Brain-Computer Interface-based autonomous communicating robot for disability assessment

Designing intelligent and assistive devices for
disabled persons’ mobility requires appropriate assistive tools
and techniques in order to insure efficiency and security in use.
In this work we present a new architecture of an autonomous and
communicating mobile robot for disability assistance. This
architecture represents a first step towards an implementation to
an intelligent wheelchair for the mobility of individuals with
motor impairment. The proposed design provides two use
modules namely the navigation based only on the brain signals
and the intramural mapping of buildings. For the first use
module, our approach exploits the statistical characteristics of
the brain signal to extract eye movements and transform them
into commands to control the robot. Concerning the intramural
mapping module, our proposed solution is based on an obstacle
detection algorithm implemented on a Raspberry PI 3 board
using the ROS system.