According to a report from the World Health Organization, every year, 250,000-500,000 new spinal cord injuries occur around the world. A spinal cord injury shatters people’s lives in a fraction of a second, leaving them paralyzed for the rest of their lives. To aid paraplegics, variety of electric wheelchairs exists, but these cannot be used by quadriplegics, i.e. persons who cannot move any of their body parts, except head. The concept of Smart Wheelchair is implemented to facilitate locomotion and localization of the quadriplegics. We use MEMS sensor to detect the head movements and corresponding signal is fed to the microcontroller. The microcontroller controls the wheelchair directions with the help of motor drive circuits. We also include the eye blink sensor and voice recognition sensors to overcome the limitations of the existing systems.
 AshaArvind, Harikrishnan R, “Head Movement Controlled Wheelchair Using Mems Sensors”, International Research Journal of Engineering and Technology, Vol.3, Issue 5, P. 1135-1138, May 2016.
 Satish Kumar, Dheera, Neeraj, Sandeep Kumar, “Design and Development of Head Motion Controlled Wheelchair”, International Journal of Advances in Engineering and Technology, Vol.8, Issue 5, P. 816-822, October 2015.
 Collen Nelson, Nikitha S Badas, Saritha I G, Thejaswini S, “Robotic Wheelchair Using Eye Blink Sensors and Accelerometer Provided with Home Appliance Control”, International Journal of Engineering Research and Applications, Vol.4, Issue 5, P.129-134, May 2014.
 Saravanan P.D, Ramakrishnan M, Ligi K, “Auto-comforted Wheelchair System for Physically Challenged”, IEEE 2nd International Conference on Knowledge Collaboration in Engineering, P.27-28, March 2015.
 RamanpreetKaur, Satvir Singh, BikrampalKaur, “Technology for the Aid of Quadriplegics”, an International Journal of Engineering Sciences, Vol.17, P.277-281, January 2016.
 Abhishek Gupta, Neeraj Joshi, Nikhil Chaturvedi, Sonam Sharma, VikashPandar, “Wheelchair Control by Head Motion Using Accelerometer”, International Journal of Electrical and Electronics Research, Vol.4, Issue 1, P.158-161, March 2016.
 Ali A. Abed, “Design of Voice Controlled Smart Wheelchair”, International Journal of Computer Applications, Vol.131, Issue 1, P.32-38, December 2015.
 Rajesh Tiwary, “Robotic Arm with Voice Controlled and Image Processing: - A Review”, the Journal of Science, Technology and Humanities, 2015.
 Mehulpatel, RishikeshBhavsar, “Design and Implementation of Brain Controlled Wheelchair”, International Research Journal of Engineering and Technology, Vol.4, Issue 3, P. 599-602, March 2017.
 SelvaganapathyMonoharan, NishavithriNatarajan, “Brain Controlled Wheelchair for Physically Challenged People using Neuro-Sky Sensor”, International Journal of Innovative Research in Science, Engineering and Technology, Vol.4, Issue 12, P.11985-11992, December 2015.
 Deepa K B, Chaitra M, Ankit Kumar Sharma, Sreedhar V S, Prashanth Kumar H.K, “Accident Prevention by Eye Blink Sensor and Alcohol Detector”, International Journal of Engineering Research, Vol.4, Issue 7, P.351-354, July 2015.
 Rahul Agarwal, AkramSiddiqui, Kuvendra Singh, ArjunSolanki, LavitGautam, “A Voice Controlled Wheel Chair Prototype for a Medically Challenged”, International Journal of Engineering Trends and Technology, Vol.34, Issue 2, P.55-57, April 2016.
 Musa HakanAsyali, Mustafa Yilmaz, Mahmut Tokmakci, “Design and Implementation of a Voice Controlled Prosthetic Hand”, Turkish Journal of Electrical Engineering and Computer Science, Vol.19, Issue 1, P.33-46, 2011.
 Shyam.R. Nair, Shalini. R. Nair, “Design of a Voice Controlled Robotic Arm for Picking and Placing an Object”, IOSR Journal of Engineering, Vol.2, Issue 4, P.670-673, April 2012.
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