Predicting the Degree of Distracted Driving Based on fNIRS Functional Connectivity: A Pilot Study
Takahiko Ogihara, Kensuke Tanioka, Tomoyuki Hiroyasu, Satoru Hiwa
This study develops a model to predict distracted driving using fNIRS-measured brain activity, finding that specific neural network connections are key predictors of distraction levels.
Frontiers in Neuroergonomics · Jul 8, 2022Peer-reviewedNeuroscience