Open Access Journal

ISSN : 2394 - 6849 (Online)

International Journal of Engineering Research in Electronics and Communication Engineering(IJERECE)

Monthly Journal for Electronics and Communication Engineering

Open Access Journal

International Journal of Engineering Research in Electronics and Communication Engineering(IJERECE)

Monthly Journal for Electronics and Communication Engineering

ISSN : 2394-6849 (Online)

Mems Based Wheel Chair For Physically Handicap People

Author : Shubham Singh 1 Rahul Vibhute 2 Sourabh Power 3

Date of Publication :8th February 2017

Abstract: This paper is to develop a wheel chair control which is useful to the physically disabled person with his hand movement or his hand gesture recognition using Acceleration technology. Tremendous leaps have been made in the field of wheelchair technology. However, even these significant advances haven’t been able to help quadriplegics navigate wheelchair unassisted. It is wheelchair which can be controlled by simple hand gestures. It employs a sensor which controls the wheelchair hand gestures made by the user and interprets the motion intended by user and moves accordingly. In Acceleration we have Acceleration sensor. When we change the direction, the sensor registers values are changed and that values are given to microcontroller. Depending on the direction of the Acceleration, microcontroller controls the wheel chair directions like LEFT, RIGHT, FRONT, and BACK. The aim of this paper is to implement wheel chair direction control with hand gesture reorganization.

Reference :

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    [2] Shilpa Gulati, Benjamin Kuipers2008. “High Performance Control for Graceful Motion of an Intelligent Wheelchair” .Proceedings of the IEEE International Conference on Robotics and Automation (ICRA).

    [3] Asebrandt, Susanne iwarsson and Agnetasta, "Older People Use of Powered Wheelchairs for Activity And Participation, Taylor and Francis health Sciences.

    [4] Ren C. Luo, Tse Min Chen, Chi-Yang Hu, and Zu, Adaptive Intelligent Assistance Control of Electrical Wheelchairs by Grey-Fuzzy Decision-Making Algorithm.

    [5] Yoshinori Kunotl, Teruhisa Murashimat ,Nobutaka Shimadat and Yoshiaki Shirait Interactive Gesture Interface for Intelligent Wheelchairs.

    [6] Donald P. Massa, ‗Choosing an Ultrasonic Sensor for Proximity or Distance Measurement Part 1: Acoustic Considerations„.


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