Patents by Inventor Nadine Hussami

Nadine Hussami 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).

  • METHODS AND APPARATUSES FOR LOW LATENCY BODY STATE PREDICTION BASED ON NEUROMUSCULAR DATA
    Publication number: 20220269346
    Abstract: The disclosed method may include receiving neuromuscular activity data over a first time series from a first sensor on a wearable device donned by a user receiving ground truth data over a second time series from a second sensor that indicates a body part state of a body part of the user, generating one or more training datasets by time-shifting at least a portion of the neuromuscular activity data over the first time series relative to the second time series, to associate the neuromuscular activity data with at least a portion of the ground truth data, and training one or more inferential models based on the one or more training datasets. Various other related methods and systems are also disclosed.
    Type: Application
    Filed: May 10, 2022
    Publication date: August 25, 2022
    Inventors: Nadine Hussami, Patrick Kaifosh, Alexandre Barachant, Daniel Wetmore
  • Methods and apparatuses for low latency body state prediction based on neuromuscular data
    Patent number: 11327566
    Abstract: The disclosed method may include receiving neuromuscular activity data over a first time series from a first sensor on a wearable device donned by a user receiving ground truth data over a second time series from a second sensor that indicates a body part state of a body part of the user, generating one or more training datasets by time-shifting at least a portion of the neuromuscular activity data over the first time series relative to the second time series, to associate the neuromuscular activity data with at least a portion of the ground truth data, and training one or more inferential models based on the one or more training datasets. Various other related methods and systems are also disclosed.
    Type: Grant
    Filed: March 27, 2020
    Date of Patent: May 10, 2022
    Assignee: Facebook Technologies, LLC
    Inventors: Nadine Hussami, Patrick Kaifosh, Alexandre Barachant, Daniel Wetmore
  • METHODS AND APPARATUSES FOR LOW LATENCY BODY STATE PREDICTION BASED ON NEUROMUSCULAR DATA
    Publication number: 20200310540
    Abstract: The disclosed method may include receiving neuromuscular activity data over a first time series from a first sensor on a wearable device donned by a user receiving ground truth data over a second time series from a second sensor that indicates a body part state of a body part of the user, generating one or more training datasets by time-shifting at least a portion of the neuromuscular activity data over the first time series relative to the second time series, to associate the neuromuscular activity data with at least a portion of the ground truth data, and training one or more inferential models based on the one or more training datasets. Various other related methods and systems are also disclosed.
    Type: Application
    Filed: March 27, 2020
    Publication date: October 1, 2020
    Inventors: Nadine Hussami, Patrick Kaifosh, Alexandre Baranchant, Daniel Wetmore