JOURNAL ARTICLE

Sensor Based Wheelchair by Speech Recognition

Raj Pal SinghSanjeev Kumar GuptaJeeteshSahil SinghAbhishek Yadav

Year: 2022 Journal:   International Journal for Research in Applied Science and Engineering Technology Vol: 10 (5)Pages: 3606-3612   Publisher: International Journal for Research in Applied Science and Engineering Technology (IJRASET)

Abstract

Abstract: According to research there are about 6 million populations in the world who are paralyzed and needs a wheelchair for their mobility. Earlier the wheelchairs had to be moved and be externally supported by any person. To help overcome this “joystick-controlled wheelchairs” are developed. But in regular use, these joystick-controlled wheelchairs became difficult to use. Especially in the case of paralyzed people, the use of joystick became more difficult due to the hard buttons and unidirectional use of the joysticks. To overcome these problems, we’ve tried to develop a “gesture-controlled wheelchair” which can be moved with a slight tilt of the hand. This can be used in both hands and can be controlled to come to the user from a distance. The current work is implemented with Arduino based devices such as Arduino UNO processors and programmed through Arduino IDE. Keywords: Sensor wheelchair, Arduino NANO, L293D, PCB, Bluetooth Module, Arduino IDE

Keywords:
Joystick Wheelchair Arduino Bluetooth Computer science Human–computer interaction Embedded system Simulation Operating system World Wide Web Wireless

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Topics

Gaze Tracking and Assistive Technology
Physical Sciences →  Computer Science →  Human-Computer Interaction
IoT-based Smart Home Systems
Physical Sciences →  Engineering →  Electrical and Electronic Engineering
Hand Gesture Recognition Systems
Physical Sciences →  Computer Science →  Human-Computer Interaction
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