Abstract: A system for displaying information indicative of driving conditions, to a driver, using a smart ring are disclosed. An exemplary system includes a smart ring with a ring band having a plurality of surfaces including an inner surface, an outer surface, a first side surface, and a second side surface. The system further includes a processor, configured to obtain data from a communication module within the ring band, or from one or more sensors disposed within the ring band. The obtained data are representative of information indicative of one or more driving conditions to be displayed to the driver. The smart ring also includes a projector module display disposed on at least one of the plurality of surfaces, and configured to present information indicative of the one or more driving conditions.

Abstract: Systems, methods, and techniques for assessing driver safety based on noise levels or sounds associated with the interior of a vehicle are provided. Noise levels or sounds associated with the interior of a vehicle over a first interval of time may be compared to indications of vehicle motion over the first interval of time to identify noise levels or sounds at times when the indications of vehicle motion indicate unsafe driving. The identified noise levels or sounds may be analyzed to determine noise levels, sources, and/or characteristics of sounds associated with unsafe driving. Noise levels or sounds associated with the interior of the vehicle over a second interval of time may be analyzed to determine instances in which the noise levels, sources, and/or characteristics of sounds associated with unsafe driving occur over the second interval of time. Alerts may be generated for vehicle operators based on the determined instances.

Abstract: A video analytics based image verification system for obtaining initial vehicle profiles is presented. The system may include an external processing server that receives a location of a vehicle and proximate traffic information to determine whether it is safe for a user to obtain an initial vehicle profile. The external processing server may further determine first and second profile features from video data indicative of the vehicle. The external processing server may compare the second profile feature to an image verification indicator to generate an image verification score. A provider server may receive the first profile feature and the image verification score from the external processing server, and update a risk evaluation to include the initial vehicle profile if the image verification score is above an image verification threshold.

Abstract: Method and system for updating a character profile of a virtual character of a telematics-based game. In some examples, a computer-implemented method includes: generating a virtual trip including one or more virtual occurrences with the associated one or more outcomes; presenting a trip success prediction, a predicted change in vehicle condition, a first user-selectable command, and a second user-selectable command to the user; upon receiving the user's selection of the first user-selectable command, updating the character profile by at least initiating the virtual trip with the virtual character; upon receiving the user's selection of the second user-selectable command: updating the one or more outcomes according to a predetermined adjustment; and updating the character profile by at least initiating the virtual trip with the virtual character based on the updated one or more outcomes.

Abstract: A method performed by a housing can include collecting, by one or more sensors of the housing, a biometric data of a user while the user is wearing the housing. The method performed by the housing also can include performing, by one or more processors, an authentication operation. The authentication operation can include analyzing the biometric data of the user. The authentication operation also can include comparing the biometric data of the user to a biometric signature for a known user to determine whether the biometric data of the user matches the biometric signature for the known user. The authentication operation further can include authenticating the user as the known user when the biometric data of the user is determined to match the biometric signature for the known user. Other embodiments are disclosed.

Abstract: A telematics analysis computing device for monitoring driving behavior of a driver of a vehicle, the telematics analysis computing device comprising one or more processors in communication with a memory device comprising computer instructions that, when run on the one or more processors, cause the one or more processors to execute operations: receiving telematics data collected from one or more electronic devices of one or more users; analyzing the telematics data to determine (a) one or more stop locations and (b) one or more driving behaviors of the one or more users at the one or more stop locations; generating, based on analyzing the telematics data, safety scores for the one or more stop locations; generating a route based on a request received from an electronic device of the driver; identifying, along the route, as generated, at least one of the one or more stop locations having a respective safety score of the safety scores that is below a predetermined threshold; and transmitting a notification to th

Abstract: A method includes receiving telematics data comprising information related to one or more driving behaviors of the user. The method also includes processing one or more user interface features based at least in part upon the telematics data. The method further includes generating a web page for the user. Other embodiments are disclosed herein.

Abstract: A computer-implemented method includes receiving a data model indicative of operation of a vehicle by an operator in a real-world geographic area. The method also includes generating, in a virtual environment, a virtual trip of a virtual vehicle operated by a virtual operator. The method further includes processing virtual operation of the virtual vehicle in association with the virtual trip. The method further includes transmitting for displaying, on a virtual map in a user interface, visual data indicative of the virtual operation of the virtual vehicle in association with the virtual trip. Other embodiments are disclosed.

Abstract: A computer-implemented method for health assessment includes providing an artificial neural network trained with training data. The method also includes receiving activity data comprising personal activity metrics corresponding to a target person, and determining, by the artificial neural network, a health indicator of the target person based upon the activity data corresponding to the target person. The method further includes outputting the health indicator of the target person to an electronic device for communication of the health indicator to a user of the electronic device. Other embodiments are disclosed.

Abstract: A system for displaying contextually-sensitive braking information on a surface of a vehicle is presented. The system may include a transceiver, one or more memories, an electronic display disposed on the surface, and one or more processors. The one or more processors may be configured to detect a braking event of the vehicle, wherein the braking event has an associated braking force. The one or more processors may compare the braking force to a predetermined threshold braking force to determine whether the braking force exceeds the threshold braking force. The one or more processors may further cause the electronic display to display a braking indication having an intensity that is proportional to the braking force, wherein the braking indication may include a braking rationale corresponding to the braking event in response to determining that the braking force exceeds the threshold braking force.

Abstract: Methods and systems for assessing driving autonomous system (DAS) performance based on the telematics data, vehicle type, and/or driving environment. The methods and/or systems may receive driving data indicative of vehicle performance based on DAS operation of the vehicle during a time period; select a portion of the driving data related to at least one performance metric of the DAS operated vehicle during the time period; receive historical DAS performance data that includes at least one performance metric of a vehicle-type of DAS operated vehicle that includes the vehicle; analyze the selected portion of the driving data during the time period with the historical DAS performance data; calculate a DAS score for the vehicle based on the analysis of the selected portion of the driving data during the time period with the historical DAS performance data of the vehicle type; and adjust DAS operation of the vehicle based on the calculated DAS score for the vehicle.

Abstract: A device for validating authorization key obfuscation in a continuous integration (CI) pipeline codebase is presented. The device includes a transceiver, one or more memories, and one or more processors interfacing with the transceiver and the one or more memories. The one or more processors are configured to receive an update to the CI pipeline codebase. The update may include an authorization key, which the one or more processors store in the one or more memories. The one or more processors may perform a build process to integrate the update into the CI pipeline codebase. The build process may include an obfuscation, which creates an obfuscated CI pipeline codebase. The one or more processors may also scan the obfuscated CI pipeline codebase to determine a presence or an absence of the authorization key.

Abstract: A method and system is provided for identifying local businesses visited by a user. Location and movement data for a user is analyzed to identify points of interest (POIs) visited by a user, and POIs which were not visited while the user travelled to the visited POIs. The POIs are categorized as corresponding to local businesses or national/global businesses, and local business metrics are generated according to frequencies in which the user visits local businesses and/or passes over national/global businesses in favor of local businesses. Then the local business metrics are presented on the user's client computing device along with a heat map indicating frequencies in which the user visited businesses within a geographic area, and/or a cool map indicating frequencies in which the user passed by businesses within the geographic area.

Abstract: Method and system for determining a status of an application previously installed on a mobile device of a user are disclosed. For example, the method includes determining that an application has been installed on a mobile device of a user, determining whether the sensor data is received from the application at least once during a predetermined time interval, determining that the application does not work properly on the mobile device of the user in response to the sensor data being not received at least once during the predetermined time interval, and transmitting a notification to the mobile device indicating that the application does not work properly.

Abstract: Method, system, device, and non-transitory computer-readable medium for classifying a vehicle trip. In one aspect, a computer-implemented method includes: obtaining a first set of historic telematics data associated with work; obtaining a second set of historic telematics data associated with personal use; training a classification model; obtaining a set of unlabeled telematics data associated with an unlabeled vehicular trip; and classifying the unlabeled vehicular trip by at least: identifying a first set of baseline operation features associated with the first set of historic vehicular trips; identifying a second set of baseline operation features associated with the second set of historic vehicular trips; identifying a set of representative operation features associated with the unlabeled vehicular trip; comparing the set of representative operation features against the first set of baseline operation features and the second set of baseline operation features; and classifying the unlabeled vehicular trip.

Abstract: Systems and methods for providing continuous safe-driver training safely are provided. A safe-driving challenge may be presented to an operator of a vehicle. Data captured by sensors associated with the vehicle may be analyzed to determine whether the operator of the vehicle has completed the safe-driving challenge. Based on a determination that the operator of the vehicle has completed the safe-driving challenge, a notification may be provided to the operator (e.g., indicating to the operator that he or she has successfully completed the challenge). A processor may randomly select whether a reward is to be provided to the operator of the vehicle based on the determination that the operator of the vehicle has completed the safe-driving challenge. Moreover, if a reward is to be provided to the operator of the vehicle, a processor may randomly select a type of reward to be provided to the operator of the vehicle.

Abstract: The described systems and methods determine a driver's fitness to safely operate a moving vehicle based at least in part upon observed sleep patterns. A smart ring, wearable on a user's finger, continuously monitors sleep amount and quality or the lack thereof. This sleep data, representing sleep patterns, can be utilized, in combination with driving data, to train a machine learning model, which will predict the user's level of risk exposure based at least in part upon observed sleep patterns. The user can be warned of this risk to prevent them from driving or to encourage them to get more sleep before driving. In some instances, the disclosed smart ring system may interact with the user's vehicle to prevent it from starting while in a sleep deprived and high risk state.

Abstract: Method and system for training a virtual character of a telematics-based game. In some examples, a computer-implemented method includes: determining, based at least in part upon telematics data, a plurality of skill points associated with a plurality of real skills exhibited by the user during the one or more real trips; training a virtual character by at least updating, based at least in part upon the plurality of skill points, the plurality of virtual ratings; generating, based at least in part upon the character profile, one or more virtual occurrences to be encountered by the virtual character; determining, based at least in part upon the updated plurality of virtual ratings, one or more outcomes associated with the one or more virtual occurrences; updating the character profile by at least applying the one or more virtual occurrences based on the associated one or more outcomes to the virtual character.