U.S. patents available from 1976 to present.
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Personalized driver stress prediction using geographical databases

Patent 6599243 Issued on July 29, 2003. Estimated Expiration Date: Icon_subject 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.

Patent References

Cardiac rate measuring apparatus
Patent #: 5783997
Issued on: 07/21/1998
Inventor: Saitoh, et al.

Interactive vehicle control system
Patent #: 6351698
Issued on: 02/26/2002
Inventor: Kubota, et al.

Assist device in designation of destination
Patent #: 6401029
Issued on: 06/04/2002
Inventor: Kubota, et al.

Dangerous area alarm system
Patent #: 6459365
Issued on: 10/01/2002
Inventor: Tamura

System and method for using impulse radio technology to track and monitor vehicles Patent #: 6501393
Issued on: 12/31/2002
Inventor: Richards, et al.

Inventors

Assignee

Application

No. 989431 filed on 11/21/2001

US Classes:

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

Examiners

Primary: Nasser, Robert L.

Attorney, Agent or Firm

Foreign Patent References

  • 10082653 JP. 03/12/1998
  • 0157826 WO. 08/12/2012

International Class

A61B 005/00

Abstract

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.

Other References

  • Wilson, et al., "Position Aware Safety Systems", DaimlerBenz Interim Report, Jul. 20, 1998
  • Schroedl, et al., "Mining GPS Traces for Map Refinement", DaimlerChrysler RTNA, May 7, 2001
  • Healey, et al., "SmartCar: Detecting Driver Stress" MIT Media Laboratory, 2000
  • Rogers, et al., "A Route Advice Agent that Models Driver Preferences", DaimlerChrysler Research and Technology Cente
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