Patents by Inventor Jeffrey Scott Seely
Jeffrey 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).
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Patent number: 11493993Abstract: 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: GrantFiled: September 2, 2020Date of Patent: November 8, 2022Assignee: Meta Platforms Technologies, LLCInventors: 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
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Patent number: 11216069Abstract: 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: GrantFiled: May 8, 2018Date of Patent: January 4, 2022Assignee: Facebook Technologies, LLCInventors: Adam Berenzweig, Patrick Kaifosh, Alan Huan Du, Jeffrey Scott Seely
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Patent number: 11036302Abstract: 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: GrantFiled: February 10, 2020Date of Patent: June 15, 2021Assignee: Facebook Technologies, LLCInventors: Adam Berenzweig, Patrick Kaifosh, Alan Huan Du, Jeffrey Scott Seely
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Publication number: 20210064132Abstract: 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: ApplicationFiled: September 2, 2020Publication date: March 4, 2021Inventors: 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
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Patent number: 10937414Abstract: 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: GrantFiled: May 8, 2018Date of Patent: March 2, 2021Assignee: Facebook Technologies, LLCInventors: Adam Berenzweig, Alan Huan Du, Jeffrey Scott Seely
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Patent number: 10592001Abstract: 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: GrantFiled: May 8, 2018Date of Patent: March 17, 2020Assignee: Facebook Technologies, LLCInventors: Adam Berenzweig, Patrick Kaifosh, Alan Huan Du, Jeffrey Scott Seely
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Publication number: 20190348025Abstract: 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: ApplicationFiled: May 8, 2018Publication date: November 14, 2019Applicant: CTRL-labs CorporationInventors: Adam Berenzweig, Patrick Kaifosh, Alan Huan Du, Jeffrey Scott Seely
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Publication number: 20190348027Abstract: 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: ApplicationFiled: May 8, 2018Publication date: November 14, 2019Applicant: CTRL-labs CorporationInventors: Adam Berenzweig, Alan Huan Du, Jeffrey Scott Seely
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Publication number: 20190348026Abstract: 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: ApplicationFiled: May 8, 2018Publication date: November 14, 2019Applicant: CTRL-labs CorporationInventors: Adam Berenzweig, Patrick Kaifosh, Alan Huan Du, Jeffrey Scott Seely