Article ID | Journal | Published Year | Pages | File Type |
---|---|---|---|---|
6936870 | Transportation Research Part C: Emerging Technologies | 2014 | 11 Pages |
Abstract
On-board experiments demonstrate the effectiveness of the approach, even in case of noise and adverse light conditions. Moreover the system proved unexpected robustness to various categories of users, including people with beard and eyeglasses. Temporal integration of classification results, together with a partial distinction among visual distraction and fatigue effects, make the proposed technology an excellent candidate for the exploration of adaptive and user-centered applications in the automotive field.
Related Topics
Physical Sciences and Engineering
Computer Science
Computer Science Applications
Authors
G.L. Masala, E. Grosso,