A Human⁻Machine Interface Based on Eye Tracking for Controlling and Monitoring a Smart Home Using the Internet of Things

Sensors
Alexandre BissoliTeodiano Bastos-Filho

Abstract

People with severe disabilities may have difficulties when interacting with their home devices due to the limitations inherent to their disability. Simple home activities may even be impossible for this group of people. Although much work has been devoted to proposing new assistive technologies to improve the lives of people with disabilities, some studies have found that the abandonment of such technologies is quite high. This work presents a new assistive system based on eye tracking for controlling and monitoring a smart home, based on the Internet of Things, which was developed following concepts of user-centered design and usability. With this system, a person with severe disabilities was able to control everyday equipment in her residence, such as lamps, television, fan, and radio. In addition, her caregiver was able to monitor remotely, by Internet, her use of the system in real time. Additionally, the user interface developed here has some functionalities that allowed improving the usability of the system as a whole. The experiments were divided into two steps. In the first step, the assistive system was assembled in an actual home where tests were conducted with 29 participants without disabilities. In the second step,...Continue Reading

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Citations

Dec 16, 2020·Sensors·Juan YeOresti Banos
Feb 23, 2021·Beilstein Journal of Nanotechnology·Ata Jedari Golparvar, Murat Kaya Yapici
May 27, 2020··Enkelejda KasneciJohannes Meyer
May 6, 2020··Enkelejda KasneciGjergji Kasneci

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Software Mentioned

CASAS
AgingMO
Hostinger
comHOME
ActiveHome
ubiHome
CUSTODIAN
UCD
myGEKKO
gBox

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