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 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: 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: 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 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 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: 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 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: 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: 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 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: 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.

Abstract: A device for facilitating event processing is presented. The device includes a transceiver, one or more memories including an event processing model, and one or more processors. The processors retrieve a new event from an application programming interface (API). The processors then parse the new event to determine a parsed event and store the parsed event in the memories. After determining the presence or absence of an additional new event via the API, the processors transmit a notification for display to a user indicating the parsed event and prompting a user to process the parsed event, resulting in either a successful or a failure processing signal. Responsive to receiving a failure processing signal, the processors schedule a subsequent notification for transmission to the user device according to an event processing model by using an exponential back-off and a random jitter.

Abstract: A ring can include a housing. The housing can include a first power source configured to be charged by a second power source removably positioned adjacent to the housing. The housing also can include a component. The component can be configured to draw energy from the first power source. The component also can sense a physical phenomenon external to the housing. The component further can send communication signals to a communication device. Other embodiments are disclosed.

Abstract: A computer system for creating driving tournaments for users including a processor in communication with a memory device is provided. The processor may be programmed to: i) receive user data associated with a plurality of users, ii) generate, based at least in part upon the received user data, a driving profile including driving characteristics of each user, iii) match users based at least in part upon the driving profiles of the users, wherein a match occurs when driving characteristics of the driving profiles are substantially similar, iv) create a driving tournament for the matched one or more users, v) receive current vehicle telematics data and current mobile device data associated with the matched one or more users, and vi) determine, after the predetermined time period has ended, a winner of the driving tournament.

Abstract: Systems and methods of incentivizing the use of a safety device while operating a vehicle are provided. Data captured by sensors associated with a safety device may be analyzed to identify instances in which the safety device is used by an operator of a vehicle. Additionally, data captured by sensors associated with the vehicle may be analyzed to identify instances in which the vehicle is in motion. By comparing the instances in which the safety device is used by the operator of the vehicle to the instances in which the vehicle is in motion, instances in which the operator of the vehicle uses the safety device while operating the vehicle may be determined. Furthermore, a trend of the operator of the vehicle using the safety device while operating the vehicle may be identified. A notification related to the identified trend may be provided to the operator of the vehicle.