Patents by Inventor Logan Niehaus
Logan Niehaus 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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Publication number: 20240057937Abstract: Approaches described herein can capture an audio signal using at least one microphone while a user of an electronic device is determined to be asleep. At least one audio frame can be determined from the audio signal. The at least one audio frame represents a spectrum of frequencies detected by the at least one microphone over some period of time. One or more sounds associated with the at least one audio frame can be determined. Sleep-related information can be generated. The information identifies the one or more sounds as potential sources of sleep disruption.Type: ApplicationFiled: September 14, 2023Publication date: February 22, 2024Inventors: Hao-Wei Su, Logan Niehaus, Conor Joseph Heneghan, Jonathan David Charlesworth, Subramaniam Venkatraman, Shelten Gee Jao Yuen
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Patent number: 11889994Abstract: Health information for a woman can be used to predict timing of events related to the woman's menstrual cycle. If available, historical cycle information for a woman can be used to predict upcoming cycle events, such as the start and stop of menstruation. To improve the accuracy of those predictions, one or more health metrics are monitored for the woman that can be correlated with the menstrual cycle. These can include, for example, the resting heart rate (RHR), blood oxygen concentration (SpO2) level, and hemoglobin concentration, among other such options. The metrics are monitored over time to determine patterns that can be correlated with menstrual cycle. This information can then be used to update the predictive model, as well as to update individual event predictions. Information about the predictions, and updates to the predictions, can be surfaced accordingly.Type: GrantFiled: September 4, 2020Date of Patent: February 6, 2024Assignee: FITBIT, INC.Inventors: Belen Lafon, Chris Hanrahan Sarantos, Conor Joseph Heneghan, Logan Niehaus, Jaclyn Leverett Wasson, Peter Colin Dess, Amir Bahador Farjadian, Zachary Todd Beattie, Atiyeh Ghoreyshi, Allison Shih Wu
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Patent number: 11793453Abstract: Approaches described herein can capture an audio signal using at least one microphone while a user of an electronic device is determined to be asleep. At least one audio frame can be determined from the audio signal. The at least one audio frame represents a spectrum of frequencies detected by the at least one microphone over some period of time. One or more sounds associated with the at least one audio frame can be determined. Sleep-related information can be generated. The information identifies the one or more sounds as potential sources of sleep disruption.Type: GrantFiled: June 2, 2020Date of Patent: October 24, 2023Assignee: Fitbit, Inc.Inventors: Hao-Wei Su, Logan Niehaus, Conor Joseph Heneghan, Jonathan David Charlesworth, Subramaniam Venkatraman, Shelten Gee Jao Yuen
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Publication number: 20230293028Abstract: Disclosed are devices and methods for estimating blood pressure, which implement a pulse-transit-time-based blood pressure model that can be calibrated. Some implementations provide reliable and user friendly means for calibrating the blood pressure model using blood pressure perturbation methods and multiple sensors.Type: ApplicationFiled: February 27, 2023Publication date: September 21, 2023Inventors: Alexandros A. Pantelopoulos, Thomas Samuel Elliot, Logan Niehaus
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Publication number: 20230112041Abstract: Techniques for music selection based on exercise detection are disclosed. In one aspect, a method of operating a wearable device may involve determining, based on output of one or more biometric sensors, that a user of the wearable device has started an exercise and playing music for the user of the wearable device in response to determining the start of the exercise. For example, playing the music may involve turning on a music player based on the start of the exercise. In another example, the wearable device includes the music player.Type: ApplicationFiled: October 14, 2022Publication date: April 13, 2023Inventors: Logan Niehaus, Peter Duyan, Subramaniam Venkatraman, Shelten Gee Jao Yuen, Timothy M. Roberts
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Patent number: 11589758Abstract: Disclosed are devices and methods for estimating blood pressure, which implement a pulse-transit-time-based blood pressure model that can be calibrated. Some implementations provide reliable and user friendly means for calibrating the blood pressure model using blood pressure perturbation methods and multiple sensors.Type: GrantFiled: January 24, 2017Date of Patent: February 28, 2023Assignee: Fitbit, Inc.Inventors: Alexandros A. Pantelopoulos, Thomas Samuel Elliot, Logan Niehaus
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Publication number: 20230012178Abstract: A wearable device for tracking swim activities of a user is provided. The wearable device may include one or more sensors configured to generate sensor data, and based on the sensor data, the wearable device may determine swim metrics such as swim stroke count, swim stroke type, swim lap count, and swim speed. The determined swim metrics may be filtered based on one or more swim periods during which the user is likely to have been swimming. The wearable device may determine such swim periods based on the sensor data and/or the determined swim metrics.Type: ApplicationFiled: September 19, 2022Publication date: January 12, 2023Inventors: Logan Niehaus, Subramaniam Venkatraman, Jonathan Wonwook Kim
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Publication number: 20220248967Abstract: Approaches described herein can determine one or more breathing phase patterns over a period of time using audio data captured by at least one microphone. The audio data can include one or more snores. A breathing phase pattern included within the period of time can be determined based at least in part on sensor data captured by one or more sensors in the electronic device. A determination can be made that a first breathing phase pattern represented by the audio data and a second breathing phase pattern represented by the sensor data are correlated. A determination can be made that the first breathing phase pattern represented by the audio data and the second breathing phase pattern represented by the sensor data both correspond to a user wearing the electronic device.Type: ApplicationFiled: January 24, 2022Publication date: August 11, 2022Inventors: Hao-Wei Su, Logan Niehaus, Conor Joseph Heneghan, Johnathan Charlesworth, Subramaniam Venkatraman, Shelten Gee Jao Yuen
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Publication number: 20220151502Abstract: This disclosure provides devices and methods for estimating blood pressure using intelligent oscillometric blood pressure measurement techniques, where some implementations of the devices include multiple biometric sensors and/or can obtain sensor data from a connected device. In some implementations, the devices automatically determine an identity of a user. In some implementations, the devices automatically provide instructions to users to take blood pressure measurements. In some implementations, the devices applied intelligent inflation techniques to improve user comfort and speed up measurements.Type: ApplicationFiled: November 22, 2021Publication date: May 19, 2022Inventors: Logan Niehaus, Andrew Larsen Axley
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Patent number: 11229369Abstract: Approaches described herein can determine one or more breathing phase patterns over a period of time using audio data captured by at least one microphone. The audio data can include one or more snores. A breathing phase pattern included within the period of time can be determined based at least in part on sensor data captured by one or more sensors in the electronic device. A determination can be made that a first breathing phase pattern represented by the audio data and a second breathing phase pattern represented by the sensor data are correlated. A determination can be made that the first breathing phase pattern represented by the audio data and the second breathing phase pattern represented by the sensor data both correspond to a user wearing the electronic device.Type: GrantFiled: June 4, 2019Date of Patent: January 25, 2022Assignee: Fitbit IncInventors: Hao-Wei Su, Logan Niehaus, Conor Joseph Heneghan, Jonathan David Charlesworth, Subramaniam Venkatraman, Shelten Gee Jao Yuen
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Patent number: 11179049Abstract: This disclosure provides devices and methods for estimating blood pressure using intelligent oscillometric blood pressure measurement techniques, where some implementations of the devices include multiple biometric sensors and/or can obtain sensor data from a connected device. In some implementations, the devices automatically determine an identity of a user. In some implementations, the devices automatically provide instructions to users to take blood pressure measurements. In some implementations, the devices applied intelligent inflation techniques to improve user comfort and speed up measurements.Type: GrantFiled: February 24, 2017Date of Patent: November 23, 2021Assignee: Fitbit, Inc.Inventors: Logan Niehaus, Andrew Larsen Axley
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Publication number: 20210170227Abstract: A wearable device for tracking swim activities of a user is provided. The wearable device may include one or more sensors configured to generate sensor data, and based on the sensor data, the wearable device may determine swim metrics such as swim stroke count, swim stroke type, swim lap count, and swim speed. The determined swim metrics may be filtered based on one or more swim periods during which the user is likely to have been swimming. The wearable device may determine such swim periods based on the sensor data and/or the determined swim metrics.Type: ApplicationFiled: February 12, 2021Publication date: June 10, 2021Inventors: Logan Niehaus, Subramaniam Venkatraman, Jonathan Wonwook Kim
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Publication number: 20210145415Abstract: Health information for a woman can be used to predict timing of events related to the woman's menstrual cycle. If available, historical cycle information for a woman can be used to predict upcoming cycle events, such as the start and stop of menstruation. To improve the accuracy of those predictions, one or more health metrics are monitored for the woman that can be correlated with the menstrual cycle. These can include, for example, the resting heart rate (RHR), blood oxygen concentration (SpO2) level, and hemoglobin concentration, among other such options. The metrics are monitored over time to determine patterns that can be correlated with menstrual cycle. This information can then be used to update the predictive model, as well as to update individual event predictions. Information about the predictions, and updates to the predictions, can be surfaced accordingly.Type: ApplicationFiled: September 4, 2020Publication date: May 20, 2021Inventors: Belen Lafon, Chris Hanrahan Sarantos, Conor Joseph Heneghan, Logan Niehaus, Jaclyn Leverett Wasson, Peter Colin Dess, Amir Bahador Farjadian, Zachary Todd Beattie, Atiyeh Ghoreyshi, Allison Shih Wu
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Patent number: 10918907Abstract: A wearable device for tracking swim activities of a user is provided. The wearable device may include one or more sensors configured to generate sensor data, and based on the sensor data, the wearable device may determine swim metrics such as swim stroke count, swim stroke type, swim lap count, and swim speed. The determined swim metrics may be filtered based on one or more swim periods during which the user is likely to have been swimming. The wearable device may determine such swim periods based on the sensor data and/or the determined swim metrics.Type: GrantFiled: August 14, 2017Date of Patent: February 16, 2021Assignee: Fitbit, Inc.Inventors: Logan Niehaus, Subramaniam Venkatraman, Jonathan Wonwook Kim
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Publication number: 20200383633Abstract: Approaches described herein can capture an audio signal using at least one microphone while a user of an electronic device is determined to be asleep. At least one audio frame can be determined from the audio signal. The at least one audio frame represents a spectrum of frequencies detected by the at least one microphone over some period of time. One or more sounds associated with the at least one audio frame can be determined. Sleep-related information can be generated. The information identifies the one or more sounds as potential sources of sleep disruption.Type: ApplicationFiled: June 2, 2020Publication date: December 10, 2020Inventors: Hao-Wei Su, Logan Niehaus, Conor Joseph Heneghan, Jonathan David Charlesworth, Subramaniam Venkatraman, Shelten Gee Jao Yuen
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Publication number: 20200383581Abstract: Approaches described herein can determine one or more breathing phase patterns over a period of time using audio data captured by at least one microphone. The audio data can include one or more snores. A breathing phase pattern included within the period of time can be determined based at least in part on sensor data captured by one or more sensors in the electronic device. A determination can be made that a first breathing phase pattern represented by the audio data and a second breathing phase pattern represented by the sensor data are correlated. A determination can be made that the first breathing phase pattern represented by the audio data and the second breathing phase pattern represented by the sensor data both correspond to a user wearing the electronic device.Type: ApplicationFiled: June 4, 2019Publication date: December 10, 2020Inventors: Hao-Wei Su, Logan Niehaus, Conor Joseph Heneghan, Jonathan David Charlesworth, Subramaniam Venkatraman, Shelten Gee Jao Yuen
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Patent number: 10765409Abstract: Health information for a woman can be used to predict timing of events related to the woman's menstrual cycle. If available, historical cycle information for a woman can be used to predict upcoming cycle events, such as the start and stop of menstruation. To improve the accuracy of those predictions, one or more health metrics are monitored for the woman that can be correlated with the menstrual cycle. These can include, for example, the resting heart rate (RHR), blood oxygen concentration (SpO2) level, and hemoglobin concentration, among other such options. The metrics are monitored over time to determine patterns that can be correlated with menstrual cycle. This information can then be used to update the predictive model, as well as to update individual event predictions. Information about the predictions, and updates to the predictions, can be surfaced accordingly.Type: GrantFiled: June 14, 2019Date of Patent: September 8, 2020Assignee: FITBIT, INC.Inventors: Belen Lafon, Chris H. Sarantos, Conor Joseph Heneghan, Logan Niehaus, Jaclyn Leverett Wasson, Peter Colin Dess, Amir Bahador Farjadian, Zachary Todd Beattie, Atiyeh Ghoreyshi, Allison Shih Wu
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Publication number: 20200000441Abstract: Health information for a woman can be used to predict timing of events related to the woman's menstrual cycle. If available, historical cycle information for a woman can be used to predict upcoming cycle events, such as the start and stop of menstruation. To improve the accuracy of those predictions, one or more health metrics are monitored for the woman that can be correlated with the menstrual cycle. These can include, for example, the resting heart rate (RHR), blood oxygen concentration (SpO2) level, and hemoglobin concentration, among other such options. The metrics are monitored over time to determine patterns that can be correlated with menstrual cycle. This information can then be used to update the predictive model, as well as to update individual event predictions. Information about the predictions, and updates to the predictions, can be surfaced accordingly.Type: ApplicationFiled: June 14, 2019Publication date: January 2, 2020Inventors: Belen Lafon, Chris H. Sarantos, Conor Joseph Heneghan, Logan Niehaus, Jaclyn Leverett Wasson, Peter Colin Dess, Amir Bahador Farjadian, Zachary Todd Beattie, Atiyeh Ghoreyshi, Allison Shih Wu
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Patent number: 10488527Abstract: Techniques for automatic tracking of user data for exercises are disclosed. In one aspect, a method of operating a wearable device may involve determining, based on output of one or more biometric sensors, that a user of the wearable device has started an exercise and identifying a type of the exercise that the user has started based on comparing the output of the one or more biometric sensors to defined sensor data for a plurality of exercise types. The method may further include adjusting a global positioning system (GPS) receiver in response to determining the start of the exercise and based on the type of the exercise.Type: GrantFiled: May 19, 2016Date of Patent: November 26, 2019Assignee: Fitbit, Inc.Inventors: Subramaniam Venkatraman, Logan Niehaus, Peter Duyan, Shelten Gee Jao Yuen, Timothy M. Roberts, Veera Venkata Sesha Sai Vaddi
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Publication number: 20190163270Abstract: Various embodiments provide a wellness tracking device with integrated electronic components for improving user wellness behaviors in the real world, in which player inputs to an electronic interactive interface element or interactive component are based on sensor data collected via one or more user monitoring devices, the sensor data representing various physical behaviors of the user. In some embodiments, performing certain physical activities or reaching certain wellness goals, as determined by sensors, is required to progress the interactive interface element. In some embodiments, the system is able to determine what a user needs to do (e.g., steps, going to bed) at a certain time in order to reach those wellness goals, and outputs engaging reminders to proactively motivate the user to perform the activities needed to reach the wellness goals.Type: ApplicationFiled: November 27, 2018Publication date: May 30, 2019Inventors: Robert Louis Da Silva, Jonathan Wonwook Kim, Alexandra Constance Yee, Logan Niehaus, Erin Michelle Leong