Classification of multichannel EEG recordings during motor imagination has been exploited successfully for brain-computer interfaces (BCI). In this paper, we consider EEG signals ...
Most research on how people represent procedures suggests that control labels are central. However, our data suggest that even moderately-experienced users do not rely on labels t...
Franklin P. Tamborello II, Phillip H. Chung, Micha...
— A major challenge in applying machine learning methods to Brain-Computer Interfaces (BCIs) is to overcome the on-line non-stationarity of the data blocks. An effective BCI syst...
Qibin Zhao, Liqing Zhang, Andrzej Cichocki, Jie Li
Content classification performed by end users is spreading through the web. Most of the work done so far is related to the hypermedia web. In spite of that, there is a growing mas...
In this paper, we describe our approach to designing interface components that automate the logging of user input. These recorded logs of user-system interactions can serve as a b...