Continuous identity monitoring for classifying driving data for driving performance analysis
First Claim
1. A method for determining driver behavior from at least one driving session, comprising:
- sensing at least one physical attribute of biometric data of a driver of a vehicle, by at least one sensor to obtain sensor data during the at least one driving session;
capturing a plurality of images by at least one imaging device to obtain image data during the at least one driving session;
analyzing the sensor data and the image data from the at least one driving session, to identify at least one event of interest, and a reaction of the driver to the at least one event of interest;
creating a biometrical behavioral driver profile from the biometric data extracted from at least some of the at least one sensor;
obtaining predefined characteristics of a positive event, of a negative event, and of an exception event;
correlating between the sensor data for the at least one event of interest and at least one image from the image data for the at least one event of interest, based on a time the sensor data and the image data are obtained during the at least one driving session, wherein the at least one image for the at least one event of interest provides context for the at least one event of interest;
classifying the at least one event of interest to one of three classes defined as a positive event class, a negative event class, and an exception event class according to the correlation and based on the predefined characteristics;
determining when the driver reaction is an expected reaction to the at least one event of interest according to the classification;
assigning a driver profile score to the biometrical behavioral driver profile, based on the determination;
transmitting the sensor data and the image data, in real time, over a communication network, to a remote server to be presented to a user of the remote server; and
transmitting data to the driver of the at least one driving session to make the data available to the driver, based on the biometrical behavioral driver profile and according to the driver profile score.
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Accused Products
Abstract
Embodiments are provided for determining driving behavior. In an example method for determining driver behavior from a driving session, the method includes obtaining sensor data from a sensor during a driving session, obtaining image data from an imaging device during the driving session, and analyzing at least one of the sensor data and the image data from the driving session, to identify an event of interest. The method further includes assigning a classification to the event of interest according to a correlation between the sensor data for the event of interest and at least one image from the image data for the event of interest, the correlation based on time the sensor data and the image data is obtained during the driving session, and, wherein the at least one image for the event of interest provides the context for the event of interest.
39 Citations
19 Claims
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1. A method for determining driver behavior from at least one driving session, comprising:
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sensing at least one physical attribute of biometric data of a driver of a vehicle, by at least one sensor to obtain sensor data during the at least one driving session; capturing a plurality of images by at least one imaging device to obtain image data during the at least one driving session; analyzing the sensor data and the image data from the at least one driving session, to identify at least one event of interest, and a reaction of the driver to the at least one event of interest; creating a biometrical behavioral driver profile from the biometric data extracted from at least some of the at least one sensor; obtaining predefined characteristics of a positive event, of a negative event, and of an exception event; correlating between the sensor data for the at least one event of interest and at least one image from the image data for the at least one event of interest, based on a time the sensor data and the image data are obtained during the at least one driving session, wherein the at least one image for the at least one event of interest provides context for the at least one event of interest; classifying the at least one event of interest to one of three classes defined as a positive event class, a negative event class, and an exception event class according to the correlation and based on the predefined characteristics; determining when the driver reaction is an expected reaction to the at least one event of interest according to the classification; assigning a driver profile score to the biometrical behavioral driver profile, based on the determination; transmitting the sensor data and the image data, in real time, over a communication network, to a remote server to be presented to a user of the remote server; and transmitting data to the driver of the at least one driving session to make the data available to the driver, based on the biometrical behavioral driver profile and according to the driver profile score. - View Dependent Claims (2, 3, 4, 5, 6, 7, 8, 9, 10, 11, 12)
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13. A system for determining driver behavior from at least one driving session, comprising:
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at least one sensor for sensing at least one physical attribute of biometric data of a driver of a vehicle to obtain sensor data during the at least one driving session; an imaging device for capturing a plurality of images to obtain images during the at least one driving session; and a processor in communication with the at least one sensor and the imaging device, the processor programmed to; analyze at least one of the sensor data or image data from the at least one driving session, to identify at least one event of interest and a reaction of the driver to the at least one event of interest; create a biometrical behavioral driver profile from the biometric data extracted from at least some of the at least one sensor; obtain predefined characteristics of a positive event, of a negative event, and of an exception event; correlate between the sensor data for the at least one event of interest and at least one image from the image data for the at least one event of interest, based on a time the sensor data and the image data are obtained during the at least one driving session, wherein the at least one image for the at least one event of interest provides context for the at least one event of interest; classify the at least one event of interest to one of three classes defined as a positive event class, a negative event class, and an exception event class according to the correlation and based on the predefined characteristics; determine when the driver reaction is an expected reaction to the at least one event of interest according to the classification; assign a driver profile score to the biometrical behavioral driver profile, based on the determination; transmit the sensor data and the image data, in real time, over a communication network, to a remote server, to be presented to a user of the remote server; and transmit data to the driver of the at least one driving session to make the data available to the driver, based on the biometrical behavioral driver profile and according to the driver profile score. - View Dependent Claims (14, 15, 16, 17, 18, 19)
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Specification