Patents by Inventor Scott Seely

Scott Seely has filed for patents to protect the following inventions. This listing includes patent applications that are pending as well as patents that have already been granted by the United States Patent and Trademark Office (USPTO).

  • COMPUTER NETWORKED FILING ENGINE
    Publication number: 20230401635
    Abstract: A disclosed method may include receiving user information for electronically filing or updating an electronic data sheet that corresponds to a user and a domain; maintaining a record of past electronic activities by the user; electronically receiving interchange data associated with interchanges executed by the user; automatically generating the electronic data sheet for the user based on the user information and the interchange data, the electronic data sheet indicating a finalized amount of resources to be transmitted to the domain; and electronically adjusting an electronic value for the user according to a remittance risk determination that is based on the interchange data and the record of past electronic activities by the user, the adjusted electronic value indicating a maximum amount of resources for which an online software platform will transmit and receive protocols to enable providing by the online software platform the maximum amount of resources.
    Type: Application
    Filed: June 7, 2023
    Publication date: December 14, 2023
    Inventors: Albert Kumar Boulus, Anup David Parekh, Scott Seely
  • AUTOMATED PREPARATION AND TRANSMISSION OF ELECTRONIC REGISTRATIONS, DATA SHEETS AND RESOURCES
    Publication number: 20230401108
    Abstract: Systems and methods are disclosed for automated preparation and transmission of electronic registrations, data sheets and resources. This may include electronically initiating a process to collect data via a graphical user interface (GUI) to facilitate automated preparation of an electronic registration, including electronically obtaining a pre-existing entity identifier. The system may use the entity identifier to perform automated actions to electronically collect one or more support content. The system may generate the electronic registration based on the one or more support content and also receives interchange data. The system then automatically generates an electronic data sheet based on the registration and interchange data. The system may then electronically file the generated electronic data sheet, electronically issuing an alert to electronically request additional resources and automatically transmitting the finalized amount of resources to the domain.
    Type: Application
    Filed: June 7, 2023
    Publication date: December 14, 2023
    Inventors: John Tindell, Tobin Mathew, Will Colborn, Albert Kumar Boulus, Anup David Parekh, Masa Karahashi, Emmanuel Thangaraj, Narasimha Paila, Alex Huang, Anh Carter, Swapnil Singh, Patricia Oakley, Matt Buckley, Graham Edwards, Scott Seely, Matt Johnson
  • AUTOMATED PREPARATION AND SUBMISSION OF ELECTRONIC REGISTRATION
    Publication number: 20230401378
    Abstract: A system for automated preparation and submission of electronic registration may obtain a pre-existing entity identifier that had been previously used by an electronic system of at least one authority entity to identify a primary entity. The system may electronically associate the pre-existing entity identifier with the primary entity and use it to perform automated actions to electronically collect one or more support content from the Internet or other sources regarding the primary entity. The system may electronically identify data from the support content relevant to the electronic registration and electronically extract the identified data from the support content. The system may also electronically verify the extracted data before electronically generating and submitting the electronic registration based on the extracted data. An adaptive UI may be automatically modified in response to a determination whether to electronically present a query via the adaptive UI for the supplemental data.
    Type: Application
    Filed: June 7, 2023
    Publication date: December 14, 2023
    Inventors: Albert Kumar Boulus, Masa Karahashi, Emmanuel Thangaraj, Anup David Parekh, Will Colborn, Scott Seely, Matt Johnson, Anh Carter, Patricia Oakley, Matt Buckley, Graham Edwards
  • ONLINE SOFTWARE PLATFORM (OSP) DERIVING RESOURCES, PRODUCING REPORT DOCUMENT ABOUT THEM, AND CREATING GALLERY WITH DATA SUBSTANTIATING THE REPORT DOCUMENT FOR VIEWING BY THIRD PARTY
    Publication number: 20220398285
    Abstract: In embodiments, an Online Software Platform (OSP) is configured to receive datasets having dataset values that represent relationship instance data of relationship instances between a client primary entity and other secondary entities, select digital rules responsive to these dataset values, produce resources for the datasets by applying the selected digital rules to the dataset values, derive a total value of the produced resources, generate a report document that mentions at least derived the total value, and prepare an instantiation that enables viewing a data record that substantiates the derived total value. The OSP may further make this instantiation available for viewing to a domain entity that has access to the report document and wants to confirm the derived total value. For instance, the OSP may provide an access instruction for viewing the instantiation, or even augment the report document itself with such an access instruction.
    Type: Application
    Filed: June 14, 2022
    Publication date: December 15, 2022
    Inventors: Bilkay Rose, Mark Janzen, Naveen Kumar Agrawal, Denis Gulsen, Gregory T. Kavounas, Heidi Genest, Erik van der Hoeven, Tracy Barney, Yvonne Seidl, Scott Seely, Thomas Goldschmidt
  • Systems, methods, and interfaces for performing inputs based on neuromuscular control
    Patent number: 11493993
    Abstract: The disclosed computer-implemented method may include presenting, via a user interface, a sensory cue, and receiving, from neuromuscular sensors of a wearable device, various neuromuscular signals generated by a user wearing the wearable device, where the user generates the neuromuscular signals in response to the sensory cue being presented to the user via the user interface. The method may also include interpreting the received neuromuscular signals as input commands with respect to the sensory cue provided by the user interface, such that the input commands initiate performance of specified tasks within the user interface. The method may also include performing the specified tasks within the user interface according to the interpreted input commands. Various other methods, systems, and computer-readable media are also disclosed.
    Type: Grant
    Filed: September 2, 2020
    Date of Patent: November 8, 2022
    Assignee: Meta Platforms Technologies, LLC
    Inventors: Ran Rubin, Jason Lowell Reisman, Robert Phillips Cochran, Naor Brown, Nitzan Bartov, Joshua Duyan, Daniel Wetmore, Alexandre Barachant, Adam Berenzweig, Jeffrey Scott Seely, Christopher Anderson
  • Systems and methods for improved speech recognition using neuromuscular information
    Patent number: 11216069
    Abstract: Systems and methods for using neuromuscular information to improve speech recognition. The system includes a plurality of neuromuscular sensors arranged on one or more wearable devices and configured to continuously record a plurality of neuromuscular signals from a user, at least one storage device configured to store one or more trained statistical models for determining text based on audio input and the plurality of neuromuscular signals, at least one input interface configured to receive the audio input, and at least one computer processor programmed to obtain the audio input and the plurality of neuromuscular signals, provide as input to the one or more trained statistical models, the audio input and the plurality of neuromuscular signals or signals derived from the plurality of neuromuscular signals, and determine based, at least in part, on an output of the one or more trained statistical models, the text.
    Type: Grant
    Filed: May 8, 2018
    Date of Patent: January 4, 2022
    Assignee: Facebook Technologies, LLC
    Inventors: Adam Berenzweig, Patrick Kaifosh, Alan Huan Du, Jeffrey Scott Seely
  • Wearable devices and methods for improved speech recognition
    Patent number: 11036302
    Abstract: Systems and methods for using neuromuscular information to improve speech recognition. The system includes a plurality of neuromuscular sensors, arranged on one or more wearable devices, wherein the plurality of neuromuscular sensors is configured to continuously record a plurality of neuromuscular signals from a user, at least one storage device configured to store one or more trained statistical models, and at least one computer processor programmed to provide as an input to the one or more trained statistical models, the plurality of neuromuscular signals or signals derived from the plurality of neuromuscular signals, determine based, at least in part, on an output of the one or more trained statistical models, at least one instruction for modifying an operation of a speech recognizer, and provide the at least one instruction to the speech recognizer.
    Type: Grant
    Filed: February 10, 2020
    Date of Patent: June 15, 2021
    Assignee: Facebook Technologies, LLC
    Inventors: Adam Berenzweig, Patrick Kaifosh, Alan Huan Du, Jeffrey Scott Seely
  • SYSTEMS, METHODS, AND INTERFACES FOR PERFORMING INPUTS BASED ON NEUROMUSCULAR CONTROL
    Publication number: 20210064132
    Abstract: The disclosed computer-implemented method may include presenting, via a user interface, a sensory cue, and receiving, from neuromuscular sensors of a wearable device, various neuromuscular signals generated by a user wearing the wearable device, where the user generates the neuromuscular signals in response to the sensory cue being presented to the user via the user interface;. The method may also include interpreting the received neuromuscular signals as input commands with respect to the sensory cue provided by the user interface, such that the input commands initiate performance of specified tasks within the user interface. The method may also include performing the specified tasks within the user interface according to the interpreted input commands. Various other methods, systems, and computer-readable media are also disclosed.
    Type: Application
    Filed: September 2, 2020
    Publication date: March 4, 2021
    Inventors: Ran Rubin, Jason Lowell Reisman, Robert Phillips Cochran, Naor Brown, Nitzan Bartov, Joshua Duyan, Daniel Wetmore, Alexandre Barachant, Adam Berenzweig, Jeffrey Scott Seely, Christopher Anderson
  • Systems and methods for text input using neuromuscular information
    Patent number: 10937414
    Abstract: Systems and methods for text input based on neuromuscular information. The system includes a plurality of neuromuscular sensors, arranged on one or more wearable devices, wherein the plurality of neuromuscular sensors is configured to continuously record a plurality of neuromuscular signals from a user, at least one storage device configured to store one or more trained statistical models, and at least one computer processor programmed to obtain the plurality of neuromuscular signals from the plurality of neuromuscular sensors, provide as input to the one or more trained statistical models, the plurality of neuromuscular signals or signals derived from the plurality of neuromuscular signals, and determine based, at least in part, on an output of the one or more trained statistical models, one or more linguistic tokens.
    Type: Grant
    Filed: May 8, 2018
    Date of Patent: March 2, 2021
    Assignee: Facebook Technologies, LLC
    Inventors: Adam Berenzweig, Alan Huan Du, Jeffrey Scott Seely
  • Systems and methods for improved speech recognition using neuromuscular information
    Patent number: 10592001
    Abstract: Systems and methods for using neuromuscular information to improve speech recognition. The system includes a plurality of neuromuscular sensors, arranged on one or more wearable devices, wherein the plurality of neuromuscular sensors is configured to continuously record a plurality of neuromuscular signals from a user, at least one storage device configured to store one or more trained statistical models, and at least one computer processor programmed to provide as an input to the one or more trained statistical models, the plurality of neuromuscular signals or signals derived from the plurality of neuromuscular signals, determine based, at least in part, on an output of the one or more trained statistical models, at least one instruction for modifying an operation of a speech recognizer, and provide the at least one instruction to the speech recognizer.
    Type: Grant
    Filed: May 8, 2018
    Date of Patent: March 17, 2020
    Assignee: Facebook Technologies, LLC
    Inventors: Adam Berenzweig, Patrick Kaifosh, Alan Huan Du, Jeffrey Scott Seely
  • SYSTEMS AND METHODS FOR IMPROVED SPEECH RECOGNITION USING NEUROMUSCULAR INFORMATION
    Publication number: 20190348025
    Abstract: Systems and methods for using neuromuscular information to improve speech recognition. The system includes a plurality of neuromuscular sensors, arranged on one or more wearable devices, wherein the plurality of neuromuscular sensors is configured to continuously record a plurality of neuromuscular signals from a user, at least one storage device configured to store one or more trained statistical models, and at least one computer processor programmed to provide as an input to the one or more trained statistical models, the plurality of neuromuscular signals or signals derived from the plurality of neuromuscular signals, determine based, at least in part, on an output of the one or more trained statistical models, at least one instruction for modifying an operation of a speech recognizer, and provide the at least one instruction to the speech recognizer.
    Type: Application
    Filed: May 8, 2018
    Publication date: November 14, 2019
    Applicant: CTRL-labs Corporation
    Inventors: Adam Berenzweig, Patrick Kaifosh, Alan Huan Du, Jeffrey Scott Seely
  • SYSTEMS AND METHODS FOR TEXT INPUT USING NEUROMUSCULAR INFORMATION
    Publication number: 20190348027
    Abstract: Systems and methods for text input based on neuromuscular information. The system includes a plurality of neuromuscular sensors, arranged on one or more wearable devices, wherein the plurality of neuromuscular sensors is configured to continuously record a plurality of neuromuscular signals from a user, at least one storage device configured to store one or more trained statistical models, and at least one computer processor programmed to obtain the plurality of neuromuscular signals from the plurality of neuromuscular sensors, provide as input to the one or more trained statistical models, the plurality of neuromuscular signals or signals derived from the plurality of neuromuscular signals, and determine based, at least in part, on an output of the one or more trained statistical models, one or more linguistic tokens.
    Type: Application
    Filed: May 8, 2018
    Publication date: November 14, 2019
    Applicant: CTRL-labs Corporation
    Inventors: Adam Berenzweig, Alan Huan Du, Jeffrey Scott Seely
  • SYSTEMS AND METHODS FOR IMPROVED SPEECH RECOGNITION USING NEUROMUSCULAR INFORMATION
    Publication number: 20190348026
    Abstract: Systems and methods for using neuromuscular information to improve speech recognition. The system includes a plurality of neuromuscular sensors arranged on one or more wearable devices and configured to continuously record a plurality of neuromuscular signals from a user, at least one storage device configured to store one or more trained statistical models for determining text based on audio input and the plurality of neuromuscular signals, at least one input interface configured to receive the audio input, and at least one computer processor programmed to obtain the audio input and the plurality of neuromuscular signals, provide as input to the one or more trained statistical models, the audio input and the plurality of neuromuscular signals or signals derived from the plurality of neuromuscular signals, and determine based, at least in part, on an output of the one or more trained statistical models, the text.
    Type: Application
    Filed: May 8, 2018
    Publication date: November 14, 2019
    Applicant: CTRL-labs Corporation
    Inventors: Adam Berenzweig, Patrick Kaifosh, Alan Huan Du, Jeffrey Scott Seely
  • Property record document data verification systems and methods
    Patent number: 9639751
    Abstract: A data verification system is configured to verify machine-recognized data elements acquired during a machine-implemented data acquisition process. The system includes a data verification workstation, an image server, and a data entry server. The data verification workstation is configured to obtain document images from the image server, present portions of document images to an operator, wherein the document images include text, and receive input from the operator based on the text. The input includes data elements. The data verification workstation is also configured to acquire machine-recognized data elements from the data entry server. The machine-recognized data elements were acquired from the document image during a machine-implemented data acquisition process based on the text.
    Type: Grant
    Filed: June 30, 2015
    Date of Patent: May 2, 2017
    Assignee: FIRST AMERICAN FINANCIAL CORPORATION
    Inventors: Daniel A. Newcomer, Jon Scott Seely, Dennis Lee Branham, Paul Kosan
  • PROPERTY RECORD DOCUMENT DATA VERIFICATION SYSTEMS AND METHODS
    Publication number: 20150379346
    Abstract: A data verification system is configured to verify machine-recognized data elements acquired during a machine-implemented data acquisition process. The system includes a data verification workstation, an image server, and a data entry server. The data verification workstation is configured to obtain document images from the image server, present portions of document images to an operator, wherein the document images include text, and receive input from the operator based on the text. The input includes data elements. The data verification workstation is also configured to acquire machine-recognized data elements from the data entry server. The machine-recognized data elements were acquired from the document image during a machine-implemented data acquisition process based on the text.
    Type: Application
    Filed: June 30, 2015
    Publication date: December 31, 2015
    Applicant: First American Financial Corporation
    Inventors: Daniel A. Newcomer, Jon Scott Seely, Dennis Lee Branham, Paul Kosan
  • Property record document data verification systems and methods
    Patent number: 9152859
    Abstract: A data verification system is configured to verify machine-recognized data elements acquired during a machine-implemented data acquisition process. The system includes a data verification workstation, an image server, and a data entry server. The data verification workstation is configured to obtain document images from the image server, present portions of document images to an operator, wherein the document images include text, and receive input from the operator based on the text. The input includes data elements. The data verification workstation is also configured to acquire machine-recognized data elements from the data entry server. The machine-recognized data elements were acquired from the document image during a machine-implemented data acquisition process based on the text.
    Type: Grant
    Filed: March 11, 2013
    Date of Patent: October 6, 2015
    Assignee: First American Financial Corporation
    Inventors: Daniel A. Newcomer, John Scott Seely, Dennis Lee Branham, Paul Kosan
  • Property record document data verification systems and methods
    Patent number: 8401301
    Abstract: A data verification system is configured to verify machine-recognized data elements acquired during a machine-implemented data acquisition process. The system includes a data verification workstation, a image server, and a data entry server. The data verification workstation is configured to obtain document images from the image server, present portions of document images to an operator, wherein the document images include text, and receive input from the operator based on the text. The input includes data elements. The data verification workstation is also configured to acquire machine-recognized data elements from the data entry server. The machine-recognized data elements were acquired from the document image during a machine-implemented data acquisition process based on the text.
    Type: Grant
    Filed: February 8, 2010
    Date of Patent: March 19, 2013
    Assignee: The First American Corporation
    Inventors: Daniel A. Newcomer, Jon Scott Seely, Dennis Lee Branham, Paul Kosan
  • Property record document data validation systems and methods
    Patent number: 8064703
    Abstract: A method of extracting data from a document image includes selecting a document classification for the document image that includes text. The classification is selected from a plurality of predetermined document classifications based on recognized text. The method also includes selecting rules from a database of rules based on the document classification. The rules define data elements to be populated based on recognized document text. The method also includes selecting target data elements from a database of data elements based on the selected document classification and the selected rules. The method also includes recognizing selected portions of the document image. The selected portions are determined by the selected rules. Recognizing selected portions of the document image generates one or more character strings based on recognized text. The method further includes comparing a specific character string to a target data element, thereby producing a match measure based on the comparison.
    Type: Grant
    Filed: March 17, 2006
    Date of Patent: November 22, 2011
    Assignee: Data Trace Information Services, LLC
    Inventors: Daniel A. Newcomer, Jon Scott Seely, Dennis Lee Branham, Paul Kosan
  • PROPERTY RECORD DOCUMENT DATA VERIFICATION SYSTEMS AND METHODS
    Publication number: 20100135579
    Abstract: A data verification system is configured to verify machine-recognized data elements acquired during a machine-implemented data acquisition process. The system includes a data verification workstation, a image server, and a data entry server. The data verification workstation is configured to obtain document images from the image server, present portions of document images to an operator, wherein the document images include text, and receive input from the operator based on the text. The input includes data elements. The data verification workstation is also configured to acquire machine-recognized data elements from the data entry server. The machine-recognized data elements were acquired from the document image during a machine-implemented data acquisition process based on the text.
    Type: Application
    Filed: February 8, 2010
    Publication date: June 3, 2010
    Applicant: The First American Corporation
    Inventors: Daniel A. Newcomer, Jon Scott Seely, Dennis Lee Branham, Paul Kosan
  • Interface infrastructure for creating and interacting with web services
    Publication number: 20060150200
    Abstract: A web services namespace pertains to an infrastructure for enabling creation of a wide variety of applications. The infrastructure provides a foundation for building message-based applications of various scale and complexity. The infrastructure or framework provides APIs for basic messaging, secure messaging, reliable messaging and transacted messaging. In some embodiments, the associated APIs are factored into a hierarchy of namespaces in a manner that balances utility, usability, extensibility and versionability.
    Type: Application
    Filed: December 3, 2004
    Publication date: July 6, 2006
    Applicant: Microsoft Corporation
    Inventors: Shy Cohen, Geary Eppley, Douglas Purdy, James Johnson, Stephen Millet, Stephen Swartz, Vijay Gajjala, Aaron Stern, Alexander DeJarnatt, Alfred Lee, Anand Rjagopalan, Anastasios Kasiolas, Chaitanya Upadhyay, Christopher Kaler, Craig Critchley, David Levin, David Driver, David Wortendyke, Douglas Walter, Elliot Waingold, Erik Christensen, Erin Honeycutt, Eugene Shvets, Evgeny Osovetsky, Giovanni Della-Libera, Jesus Ruiz-Scougall, John Doty, Jonathan Wheeler, Kapil Gupta, Kenneth Wolf, Krishnan Srinivasan, Lance Olson, Matthew Tavis, Mauro Ottaviani, Max Feingold, Michael Coulson, Michael Marucheck, Michael Vernal, Michael Dice, Mohamed-Hany Ramadan, Mohammad Makarechian, Natasha Jethanandani, Richard Dievendorff, Richard Hill, Ryan Sturgell, Saurab Nog, Scott Seely, Serge Sverdlov, Siddhartha Puri, Sowmyanarayanan Srinivasan, Stefan Batres, Stefan Pharies, Tirunelveli Vishwanath, Tomasz Janczuk, Uday Hegde, Umesh Madan, Vaithialingam Balayogan, Vipul Modi, Yaniv Pessach, Yasser Shohoud