Remote control wheelchair with falling detection system

Kamarudin, Afzan and Hussin, Razaidi and Wan Aziz, Wan Azlianawati and Abu Bakar, Norlida and Rajalee, Muhammad Fikri Adib (2022) Remote control wheelchair with falling detection system. APS Proceedings, 1 (1): 23. pp. 162-165. ISSN 003428568-X

Official URL: https://www.researchgate.net/publication/365013388...

Abstract

A Smart Wheelchair is a Power Wheelchair outfitted with several sensors, assistive technologies, and computers. This allows a person with a disability, such as an impairment, or permanent damage, to move freely and safely. These wheelchairs are gradually replacing ordinary wheelchairs; however, expensive pricing prevents many disabled individuals from purchasing them. According to the WHO, only 5-15 percent of the world's 70 million disabled persons have access to wheelchairs. Thus, wide research has been done in recent years to help disabled people to own wheelchairs. With the advancement of technology, the design of wheelchairs also evolves from manual handling to the one with artificial intelligence. Some of the designs imply Internet-of-things to operate the wheelchair. In this project, a prototype of a smart wheelchair with a falling detection system has been developed. This special feature is added to notify the caretaker if something happened to the person under their care. The system develops by using Arduino UNO, Bluetooth module, and the notification system using the IFTTT platform.

Metadata

Item Type: Article
Creators:
Creators
Email / ID Num.
Kamarudin, Afzan
afzan@unimap.edu.my
Hussin, Razaidi
shidee@unimap.edu.my
Wan Aziz, Wan Azlianawati
wanazlianawati@unimap.edu.my
Abu Bakar, Norlida
norlida@unimap.edu.my
Rajalee, Muhammad Fikri Adib
UNSPECIFIED
Subjects: R Medicine > RM Therapeutics. Pharmacology > Rehabilitation therapy
T Technology > TJ Mechanical engineering and machinery > Mechanical movements
Divisions: Universiti Teknologi MARA, Kelantan > Machang Campus > Faculty of Information Management
Journal or Publication Title: APS Proceedings
ISSN: 003428568-X
Volume: 1
Number: 1
Page Range: pp. 162-165
Keywords: Fall detection systems, People with disabilities, Smart wheelchairs
Date: 2022
URI: https://ir.uitm.edu.my/id/eprint/135956
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