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International Journal of Advanced Computer Science and Applications(IJACSA), Volume 12 Issue 2, 2021.
Abstract: Innovations in research labs are driven to global markets by applied, established standard engineering practices, using state-of-the-art research that most likely results in manu-facturing highly effective and efficient engineered products. As a technology, that enables assistance to physically challenged people, wheelchairs have attracted researchers across the globe whilst showcasing an increased demand for higher production. However, wheelchairs in relation with the environments im-plementing Internet-of-things (IoT) devices, have been mostly overlooked to include the assessment of global market trends. Therefore, this paper proposes Acceptability Engineering (AE) framework to enhance the growth and expansion of markets relying on the environments, wherein wheelchairs can coordinate with IoT to enable smart technologies. AE as a standard engi-neering approach would help in – evaluating the characteristics of IoT-wheelchair environments, analysing their market trends, and highlighting the deficiencies between early and prevailing markets. This will significantly impact the manufacturers, who market wheelchairs specific to the IoT environments, and in addition manufacturers would be able to identify the potential users of their manufactured products.
Sameer Ahmad Bhat, Muneer Ahmad Dar, Hazem Elalfy, Mohammed Abdul Matheen and Saadiya Shah, “A Novel Framework for Modelling Wheelchairs under the Realm of Internet-of-Things” International Journal of Advanced Computer Science and Applications(IJACSA), 12(2), 2021. http://dx.doi.org/10.14569/IJACSA.2021.0120293
@article{Bhat2021,
title = {A Novel Framework for Modelling Wheelchairs under the Realm of Internet-of-Things},
journal = {International Journal of Advanced Computer Science and Applications},
doi = {10.14569/IJACSA.2021.0120293},
url = {http://dx.doi.org/10.14569/IJACSA.2021.0120293},
year = {2021},
publisher = {The Science and Information Organization},
volume = {12},
number = {2},
author = {Sameer Ahmad Bhat and Muneer Ahmad Dar and Hazem Elalfy and Mohammed Abdul Matheen and Saadiya Shah}
}
Copyright Statement: This is an open access article licensed under a Creative Commons Attribution 4.0 International License, which permits unrestricted use, distribution, and reproduction in any medium, even commercially as long as the original work is properly cited.