Abstract
Nowadays, smartphones are essential parts of our lives. The wide range of functionalities that they offer to us, from calling, taking photos, sharing information or contacting with people, has 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.
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Acknowledgments
This study was partially funded by projects TEC2014-53196-R of ‘Ministerio of Economía y Competitividad’ and FEDER, the project “Análisis y correlación entre el genoma completo y la actividad cerebral para la ayuda en el diagnóstico de la enfermedad de Alzheimer” (Inter-regional cooperation program VA Spain-Portugal POCTEP 2014-202) of the European Commission and FEDER, and project VA037U16 of the ‘Junta de Castilla y León’ and FEDER. V. Martínez-Cagigal was in receipt of a PIF-UVa grant of the University of Valladolid. The authors declare no conflict of interest.
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Martínez-Cagigal, V., Santamaría-Vázquez, E., Hornero, R. (2018). Controlling a Smartphone with Brain-Computer Interfaces: A Preliminary Study. In: Perales, F., Kittler, J. (eds) Articulated Motion and Deformable Objects. AMDO 2018. Lecture Notes in Computer Science(), vol 10945. Springer, Cham. https://doi.org/10.1007/978-3-319-94544-6_4
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