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Mammographic Mass Segmentation Using Fuzzy C–means and Decision Trees Read chapter Read first chapter

2018 | OriginalPaper | Chapter

Controlling a Smartphone with Brain-Computer Interfaces: A Preliminary Study

Authors : Víctor Martínez-Cagigal, Eduardo Santamaría-Vázquez, Roberto Hornero

Published in: Articulated Motion and Deformable Objects

Publisher: Springer International Publishing

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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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Metadata
Title
Controlling a Smartphone with Brain-Computer Interfaces: A Preliminary Study
Authors
Víctor Martínez-Cagigal
Eduardo Santamaría-Vázquez
Roberto Hornero
Copyright Year
2018
Book
Articulated Motion and Deformable Objects

Print ISBN: 978-3-319-94543-9

Electronic ISBN: 978-3-319-94544-6

Copyright Year: 2018

DOI
https://doi.org/10.1007/978-3-319-94544-6_4

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