Nowadays, smartphones are essential parts of our lives. The
wide range of functionalities that they o er to us, from calling, taking
photos, sharing information or contacting with people, have contributed
to make them a useful tool. However, its accessibility remains restricted
to disabled people that are unable to control their motor functions. In this
preliminary study, we have developed a Brain-Computer Interface system
that allows users to control two main functionalities of our smartphones
using their own brain signals. In particular, due to the importance of
the socializing apps in today's world, the system includes the control of
social networking and instant message services: Twitter and Telegram,
respectively. The system has been tested with 10 healthy subjects, who
were asked to perform several tasks, reaching an average accuracy of
92:3%. Preliminary results show that users can successfully control the
system, bridging the accessibility gap in smartphone applications.
