Patents by Inventor Nathan Danielson

Nathan Danielson 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).

  • Patent number: 11587242
    Abstract: System and methods are provided for providing a dynamically-updated musculoskeletal representation of a hand. The system includes a plurality of neuromuscular sensors configured to continuously record a plurality of neuromuscular signals from a user, and at least one computer processor programmed to provide as input to a trained statistical model, the plurality of neuromuscular signals and temporally smooth in real-time an output of the trained statistical model. The system is also programmed to determine, based on the smoothed output of the trained statistical model, position information describing a spatial relationship between two or more connected segments of the musculoskeletal representation, force information describing a force exerted by at least one segment of the musculoskeletal representation, and update the musculoskeletal representation of the hand based, at least in part, on the position information and the force information.
    Type: Grant
    Filed: August 20, 2021
    Date of Patent: February 21, 2023
    Assignee: Meta Platforms Technologies, LLC
    Inventors: Tudor Giurgica-Tiron, Adam Al-natsheh, Nathan Danielson
  • Publication number: 20220019284
    Abstract: Computerized systems, methods, and computer-readable storage media storing code for the methods enable feedback to be provided to a user based on neuromuscular signals sensed from the user. One such system includes neuromuscular sensors and at least one computer processor. The sensors, which are arranged on one or more wearable devices, are configured to sense neuromuscular signals from the user. The at least one computer processor is or are programmed to process the neuromuscular signals using one or more inference models, and to provide feedback to the user based on one or both of: the processed neuromuscular signals and information derived from the processed neuromuscular signals. The feedback includes visual feedback of information relating to one or both of: a timing of an activation of at least one motor unit of the user and an intensity of the activation of the at least one motor unit of the user.
    Type: Application
    Filed: November 15, 2019
    Publication date: January 20, 2022
    Inventors: Patrick KAIFOSH, Alexandre BARACHANT, Mason REMALEY, Julien KILlAN, Kirak HONG, Nathan DANIELSON, Qiushi MAO, Daniel WETMORE
  • Patent number: 11127143
    Abstract: System and methods are provided for providing a dynamically-updated musculoskeletal representation of a hand. The system includes a plurality of neuromuscular sensors configured to continuously record a plurality of neuromuscular signals from a user, and at least one computer processor programmed to provide as input to a trained statistical model, the plurality of neuromuscular signals and temporally smooth in real-time an output of the trained statistical model. The system is also programmed to determine, based on the smoothed output of the trained statistical model, position information describing a spatial relationship between two or more connected segments of the musculoskeletal representation, force information describing a force exerted by at least one segment of the musculoskeletal representation, and update the musculoskeletal representation of the hand based, at least in part, on the position information and the force information.
    Type: Grant
    Filed: October 1, 2019
    Date of Patent: September 21, 2021
    Assignee: Facebook Technologies, LLC
    Inventors: Tudor Giurgica-Tiron, Adam Al-natsheh, Nathan Danielson
  • Publication number: 20200034978
    Abstract: System and methods are provided for providing a dynamically-updated musculoskeletal representation of a hand. The system includes a plurality of neuromuscular sensors configured to continuously record a plurality of neuromuscular signals from a user, and at least one computer processor programmed to provide as input to a trained statistical model, the plurality of neuromuscular signals and temporally smooth in real-time an output of the trained statistical model. The system is also programmed to determine, based on the smoothed output of the trained statistical model, position information describing a spatial relationship between two or more connected segments of the musculoskeletal representation, force information describing a force exerted by at least one segment of the musculoskeletal representation, and update the musculoskeletal representation of the hand based, at least in part, on the position information and the force information.
    Type: Application
    Filed: October 1, 2019
    Publication date: January 30, 2020
    Applicant: CTRL-labs Corporation
    Inventors: Tudor Giurgica-Tiron, Adam Al-natsheh, Nathan Danielson
  • Patent number: 10460455
    Abstract: System and methods are provided for providing a dynamically-updated musculoskeletal representation of a hand. The system includes a plurality of neuromuscular sensors configured to continuously record a plurality of neuromuscular signals from a user, and at least one computer processor programmed to provide as input to a trained statistical model, the plurality of neuromuscular signals and temporally smooth in real-time an output of the trained statistical model. The system is also programmed to determine, based on the smoothed output of the trained statistical model, position information describing a spatial relationship between two or more connected segments of the musculoskeletal representation, force information describing a force exerted by at least one segment of the musculoskeletal representation, and update the musculoskeletal representation of the hand based, at least in part, on the position information and the force information.
    Type: Grant
    Filed: January 25, 2019
    Date of Patent: October 29, 2019
    Assignee: CTRL-labs Corporation
    Inventors: Tudor Giurgica-Tiron, Adam Al-natsheh, Nathan Danielson
  • Publication number: 20190228533
    Abstract: System and methods are provided for providing a dynamically-updated musculoskeletal representation of a hand. The system includes a plurality of neuromuscular sensors configured to continuously record a plurality of neuromuscular signals from a user, and at least one computer processor programmed to provide as input to a trained statistical model, the plurality of neuromuscular signals and temporally smooth in real-time an output of the trained statistical model. The system is also programmed to determine, based on the smoothed output of the trained statistical model, position information describing a spatial relationship between two or more connected segments of the musculoskeletal representation, force information describing a force exerted by at least one segment of the musculoskeletal representation, and update the musculoskeletal representation of the hand based, at least in part, on the position information and the force information.
    Type: Application
    Filed: January 25, 2019
    Publication date: July 25, 2019
    Applicant: CTRL-labs Corporation
    Inventors: Tudor Giurgica-Tiron, Adam Al-natsheh, Nathan Danielson
  • Publication number: 20060053045
    Abstract: A marketing system comprising a receiving means for receiving a request for researcher characteristics from a database comprising an array of researcher characteristics, a filtering means for filtering the array of researcher characteristics in order of relevance to the requested characteristics, and delivery means for delivering the relevant filtered researcher characteristics derived from the filtered array.
    Type: Application
    Filed: April 29, 2005
    Publication date: March 9, 2006
    Inventors: Nathan Danielson, Marc Shiker, James Watters
  • Publication number: 20040063124
    Abstract: The present invention discloses methods and apparatus for the detection of biological molecules in various samples. In particular, a method for detecting a hapten-labeled analyte in a solution wherein substantially all other solution constituents are labeled with a hapten is disclosed. The method may be used to detect single or multiple analytes in solution. Apparatus to detect such analytes are also disclosed.
    Type: Application
    Filed: August 6, 2003
    Publication date: April 1, 2004
    Applicant: ProteoPlex, Inc.
    Inventors: Sam LaBrie, Akash Mathur, Kim Lawry, Heather Pancio, Nathan Danielson