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In this paper the modelling of the machine vision architecture ROVIS for service robotics is presented. The focus of the paper is not on the image processing algorithms used for robot environment understanding, but on the Model Driven Development (MDD) approach used for the design and implementation of the vision system. Starting from the basic requirements of ROVIS, the development process goes through...
Brain-computer interface (BCI) systems enable communication and control without movement. Although advanced signal processing methods are used in BCI research, the output of a BCI is still unreliable, and the information transfer rates are very low compared with conventional human interaction interfaces such as keyboard and mouse. Therefore, improvements in signal classification methods and the exploitation...
A brain-computer interface (BCI) based on steady-state visual-evoked potentials (SSVEPs) is combined with a functional electrical stimulation (FES) system to allow the user to control stimulation settings and parameters. The system requires four flickering lights of distinct frequencies that are used to form a menu-based interface, enabling the user to interact with the FES system. The approach was...
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