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The aim of this paper is to show how to use the Efficiency, a brain–computer interface (BCI) performance indicator, to evaluate the performances of a wide range of BCI systems. Unlike the most used metrics in the BCI research field, the Efficiency takes into account the penalties and the strategies to recover errors and this makes it a reliable instrument to describe the behavior of real BCIs. The...
Brain-computer interfaces (BCI) are emerging as a powerful tool for providing an alternative way of communication and environment control to severely disabled people. Among these systems, P300-based BCIs are widely diffused as they are easy to manage and do not require a training for the subjects. These systems, however, are still too slow so that they are actually used only by those patients that...
P300-based BCI systems are widely diffused as they are easy to manage and do not require a training for the subjects. A lot of P300-related BCI researches have been proposed to date and each of them tries to focus on different aspects of these systems. In this paper a study regarding the efficiency of a P300 BCI system, implemented with two different inter-stimulus intervals is presented; the aim...
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