IoT-based smart wheelchair system for physically impaired person / Muhammad Afiq Mohd Aizam... [et al.]

Mohd Aizam, Muhammad Afiq and Mohamad Hadis, Nor Shahanim and Abdullah, Samihah (2020) IoT-based smart wheelchair system for physically impaired person / Muhammad Afiq Mohd Aizam... [et al.]. ESTEEM Academic Journal, 16. pp. 59-73. ISSN 2289-4934 (Submitted)

Abstract

Disabled persons usually require an assistant to help them in their daily routines especially for their mobility. The limitation of being physically impaired affects the quality of life in executing their daily routine especially the ones with a wheelchair. Pushing a wheelchair has its own side effects for the user especially the person with hands and arms impairments. This paper aims to develop a smart wheelchair system integrated with home automation. With the advent of the Internet of Things (IoT), a smart wheelchair can be operated using voice command through the Google assistant Software Development Kit (SDK). The smart wheelchair system and the home automation of this study were powered by Raspberry Pi 3 B+ and NodeMCU, respectively. Voice input commands were processed by the Google assistant Artificial Intelligence Yourself (AIY) to steer the movement of wheelchair. Users were able to speak to Google to discover any information from the website. For the safety of the user, a streaming camera was added on the wheelchair. An improvement to the wheelchair system that was added on the wheelchair is its combination with the home automation to help the impaired person to control their home appliances through Blynk application. Observations on three voice tones (low, medium and high) of voice command show that the minimum voice intensity for this smart wheelchair system is 68.2 dB. Besides, the user is also required to produce a clear voice command to increase the system accuracy.

Metadata

Item Type: Article
Creators:
CreatorsID Num. / Email
Mohd Aizam, Muhammad AfiqUNSPECIFIED
Mohamad Hadis, Nor ShahanimUNSPECIFIED
Abdullah, SamihahUNSPECIFIED
Subjects: T Technology > T Technology (General) > Industrial research. Research and development
T Technology > T Technology (General) > Occupational Health
T Technology > TA Engineering. Civil engineering > Engineering mathematics. Engineering analysis
T Technology > TA Engineering. Civil engineering > Engineering mathematics. Engineering analysis > Electronic data processing. Computer-aided engineering
Divisions: Universiti Teknologi MARA, Pulau Pinang > Permatang Pauh Campus > Faculty of Electrical Engineering
Journal or Publication Title: ESTEEM Academic Journal
Journal: UiTM Journal > ESTEEM Academic Journal
ISSN: 2289-4934
Volume: 16
Page Range: pp. 59-73
Item ID: 33235
Uncontrolled Keywords: Physical Disabilities, Google Assistant, Voice Command, Smart Wheelchair, Iot
URI: http://ir.uitm.edu.my/id/eprint/33235

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