United Services Automobile Association (Usaa)

Theresa Marie Matowitz

Ashley Raine Philbrick

Yevgeniy Viatcheslavovich Khmelev

Oscar Guerra

Kelly Q Baker

Ramsey Devereaux

Carlos J P Chavez

Carlos Jp Chavez

Michael Kyne

Michael L Hertz

Steven Robert Seigler

Amber K Buehrle

Bharat Prasad

Ravi Durairaj

Mark Paxman Warnick

Huihui Wu

Mitzi Ruiz

Arthur Quentin Smith

Nolan Serrao

Courtney St Martin

David Joaquin Harris

Justin R Nash

John Andrew Weems

Keegan Patrick Hayes

Salvador Adrian Bretado

Carol Lyn Lawrence

Amber K Buehrie

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

Systems and methods of the present disclosure include a system that includes a maneuverable building detection device configured to engage and maneuver along a wall of a building comprised of a plurality of building components. The maneuverable building detection device includes at least one building component detection sensor device. Each building component detection sensor device is configured to detect data relating to at least one building component of the plurality of building components. In certain embodiments, the system also includes a building component property determination system configured to automatically determine one or more properties of the at least one building component based at least in part on the data detected by the at least one building component detection sensor device. In addition, in certain embodiments, the system further includes a building insurance determination system configured to automatically determine insurance rates and/or insurance coverage for the building based at least in part on the one or more properties of the at least one building component determined by the building component property determination system.

Building inspection systems and methods utilizing maneuverable building detection devices

A health data management method using non-fungible tokens may include receiving, via one processor, digital health data and encrypting or obscuring personal identifying information of the digital health data. The method may then involve using the digital health data with encrypted or obscured personal identifying information to generate a non-fungible token and providing the non-fungible tokens in a marketplace. The method may also involve accepting an offer from a purchaser for the non-fungible token via the marketplace and providing unobscured digital health data or an encryption key to the purchaser of the non-fungible token.

Non-fungible token transaction management systems and methods for digital health data

A non-fungible management system may generate non-fungible tokens based on credential data of a user. In one example, a non-fungible token can be generated responsive to receiving credential data for the user, whereby the credential data is received from a verified credentialing organization. Non-fungible tokens based on credential data can be held in a digital wallet of the user, used as a resume or record of achievement, and/or traded in a marketplace.

Non-fungible token transaction management systems and methods for user verification or credentialing

Systems and methods of the present disclosure include receiving an aerial image that includes a view of property (e.g., real property, personal property, or other types of property), automatically identifying the property included in the aerial image, automatically determining one or more characteristics of the property based at least in part on the aerial image, and automatically adjusting an insurance policy term for an insurance policy relating to the property based at least in part on the one or more characteristics of the property. Certain embodiments include automatically determining the one or more characteristics of the property also based at least in part on data received from one or more smart home devices associated with the property, one or more public records relating to the property, a supplemental image accessed from a camera located in or around the property, and so forth.

Real property monitoring systems and methods

A method may include receiving, via a processor, a request for payment of a payment amount from a first computing system. The method may also involve receiving a location of the first computing system, identifying one or more automatic teller machines (ATMs) based on the location of the first computing system, generating an image configured to cause the one or more ATMs to dispense funds that correspond to the payment amount, and sending the image to the first computing system.

System for incentivizing transition from physical card to mobile pay

Systems and methods described herein track bartering using distributed ledger techniques to, for example, facilitate the establishment of a bartering marketplace that enables users to barter for, and ultimately exchange, services and/or goods with each other. In certain embodiments, a monetary value may be assigned to each service and/or good to be bartered to establish appropriate bartering baselines. In addition, in certain embodiments, additional monetary value exchanges may be tracked for particular exchanges to make sure that the exchanges are fair.

Systems and methods for bartering services and goods using distributed ledger techniques

The present disclosure relates to analyzing data related to smart home activity that is useful to risk analysis, service cost determination/adjustment, and behavioral incentivization. A monitoring system may acquire maintenance information, contextual information, and/or financial information with minimal user input to assess risk associated with user behavior and home activity associated with a smart home. Based on generating a risk factor associated with the smart home, the monitoring system may provide a user with an accurate service cost (e.g., home insurance quote) related to the smart home activity.

Low friction data analysis system

An electronic device is disclosed that enables payment option selection by receiving a location of the electronic device from a location sensor and determines a retailer associated with the location. The electronic device stores a mobile wallet that in turn stores multiple payment options. The electronic device then determines discounts, rewards, or both, for the payment options, and compares the discounts, rewards, or both for the payment options to determine a recommended payment option. The electronic device enables selection of the recommended payment option to perform a transaction with the retailer, and performs the transaction using the recommended payment option in response to the selection of the recommended payment option.

Systems and methods for payment method selection

Growing community of inventors

San Antonio, TX, United States of America

Theresa Marie Matowitz