Cambridge Mobile Telematics Inc.

Massachusetts Institute of Technology

Nokia Corporation

Jun-geun Park

William Francis Bradley

Hari Balakrishnan

Samuel Ross Madden

Jonathan Ledlie

Kimberly Shea

Geronimo Mirano

Seth J Teller

Dorothy W Curtis

Jamey Hicks

Benjamin Charrow

Jonathan Battat

Ami Patel

Einat Minkov

Among other things, a documentation of a crash involving a vehicle is generated automatically. Telematics data is received that has been produced by one or more sensors associated with a telematics device at the vehicle. Based on the telematics data, a vehicle crash period is determined that begins at a start time and ends at an end time of the vehicle crash. Based on the telematics data, one or more metrics are determined associated with the vehicle during the vehicle crash period. Based on one or more metrics, a human-readable documentation of the vehicle crash is generated automatically.

Vehicle telematics of vehicle crashes

Among other things, safety performance of vehicles is monitored or evaluated, or both. Sensor data is received from one or more sensors at a vehicle. One or more risk sources encountered by the vehicle during a period of operation of the vehicle are identified based on the sensor data. One or more safety events experienced by the vehicle during the period of operation are identified based on the sensor data. A risk of a safety event experienced by the vehicle during the period of operation is determined based on the one or more risk sources. A safety performance of the vehicle during the period of the vehicle during the period of operation of the vehicle is determined based on the one or more safety events and the risk.

Evaluating the safety performance of vehicles

Among other things, information generated by sensors of a mobile phone and indicative of motion of the mobile phone and state information indicative of a state of operation of the mobile phone are monitored. Based on the monitoring, distraction by a user of the mobile phone who is a driver of a vehicle is determined.

Determining, scoring, and reporting mobile phone distraction of a driver

Among other things, an operation of a computational device in identifying a type of a given trip of a person is improved. Historical information is stored about prior trips of the person or of other people or both. The historical information is based on other than recorded motion data of the trips. Features are derived about the prior trips from the historical information. Features indicative of the type of the given trip are identified by the computational device. The type of the given trip is identified based on the features derived from the historical information.

Using telematics data to identify a type of a trip

A method and apparatus are provided to permit location discovery, including location discovery in indoor settings. The method may identify a wireless fingerprint present at a geographical location and determine whether the wireless fingerprint corresponds to a previously observed wireless fingerprint associated with the predefined geographical location. A new wireless fingerprint and a geographical location, or bind, may be received by the system and the system may evaluate whether or not the new bind is erroneous or not, or if the new bind is an improvement over existing binds in determining whether or not to accept the new bind.

Method and apparatus for constructing a user-generated geographical system

An apparatus for determining a speed of cyclic motion of a device or user and one or more poses of a device may include a processor and memory storing executable computer code causing the apparatus to at least perform operations including receiving one or more determined acceleration values during one or more time periods in response to detected cyclic motion of a user moving with an apparatus. The computer program code may further cause the apparatus to transform the acceleration values to one or more corresponding frequency components associated with the acceleration values. The computer program code may further cause the apparatus to determine a speed of the cyclic motion of the user based in part on comparing a spectrum of the frequency components to one or more spectrums of distribution associated with respective one or more speeds of training data. Corresponding methods and computer program products are also provided.

Methods, apparatuses and computer program products for determining speed of movement of a device and device pose classification

An apparatus for preserving privacy of a determined location(s) of a device may include a processor and memory storing executable computer code causing the apparatus to at least perform operations including receiving a request for determining a location of a device based on received fingerprint data corresponding to a summary of radio information identifying a physical place, location, area, or region. The summary based on information received from radio frequency (RF) devices. The computer program code may further cause the apparatus to determine whether fingerprint data associated with a geographical location of the RF devices is stored locally for determining whether to request a network device to determine the location of the device based on providing the network device with fingerprint data and false fingerprint data relating to a location(s) that does not correspond to a current location of the device. Corresponding methods and computer program products are also provided.

Growing community of inventors

Cambridge, MA, United States of America

Jun-geun Park