SHINE LAB
System-Human Interaction with NIRS and EEG
Optimizing human performance via real-time predictions of social, cognitive, affective states.
Optimizing human performance via real-time predictions of social, cognitive, affective states.
ANNOUNCEMENTS
AUGUST 26, 2020: News update! We're proud to be part of the team at CU Boulder leading up the NSF AI Institute for Student-AI Teaming! Check out the NSF press release here, and the CU Boulder press release is here. And a nice write-up that takes a deeper look at the research we'll be doing, and the SHINE Lab role in that amazing research, is here.
AUGUST 2020: Professor Hirshfield had a great summer working as a summer faculty research fellow with the US Air Force Academy and researchers
at the Academy's Warfighter Effectiveness Research Center on research for the Air Force's Pilot Training Next program.
JUNE 2020: Our paper using multilabel LSTM networks to classify different levels of activity simultaneously in different spatial regions has been accepted for publication in IEEE Access.
DECEMBER 2019: Our paper using fNIRS to predict human overload before task-shedding occurs was published in the Journal of Augmented Human Cognition.
OCTOBER 2019: Our newly funded AFOSR DURIP equipment has arrived! This includes state-of-the-art wearable fNIRS, EEG, and eyetracking sensors for concurrent measurements of up to three humans at a time.
MARCH 2019: Our paper on advanced deep learning for predicting emotional states with fNIRS data was just accepted at the Journal of Near Infrared Spectroscopy!
FEBRUARY 2019: Our paper showing how fNIRS can be used to measure trust and suspicion in the brain was just accepted at the Journal of Augmented Cognition Research!
OCTOBER 2018: Tom Williams and I presented our work merging physiological sensors with human-robot interaction at ICMI 2018.
JULY 2018: Congratulations to Danushka Bandara for successfully defending his PhD dissertation at Syracuse University!