id	author	title	date	pages	extension	mime	words	sentences	flesch	summary	cache	txt
work_4dlhwsemczhz7ptump36z3mt2u	Joonbum Lee	Investigating the correspondence between driver head position and glance location	2018	19	.pdf	application/pdf	8145	757	60	The relationship between a driver's glance orientation and corresponding head rotation in head-glance correspondence while driving, classifier models based on head-rotation (2018), Investigating the correspondence between driver head position and glance location. of glance and head rotation data drawn from a study conducted by the Virginia Tech drivers' rotate their heads, (b) generate input features for classifiers that predicted glance Figure 4 Principal component analysis (PCA) of dynamic data, using head rotation. Figure 4 Principal component analysis (PCA) of dynamic data, using head rotation. Table 2 Performance measures (AC, accuracy; FS, F1 score; KP, Kappa statistic) across class distributions for the Random Forest and HMM classifiers for dynamic data, forward roadway vs. Figure 7 Drivers' head angle profiles while glancing to the center stack during the radio tasks (note: Also, predictive power of head rotation data for specific types of glances, such movement correspondence: predicting drivers' glance location using head rotation	./cache/work_4dlhwsemczhz7ptump36z3mt2u.pdf	./txt/work_4dlhwsemczhz7ptump36z3mt2u.txt