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Conference Paper

Reading the mobile brain: from laboratory to real-world electroencephalography

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Glatz,  C
Project group: Motion Perception & Simulation, Max Planck Institute for Biological Cybernetics, Max Planck Society;
Department Human Perception, Cognition and Action, Max Planck Institute for Biological Cybernetics, Max Planck Society;
Project group: Cognition & Control in Human-Machine Systems, Max Planck Institute for Biological Cybernetics, Max Planck Society;
Max Planck Institute for Biological Cybernetics, Max Planck Society;

/persons/resource/persons216472

Ditz,  J
Max Planck Institute for Biological Cybernetics, Max Planck Society;
Department Human Perception, Cognition and Action, Max Planck Institute for Biological Cybernetics, Max Planck Society;

/persons/resource/persons215721

Lahmer,  M
Max Planck Institute for Biological Cybernetics, Max Planck Society;
Department Human Perception, Cognition and Action, Max Planck Institute for Biological Cybernetics, Max Planck Society;

/persons/resource/persons83861

Chuang,  LL
Project group: Cognition & Control in Human-Machine Systems, Max Planck Institute for Biological Cybernetics, Max Planck Society;
Max Planck Institute for Biological Cybernetics, Max Planck Society;
Department Human Perception, Cognition and Action, Max Planck Institute for Biological Cybernetics, Max Planck Society;

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Citation

Glatz, C., Ditz, J., Kosch, T., Schmidt, A., Lahmer, M., & Chuang, L. (2017). Reading the mobile brain: from laboratory to real-world electroencephalography. In N. Henze, P. Woźniak, K. Váánánen, J. Williamson, & S. Schneegass (Eds.), 16th International Conference on Mobile and Ubiquitous Multimedia (MUM 2017) (pp. 573-579). New York, NY, USA: ACM Press.


Cite as: https://hdl.handle.net/21.11116/0000-0000-C371-4
Abstract
It is increasingly viable to measure the brain activity of mobile users, as they go about their everyday business in their natural world environment. This is due to: (i) modern signal processing methods, (ii) lightweight and cost-effective measurement devices, and (iii) a better, albeit incomplete, understanding of how measurable brain activity relates to mental processes. Here, we address how brain activity can be measured in mobile users and how this contrasts with measurements obtained under controlled laboratory conditions. In particular, we will focus on electroencephalography (EEG) and will cover: (i) hardware and software implementation, (ii) signal processing techniques, (iii) interpretation of EEG measurements. This will consist of hands-on analyses of real EEG data and a basic theoretical introduction to how and why EEG works.