United Services Automobile Association (Usaa)

Courtney St Martin

Ashley Raine Philbrick

Nathan Lee Post

Ryan Thomas Russell

Bryan J Osterkamp

William Preston Culbertson, Ii

Ruthie D Lyle

Eric David Schroeder

Snehal Desai

Gabriel Carlos Fernandez

Rachel Elizabeth Csabi

Deborah Janette Schulz

Carlos J P Chavez

Ramsey Devereaux

Brian Tougas

Michael Kyne

Elizabeth J Rubin

Galo M Alava

Amanda Michelle Boyd

Gregory Mark Lamontagne

Carlos Jp Chavez

Gregory Brian Meyer

Gregory David Hansen

Janelle Denice Dziuk

Oscar Roberto Tijerina

Zachery C Lake

Andrea Richardson

Valmore M Smith

Sydney Ann Conrad-Cook

Jennifer Dawn Ayala

Arthur Quentin Smith

Nolan Serrao

David Joaquin Harris

Justin R Nash

Theresa Marie Matowitz

John Andrew Weems

Keegan Patrick Hayes

Salvador Adrian Bretado

Carol Lyn Lawrence

Aspects of the present disclosure are directed to generating voice signatures using validated input from an authenticated user. The voice signature can represent a user's endorsement in relation to one or more electronic document(s). For example, the user can view the electronic document(s) at a client device and provide audio input in relation to the one or more document(s). Implementations of a signature manager can receive the user's audio input, authenticate the user identity, validate the input against one or more validation rules, and generate a voice signature in relation to the electronic document(s). The generated voice signature can then be stored in combination with the electronic document(s), for example in a manner that satisfies an authenticity audit of the electronic document(s).

Authenticated user voice signatures using validated input

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

An embedded data transmission system includes a biometric sensor and a controller comprising a processor and memory configured to receive biometric data input via the biometric sensor. The controller is also configured to identify personal audio data corresponding to the biometric data input based on a database including one or more associations of biometric data and audio data, and, in response to identifying the personal audio corresponding to the biometric data input, submit the personal audio data.

Biometric-based transmission of embedded data

An audio modification system includes one or more processors configured to receive audio data indicative of communication of a user while the user is positioned in a first portion of a control area, determine that the communication of the user is confidential based on the audio data, determine generated audio data configured to render the communication of the user at least partially inaudible in a second portion of the control area, and output a control signal indicative of instructions to provide the generated audio data.

Confidential audio protection system

A method may include retrieving, via a processor of a computing system, insurance information associated with a user and receiving one or more alerts regarding an event that will occur within a determined radius of one or more properties within a period of time. The computing system may then determine a list of actions for the user to perform on the property based on the event and send the list of actions to a computing device associated with the user. Based on whether the user completes the list of actions, a premium rate of the user may be adjusted.

Systems and methods for using home telematics for maintenance behavior check

A system and method for detecting deviations in building structures over time is disclosed. The system and method use range images of buildings captured using range imaging cameras (for example, time-of-flight cameras) to construct 3D models with sufficient resolution to detect deviations in structures that may not be obvious from looking at only photographic images. The system can also use augmented reality to project parts of a 3D model over photographic images of a structure to facilitate easy inspection of the structure.

System and method for detecting deviations in building structures using reconstructed 3D models

Smart gear, which includes electrically conductive fabric, is provided to monitor health parameters, conduct transactions, and generate power. For example, the smart gear may include one or more sensors coupled to the fabric and/or electrically conductive fibers woven into the fabric. The one or more sensors may monitor health parameters such as breathing patterns, sleep patterns, heart murmurs, and so forth. The smart gear may include one or more wireless regions that power electronic devices based on inductive charging.

Smart gear

Aspects of the present disclosure are directed to prediction models that match stored parameters to a new data analytics task. A data analytics task can refer to a task that analyzes and queries data sources to retrieve target data. Example parameters for a data analytics task include a task description, assigned individuals, relevant databases, relevant data tables, search queries, data table joins, etc. Implementations can store historical data analytics tasks and their task parameters. Prediction model(s) can be provided new data analytics task parameters and predict matching historical data analytics tasks for the new task. The matching data analytics tasks can then be analyzed to select data tables common among them, and the common data tables can be provided to a user. Implementations can also group additional parameters according to a selected common data table and provide the grouped additional parameters to the user.

Matching data analytics parameters using prediction models

A system for controlling power in a facility having an electrical system including an energy storage device and a generator and an associated fuel tank. The fuel tank provides fuel to the generator and has a gauge indicating remaining fuel. Both the energy storage device and the generator operate. The generator may be used to provide power to the facility, the energy storage device, or both simultaneously. A first power consuming device imposes a first load connected to the electrical system and second power consuming device imposes a second load connected to the electrical system. The system receives information related to the loads and calculates an initial estimated run time of the energy storage device, and information related to the first load and information related to the second load. The system selectively removes the second load in a simulation and calculates a second run time of the energy storage device.

System for controlling power in a facility

A system includes a computing device comprising a memory storing instructions configured to cause a processor to receive: purchase data associated with products purchased by a user, online activity data performed by the user and other users and associated with information pertaining to the products, and vendor information comprising retail sales data, after-market sales data, and product availability associated with the products. The processor determines one or more values of the products based on the purchase data, the online activity data, and the vendor information and whether the purchased products correspond to specialty products based on the purchase data, the online activity data, and the values of the products. The processor may then send a notification to the user comprising an offer for insurance for the products in response to determining the products correspond to specialty products.

System and methods for detecting and insuring specialty products

Systems and methods for digital integration of financial features between a user and a service provider is provided. For example, if a user device is registered with the service provider, the user device may receive an electronic notification (e.g., calendar entry) related to outstanding account operations. The user device may be able to complete the outstanding account operations by accessing the electronic notification and embedded financial information.

System and method for digital integration of financial features

A system and a method for diagnosing a problem with a motor vehicle using sound. Ambient noise information for the motor vehicle is determined. Current sound information is received, and whether there is a variation in sound between the current sound information and the ambient noise information is determined. The ambient noise information is subtracted from the current sound information if the variation has been identified, to identify a sound anomaly. A sound anomaly signal is extracted and compared with predetermined anomaly signal information stored in a database. The predetermined anomaly signal information is associated with diagnostic information.

Automatic problem detection from sounds

A climate control system may include an electronic equipment room including one or more interior partitions dividing the chamber into two or more subchambers. The system may further include a cooling system configured to provide the subchambers with different levels of cooling, wherein at least one partition is movable from a first position defining a first subchamber to a second position defining a second subchamber in a different area of the room than the first subchamber. The system may also include a controller including instructions for controlling operation of the movable partition based on cooling requirements of the electronic equipment in the room; a first heating, ventilation, and air conditioning (HVAC) unit and a second HVAC unit, each configured to provide cooling to a different subchamber of the electronic equipment room; and a third HVAC unit configured to provide backup for the first HVAC unit and/or the second HVAC unit.

Climate control system

A data processing system may include a plurality of host servers, each server including a device processor and a non-transitory computer readable medium including instructions stored thereon and executable by the processor, wherein the computer readable medium of each server includes instructions for running one or more virtual machines. In addition, the system may include a system controller including a device processor and a non-transitory computer readable medium including instructions stored thereon and executable by the processor, the computer readable medium of the system controller including instructions for receiving commands to host two or more virtual machines on the plurality of host servers; making a determination as to which of the virtual machines share commonalities with one another; and based on the determination, providing instructions to the plurality of host servers to host virtual machines determined to share one or more commonalities with one another on the same host server.

Growing community of inventors

Roswell, GA, United States of America

Courtney St Martin