Abstract: A system for a telematics data marketplace for a plurality of users including one or more processors. The one or more processors can be configured to perform certain operations. The operations can include receiving a request from a provider. The request can include a data specification. The operations also can include searching user data associated with the plurality of users based on the data specification to generate a search result. The user data can be associated with the plurality of users including telematics data. The operations additionally can include identifying one or more users of the plurality of users based at least in part upon the search result. The operations further can include transmitting a prompt to the one or more users. The prompt can indicate that the provider requests access to user data associated with the one or more users. The operations additionally can include receiving a response to the prompt from the one or more users. Other embodiments are described.

Abstract: A computer-implemented method to determine a device of a driver including: receiving, by a computing device and from a first user device, first telematics data; receiving, by the computing device and from a second user device, second telematics data; determining, using a trained machine learning model, patterns in the first and second telematics data; determining, using the patterns in the first and second telematics data, relative positions of the first user device and the second user device; determining a predicted position of the first user device relative to the second user device; and identifying that the first user device or the second user device is associated with the driver of a vehicle based at least in part upon the predicted position of the first user device relative to the second user device. Other embodiments are described.

Abstract: A system for displaying information via a smart ring can include a ring band. The system for displaying information via a smart ring also can include at least one processor disposed within the ring band. The at least one processor disposed within the ring can be configured to identify a user of the smart ring. The at least one processor disposed within the ring further can be configured to analyze the data to identify a condition. The system for displaying information via a smart ring further can include a display disposed at least partially in, at least partially on, or coupled to the ring band and communicatively coupled to the processor. Furthermore, the at least one processor disposed within the ring can be configured to cause the display to present information indicative of the condition. Other embodiments are disclosed.

Abstract: A computer implemented including: collecting, via one or more sensors, a first set of operator data associated with a first group of vehicle operators during a first time period; determining, for each vehicle operator of the first group of vehicle operators and using one or more trained machine learning models based at least in part upon the first set of operator data, a first set of telematics inferences, the one or more trained machine learning models being trained using training data sets comprising sensor data associated with a second group of vehicle operators to predict telematics inferences; collecting, via the one or more sensors, a second set of operator data associated with the first group of vehicle operators during a second time period; determining, for each vehicle operator of the first group of vehicle operators and based on the second set of operator data, a second set of telematics inferences; determining, for each vehicle operator of the first group of vehicle operators, one or more match eva

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: A smart ring charging system comprises one or more permanent magnets and a smart ring. The smart ring includes a ring-shaped housing, a power source disposed within the ring- shaped housing, and a charging circuit. The charging circuit includes an induction coil, and is configured to charge the power source when user motion changes magnetic flux from the one or more permanent magnets through the induction coil. The smart ring further includes a component, disposed within the ring-shaped housing and configured to draw energy from the power source, and further configured to perform one or more of the following operations: i) sense a physical phenomenon external to the ring-shaped housing, ii) send communication signals to a communication device external to the ring-shaped housing, and iii) implement a user interface.

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 machine learning model is manufactured by a process including retrieving training data, minimizing a loss function, wherein the training data may include labeled or unlabeled data, the machine learning model generating a prediction. A machine learning training/operation server includes a processor and a memory storing instructions that, when executed by the processor, cause the server to retrieve training data, input a training input, analyze the training input to generate a prediction, generate a loss score, and store the trained machine learning model. A method for training a machine learning model includes receiving training data, inputting a training input, analyzing the training input, generating a loss score, and storing the trained machine learning model.

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.