Mobile BCI Technology: NeuroIS Goes Out of the Lab, into the Field
In the past years many NeuroIS studies have been published using different neuroimaging tools like electroencephalography (EEG) or functional magnetic resonance imaging (fMRI). In general most of the EEG studies have been performed in the lab, where parti
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Abstract In the past years many NeuroIS studies have been published using different neuroimaging tools like electroencephalography (EEG) or functional magnetic resonance imaging (fMRI). In general most of the EEG studies have been performed in the lab, where participants are mounted with EEG sensors sitting in front of the computer and following the presented instructions. There are several mobile EEG systems on the market which could be used to investigate brain activity of human behaviour in the field, like during sports or social activities. In this paper we will present a novel system for EEG-based NeuroIS studies out of the lab, named mobile NeuroIS. The system consists of a wireless EEG system and a smartphone, serving as a monitor. Beside the system architecture we will present first evaluation data of three participants using it as mobile Brain-Computer Interface (BCI) application. Keywords Mobile EEG • P300 speller • Brain-computer interfaces
1 Introduction Small and wireless mobile EEG systems have substantial practical advantages as they allow for brain activity recordings in natural environments [1–3]. This technology facilitates among others the transfer of brain-computer interface (BCI) applications from the laboratory to natural daily life environments, one of the key challenges in current BCI research [4]. A recent definition describes a BCI as follows [5, 6] “A BCI is a system that measures central nervous system (CNS) activity and converts it into artificial output that replaces, restores, enhances, supplements, or improves natural CNS output and thereby changes the ongoing interactions between the CNS and its external or internal environment.” Recently a Special Issue called “The plurality of Human Brain-Computer Interfacing was published, delivering the state of the art in BCI research from applications [7] to signal processing [8].”
S.C. Wriessnegger (*) • G. Krumpl • A. Pinegger • G.R. Mueller-Putz Institute of Neural Engineering, Graz University of Technology, Graz, Austria e-mail: [email protected] © Springer International Publishing Switzerland 2017 F.D. Davis et al. (eds.), Information Systems and Neuroscience, Lecture Notes in Information Systems and Organisation 16, DOI 10.1007/978-3-319-41402-7_8
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In the past years a shift of interest in BCI technology comes from the unique advantage of having access to the user’s ongoing brain activity [9] which enables applications spanning a variety of domains such as brain-activity based gaming [10] or neuro-economics [11]. For example, Misawa and colleagues created a trial BCI system to assist with purchase decision-making. Furthermore [12] already outlined two possible long-term goals of BCI research in the business domain: (1) automatization of process steps in administrative work flows (e.g., enterprise systems recognize a user’s thoughts and start with information processing without using an input device), and (2) increase of a system’s usability (e.g., automatic redesign of an interface on the basis
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