Patents by Inventor Steven Kober

Steven Kober 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: 11163361
    Abstract: Methods and apparatus for calibrating performance of one or more statistical models used to generate a musculoskeletal representation. The method comprises controlling presentation of instructions via a user interface to instruct the user to perform the at least one gesture and updating at least one parameter of the one or more statistical models based, at least in part on a plurality of neuromuscular signals recorded by a plurality of neuromuscular sensors during performance of the at least one gesture by the user.
    Type: Grant
    Filed: October 31, 2019
    Date of Patent: November 2, 2021
    Assignee: Facebook Technologies, LLC
    Inventors: Patrick Kaifosh, Tudor Giurgica-Tiron, Adam Berenzweig, Steven Kober, Adam Al-natsheh, Alexandre Barachant, Zhuo Wang
  • Patent number: 10950047
    Abstract: Methods and apparatus for anonymizing neuromuscular signals used to generate a musculoskeletal representation. The method comprises recording, using a plurality of neuromuscular sensors arranged on one or more wearable devices, a plurality of neuromuscular signals from a user, providing as input to a trained statistical model, the plurality of neuromuscular signals and/or information based on the plurality of neuromuscular signals; and generating, the musculoskeletal representation based, at least in part, on an output of the trained statistical model, wherein the musculoskeletal representation is an anonymized musculoskeletal representation from which at least one personal characteristic of the user has been removed.
    Type: Grant
    Filed: October 16, 2019
    Date of Patent: March 16, 2021
    Assignee: Facebook Technologies, LLC
    Inventors: Patrick Kaifosh, Tudor Giurgica-Tiron, Steven Kober, Adam Al-natsheh, Alexandre Barachant
  • Publication number: 20200331112
    Abstract: A cover assembly for use on a cut-off tool. The tool has a housing, a motor having a rotor, and an output shaft for fastening a cutting wheel. The shaft is connected to the rotor, so the output shaft turns about an axis aligned with the centerline of the rotor. The assembly includes a cover sized for receiving the cutting wheel. The cover has a collar sized for receiving a portion of the tool surrounding the output shaft. The collar is fastenable to the tool. The tool includes a foot having an elongated planar sole pivotally attached to the cover. The foot is pivotable with respect to the cover to adjust a distance that the cutting wheel extends from the sole. The cover includes a clamp for clamping the foot to the cover when the distance the cutting wheel extends from the sole corresponds to a desired maximum cutting depth.
    Type: Application
    Filed: April 17, 2019
    Publication date: October 22, 2020
    Inventor: Steven Kober
  • Publication number: 20200125172
    Abstract: Methods and apparatus for calibrating performance of one or more statistical models used to generate a musculoskeletal representation. The method comprises controlling presentation of instructions via a user interface to instruct the user to perform the at least one gesture and updating at least one parameter of the one or more statistical models based, at least in part on a plurality of neuromuscular signals recorded by a plurality of neuromuscular sensors during performance of the at least one gesture by the user.
    Type: Application
    Filed: October 31, 2019
    Publication date: April 23, 2020
    Applicant: CTRL-labs Corporation
    Inventors: Patrick Kaifosh, Tudor Giurgica-Tiron, Adam Berenzweig, Steven Kober, Adam Al-natsheh, Alexandre Barachant, Zhuo Wang
  • Publication number: 20200118334
    Abstract: Methods and apparatus for anonymizing neuromuscular signals used to generate a musculoskeletal representation. The method comprises recording, using a plurality of neuromuscular sensors arranged on one or more wearable devices, a plurality of neuromuscular signals from a user, providing as input to a trained statistical model, the plurality of neuromuscular signals and/or information based on the plurality of neuromuscular signals; and generating, the musculoskeletal representation based, at least in part, on an output of the trained statistical model, wherein the musculoskeletal representation is an anonymized musculoskeletal representation from which at least one personal characteristic of the user has been removed.
    Type: Application
    Filed: October 16, 2019
    Publication date: April 16, 2020
    Applicant: CTRL-labs Corporation
    Inventors: Patrick Kaifosh, Tudor Giurgica-Tiron, Steven Kober, Adam Al-natsheh, Alexandre Barachant
  • Patent number: 10504286
    Abstract: Methods and apparatus for anonymizing neuromuscular signals used to generate a musculoskeletal representation. The method comprises recording, using a plurality of neuromuscular sensors arranged on one or more wearable devices, a plurality of neuromuscular signals from a user, providing as input to a trained statistical model, the plurality of neuromuscular signals and/or information based on the plurality of neuromuscular signals; and generating, the musculoskeletal representation based, at least in part, on an output of the trained statistical model, wherein the musculoskeletal representation is an anonymized musculoskeletal representation from which at least one personal characteristic of the user has been removed.
    Type: Grant
    Filed: January 25, 2019
    Date of Patent: December 10, 2019
    Assignee: CTRL-labs Corporation
    Inventors: Patrick Kaifosh, Tudor Giurgica-Tiron, Steven Kober, Adam Al-natsheh, Alexandre Barachant
  • Patent number: 10496168
    Abstract: Methods and apparatus for calibrating performance of one or more statistical models used to generate a musculoskeletal representation. The method comprises controlling presentation of instructions via a user interface to instruct the user to perform the at least one gesture and updating at least one parameter of the one or more statistical models based, at least in part on a plurality of neuromuscular signals recorded by a plurality of neuromuscular sensors during performance of the at least one gesture by the user.
    Type: Grant
    Filed: January 25, 2019
    Date of Patent: December 3, 2019
    Assignee: CTRL-labs Corporation
    Inventors: Patrick Kaifosh, Tudor Giurgica-Tiron, Adam Berenzweig, Steven Kober, Adam Al-natsheh, Alexandre Barachant, Zhuo Wang
  • Publication number: 20190228579
    Abstract: Methods and apparatus for anonymizing neuromuscular signals used to generate a musculoskeletal representation. The method comprises recording, using a plurality of neuromuscular sensors arranged on one or more wearable devices, a plurality of neuromuscular signals from a user, providing as input to a trained statistical model, the plurality of neuromuscular signals and/or information based on the plurality of neuromuscular signals; and generating, the musculoskeletal representation based, at least in part, on an output of the trained statistical model, wherein the musculoskeletal representation is an anonymized musculoskeletal representation from which at least one personal characteristic of the user has been removed.
    Type: Application
    Filed: January 25, 2019
    Publication date: July 25, 2019
    Applicant: CTRL-labs Corporation
    Inventors: Patrick Kaifosh, Tudor Giurgica-Tiron, Steven Kober, Adam Al-natsheh, Alexandre Barachant
  • Publication number: 20190227627
    Abstract: Methods and apparatus for calibrating performance of one or more statistical models used to generate a musculoskeletal representation. The method comprises controlling presentation of instructions via a user interface to instruct the user to perform the at least one gesture and updating at least one parameter of the one or more statistical models based, at least in part on a plurality of neuromuscular signals recorded by a plurality of neuromuscular sensors during performance of the at least one gesture by the user.
    Type: Application
    Filed: January 25, 2019
    Publication date: July 25, 2019
    Applicant: CTRL-labs Corporation
    Inventors: Patrick Kaifosh, Tudor Giurgica-Tiron, Adam Berenzweig, Steven Kober, Adam Al-natsheh, Alexandre Barachant, Zhuo Wang