Please use this identifier to cite or link to this item: https://gnanaganga.inflibnet.ac.in:8443/jspui/handle/123456789/875
Title: Automated Wheelchair Controller System using IoT
Authors: Rajath, V
Shekarappa G, Swetha
Senbagavalli, M
Keywords: GPS Tracking
Sensors
Motors
Voice Recognize
Issue Date: 21-Sep-2021
Publisher: International Journal for Research in Applied Science and Engineering Technology
Abstract: The require of numerous paralyzed, disabled and dazzle people groups are fulfilled with manual wheelchair, but it finds troublesome to the impaired people groups to depend upon others continuously and indeed manual wheelchair makes troublesome to function through the joystick. There is a computerized based inquire about going through the wheelchair improvement but through of our framework we utilized sensors and insights-based algorithm which minimize the human exertion conjointly it makes the debilitated individual to function effortlessly without challenges. Our objective is to design and execute a wheelchair with different conceivable outcomes for the impaired people to function a wheelchair through voice acknowledgment, touch show conjointly mechanized GPS tracking moving wheelchair through line taking after. Where debilitated people can effectively connect with wheelchair through any one of these sources conjointly the wheelchair is adjusted without falling utilizing accelerometer sensor conjointly impediment recognizing sensor has been introduced for the security.
URI: https://doi.org/10.22214/ijraset.2021.37997
http://gnanaganga.inflibnet.ac.in:8080/jspui/handle/123456789/875
Appears in Collections:Journal Articles

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