Abstract: A system comprises one or more processors and non-transitory computer-readable media storing instructions that cause the processors to determine, based on vehicle telematics data, GUI position and corresponding GUI time values. The instructions can cause the processors to render, on a mobile device GUI, an interactive animated representation of the vehicle's trip on an electronic map by rendering geospatial graphics at the GUI position and time values, wherein the trip is delineated by a geographic stop destination. Additionally, the system display photographs associated with the stop destination on the map, comprising historical photographs taken by other users while stopped at the destination. Additionally, the instructions can cause the processors to render, on the GUI, a time bar corresponding to the GUI time values, operable to play back, through rewind or replay, images of the geospatial graphics over a time period. Other embodiments are disclosed.

Abstract: A smart ring charging system comprises a charging source integrated into an object, the object configured to be held by a user wearing a smart ring. The smart ring may include a ring-shaped housing and a power source disposed within or at the ring-shaped housing and configured to receive energy from the charging source while the user is wearing the smart ring and holding the object. A controller may be disposed within or at the ring-shaped housing, or at the object with the charger and configured to estimate a charging rate at which the power source receives the energy from the charging source. The system may further include one or more indicators configured to indicate the charging rate.

Abstract: The described methods and systems decrease instances of distracted driving, encourage more frequent use of vehicle tracking services, and generally improve the risk profile of a driver and vehicle. These benefits are achieved by way of a vehicle computer system that incentivizes users to place mobile devices in a do-not-disturb (DND) mode and to activate vehicle tracking services. The vehicle computer system encourages these behaviors by enabling content delivery for devices within the vehicle based on the status of the mobile device(s) and the status of the vehicle tracking service(s). Specifically, the content delivery may comprise data for providing a gamified user interface within the vehicle.

Abstract: A computer-implemented method for improving compression of predictive models can include providing a labeled data set. The computer-implemented method also can include training, using the labeled data set, a neural network model associated with one or more training parameters to create a trained neural network model. Other embodiments are disclosed.

Abstract: A computer-implemented method, comprising: determining whether a mobile device of a user is in a vehicle during a time interval based at least upon sensor data, wherein the sensor data comprises first sensor data collected at a first time and second sensor data collected at a second time by the mobile device of the user, wherein the second time follows the first time by the time interval, and wherein determining whether the mobile device of the user is in the vehicle during the time interval includes: comparing at least a portion of the second sensor data with at least a portion of the first sensor data to determine one or more changes during the time interval; and determining whether the one or more changes satisfy one or more predetermined conditions; and-determining a reliability of the sensor data based on determining whether the mobile device of the user is in the vehicle during the time interval.

Abstract: A system for analyzing wireless telematics data to determine that a vehicle is engaged in an extended period of travel and prompt additional devices within the vehicle regarding the extended period of travel. The system may comprise a telematics server and a plurality of mobile applications to be implemented on a plurality of telematics devices belonging to a plurality of users. The plurality of telematics devices transmit telematics data to the telematics server. The data is analyzed and the telematics server transmits an indication to the telematics devices, causing the mobile applications to execute in a driver application mode or passenger application mode. Messages containing notifications to change drivers or pull over are sent to the telematics devices.

Abstract: Method and system for generating a hybrid epoch score for a user. In some examples, a computer-implemented method includes: receiving, from at least one of a mobile device associated with the user and a server, prior telematics data indicative of the operation of a vehicle by the user during one or more prior trips in a prior epoch; receiving, from the mobile device, recent telematics data indicative of the operation of the vehicle by the user during one or more recent trips in a current epoch; generating a prior epoch score based at least in part upon the prior telematics data; generating a partial current epoch score based at least in part upon the recent telematics data; and generating a hybrid current epoch score based at least in part upon the prior epoch score and the partial current epoch score.

Abstract: A system comprising one or more processors and one or more non-transitory computer-readable media storing computing instructions that, when executed on the one or more processors, cause the one or more processors to perform operations: receiving telematics data from a mobile device during one or more vehicle trips including a previous epoch for a driver and a current epoch for the driver; generating a previous epoch score for the driver based on the telematics data of the previous epoch for the driver; generating, using a trained machine learning model, a predicted epoch score for the driver based on the telematics data of the current epoch for the driver; generating a hybrid epoch score for the driver from at least portions of the previous epoch score for the driver and the predicted epoch score for the driver; and transmitting the hybrid epoch score for the driver. Other embodiments are described.

Abstract: A computer-implemented method for providing recommendations includes identifying a set of locations that are of interest to a user and that are within a geographic area. The computer-implemented method also includes identifying one or more businesses based on the set of locations that are of interest to the user, each one of the one or more businesses being within a threshold geographic range of the geographic area. The computer-implemented method further includes transmitting, to an electronic device of the user, indications of the one or more businesses based on the set of locations. Other embodiments are disclosed.

Abstract: Systems and methods of utilizing badging for driver risk assessment are provided. Vehicle telematics data (e.g., speed data, acceleration data, braking data, cornering data, following distance data, turn signal data, seatbelt use data) associated with a vehicle operator may be analyzed. Based on the analysis, a trend of safe operation of the vehicle may be identified (e.g., based on a number of vehicle trips and/or a number of consecutive vehicle trips in which the vehicle telematics data indicates safe operation of the vehicle, a frequency of vehicle trips in which the vehicle telematics data indicates safe operation of the vehicle, a comparison to other drivers, etc.) A digital certificate indicating the trend of safe operation of the vehicle may be associated with the vehicle operator. In response to a third-party query regarding the vehicle operator, the digital certificate associated with the vehicle operator may be displayed to the third party.

Abstract: A computer-implemented method including receiving an image for evaluation, the image includes video and/or still image data; analyzing the image to extract profile features using a pattern recognition or a facial recognition algorithm, an object recognition, and/or an object character recognition, the profile features include first profile features related to a vehicle and second profile features related to an image verification indicator, the second profile features include one or more features related to an identity of a user; generating an image verification score including a first comparison and a second comparison of at least a portion of one or more of the first profile features and at least a portion of one or more of the second profile features, respectively, and the image verification indicator; and updating a vehicle profile when the image verification score satisfies a threshold of similarity based on the comparisons.

Abstract: A ring device for displaying information includes a ring band. The ring device also can include a processor located within the ring band. The processor can be configured to analyze data to identify one or more conditions. The ring device further can include a projector module located at least partially within the ring band. The projector module can be communicatively coupled to the processor. The ring device further can include a user input unit. The user input unit can include one or more sensors located at least partially within the ring band. The one or more sensors can be configured to receive a user input. The user input unit also can be communicatively coupled to the processor. The processor can be configured to cause the projector module to present the information indicative of the one or more conditions, as identified. Other embodiments are disclosed.

Abstract: A charging system can include a magnet. The ring charging system also can include a band. The band can include a housing configured to be worn by a user. The band also can include a power source located in or at the housing. The band further can include a charging circuit including an induction coil located in or at the housing. The charging circuit can be configured to charge the power source by way of electrical energy generated by a change in magnetic flux from the magnet through the induction coil. The housing can be configured to move relative to the magnet when actuated by a user motion such that moving the housing relative to the magnet causes the change in the magnetic flux. Other embodiments are disclosed.

Abstract: Systems and methods of visualizing predicted driving risk are provided herein. Vehicle sensor data associated with a vehicle operator may be analyzed. Based on the analysis of the vehicle sensor data, one or more vehicle operation risks associated with the vehicle operator may be predicted. Each vehicle operation risk may be associated with a portion of a vehicle associated with the vehicle operator. Additionally, each vehicle operation risk may be assigned a priority level, e.g., based on predicted likelihood of occurrence, predicted danger of the vehicle operator, predicted damage to the vehicle, etc. A display overview of the vehicle may be presented to the vehicle operator. In the display overview of the vehicle portions of the vehicle associated with each of the predicted vehicle operation risks may be highlighted. The portions may be highlighted differently (using different colors, heavier/lighter shading, etc.) based on the priority level of their associated risks.

Abstract: A computer-implemented method includes generating one or more virtual occurrences to be encountered by the virtual character. The computer implemented method further includes determining one or more virtual outcomes associated with the one or more virtual occurrences. The computer implemented method further includes generating a virtual trip comprising the one or more virtual occurrences with the one or more virtual outcomes associated with the one or more virtual occurrences. The computer implemented method further includes determining a predicted change in a vehicle condition of a virtual vehicle. The computer implemented method further includes updating the character profile of the virtual character. The computer implemented method further includes transmitting for display, the character profile, as updated, and the vehicle condition, as updated, to an electronic device of a user. Other embodiments are disclosed.

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 an electronic ink (e-ink) 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 and methods for using collecting and analyzing device sensor data to determine whether an individual is an operator or a passenger of a vehicle are disclosed. According to certain aspects, an electronic device associated with the individual may collect or access sensor data that is indicative of or associated with an operation of the vehicle. The electronic device may transmit pertinent portion(s) of the sensor data to a backend server, which may input the portion(s) into a neural network for analysis. The neural network may output a probability metric(s) indicative of whether the individual is a passenger or an operator of the vehicle.

Abstract: Method and system for training a virtual character of a telematics-based game. In some examples, a computer-implemented method includes: initiating a virtual trip including virtual occurrences to be encountered by the virtual character; receiving, in real-time, telematics data associated with the real trip; determining, based on the telematics data, one or more real obstacles encountered by the user during the real trip; determining, based on the telematics data, one or more performances indicative of how proficient the user operated the real vehicle upon encountering the one or more real obstacles; determining, based on the one or more performances, one or more skill points associated with a plurality of real skills; training the virtual character by at least updating, based on the plurality of skill points, the plurality of virtual ratings; updating, based on the updated plurality of virtual ratings, the one or more outcomes.

Abstract: A distracted driving analysis system for identifying distracted driving events is provided. The system includes a processor in communication with a memory device, and the processor is programmed to: (i) receive labeled training data, the labeled training data including driving event records (a) each labeled as an actual distracted driving event or a passenger event and (b) including phone usage by a user that occurred within a time period of a driving event, (ii) identify common features of the actual distracted driving events and the passenger events by processing the training data using a supervised machine learning algorithm, (iii) generate a trained model based at least in part upon the identified common features, (iv) process a new driving event, (v) assign the new driving event based at least in part upon features of the new driving event, and/or (vi) determine whether the new driving event is an actual distracted driving event or a passenger event.

Abstract: Systems and methods of automatically controlling a user's data footprint are provided. Data associated with a user may be analyzed to determine an action the user is preparing to take. Based on the analysis, a potential risk associated with the action the user is preparing to take may be identified. The potential risk associated with the action the user is preparing to take may be, for example, a data security risk, a data privacy risk, a physical risk, a risk of damage to property, and/or a financial risk. A notification indicating the potential risk associated with the action the user is preparing to take may be provided to the user. The notification may include one or more suggestions for mitigating the potential risk associated with the action the user is preparing to take.