Abstract: A smart ring includes a body. The body includes a first part including at least a part of a sensor unit. The body also can include a second part including at least a part of an output unit and removably connected to the first part of the body. The body can further include a first pair of removable portions. The first pair of removable portions can include a first removable portion connected to the first part of the body. The first pair of removable portions also can include a second removable portion connected to the second part of the body. The first removable portion can be removable from the body. The second removable portion can be removable from the body. Other embodiments are disclosed.

Abstract: Systems and methods are provided for providing recommendations of safe driving routes that are tailored to the driving habits of particular drivers. A machine learning model (e.g., an artificial neural network) may be trained using data indicative of insurance claim severity, road conditions, and/or vehicle telematics data associated with vehicle-related incidents, such as vehicle collisions. The machine learning model may be trained to identify road types and conditions that are predictive of claim frequency and severity. Any given driving route(s) may be provided to the trained machine learning model, and a risk value may be computed for the route(s). By further applying a personalized driver profile to the calculations of risk, personalized risk values may be computed for the route(s), and a safest route may be recommended to a driver.

Abstract: Method and system for generating virtual maps. For example, the method includes determining first real-world driving characteristics based upon first real-world telematics data of a first real-world user, determining first real-world geolocation characteristics based upon first real-world geolocation data of the first real-world user, generating a first virtual map based upon the first real-world driving characteristics and the first real-world geolocation characteristics, presenting the first virtual map in a virtual game, determining second real-world driving characteristics based upon second real-world telematics data of a second real-world user, determining second real-world geolocation characteristics based upon second real-world geolocation data of the second real-world user, generating a second virtual map based upon the second real-world driving characteristics and the second real-world geolocation characteristics, and presenting the second virtual map in the virtual game.

Abstract: A system for displaying information via a smart ring device can include a smart ring device. The smart ring device also can include a processor disposed within a ring band. The processor can be configured to collect data to identify one or more conditions. The one or more conditions can include one or more of a biometric of a user of the smart ring device, a state of the user of the smart ring device, or a condition of an environment of the user of the smart ring device. The smart ring device further can include a display at a surface of the ring band. The processor can be configured to cause the display to present the information indicative of the one or more conditions. The processor also can be configured to determine whether a termination condition has been met for the one or more conditions.

Abstract: A computer system for providing reimbursement controls to insurance policies is provided. The computer system may include a processor in communication with a memory device.

Abstract: Method and system for selecting a vehicle route. For example, the method includes collecting information for a future vehicle trip that will be made by a user, generating multiple routes for the same future vehicle trip, predicting an amount of fuel consumption for each of the multiple routes based at least in part upon information for the route and user driving features of the user, and selecting a route from the multiple routes based at least in part upon the amounts of fuel consumption predicted for the user, where the selected route corresponds to a least amount among the amounts of fuel consumption predicted for the user.

Abstract: A ring includes a housing. The housing can include an inner surface configured to contact a finger of a user when the housing is worn by the user. The housing also can include a first power source configured to be wirelessly charged by a second power source that is removably coupled to the housing. The housing further can include a component configure to draw energy from the first power source. The component can perform one or more of: sensing an activity of the user wearing the housing or sending data to a communication device. Other embodiments are disclosed.

Abstract: A system serializing and deserializing models configured to (i) store a first model, wherein the first model includes a plurality of functionalities; (ii) generate a human-readable document based on the first model, wherein the human-readable document describes the first model; (iii) generate a second model based on the human-readable document, wherein the second model includes the plurality of functionalities; and (iv) perform at least one execution of the second model.

Abstract: A system including 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: analyzing telematics data and device interaction data to determine vehicle driving instances in which a user interacts with a mobile device during a vehicle trip for a vehicle; and the device interaction data is generated when the user interacts with the mobile device during the vehicle trip for the vehicle; receiving positioning data associated with one or more positions of the mobile device within the vehicle during the vehicle trip for the vehicle; and identifying whether the user interacting with the mobile device is a driver of the vehicle based at least in part upon the positioning data and the vehicle driving instances. Other embodiments are disclosed.

Abstract: A ring includes a controller. The ring can also include a power source configured to power the controller. The ring further can include a charging unit. The charging unit can be configured to convert a first form of energy into a second form of energy. The charging unit also can be coupled to the power source to provide the second form of energy to the power source. The controller can execute instructions to control operation of a user interface. Other embodiments are disclosed.

Abstract: Telematics systems and methods are described for generating interactive animated guided user interfaces (GUIs). A telematics cloud platform is configured to receive vehicular telematics data from a telematics device onboard a vehicle. A GUI value compression component determines, based on the vehicular telematics data, a plurality of GUI position values and a plurality of corresponding GUI time values. A geospatial animation app receives the plurality of GUI position values and the plurality of corresponding GUI time values. The geospatial animation app implements an interactive animated GUI that renders a plurality of geospatial graphics or graphical routes on a geographic area map via a display device. The geospatial graphics or graphical routes are rendered to have different visual forms based on differences between respective GUI position values and corresponding GUI time values.

Abstract: Method, system, device, and non-transitory computer-readable medium for data management. In some examples, a computer-implemented method includes: collecting a plurality of personal data sets continually; collecting a plurality of sensor data sets continually via one or more sensing modules, and generating and continually updating an operator profile, determining and continually updating one or more telematics interferences; generating and continually updating a data profile; and receiving one or more access policies associated with the data profile; and listing and continually updating the data profile onto a telematics marketplace according to the one or more access policies such that only marketplace consumers having one or more consumer classifications satisfying the one or more access polices can access the data profile.

Abstract: A computer-implemented method for providing feedback to drivers of vehicles is disclosed. The method comprises receiving an image corresponding to a vehicle indicating driving behavior data associated with a user. The driving behavior data are indicative of wear and tear on the vehicle or fuel efficiency for the vehicle and the driving behavior data indicative of an impact associated with the user on longevity of the vehicle. Based at least in part upon analyzing the image and determining a driving performance metric associated with the user feedback associated with the user is generated and provided to a mobile device associated with the user for presentation at the mobile device.

Abstract: A method can include generating, based at least in part on telematics data of a user, a first travel pattern for a first day of a week including one or more first locations. The method can also include comparing the first travel pattern and one or more transportation routes. The method can further include receiving a selection from the user of a transportation schedule from one or more transportation schedules that are based in part on the first travel pattern. The method can additionally include determining an actual travel route associated with the user to determine a percentage of time the user follows the transportation schedule. The method can also include, when the percentage of the time is below a predetermined threshold: transmitting for display, a prompt to an electronic device of the user to provide a reason for why the user is not following the transportation schedule, and updating the transportation schedule associated with the user based in part on the reason provided by the user.

Abstract: A system comprising one or more processors and one or more non-transitory computer-readable media storing computing instructions that cause the one or more processors to perform operations: receiving first real-world geolocation data, generating one or more first virtual encounters based at least in part upon the first real-world telematics data and the first real-world geolocation data; generating one or more second virtual encounters based at least in part upon the first real-world environmental data and the first real-world geolocation data; providing a first virtual map; providing a first virtual character associated with the first real-world user; and simulating the first virtual map and the first virtual character in a virtual game, simulating at least one of (i) the one or more first virtual encounters or (ii) the one or more second virtual encounters for the first virtual map and for the first virtual character. Other embodiments are described.

Abstract: A computer-implemented method includes obtaining a first set of trip data associated with a first set of vehicular trips operated by a vehicle operator during a first time period. The first set of trip data includes a first set of telematics data and a first set of travel conditions. The method also includes determining a second set of travel conditions associated with a target vehicular trip. The method further includes predicting a second set of telematics data associated with the target vehicular trip. The method further includes determining a set of vehicle operation behaviors based at least in part on the second set of telematics data, as predicted. Other embodiments are disclosed.

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: 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 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: 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.