Personalized driver stress prediction using geographical databases
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United States of America Patent
Stats
-
Jul 29, 2003
Grant Date -
May 22, 2003
app pub date -
Nov 21, 2001
filing date -
Nov 21, 2001
priority date (Note) -
In Force
status (Latency Note)
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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.
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