Patent Issued for Continuous Identity Monitoring For Classifying Driving Data For Driving Performance Analysis (USPTO 10,229,461)
2019 MAR 22 (NewsRx) -- By a
The patent’s inventors are Akiva, Ohad (Ramat-Gan, IL); Atsmon, Alon (
This patent was filed on
From the background information supplied by the inventors, news correspondents obtained the following quote: “The present disclosure is directed to methods and systems for calculating insurance premiums based on an analysis of driver behavior, and verification of the actual driver for whom the behavior is being analyzed.
“Current programs which determine automobile insurance premiums are based on data collected on external devices on the vehicle. These devices include those with on board diagnostic sensors, and are also black boxes and other sensors, which detect, for example, location, speed, and acceleration, of a vehicle. By analyzing the data from the sensors, a determination of the driving behavior is made, from which automobile insurance premiums are calculated. For example, a ‘hard’ braking event is detected by rapid decreases in speed and acceleration. Such hard breaking events are typically associated with inattentive or distracted drivers, who have to come to a quick stop based on their inattentiveness, which is bad driving behavior. Such bad driving behavior is typically associated with a high risk of accidents, hence, this driver will pay higher insurance premiums, when compared to a driver deemed to be ‘safer’ or a lower risk.
“However, this sensor data alone is not enough, and may not provide all of the facts about the particular driving behavior, and the event from which it is based. This is because not all data detected, which initially appears to be bad or unsafe driving behavior, is actually indicative of bad or unsafe driving. For example, when the sensors detect a hard braking event, it may not be the fault of an inattentive or distracted driver having to come to a quick stop, but rather, a driver forced to brake suddenly to avoid colliding with another vehicle entering their lane or driving path. Here, the driver has acted correctly and safely. However, without more than the data from the sensors, there is not any way of knowing that this action was actually a safe and correct driving behavior.”
Supplementing the background information on this patent, NewsRx reporters also obtained the inventors’ summary information for this patent: “The present disclosure, in some embodiments, is directed to a method for determining driver behavior from at least one driving session. The method comprises: obtaining sensor data from at least one sensor during at least one driving session; obtaining image data from at least one imaging device during the at least one driving session; analyzing at least one of the sensor data and the image data from the at least one driving session, to identify at least one event of interest; and, assigning a classification to the at least one event of interest according to a correlation 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, the correlation based on time the sensor data and the image data is obtained during the at least one driving session, and, wherein the at least one image for the at least one event of interest provides the context for the at least one event of interest.
“Optionally, the method additionally comprises analyzing the classification of the at least one event of interest to determine a score for the driver behavior.
“Optionally, the at least one event of interest includes a plurality of events of interest.
“Optionally, the method additionally comprises calculating an insurance premium for at least one of the driver and the vehicle, from at least one of a score of driver behavior and at least one event of interest.
“Optionally, each event of interest of the plurality of events of interest is classified as one of a positive event, a negative event, or an exception.
“Optionally, the obtaining data from the at least one imaging device includes obtaining images of the path traversed by the vehicle during the driving session.
“Optionally, the obtaining data from the at least one imaging device includes obtaining images of the driver of the vehicle during the driving session.
“Optionally, the context provided by the at least one image relates to at least one of identification of the driver, and actions taken by the driver.
“Optionally, the method additionally comprises obtaining additional data about the driver, and using this data to recalculate the score for the driver behavior.
“Optionally, the at least one sensor includes a sensor for detecting at least one of acceleration, speed, location, proximity of the vehicle to other vehicles, revolutions per minute (RPM) of the engine, sounds, obstacles, weather and atmospheric conditions, and light.
“Optionally, the driving session includes the time period beginning when the driver enters the vehicle, and ends when the driver exits the vehicle, or any predefined portion there between.
“Optionally, the sensor data and the image data is transmitted to at least one storage medium over a communications network.
“Optionally, the sensor data and image data is transmitted over a communications network to a computer linked to the communications network, the computer for the analyzing at least one of the sensor data or the image data from the at least one driving session, to identify at least one event of interest.
“Optionally, the at least one driving session includes a single driving session and the score is determined for the single driving session.
“The present disclosure, in some embodiments, is directed to a system for determining driver behavior from at least one driving session. The system comprises: a plurality of sensors for obtaining sensor data during at least one driving session; an imaging device for obtaining images during the at least one driving session; and; a processor in communication with the plurality of sensors and the imaging device. The processor is programmed to: analyze at least one of the sensor data or the image data from the at least one driving session, to identify at least one event of interest; and, assign a classification to the at least one event of interest according to a correlation, made by a correlation module, between the sensor data for the at least one event and at least one image from the image data for the at least one event of interest, the correlation based on time the sensor data and the image data is obtained during the at least one driving session, and, wherein the at least one image for the at least one event of interest provides the context for the at least one event of interest.
“Optionally, the processor is additionally programmed to analyze the assigned classification of the at least one event of interest to determine a score for the driver behavior.
“Optionally, the processor is additionally programmed to calculate insurance premiums for at least one of the driver and the vehicle, from at least one of a score of driver behavior and at least one event of interest.
“Optionally, the imaging device includes a camera.
“Optionally, the imaging device includes a plurality of cameras on both sides of the imaging device for obtaining front and rearward images with respect to the vehicle.
“Optionally, the processor is additionally programmed to correlate a driver identification by associating an image of the driver to the at least one event of interest, for the at least one driving session.
“Optionally, the system additionally comprises a wearable device for the driver for obtaining biometric data of the driver during the at least one driving session, the wearable device in communication with the processor, the wearable device for obtaining biometric data for the driver.
“Optionally, the processor is additionally programmed to correlate a driver identification by associating biometric data of the driver to the at least one event of interest, for the at least one driving session.
“Optionally, the plurality of sensors includes sensors for detecting at least one of: acceleration, speed, location, proximity of the vehicle to other vehicles, revolutions per minute (RPM) of the engine, sounds, obstacles, weather and atmospheric conditions, and light.
“Optionally, the wearable device includes sensors for at least one of heart rate, pulse rate, body temperature, skin moisture, fat, and an imaging device for visually identifying the driver.
“Optionally, the processor is additionally programmed to create a biometrical behavioral profile from the biometric data obtained from the wearable device during the at least one driving session.
“Optionally, the at least one driving session includes a plurality of driving sessions and the processor is additionally programmed to create a biometrical behavioral profile from the biometric data obtained from the wearable device during the plurality of driving sessions.
“Optionally, the processor is additionally programmed to calculate an insurance premium for at least one of the driver or the vehicle, from the biometrical behavioral profile.
“Optionally, the processor is additionally programmed to transmit data to the driver based on the biometrical behavioral profile created for the driver.
“Unless otherwise defined, all technical and/or scientific terms used herein have the same meaning as commonly understood by one of ordinary skill in the art to which the disclosure pertains. Although methods and materials similar or equivalent to those described herein can be used in the practice or testing of embodiments of the disclosure, exemplary methods and/or materials are described below. In case of conflict, the patent specification, including definitions, will control. In addition, the materials, methods, and examples are illustrative only and are not intended to be necessarily limiting.”
The claims supplied by the inventors are:
“The invention claimed is:
“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.
“2. The method of claim 1, wherein the sensor data and the image data are transmitted to at least one storage medium over the communication network.
“3. The method of claim 2, wherein the sensor data and the image data are transmitted over the communication network to the remote server for the analyzing at least one of the sensor data or the image data from the at least one driving session, to identify the at least one event of interest.
“4. The method of claim 1, wherein the at least one driving session includes a single driving session and the driver profile score is determined for the single driving session.
“5. The method of claim 1, wherein the at least some of the at least one sensor used to extract the biometric data is contained in a wearable device.
“6. The method of claim 5, wherein the wearable device includes sensors for measuring at least one of heart rate, pulse rate, body temperature, skin moisture, and fat, and an imaging device for visually identifying the driver.
“7. The method of claim 1, wherein the at least one event of interest includes a plurality of events of interest.
“8. The method of claim 7, additionally comprising calculating an insurance premium for at least one of the driver and the vehicle, from at least one of the driver profile score and the at least one event of interest.
“9. The method of claim 7, wherein the obtaining image data from the at least one imaging device includes obtaining images of a path traversed by the vehicle during the at least one driving session.
“10. The method of claim 7, wherein the obtaining image data from the at least one imaging device includes obtaining images of the driver of the vehicle during the at least one driving session.
“11. The method of claim 10, wherein the context provided by the at least one image relates to at least one of identification of the driver and actions taken by the driver.
“12. The method of claim 7, additionally comprising obtaining additional data about the driver and using the additional data to recalculate the driver profile score.
“13. A system for determining driver behavior from at least one driving session, comprising: 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.
“14. The system of claim 13, wherein the imaging device includes a camera.
“15. The system of claim 14, wherein the imaging device includes a plurality of cameras on both sides of the imaging device for obtaining front and rearward images with respect to the vehicle.
“16. The system of claim 13, additionally comprising a wearable device to be worn by the driver for obtaining the biometric data of the driver during the at least one driving session, the wearable device in communication with the processor.
“17. The system of claim 16, wherein the processor is additionally programmed to correlate a driver identification by associating the biometric data of the driver to the at least one event of interest, for the at least one driving session.
“18. The system of claim 16, wherein the wearable device includes sensors for measuring at least one of heart rate, pulse rate, body temperature, skin moisture, and fat, and an imaging device for visually identifying the driver.
“19. The system of claim 13, wherein the processor is additionally programmed to correlate a driver identification by associating an image of the driver to the at least one event of interest, for the at least one driving session.”
For the URL and additional information on this patent, see: Akiva, Ohad; Atsmon, Alon; Atsmon, Dan. Continuous Identity Monitoring For Classifying Driving Data For Driving Performance Analysis.
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