Cambridge Mobile Telematics Inc.

Truemotion, Inc.

Dan Shiebler

Brad Cordova

Rafi Finegold

Eddie Vaisman

Kevin Farrell

Sam Cecala

A system for reporting accident data includes: a mobile device having a plurality of sensors; a memory; and a processor coupled to the memory. The processor is configured to perform operations including: operating the plurality of sensors to collect driving data; receiving the driving data collected over a plurality of time intervals from at least one of the plurality of sensors in the mobile device of a user during a trip in a vehicle, assigning the driving data to the trip; receiving input indicating the trip is associated with an accident, wherein the input includes additional data associated with the accident; transmitting the driving data assigned to the trip associated with the accident; and transmitting the additional data associated with the accident.

Method and system for accident detection using contextual data

Embodiments of the present invention utilize mobile devices to provide information on a user's behaviors during transportation. For example, a mobile device carried by a user can be used to detect and analyze driving behaviors during trips in vehicles. The mobile device can further be used to assign and display scores relating to the driving behaviors, scores for individual trips, and an overall driving score for the particular user.

Systems and methods for scoring driving trips

Embodiments relate to transportation systems. More particularly, embodiments relate to methods and systems of vehicle data collection by a user having a mobile device. In a particular embodiment, vehicle data (also termed herein 'driving data' or “data”) is collected, analyzed and transformed, and combinations of collected data and transformed data are used in different ways, including, but not limited to, predicting, detecting, and reconstructing vehicle accidents.

Systems and methods for sensor-based vehicle crash prediction, detection, and reconstruction

A method for determining usage of a mobile device in a vehicle by a user includes receiving a first value indicating an 'off' state of a screen of the mobile device at a first time, obtaining first movement measurements, and computing a gravity diff angle (GDA) value for the first movements. The method also includes determining that the GDA value exceeds a predefined GDA threshold value, computing summary statistics for the first movements, and classifying the summary statistics as corresponding to mobile device usage starting. The method further includes classifying the first movements of the mobile device as usage movements in response to determining that the GDA value exceeds the predefined GDA threshold, classifying the summary statistics as corresponding to mobile device usage starting, or both, and generating an indication of mobile device usage in response to classifying the first movements of the mobile device as usage movements.

Device-based systems and methods for detecting screen state and device movement

A system includes: a mobile device comprising a plurality of sensors; a display device; a memory that stores instructions; and a processor. The processor is configured to execute the instructions to: operate the plurality of sensors over a plurality of time intervals during a trip in a vehicle to collect driving data; detect, using the driving data, a driving event that occurred during the trip and cause the mobile device to collect additional data associated with the trip in response; receive the additional data associated with the trip; determine that a vehicle accident event occurred during the trip based on the driving data and the additional data; and cause the display device to output an indication of the vehicle accident event.

A method for determining usage of a mobile device in a vehicle by a user includes receiving a first value indicating an 'off' state of a screen at a first time, operating at least one sensor of the mobile device to obtain first movement measurements, and classifying the first movements as usage movements. The method also includes generating an indication of mobile device usage, receiving a second value indicating an 'on' state of the screen at a second time, operating the at least one sensor to obtain second movement measurements, and classifying the second movements as usage movements or non-usage movements. The method further includes maintaining the indication of mobile device usage in response to the second movements being classified as usage movements or changing the indication of mobile device usage to an indication of mobile device non-usage in response to the second movements being classified as non-usage movements.

Embodiments of the present invention relate to transportation systems. More particularly, embodiments relate to methods and systems of vehicle data collection by a user having a mobile device. In a particular embodiment, vehicle data (also termed herein 'driving data' or 'data') is collected, analyzed and transformed, and combinations of collected data and transformed data are used in different ways, including, but not limited to, predicting, detecting, and reconstructing vehicle accidents.

Methods and devices for identifying a driver of a vehicle are provided. Embodiments collect vehicle and driving data using a mobile device of a user. The collected data may be used to estimate whether a user of the mobile device is a driver or a passenger in a vehicle. Data collected using the mobile device may be analyzed to determine when the user is engaging in distracted driving behavior.

Systems and methods for detecting and assessing distracted drivers

Embodiments of the present invention meet this need and others by providing systems and methods for detecting and assessing distracted drivers. Embodiments collect vehicle and driving data using a mobile device of a user. In a particular embodiment, data collected using the mobile device is analyzed to determine when the user is engaging in distracted driving behavior.

Embodiments of the present invention relate to transportation systems. More particularly, embodiments relate to methods and systems for detecting airbag deployment. The method includes obtaining one or more measurements from one or more sensors of a mobile device in a vehicle during a drive, determining a change in pressure based on processing the one or more measurements, and detecting a deployment of one or more vehicle airbags based on the change in pressure.

Systems and methods for detecting airbag deployment resulting from a vehicle crash

Embodiments of the present invention utilize mobile devices to provide information on a user's behaviors during transportation. For example, a mobile device carried by a user can be used to detect and analyze driving behavior. Important driving behaviors that can be identified by some embodiments are device usage behavior and device interaction behavior, which is indicative of distraction or inattentiveness to one or more driving tasks.

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Boston, MA, United States of America

Dan Shiebler