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ISSN Approved Journal No: 2455-2631 | Impact factor: 8.15 | ESTD Year: 2016
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Impact factor: 8.15

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Authors Name: Anurag Rajput , Nikhil Patale , Saifuddin Telia , Vishal Lodhari , Shiburaj Pappu
Unique Id: IJSDR1811006
Published In: Volume 3 Issue 11, November-2018
Abstract: 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.
Keywords: Node MCU esp 82668266 microcontroller, Motor Driver IC L293D, DC motors, Smart Wheelchair, android app controller, Voice Recognition
Cite Article: "AI POWERED SMART WHEELCHAIR", International Journal of Science & Engineering Development Research (www.ijsdr.org), ISSN:2455-2631, Vol.3, Issue 11, page no.26 - 30, November-2018, Available :http://www.ijsdr.org/papers/IJSDR1811006.pdf
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Publication Details: Published Paper ID: IJSDR1811006
Registration ID:180732
Published In: Volume 3 Issue 11, November-2018
DOI (Digital Object Identifier):
Page No: 26 - 30
Publisher: IJSDR | www.ijsdr.org
ISSN Number: 2455-2631

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