Monitorowanie stanów emocjonalnych pracownika za pomocą interfejsów mózg – komputer
Monitoring of emotional states of worker using Brain – Computer Interfaces

Summary/Abstract: Brain–Computer Interface (BCI) is a system in which commands are transferred to a computer by signals generated in the brain. BCI may be based on ECoG signals (electrocortiogram), MEG signals (magnetoencephalography), PET signals (positron emission tomography), fMRI signals (functional magnetic resonance), NIRS signals (optical imaging) or others. Most commonly, BCI is based on EEG signals. Among the most common BCI applications are touchless controlling of electronic devices, touchless computer operating (including touchless Internet searching), biometric user authentication and process controlling by people with reduced mobility. This article presents the concept of using the brain–computer interface, which uses EEG signals to monitor selected emotional states of a worker, such as mental engagement, thought, frustration, excitement. The concept is based on the use of a neurohelmet, which uses simplified electroencephalography.

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