Achieving Assistive Technology Systems Based on IoT Devices in Cloud Computing

Davide Mulfari; Antonio Celesti; Maria Fazio; Massimo Villari; Antonio Puliafito

Research Article

Achieving Assistive Technology Systems Based on IoT Devices in Cloud Computing

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@ARTICLE{10.4108/cs.1.1.e4,
    author={Davide Mulfari and Antonio Celesti and Maria Fazio and Massimo Villari and Antonio Puliafito},
    title={Achieving Assistive Technology Systems Based on IoT Devices in Cloud Computing},
    journal={EAI Endorsed Transactions on Cloud Systems},
    volume={1},
    number={1},
    publisher={ICST},
    journal_a={CS},
    year={2015},
    month={2},
    keywords={Assistive Technology, Embedded Systems, Cloud Computing, Internet of Things, Human Computer Interaction, Users with disabilities.},
    doi={10.4108/cs.1.1.e4}
}

Davide Mulfari
Antonio Celesti
Maria Fazio
Massimo Villari
Antonio Puliafito
Year: 2015
Achieving Assistive Technology Systems Based on IoT Devices in Cloud Computing
CS
ICST
DOI: 10.4108/cs.1.1.e4

Davide Mulfari¹, Antonio Celesti¹, Maria Fazio¹^,*, Massimo Villari¹, Antonio Puliafito¹

1: DICIEAMA, Faculty of Engineering, University of Messina

*Contact email: mfazio@unime.it

Abstract

This paper discusses how programmable embedded IoT systems may be a challenge for the development of Assistive Technologies (ATs), with particular reference to the Human-Computer Interaction (HCI). Nowadays, users with disabilities access computer-based devices by using tailored AT solutions equipped with specialized software components closely tied to the physical device. We propose to decouple the AT tools from the computers and/or ICT (Information and Communication Technology) systems. The main advantage of such a solution is the high flexibility for users with disabilities in using their personal AT equipments to access/control different types of computers and ICT systems. To avoid manual driver installation and software configuration on each available computer, the IoT component makes use of Cloud technology and services to customize the AT environment according to the user’s needs and preferences.

Keywords: Assistive Technology, Embedded Systems, Cloud Computing, Internet of Things, Human Computer Interaction, Users with disabilities.

Received: 2014-12-01
Accepted: 2015-01-20
Published: 2015-02-23
Publisher: ICST

: http://dx.doi.org/10.4108/cs.1.1.e4

Copyright © 2015 Davide Mulfari, et al., licensed to ICST. This is an open access article distributed under the terms of the Creative Commons Attribution licence (http://creativecommons.org/licenses/by/3.0/), which permits unlimited use, distribution and reproduction in any medium so long as the original work is properly cited.