and Communication Engineering, CSI College of Engineering, Ketti (Tamil Nadu), India.
3Mirna Genesia Asian, Department of Electronics and Communication Engineering, CSI College of Engineering, Ketti (Tamil Nadu), India.
4A. Monisha, Department of Electronics and Communication Engineering, CSI College of Engineering, Ketti (Tamil Nadu), India.
5R. Sindhuja, Department of Electronics and Communication Engineering, CSI College of Engineering, Ketti (Tamil Nadu), India.
Manuscript received on 13 April 2017 | Revised Manuscript received on 20 April 2017 | Manuscript Published on 30 April 2017 | PP: 21-24 | Volume-6 Issue-4, April 2017 | Retrieval Number: D4884046417/17©BEIESP
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© The Authors. Blue Eyes Intelligence Engineering and Sciences Publication (BEIESP). This is an open access article under the CC-BY-NC-ND license (http://creativecommons.org/licenses/by-nc-nd/4.0/)
Abstract: This paper proposes the design of a hand glove using Arduino Lilypad and Zigbee for the people with disability in hearing, speaking and vision. There are nearly 900,000 people who are deaf and dumb and 285 million people who are blind. This device would help for communication by the bending of flex sensors which are fixed on the glove and the obstacles are detected by Ultrasonic sensor. And the combination of input is processed by the microcontroller Arduino Lilypad. The processed value is transmitted through the Zigbee to MicrocontrollerAT89S2051 and the sign language is recognized and the corresponding value is obtained through LCD and speaker. The obstacle is sensed by Ultrasonic sensor and the person is alerted through vibration. The proposed system is compact, wireless and easy to use.
Keywords: Arduino Lilypad, Flex Sensor, Hand Glove, Microcontroller- AT89S2051, Ultrasonic Sensor, Vibration Motor, Voice Module-WTV040, Zigbee-CC2500.
Scope of the Article: Communication Protocol