In this paper we propose a structure for the covariance matrices of the multichannel EEG signals.
In this manuscript, we develop a Monte Carlo-based probabilistic simulation framework for electroencephalography (EEG) based BCI design.
This investigation provides preliminary evidence of the relationship between image and message type for people with TBI.
The RERC on AAC partnered with three student engineering Learning Factory teams at Penn State University in the spring of 2017
Penn State News featured the RERC on AAC Doctoral Student Think Tank in a recent news story
Suz Boyle and Ashley McCoy presented on the effects of T2L software at CEC in Boston.
Caron et al presented case studies of literacy instruction for adults with complex communication needs
This study investigated the effects of dynamically displaying text within AAC software to support the transition from graphic symbols to literacy with pre-literate preschoolers with ASD.
Video VSDs provide an innovative AAC interface by using videos of daily events with embedded VSDs to enhance participation in dynamic interactions.
The purpose of this study was to investigate the effect of seated positioning on the accuracy and efficiency of a single motor act used to access AAC for an adolescent with athetoid CP.