Android Based Voice Activated Wheel Chair for Disabled
R.Mohana Priya1, Indhulekha.B2, Riya Johnson3, Arun.V.N4, R.Karthikeyan5
1R. Mohana Priya*, Asst. Prof Gr. II, Department of ECE, Aarupadai Veedu Institute of Technology, Vinayaka Mission’s Research Foundation, Salem, Tamil Nadu, India.
2Indhulekha.B U.G Student, Department of ECE, Aarupadai Veedu Institute of Technology, Vinayaka Mission’s Research Foundation, Salem, Tamil Nadu, India.
3Riya Johnson, U.G Student, Department of ECE, Aarupadai Veedu Institute of Technology, Vinayaka Mission’s Research Foundation, Salem, Tamil Nadu, India.
4Arun.V.N, U.G Student, Department of ECE, Aarupadai Veedu Institute of Technology, Vinayaka Mission’s Research Foundation, Salem, Tamil Nadu, India.
5R. Karthikeyan, Department of Electronics and Communication Engineering, Aarupadai Veedu Institute of Technology, Vinayaka Mission’s Research Foundation, Paiyanoor, India.
Manuscript received on December 13, 2019. | Revised Manuscript received on December 22, 2019. | Manuscript published on January 10, 2020. | PP: 3508-3509 | Volume-9 Issue-3, January 2020. | Retrieval Number: B6578129219/2020©BEIESP | DOI: 10.35940/ijrte.B6578.018520
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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: The aim of the project is to develop a wheel chair which can be controlled by voice of the person. It is based on the speech recognition model. The project is focused on controlling the wheel chair by human voice. The system is intended to control a wheel seat by utilizing the voice of individual. The structure of this framework will be particularly valuable to the crippled individual and furthermore to the older individuals. It is a booming technology which interfaces human with machine. Smart phone device is the interface. This will allow the challenging people to move freely without the assistant of others. They will get a moral support to live independently .The hardware used are Arduino kit, Microcontroller, Wheelchair and DC motors. DC motor helps for the movement of wheel chair. Ultra Sonic Sensor senses the obstacles between wheelchair and its way.
Keywords: Android Application, DC Motors, HC-05 Bluetooth Module, Ultra sonic Sensor, Wheel chair.
Scope of the Article: Collaborative applications