Retrospectively supervised click decoder calibration for self-calibrating point-and-click brain-computer interfaces.

ABSTRACT: Brain-computer interfaces (BCIs) aim to restore independence to people with severe motor disabilities by allowing control of acursor on a computer screen or other effectors with neural activity. However, physiological and/or recording-related nonstationarities in neural signals can limit long-term decoding stability, and it would be tedious for users to pause use of the BCI whenever neural control degrades to perform decoder recalibration routines. We recently demonstrated that a kinematic decoder (i.e. a decoder that controls cursor movement) can be recalibrated using data acquired during practical point-and-click control of the BCI by retrospectively inferring users' intended movement directions based on their subsequent selections. Here, we extend these methods to allow the click decode

SUBMITTER: Jarosiewicz B 

PROVIDER: S-EPMC5591042 | biostudies-literature | 2016 Nov

REPOSITORIES: biostudies-literature