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SSVEP-Based BCI in a Smart Home Scenario

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Part of the book series: Lecture Notes in Computer Science ((LNTCS,volume 10306))

Abstract

Steady state visual evoked potentials (SSVEPs)-based Brain-Computer Interfaces (BCIs) can provide hand-free human interaction with the environment. In the presented study, visual stimuli were displayed on Epson Moverio BT-200 augmented reality glasses, which can be easily used in smart homes. QR codes were used to identify the devices to be controlled with the BCI. In order to simulate a real life scenario, participants were instructed to go out of the lab to get a coffee. During this task light switches, elevator and a coffee machine were controlled by focusing on SSVEP stimuli displayed on the smart glasses. An average accuracy of 85.70% was achieved, which suggests that augmented reality may be used together with SSVEP to control external devices.

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Acknowledgment

This research was supported by the European Fund for Regional Development under Grant GE-1-1-047.

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Correspondence to Ivan Volosyak .

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Saboor, A. et al. (2017). SSVEP-Based BCI in a Smart Home Scenario. In: Rojas, I., Joya, G., Catala, A. (eds) Advances in Computational Intelligence. IWANN 2017. Lecture Notes in Computer Science(), vol 10306. Springer, Cham. https://doi.org/10.1007/978-3-319-59147-6_41

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  • DOI: https://doi.org/10.1007/978-3-319-59147-6_41

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  • Publisher Name: Springer, Cham

  • Print ISBN: 978-3-319-59146-9

  • Online ISBN: 978-3-319-59147-6

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