International Journal of Innovative Research in Engineering & Multidisciplinary Physical Sciences
E-ISSN: 2349-7300Impact Factor - 9.907

A Widely Indexed Open Access Peer Reviewed Online Scholarly International Journal

Call for Paper Volume 12 Issue 3 May-June 2024 Submit your research for publication

Human Machine Interface for Disabled Person

Authors: Jore Shreya, Kamodkar Kunal, Khairnar Poonam, Nalawade Sayali

Country: India

Full-text Research PDF File:   View   |   Download


Abstract: Smart Wheelchair is known as a Power Wheelchair that is integrated into multiple sensors, assistive technology, and computers that give the user with a disability such as impairment, handicaps, and permanent injury, the required mobility to move freely and safely. These types of wheelchairs are gradually replacing the traditional wheelchairs; however, their expensive costs are preventing a large size of disabled people from having one. According to the of World Health Organization (WHO), only 5 to 15 out of 70 million disabled people have access to wheelchairs. Therefore, we need to offer a cost-effective Smart that not only minimized the cost but also provides plenty of features that use the latest components and technologies. In the last years, there have been many pleasant efforts that serve this purpose. They have adopted various technologies such as artificial intelligence, where they have designed an autonomous wheelchair that used machine learning concepts to navigate, and some also used Internet of Thing technology to control the wheelchair-using voice recognition system. With maturity, weak bones and weakness these issues may lead to extend risk of falling. For this purpose, we’ve projected associate degree IoT based mostly good chair which can work as Fall Detection System. This technique uses sensors like Wi-Fi module and a microcontroller that sends the overall info concerning fall. The microcontroller receives all the knowledge from the sensors and constantly transmits and monitors the acceleration and additionally the orientation of the person. Any quick movement or modification among the system which can result from a fall is taken into consideration as a ‘fall’ and can be reportable. A significant concern would be that not all quick movement might find you from a fall and can be thought as a matter of concern. To avoid this Human Machine Interface Wheel Chair for Disabled Person warning we’ve provided to snooze the system. This button is pressed before a particular time of 15-30 seconds to stop the system from deed the alert, therefore avoiding any confusion and panic. Inaudible sensors area unit won’t to discover obstacles. The example is meant in such how that it is often used severally and expeditiously with less effort. It saves time, reduces price and energy of the users. This technique is mounted to the person’s chair.

Keywords: Wheelchair, Python, IoT Authentication


Paper Id: 230137

Published On: 2023-05-19

Published In: Volume 11, Issue 3, May-June 2023

Cite This: Human Machine Interface for Disabled Person - Jore Shreya, Kamodkar Kunal, Khairnar Poonam, Nalawade Sayali - IJIRMPS Volume 11, Issue 3, May-June 2023.

Share this