1 research outputs found
Towards a Brain-Robot Interface for children
Brain-Computer Interface systems have been
widely studied and explored with adults demonstrating the
possibility to achieve augmentative communication and control
directly from the users\u2019 brain. Nevertheless, the study and
the exploitation of the BCI in children seems to be limited.
In this paper we propose and present for the first time a
Brain-Robot Interface enabling children to mentally drive a
robot. With this regards, we exploit the combination of a
P300-based Brain-Computer Interface and a shared-autonomy
approach to achieve a reliable and safe robot navigation. We
tested our system in a pilot study involving five children.
Our preliminary results highlight the advantages of using an
accumulation framework, thanks to which the performance of
the children reached the 81.67 % \ub1 12.7 on average in terms
of accuracy. During the experiments, the shared-autonomy
approach involved a low-level intelligent control on board of
the robot to avoid obstacles, enabling an effective navigation
also with a small number of commands