LEAR CORP 2021-01-1420 Jan 2021 09:13
DISTRACTEDNESS SENSING SYSTEM
A distraction detection system includes using a first signal, e.g., EDP signals or vehicle speed, and an additional signal to determine whether a person is distracted. The distraction system can be part of a vehicle seating system, A vehicle seating system is described and includes a seat configured to support an occupant and to be mounted in a vehicle and occupant sensing system at least partially integrated into the seat to sense an occupant. The sensing system senses a first criterion with respect to the occupant. A controller is configured to receive the first criterion signal from the sensing system and a second criterion to determine a distraction state of the driver. The controller can also determine a false distraction state using the distraction state and other criterion in a vehicle. The controller outputs a control signal when the distraction state exceeds a distraction threshold and when distraction is confirmed.
[0036] This system can also include cameras strategically positioned to look at the driver. Inward cameras can be used in conjunction with the seat sensors to achieve sensor fusion and increase specificity and accuracy of the distraction level detection. The camera generates multiple images of the occupant, which can be analyzed to determine additional occupant metrics. The metrics can include head position, a blink rate, pupil dilation, eye position, fixation, gaze patterns, eyelid closure, head movement facial expression, overall skeletal position, and the like. The camera system takes an image and image processing circuitry analyzes the image to determine the image metric.
[0037] The use of various metrics from different sources provides an objective quantification of distraction of the occupant. The distraction quantification can be combined with other data in the vehicle to prevent false indications of distraction, e.g., vehicle performance, driving environment, and the like. If the distraction quantification level exceeds a distraction threshold, then the vehicle may automatically trigger countermeasures, e.g., alerts, alarms, collision avoidance, and the like. If the distraction status of the driver is quantified, the vehicle can change reaction times of the collision avoidance system, e.g., the adaptive braking system, to optimize the response of the system itself in view of the driver condition as at least partly determined by the distraction level.
https://worldwide.espacenet.com/publicationDetails/description?CC=US&NR=2021009149A1&KC=A1&FT=D&ND=3&date=20210114&DB=&locale=en_EP
https://www.freepatentsonline.com/20210009149.pdf
https://www.lear.com/