IJBTT

A Novel Design of Smart Electric Powered Wheelchair using IoT

A Novel Design of Smart Electric Powered Wheelchair using IoT
	© 2022 by IJETT Journal
	Volume-70 Issue-6
	Year of Publication : 2022
	Authors : K. Kittiphunworakul, B. Maungmeesri, D. Maneetham
	DOI : 10.14445/22315381/IJETT-V70I6P211

How to Cite?

K. Kittiphunworakul, B. Maungmeesri, D. Maneetham, "A Novel Design of Smart Electric Powered Wheelchair using IoT," International Journal of Engineering Trends and Technology, vol. 70, no. 6, pp. 90-99, 2022. Crossref, https://doi.org/10.14445/22315381/IJETT-V70I6P211

Abstract
The internet is now increasingly essential in everyday life. The Internet allows people to receive and send a vast range of information. The Internet may be used in various ways to get the most out of it nowadays. The concept of the Internet of Things, for example, implies that everything is connected to the Internet. Allowing humans to control the operation of various equipment over the Internet, such as turning on and off gadgets, electrical appliances, communication tools, agricultural tools, and household appliances in daily life via the network, the Internet, and so on. The notion of a smart electric-powered wheelchair is based on the Internet of Things. Electrical appliances, services, monitoring, and access to control numerous devices are connected through residential communication networks. The controls may be monitored and operated from the power wheelchair anytime. A smart cart's construction must include three basic components: the first is a smart device that connects to it, the second is the Internet network, and the third is the microcontroller. The results of this test allow the electric-powered wheelchair to be controlled remotely. Excellent command and control. Most importantly, it has a high level of security for users.

Keywords
Electric Powered Wheelchair, Computer Control, Monitoring, IoT.

Reference
[1] S. Chalermchon, and S. Thanutch, Application of GPS Precise point Positioning Technique, International Conference on Engineering Science and Innovative Technology, (2014) 430-436.
[2] J. Tossaporn, Formal Specification for Vehicle Localization and Monitoring Using GPS and Zigbee Networks, Journal of Research in Engineering and Technology, 4(1) (2007) 27-41.
[3] P. Amonrat, P. Phuriphong, K. Apichaya, and N. Kantida, Application Development on iOS for Cycling to Travel A Case Study: Phuket Tourism, The Eleventh National Conference on Computing and Information Technology, (2015) 217-222.
[4] S. Phongphodsawat, and W. Pongpisit, Time Train Tracking System Automatic and Real-Time of GPS based On mobile Case Study for State Railway of Thailand, The Eleventh National Conference on Computing and Information Technology, (2015) 662-667.
[5] N. Surasak, and T. Siriphan, GPS and Vision-Based Navigation for Intelligent Vehicle, National Conference on Technical Education, (2010) 19-24.
[6] B. Suthat, P. Phuriphong, J. Buncha, and P. Jantima, A System of Real-time Bus Tracking on Mobile Phone, The Eleventh National Conference on Computing and Information Technology, (2017) 88-93.
[7] S. Shinde, S. Kumar, and P. Johri, A Review: Eye Traxking Interface with Embedded System & IoT, International Conference Computing, Power and Communication Technology, India, (2018) 791- 795.
[8] J. C. Ma, C. A. Karl, and A. Dyukov, Certification and Audit of the Intelligent Access Program for the monitoring of heavy vehicles in Australia, IEEE, (2009) 718-721.
[9] Z. Li, and A. J. Song, Sliding Mode Control Based on Tracking Differentiator for Intelligent Vehicle Headway Distance Control, IEEE, (2009) 489-493.
[10] J. M. Collado, C. Hilario, A. Escalera, and J. M. Armingol, Model Based Vehicle Detection for Intelligent Vehicle, IEEE, (2004) 572- 577.
[11] T. Ashraf, N. Islam, S. L. Costa, and S. Arefin. Developing an IoT Based Wheelchair: Biomedical Data Logging and Emergency Contingency Services, IEEE, International Conference on Consumer Electronics (ICCE), (2021).
[12] S. Shinde, S. Kumar, and P. Johri, A Review: Eye Tracking Interface with Embedded System and IoT, IEEE, International Conference on Computing Power and Communication Technoligues (GUCON), (2018)
[13] S. Soma, N. Patil, and S. F, An Approach to develop a smart and intelligent wheelchair, IEEE, (2018).
[14] Hayder A. Azeez, Norasmadi Abdul Rahim, Muhammad Juhairi Aziz bin safar, EMG Controlled Wheelchair Movement based on Masseter and Buccinators Muscles, International Journal of Engineering Trends and Technology (IJETT), V37(3) (2016) 133-139. July 2016. ISSN:2231-5381. www.ijettjournal.org. published by seventh sense research group.
[15] D. Devasia, D. R. T.V, and N. S. Jacob, Assistance for Quadriplegic with BCI Enabled Wheelchair and IoT, IEEE, International Conference on Intelligent Sustainable Systems (ICISS), (2020).
[16] A. Z. Elevado, E. Sagao, and A. F. Sales, Discomfort Monitoring System using IoT Applied to a Wheelchair, IEEE, Internationale Conference on Automatic Control and Intelligent Systems (I2CACIS), (2021).
[17] AKM. B. Haque, S. Shurid, and A. T. Juha, A Novel Design of Gesture and Voice Controlled Solar-Powered Smart Wheel Chair with Obstacle Detection, IEEE, (2020).