With the development of more advanced technologies in manufacturing, the workload on operators is increasing, which affects their physical and cognitive abilities. This leads to more human errors and, consequently, less safety in the workplace. A potential solution lies in the use of neurophysiological methods for measuring and monitoring cognitive states of operators, among which is also electroencephalography (EEG), which is based on detecting brain signals.
This thesis addresses the measurement process with EEG for use in a manufacturing environment. It presents the device that will be used in further research, as well as the process of data acquisition and analysis. The factors influencing the measurement process and the main challenges that can be expected with the use of EEG in manfucaturing are also described.
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