Titlebook: Applications of Brain-Computer Interfaces in Intelligent Technologies; Szczepan Paszkiel Book 2022 The Editor(s) (if applicable) and The A

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Merkmale von Klein- und Mittelunternehmen,Until today, many different neurogaming solutions have been implemented, include: Awakening. This is a Sci-Fi game by Neurable from Boston. It works with a head cover with a set of electrodes that connects to the HTC Vive VR kit.

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Wolfgang Immerschitt,Marcus StumpfBCI enables communication between the human brain and other devices without involving additional controllers. One popular method of achieving this goal is the study of Steady State Visual Evoked Potentials (SSVEP) analyzes caused by staring at a constantly flickering target, i.e. a visual stimulus.

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Phase der Rekrutierung neuer Mitarbeiter,This chapter presents examples of intelligent home concepts controlled exclusively or by devices using BCI technology. For example, in the article “Promoting Autonomy in a Smart Home Environment with a Smarter Interface”, authors draw attention to the aging of the population in Great Britain, whose median age tends to 65?years.

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https://doi.org/10.1007/978-3-658-38853-9This chapter presents the concept of correlating neuroinformatics tools in terms of their use in the automotive industry. The following sections of this chapter describe the most important safety systems installed in cars, and, above all, the principles of their operation.

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https://doi.org/10.1007/978-3-658-22642-8The mobile application market is growing dynamically, and the computing power of smartphones is also growing. The main goal of this chapter is to present the possibilities of using mobile devices to analyze fMRI images with the use of neural networks.

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Employer Branding in der SozialwirtschaftThe BCI technology finds newer and newer implementations. Year by year, the number of publications in this field grows exponentially. This book attempts to describe the implementation of the brain-computer technology based on both STM32 and Arduino microcontrollers.

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Introduction,Brain-computer interface (BCI) technology is one of the fastest growing technologies in the field of control interface development. Most implementations are based on measuring the EEG signal from the head surface, i.e. electroencephalography.

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Population Models of Neuronal Ensembles for BCI Technology,EEG signals, apart from their real acquisition, can also be modeled. In 1972, Hugh R. Wilson and Jack D. Cowan proposed a model with additional inhibitory interactions and in this chapter, among others this population Wilson-Cowan model (W–C) was analyzed.