Call for Paper

CAE solicits original research papers for the July 2021 Edition. Last date of manuscript submission is June 30, 2021.

Read More

MEMS based Wheel Chair for Physically Challenged Persons

K. Vidyasagar, M. Sundarao, M. Sumalatha. Published in Artificial Intelligence.

Communications on Applied Electronics
Year of Publication: 2015
Publisher: Foundation of Computer Science (FCS), NY, USA
Authors: K. Vidyasagar, M. Sundarao, M. Sumalatha
10.5120/cae2015651732

K Vidyasagar, M Sundarao and M Sumalatha. Article: MEMS based Wheel Chair for Physically Challenged Persons. Communications on Applied Electronics 2(4):19-23, July 2015. Published by Foundation of Computer Science (FCS), NY, USA. BibTeX

@article{key:article,
	author = {K. Vidyasagar and M. Sundarao and M. Sumalatha},
	title = {Article: MEMS based Wheel Chair for Physically Challenged Persons},
	journal = {Communications on Applied Electronics},
	year = {2015},
	volume = {2},
	number = {4},
	pages = {19-23},
	month = {July},
	note = {Published by Foundation of Computer Science (FCS), NY, USA}
}

Abstract

With the advancement of science and Technology an innovative mechanism is adopted to provide the assistance for physically challenged personalities. Spinal card injury persons and physically challenged persons required human assistance to move from one point to another point. Electronics interfaced Wheel chair had designed to move without any assistance. Micro Elelctro Mechanical Systems (MEMS) based accelerometer sensor is used to direct the movement of the device. The wheel chair may move forward, backward, left and right directions based on the output signal of the MEMS device. Two ‘Jonson’ geared motors are attached to the geared sector assembly. PIC16F72 micro controller is used to release the appropriate signals to the motor driving circuit. The developed wheel chair is best suited to meet the challenges of the physically challenges personalities.

References

  1. Javajji Veeraiah et.al, “Accelerometer Based Gesture Recognisation for Wheel Chair Direction Control sing ZIGBEE Protocol” , International Journal of Technological Exploration and Learning, vol 2(2) : 104-108, April 2013.
  2. Diksha Goyal and Dr. S.P.S. Saini,” Accelerometer Based Hand Gesture Controlled Wheelchair”, International Journal on Emerging Technologies 4(2): 15-20, 2013.
  3. Sukhmeet Kaur and Hem Chand Vashist, “Sukhmeet Kaur1 and Hem Chand Vashist2” , Advance in Electronic and Electric Engineering, Volume 3( 2): 227-232, 2013.
  4. Mohammed Asgar et.al, “Automated innovative wheel chair ”, International Journal of Information Technology Convergence and Services (IJITCS) Vol.3, No.6, December 2013.
  5. Shaik Meeravali, M . Aparna, “Design and Development of a Hand-glove Controlled Wheel Chair Based on MEMS” , International Journal of Engineering Trends and Technology (IJETT) – Volume 4( 8): 3706-3712, August 2013
  6. N.V.MaruthiSagar,” MEMS Based Gesture Controlled Robot Using Wireless Communication “,International Journal of Engineering Trends and Technology, Vol 14 (4): 185-188, Aug 2014
  7. Mohammed Ismail.B et.al ,” Head Gesture Based Control of Wheelchair for a Paralysed Person in an Indoor Environment” , international journal of innovative research in electrical , electronics, instrumentation and control engineering, Vol. 2(10):2079-2083, October 2014
  8. Prof. Vishal V.Pande, et.al, “Hand Gesture Based Wheelchair Movement Control for Disabled Person Using MEMS”, Journal of Engineering Research and Applications, Vol 4 (4): 152-158, April 2014.
  9. B. Ramana Reddy , J. V. Sharma, “Movement based and Voice enabled Device Switching for basic needs of Physically Challenged Persons” , International Journal of Science and Research, Vol. 2(3):137-139, March 2013

Keywords

MEMS, Wheel chair & PIC16F72