Adaptive assistance for BCI: a locked-in syndrome end-user case study
نویسندگان
چکیده
Introduction: Performance variation is one of the main challenges that BCIs are confronted with, when being used over extended periods of time. Several methods have been proposed to find correlates of performance variation for sensorimotor rhythms EEG-based BCIs [1]. However, they typically focus on assessing performance variations within the same day or session, and do not use this information online. This issue is even more critical for end users, as they usually achieve a limited level of performance [2]. Previously, we proposed that some issues resulting from performance variation could be overcome by providing adaptive assistance based on the users’ needs. Therefore, we suggested a method for providing online adaptive assistance (i.e., modulating the timeout to deliver the intended command) based on an estimation of the user’s performance (i.e., the command delivery time, CDT, for a single trial) [3]. We previously reported results on able-bodied subjects (N=9). Here, we test the approach with an end-user with locked-in syndrome.
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