Personalized driver stress prediction using geographical databases
Patent 6599243 Issued on July 29, 2003. Estimated Expiration Date: November 21, 2021. Estimated Expiration Date is calculated based on simple USPTO term provisions. It does not account for terminal disclaimers, term adjustments, failure to pay maintenance fees, or other factors which might affect the term of a patent.
600/300, DIAGNOSTIC TESTING340/425.5, LAND VEHICLE ALARMS OR INDICATORS340/435, Of relative distance from an obstacle340/436, Of collision or contact with external object340/438, Internal alarm or indicator responsive to a condition of the vehicle340/903, Relative distence between vehicles (e.g., collision alert)600/301, Via monitoring a plurality of physiological data, e.g., pulse and blood pressure600/485, Measuring pressure in heart or blood vessel600/490, Force applied against skin to close blood vessel600/500, Detecting blood vessel pulsation600/508, Heart600/549, Temperature detection701/201, Determination of travel data based on the start point and destination point701/301Collision avoidance
A system installed in a motor vehicle for inferring a vehicle operator's stress level from body sensors and from environmental data related to the position and operation of the vehicle. The system functions in a training phase using machine learning techniques to derive a model of an individual operators stress reaction to the environment in which the vehicle is operated and, using the results of this training phase, the system is subsequently used to predict stress levels to be expected when certain traffic conditions are imminent based on a projection of the driver's physiolocial state. The result of this prediction of stress level for the individual driver is used to control or warn the driver with respect to operation and scheduling of attention diverting devices such as cellular phones.