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In this paper the replacement of a lost learning function of rats through a computer-based real-time recording and feedback system is shown. In an experiment two recording electrodes and one stimulation electrode were implanted in an anesthetized rat. During a classical-conditioning paradigm, which includes tone and airpuff stimulation, biosignals were(More)
When using a Brain-Computer Interface (BCI) as a spelling device, the P300-based BCI is mostly common, because of its high speed and accuracy, compared to other BCI paradigms. During the last years many studies have been performed to optimize the single spelling parameters , the stimulation frequency and stimulation intensity. Also different options for the(More)
A Brain-Computer Interface (BCI) provides a completely new output pathway that can provide an additional option for a person to express himself/herself if he/she suffers a disorder like amyotrophic lateral sclerosis (ALS), brainstem stroke, brain or spinal cord injury or other diseases which impair the function of the common output pathways which are(More)
The aim of this paper is to show security measures for NFC (Near Field Communication) use cases and devices. We give a brief overview over NFC technology and evaluate the implementation of NFC in devices. Out of this technology review we derive different use cases and applications based on NFC technology. Based on the use cases we show assets and interfaces(More)
A brain-computer-interface (BCI) allows the user to control a device or software with brain activity. Many BCIs rely on visual stimuli with constant stimulation cycles that elicit steady-state visual evoked potentials (SSVEP) in the electroencephalogram (EEG). This EEG response can be generated with a LED or a computer screen flashing at a constant(More)
This paper presents an approach to probabilistic active perception planning for scene modeling in cluttered and realistic environments. When dealing with complex, multi-object scenes with arbitrary object positions, the estimation of 6D poses including their expected uncertainties is essential. The scene model keeps track of the probabilistic object(More)