Fernando Quivira and Matt Higger (Northeastern University) won the 2017 RERC on AAC Student Research and Design Competition
AAC intervention to build communication, language, and literacy skills with children with complex communication needs… (Light, 2016)
What advances have been made to date in AAC interventions for children? And what are the challenges that we need to address to improve outcomes?
Precision intervention research for adults with complex communication needs resulting from acquired medical conditions (Beukelman, 2016).
“In this article, I will briefly discuss the population base of adults with acquired complex communication needs…”
Fast switch scanning keyboards: Minimal expected query decision trees (Higger et al, 2016)
Within AAC, switch scanning is a common paradigm for spelling where a set of characters is highlighted and the user is queried as to whether their target character is in the highlighted set. This work seeks a decision tree which requires the fewest expected queries per decision sequence (EQPD).
A kronecker product structured EEG covariance estimator for a language model assisted-BCI (Gonzalez-Navarro & Moghadamfalahi, 2016)
in this manuscript we propose a Kronecker product structure for covariance matrices
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