A survey of computer vision-based human motion capture
Computer Vision and Image Understanding - Modeling people toward vision-based underatanding of a person's shape, appearance, and movement
Multiperspective Thermal IR and Video Arrays for 3D Body Tracking and Driver Activity Analysis
CVPR '05 Proceedings of the 2005 IEEE Computer Society Conference on Computer Vision and Pattern Recognition (CVPR'05) - Workshops - Volume 03
Multimodal Person Recognition for Human-Vehicle Interaction
IEEE MultiMedia
Turn-Intent Analysis Using Body Pose for Intelligent Driver Assistance
IEEE Pervasive Computing
Driver monitoring for a human-centered driver assistance system
Proceedings of the 1st ACM international workshop on Human-centered multimedia
Looking-In and Looking-Out of a Vehicle: Computer-Vision-Based Enhanced Vehicle Safety
IEEE Transactions on Intelligent Transportation Systems
Human posture recognition for intelligent vehicles
Journal of Real-Time Image Processing
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Vehicle handling and control is an essential aspect of intelligent driver assistance systems, a building block of the upcoming generation of "smart cars". A car's handling is affected by (i) technological (engine, suspension, brakes, tires, wheels, steering, etc.), (ii) environmental (road condition, weather, traffic, etc.), and (iii) human (attentiveness, reactiveness, driver agility, etc.) factors, and their mutual interrelationship. In this paper we investigate on how a driver's endeavor for precise steering interferes with lateral acceleration while cornering. Depending on the steering ratio and the cruising speed, we identify that the readiness of a driver to compensate lateral forces exhibits counterintuitive characteristics. A driver body posture recognition technique based on a high resolution pressure sensor integrated invisibly and unobtrusively into the fabric of the driver seat has been developed. Sensor data, collected by two 32×32 pressure sensor arrays (seat- and backrest), is classified according to features defined based on cornering driving situations. Experimental results verify an increased readiness to compensate lateral acceleration with increasing driving speed, but only beyond a certain driver specific "break even" point. Above intelligent driver assistance, e.g. to improve steering precision, to reduce or avoid over-steer or under-steer, or to proactively notify electronic stability control (ESC), our results also encourage for new modalities in driver-to-car and car-to-roadside interaction.