AI POWERED SMART WHEELCHAIR

Anurag Rajput , Nikhil Patale , Saifuddin Telia , Vishal Lodhari , Shiburaj Pappu

Node MCU esp 82668266 microcontroller, Motor Driver IC L293D, DC motors, Smart Wheelchair, android app controller, Voice Recognition

Dozens of people are suffer from temporary or permanent disabilities due to health issues or accidents. For cases of difficult, pain or impossible walking, the use of a power wheelchair is becoming really important. Manual or electrical wheelchairs do perform their work for most of the low and medium level disability cases. Though many disabled people stay satisfied with traditional manual or powered wheelchairs, there is a segment of disabled community which finds it difficult or impossible to use wheelchairs independently without any help. In such cases users often lack independent mobility. Researchers involved in medical industry are aiming at designing smart wheelchairs as viable solutions. Various wheelchairs have been created already. Many other wheelchairs have been created by using brain signals, vision dependence and head gestures. The undermined project is to design a smart wheelchair using voice recognition and an android application. The user can use it with comparatively less effort in an easy, independent and efficient manner.

Published Paper   E-Certificate

"AI POWERED SMART WHEELCHAIR", IJSDR - International Journal of Scientific Development and Research (www.IJSDR.org), ISSN:2455-2631, Vol.3, Issue 11, page no.26 - 30, November-2018, Available :https://ijsdr.org/papers/IJSDR1811006.pdf

Volume 3 Issue 11, November-2018

Pages : 26 - 30

Paper Reg. ID: IJSDR_180732

Published Paper Id: IJSDR1811006

Downloads: 000347075

Research Area: Engineering

Country: Mumbai, Maharashtra, India

Published Paper PDF: https://ijsdr.org/papers/IJSDR1811006

Published Paper URL: https://ijsdr.org/viewpaperforall?paper=IJSDR1811006

ISSN: 2455-2631 | IMPACT FACTOR: 9.15 Calculated By Google Scholar | ESTD YEAR: 2016

An International Scholarly Open Access Journal, Peer-Reviewed, Refereed Journal Impact Factor 9.15 Calculate by Google Scholar and Semantic Scholar | AI-Powered Research Tool, Multidisciplinary, Monthly, Multilanguage Journal Indexing in All Major Database & Metadata, Citation Generator

Publisher: IJSDR(IJ Publication) Janvi Wave

This work is licensed under a Creative Commons Attribution 4.0 International License and The Open Definition