Visual Interpretation of Hand Gestures for Human-Computer Interaction: A Review
IEEE Transactions on Pattern Analysis and Machine Intelligence
Developing a car gesture interface for use as a secondary task
CHI '03 Extended Abstracts on Human Factors in Computing Systems
Detection and Estimation of Pointing Gestures in Dense Disparity Maps
FG '00 Proceedings of the Fourth IEEE International Conference on Automatic Face and Gesture Recognition 2000
FGR '02 Proceedings of the Fifth IEEE International Conference on Automatic Face and Gesture Recognition
Thank you, I did not see that: in-car speech based information systems for older adults
CHI '05 Extended Abstracts on Human Factors in Computing Systems
CarCoach: a polite and effective driving coach
CHI '06 Extended Abstracts on Human Factors in Computing Systems
Visual Longitudinal and Lateral Driving Assistance in the Head-Up Display of Cars
ISMAR '07 Proceedings of the 2007 6th IEEE and ACM International Symposium on Mixed and Augmented Reality
A Unified Framework for Gesture Recognition and Spatiotemporal Gesture Segmentation
IEEE Transactions on Pattern Analysis and Machine Intelligence
Hand gesture recognition using depth data
FGR' 04 Proceedings of the Sixth IEEE international conference on Automatic face and gesture recognition
Gestural interaction on the steering wheel: reducing the visual demand
Proceedings of the SIGCHI Conference on Human Factors in Computing Systems
Hi-index | 0.00 |
With the capability of fast, wireless communication, combined with cloud and location-based services, modern drivers can potentially access a wide variety of information about their automobile's environment. This paper presents a system for information query by the driver by using a simple pointing mechanism, combined with visual feedback in the form of a 3-D Head-up Display (3D-HUD). Because of its 3-D properties, the HUD can also be used for Augmented Reality (AR) as it allows physical elements in the driver's field of view to be annotated with computer graphics. The combination of simple natural user input tailored for the constraints of the driver with a see-thru 3D-HUD allows drivers to query information while minimizing visual and manual distraction.