United Services Automobile Association (usaa)

Keegan Patrick Hayes

Gregory David Hansen

Mark Anthony Lopez

Steven Michael Bernstein

Jennifer Marie Chandler-Bradley

Will Kerns Maney

William Preston Culbertson

Noe Alberto Martinez

William Preston Culbertson, Ii

Will Kerns Maney, Jr

Mathew Cyriac Kottoor

Jennifer Dawn Ayala

Carol Lyn Lawrence

Joseph H Louwagie, Iii

Emily Nicole Van Santen

Thomas Mercer Harper

Gregory Brian Meyer

Yevgeniy Viatcheslavovich Khmelev

Arthur Quentin Smith

Nolan Serrao

Courtney St Martin

David Joaquin Harris

Elena Marie Carrasco

Justin R Nash

Theresa Marie Matowitz

John Andrew Weems

Nikhil Dama

Ivan Ortiz

Neetu Jain

Gabrielle Diane Salazar

Salvador Adrian Bretado

Christopher Edward Flores

Yibin Xu

A health management system includes one or more processors configured to receive sensor data from one or more sensors disposed at a residence of a user. The sensor data is indicative of one or more conditions at the residence. The one or more processors are configured to determine a health of the user based on the one or more conditions, determine one or more actions configured to improve the health of the user based on the one or more conditions, and provide, via a device of the user, a notification indicative of the one or more actions.

Health management based on conditions at a user's residence

A risk analysis system is configured to collect and monitor sensor data associated with a user to generate an insurance policy or recommend products/services that may be better suited for the user based on the user's gameplay data, fitness data, streaming data, outdoor activity data, location data, etc. The risk analysis system is configured to correlate all the sensor data and control operations of devices to discourage behavior that may increase risk of an accident or other suitable insurance liabilities.

Tracking risk behavior profile and controlling devices based on gameplay data

Aspects of the present disclosure are directed to a cognition analysis and response system that can A) identify and classify machine learning training data and use the training data to build a cognitive impairment machine learning model; B) identify cognitive impairments by applying the cognitive impairment machine learning model and performing a false positive/false negative analysis; and C) apply various automated adaptive measures for users with identified cognitive impairment. The cognition analysis and response system can generate training data by using an unsupervised training process and verifying results with validations of training items that have been pre-classified. The cognition analysis and response system can then iterate through each set of inputs paired with cognitive impairment classification, applying a machine learning model and updating the model based on a comparison of the model output to the cognitive impairment classification.

Automatic identification of, and responding to, cognition impairment

Methods and systems described herein are directed to obtaining various types of information that can provide an accounting for an individual's legacy that can be replayed to learn about objects and/or experiences associated with the individual. A personal legacy accountant can generate a legacy profile using automatically obtained public records and personal records supplied by the individual, and afford the individual an opportunity to contextualize records for the profile. Through this contextualization, the individual can selectively define one or more perspectives for her legacy.

Personal legacy accounting and remembrance

A user identification system includes one or more processors configured to receive a first indication of a vehicle identity of a vehicle at an entrance of a location and retrieve a user profile associated with the vehicle identity from a user profile database. The user profile includes one or more user identities of one or more users authorized to enter the location. The one or more processors are configured to receive a second indication of a current user identity of a current user positioned in the vehicle, determine that the current user identity corresponds to a particular user identity of the one or more user identities, and output a control signal indicative of instructions to enable access to the location in response to the current user identity corresponding to the particular user identity.

User identification system for occupants of a vehicle

A non-fungible token (NFT) representing title to property may be received. A search of the title to the property may be conducted. A title confidence may be determined based on the search of the title to the property. A premium may be determined based on the title confidence. The premium may be redetermined based on changes to the title confidence.

Systems and methods for titles and title insurance for non-fungible tokens

A system and method for using gaming as a tool to determine optimum routes through areas that have experienced a disaster are provided. Due to the disaster, an area may have some destroyed roads and other infrastructure. In one embodiment, input data collected from people on the ground, drones, and other aerial vehicles can be used to generate a virtual simulation of the area. The virtual area may include renderings of destroyed roads and infrastructure. Once created, the virtual area may be uploaded to an online gaming environment where users can participate in online games that permit them to find the best routes through the virtual area between starting and destination points. Once optimal routes are found, the system may send these routes to navigation systems used by rescuers and other people in the area to help them navigate the disaster area.

Gaming to improve route guidance

A sensitive area activity monitoring system is provided. A non-intrusive sensor that does not provide image, video, or audio data is used to capture data in a sensitive area that is associated with an activity. The sensor data is logged and provided to a downstream service tasked with personalizing the service based upon the logged data.

Systems and methods for detecting physical presence while providing privacy

A system comprising a plurality of sensor devices configured to acquire data related to a property and a processor configured to receive the data from the plurality of sensor devices and identify one or more hazardous conditions for the property based on the data. The processor is further configured to determine an amount of risk associated with the one or more hazardous conditions and initiate verification operations to confirm the one or more hazardous conditions in response to determining that the amount of risk associated with the one or more hazardous conditions exceeds a first threshold value. The processor may also send a notification to a computing device associated with the property in response to determining that the amount of risk associated with the one or more hazardous conditions exceeds a second threshold value, wherein the notification is displayed on a display of the computing device, and wherein the notification comprises one or more recommendations to address the one or more hazardous conditions.

System and methods for detecting hazardous conditions

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Whitestown, IN, United States of America

Keegan Patrick Hayes