@conference {Mulf1706:Wearable, title = {Wearable Devices and {IoT} as Enablers of Assistive Technologies}, booktitle = {Tenth International Conference on Developments in e-Systems Engineering - DeSE2017 (DeSE2017)}, year = {2017}, address = {Paris, France}, abstract = {In assistive technology scenarios, this paper investigates how wearable devices may be used as smart solutions for accessing computers. We focus our attention on a smartwatch available on the consumer market; by using an open source middleware, based on low cost embedded systems, we propose to develop custom apps to process data from smartwatch{\textquoteright}s resources (e.g., sensors) and send them to a Linux single board computer. The latter component plays a critical role because it converts received data into raw input signals for a connected computer by emulating a standard mouse or a keyboard. Since the process requires no software installation on the target device, the user with a disability benefits from a single personalized equipment to control a wide range of computer devices, including traditional personal computers, tablets and smartphones. Additionally, the embedded system accesses the Internet and it takes advantage of the container-based virtualization technology to customize on demand its behaviour according to user{\textquoteright}s needs and preferences.}, keywords = {Assistive Technology, Computer accessibility, Container Based Virtualization, embedded systems, Smartwatch, Wearable devices}, author = {Davide Mulfari and Antonino Longo Minnolo and Antonio Puliafito} } @article {10.4108/cs.1.1.e4, title = {Achieving Assistive Technology Systems Based on IoT Devices in Cloud Computing}, journal = {EAI Endorsed Transactions on Cloud Systems}, volume = {15}, number = {1}, year = {2015}, month = {2}, publisher = {ICST}, keywords = {Assistive Technology, cloud computing, embedded systems, human computer interaction, Internet of Things, Users with disabilities.}, issn = {2410-6895}, doi = {10.4108/cs.1.1.e4}, author = {Davide Mulfari and Antonio Celesti and Maria Fazio and Massimo Villari and Antonio Puliafito} } @proceedings {31, title = {Using Embedded Systems to Spread Assistive Technology on Multiple Devices in Smart Environments}, journal = {IEEE International Conference on Bioinformatics and Biomedicine (BIBM)}, year = {2014}, month = {2014}, pages = {5-11}, publisher = {IEEE Computer Society}, address = {Belfast}, abstract = {

Nowadays, Assistive Technology (AT) systems are\ closely tied to the devices that they control. Considering a smart
environment where a person with a disability needs to interact\ with multiple devices, the user is forced to rely on AT software
tools available on the each used platform. Therefore, computer\ skills are required to adjust any different computing environment
configuration according to the user{\textquoteright}s needs and preferences.\ To address such issues, in this paper, we discuss the usage of
embedded systems able to interface sensors and existing AT\ software tools running on user{\textquoteright}s personal equipments, in order
to natively interact with many platforms. Thus, our work aims to\ decouple AT software tools from the accessed computer systems,
allowing us to control various kinds of computer systems, even\ those that do not provide any AT features, by using just a\ personal assistive equipment.

}, keywords = {Assistive Technology, embedded systems, human computer interaction, Internet of Things, Users with disabilities}, issn = {978-1-4799-5669-2}, doi = {10.1109/BIBM.2014.6999234}, author = {Davide Mulfari and Antonio Celesti and Maria Fazio and Massimo Villari and Antonio Puliafito} }