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Brain Computer Interfaces (BCI) enables interaction between users and hardware systems, through the recognition of brainwave activity. However, the current BCI systems still have a very low accuracy on the recognition of facial expressions and thoughts. This makes it very difficult to use these devices to enable safe and robust commands of complex devices such as an Intelligent Wheelchair. This paper presents an approach to expand the use of a brain computer interface for driving an intelligentdoi:10.1109/icdmw.2012.89 dblp:conf/icdm/FariaRL12 fatcat:btcao6kjq5bhligggpsliqqfea