RACHED, T. S.; http://lattes.cnpq.br/6659783661235661; RACHED, Taciana Saad.
Abstract:
The development of assistive technologies is very important with regard to life.
of people with disabilities. In implementing these technologies the
The goal is to provide or extend functional skills for people with special needs.
Assistive technologies promote more independent living, social inclusion and improved
quality of life of the people mentioned.
Despite efforts to promote the inclusion of disabled people in society,
limited resources available to enable communication between people
people with severe motor disabilities and the world. In this context, the Computer Brain Interface
(ICC) is a recent technology that allows direct communication between the brain of
a person and the devices available in their environment. Systems
ICC enable people with severe motor disabilities to control the aforementioned devices
through your brain activities.
ICC is a recent technology, but quite promising. Nevertheless, there are still some
difficulties encountered for ICC systems to be applied on a day to day basis.
people with severe motor disabilities. Some of the challenges encountered include
system accuracy, speed and mobility. Most ICC systems are applications
for desktop, being mainly employed in clinical research.
The development of systems that integrate ICC, mobile devices and pervasive services,
In addition to enabling people with severe motor disabilities to control devices,
also provides mobility for these people, allowing interaction between them and their
Devices inserted into your media can be performed anywhere and anytime.
This paper introduces an architecture for the development of pervasive ICC systems.
for the control of multimedia devices. In addition, a framework was developed
software to assist in the development of multimedia ICC applications. The user needs
of an electroencephalography (EEG) equipment for the acquisition of brain signals, a
mobile device for processing, software framework execution and customization
from the user profile to interact with any multimedia device.
A pervasive ICC system was also implemented to validate the architecture introduced.
In the development of the system, an EEG equipment was implemented.
brain signal classification and a multimedia application for media center control
XBMC. The pervasive ICC system developed in the context of this work allows users to
play multimedia content in XBMC. For results regarding usability
of the system, the usability test for system evaluation was planned and elaborated.