Adaptive Assistance for Brain-Computer Interfaces by Online Prediction of Command Reliability

One of the challenges of using brain-computer interfaces (BCIs) over extended periods of time is the variation of the users’ performance from one experimental day to another. The goal of the current study is to propose a performance estimator for an electroencephalography-based motor imagery BCI by assessing the reliability of a command (i.e., predicting a ‘short’ or ‘long’ command delivery time, CDT). Using a short time

• Type: Journal
• Year: 2016
• Where: CIM
• Authors: Sareh Saeedi, Ricardo Chavarriaga, Robert Leeb, José del R. Millán
• Keywords: CIM 2016, Hardware