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International Journal of Innovation and Scientific Research
ISSN: 2351-8014
 
 
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IR SENSOR BASED WHEELCHAIR SYSTEM USING RASPBERRY PI FOR CHARCOT-MARIE-TOOTH


Volume 22, Issue 2, April 2016, Pages 318–322

 IR SENSOR BASED WHEELCHAIR SYSTEM USING RASPBERRY PI 
FOR CHARCOT-MARIE-TOOTH

M. Manimaraboopathy1, M. Anto Bennet2, P. Priyanka3, K. Soniya4, and S. Sudha5

1 Assistant Professor, Department of Electronics and Communication Engineering, VELTECH, Chennai-600062, India
2 Professor, Department of Electronics and Communication Engineering, VELTECH, Chennai-600062, India
3 UG Student, Department of Electronics and Communication Engineering, VELTECH, Chennai-600062, India
4 UG Student, Department of Electronics and Communication Engineering, VELTECH, Chennai-600062, India
5 UG Student, Department of Electronics and Communication Engineering, VELTECH, Chennai-600062, India

Original language: English

Copyright © 2016 ISSR Journals. This is an open access article distributed under the Creative Commons Attribution License, which permits unrestricted use, distribution, and reproduction in any medium, provided the original work is properly cited.

Abstract


The work depends on the development of a wheelchair that can be a fully automatic navigation system. It provides flexible operation to choose different modalities to command the wheel chair, this method is very useful to a people who can affected for charcot-marie-tooth disease. Patients can command the wheelchair based on their eye blinks, eye movement. The wheelchair can operate like an auto-guided vehicle, following IR sensor way. The digital commends from the IR sensor is moved to raspberry pi. It provides commands to be sent to the wheelchair. Several experiments are used in this technique to introduce an effective wheelchair for disabled persons.

Author Keywords: IR sensor, Raspberry pi 2 model B+, Temperature sensor, Heart beat sensor, Ultrasonic sensor and Robotic wheelchair.


How to Cite this Article


M. Manimaraboopathy, M. Anto Bennet, P. Priyanka, K. Soniya, and S. Sudha, “IR SENSOR BASED WHEELCHAIR SYSTEM USING RASPBERRY PI FOR CHARCOT-MARIE-TOOTH,” International Journal of Innovation and Scientific Research, vol. 22, no. 2, pp. 318–322, April 2016.