Patents by Inventor Andreas Martin Hauenstein
Andreas Martin Hauenstein 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: 10959647Abstract: A system and method for utilizing an activity monitoring device that includes, during a set of initial activity sessions, collecting the kinematic data from an activity monitoring device and generating a temporal record of at least one biomechanical signal that is calculated from the kinematic data; analyzing temporal changes in the biomechanical signals during the initial activity sessions and characterizing a fatigue model; and, during a subsequent activity session collecting current kinematic data of a participant and generating at least one current biomechanical signal from the current kinematic data, monitoring the fatigue state through processing the at least one current biomechanical signal according to the fatigue model, and triggering feedback in a user interface based on the fatigue state.Type: GrantFiled: December 26, 2016Date of Patent: March 30, 2021Assignee: SEISMIC HOLDINGS, INC.Inventors: Andrew Robert Chang, Andreas Martin Hauenstein, Daniel Ly, Ray Franklin Cowan, Rebecca Shultz
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Publication number: 20200046263Abstract: A system and method for collecting a set of kinematic data streams from an activity tracking system with at least one activity monitoring system that is attached to a user; segmenting at least a subset of the kinematic data streams into a set of segments according to actions of the user; generating a set of biomechanical signals from the kinematic data streams wherein a biomechanical signal characterize a biomechanical property during a segment and includes generating a first integration data set through data integration and baseline error correction across the set of segments of the normalized kinematic data stream and determining at least a first biomechanical signal that is at least partially based on the first integration data set; and applying the set of biomechanical signals.Type: ApplicationFiled: May 23, 2019Publication date: February 13, 2020Inventors: Andreas Martin Hauenstein, Ray Franklin Cowan, Andrew Robert Chang
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Publication number: 20200015713Abstract: A system and method are described herein for a sensor device which biomechanically detects in real-time a user's movement state and posture and then provides real-time feedback to the user based on the user's real-time posture. The feedback is provided through immediate sensory feedback through the sensor device (e.g., a sound or vibration) as well as through an avatar within an associated application with which the sensor device communicates. The sensor device detects the user's movement state and posture by capturing data from a tri-axial accelerometer in the sensor device. Streamed data from the accelerometer is normalized to correct for sensor errors as well as variations in sensor placement and orientation. Normalization is based on accelerometer data collected while the user is wearing the device and performing specific actions.Type: ApplicationFiled: April 26, 2019Publication date: January 16, 2020Inventors: Andrew Robert Chang, Andreas Martin Hauenstein, Monisha Perkash, C. Charles Wang
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Patent number: 10314520Abstract: A system and method for collecting a set of kinematic data streams from an activity tracking system with at least one activity monitoring system that is attached to a user; segmenting at least a subset of the kinematic data streams into a set of segments according to actions of the user; generating a set of biomechanical signals from the kinematic data streams wherein a biomechanical signal characterize a biomechanical property during a segment and includes generating a first integration data set through data integration and baseline error correction across the set of segments of the normalized kinematic data stream and determining at least a first biomechanical signal that is at least partially based on the first integration data set; and applying the set of biomechanical signals.Type: GrantFiled: September 30, 2016Date of Patent: June 11, 2019Assignee: SEISMIC HOLDINGS, INC.Inventors: Andreas Martin Hauenstein, Ray Franklin Cowan, Andrew Robert Chang
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Patent number: 10271773Abstract: A system and method are described herein for a sensor device which biomechanically detects in real-time a user's movement state and posture and then provides real-time feedback to the user based on the user's real-time posture. The feedback is provided through immediate sensory feedback through the sensor device (e.g., a sound or vibration) as well as through an avatar within an associated application with which the sensor device communicates. The sensor device detects the user's movement state and posture by capturing data from a tri-axial accelerometer in the sensor device. Streamed data from the accelerometer is normalized to correct for sensor errors as well as variations in sensor placement and orientation. Normalization is based on accelerometer data collected while the user is wearing the device and performing specific actions.Type: GrantFiled: February 28, 2018Date of Patent: April 30, 2019Assignee: SEISMIC HOLDINGS, INC.Inventors: Andrew Robert Chang, Monisha Perkash, C. Charles Wang, Andreas Martin Hauenstein
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Patent number: 10276020Abstract: A system and method are described herein for a sensor device which biomechanically detects in real-time a user's movement state and posture and then provides real-time feedback to the user based on the user's real-time posture. The feedback is provided through immediate sensory feedback through the sensor device (e.g., a sound or vibration) as well as through an avatar within an associated application with which the sensor device communicates.Type: GrantFiled: February 28, 2018Date of Patent: April 30, 2019Assignee: SEISMIC HOLDINGS, INC.Inventors: Andrew Robert Chang, Monisha Perkash, Chung-Che Charles Wang, Andreas Martin Hauenstein
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Publication number: 20180249931Abstract: A system and method are described herein for a sensor device which biomechanically detects in real-time a user's movement state and posture and then provides real-time feedback to the user based on the user's real-time posture. The feedback is provided through immediate sensory feedback through the sensor device (e.g., a sound or vibration) as well as through an avatar within an associated application with which the sensor device communicates. The sensor device detects the user's movement state and posture by capturing data from a tri-axial accelerometer in the sensor device. Streamed data from the accelerometer is normalized to correct for sensor errors as well as variations in sensor placement and orientation. Normalization is based on accelerometer data collected while the user is wearing the device and performing specific actions.Type: ApplicationFiled: February 28, 2018Publication date: September 6, 2018Inventors: Andrew Robert Chang, Monisha Perkash, C. Charles Wang, Andreas Martin Hauenstein
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Publication number: 20180190099Abstract: A system and method are described herein for a sensor device which biomechanically detects in real-time a user's movement state and posture and then provides real-time feedback to the user based on the user's real-time posture. The feedback is provided through immediate sensory feedback through the sensor device (e.g., a sound or vibration) as well as through an avatar within an associated application with which the sensor device communicates.Type: ApplicationFiled: February 28, 2018Publication date: July 5, 2018Inventors: Andrew Robert Chang, Monisha Perkash, Chung-Che Charles Wang, Andreas Martin Hauenstein
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Patent number: 9936900Abstract: A system and method are described herein for a sensor device which biomechanically detects in real-time a user's movement state and posture and then provides real-time feedback to the user based on the user's real-time posture. The feedback is provided through immediate sensory feedback through the sensor device (e.g., a sound or vibration) as well as through an avatar within an associated application with which the sensor device communicates. The sensor device detects the user's movement state and posture by capturing data from a tri-axial accelerometer in the sensor device. Streamed data from the accelerometer is normalized to correct for sensor errors as well as variations in sensor placement and orientation. Normalization is based on accelerometer data collected while the user is wearing the device and performing specific actions.Type: GrantFiled: December 1, 2016Date of Patent: April 10, 2018Assignee: Lumo BodyTech, IncInventors: Andrew Robert Chang, Monisha Perkash, C. Charles Wang, Andreas Martin Hauenstein
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Patent number: 9940811Abstract: A system and method are described herein for a sensor device which biomechanically detects in real-time a user's movement state and posture and then provides real-time feedback to the user based on the user's real-time posture. The feedback is provided through immediate sensory feedback through the sensor device (e.g., a sound or vibration) as well as through an avatar within an associated application with which the sensor device communicates.Type: GrantFiled: November 1, 2016Date of Patent: April 10, 2018Assignee: Lumo BodyTech, IncInventors: Andrew Robert Chang, Monisha Perkash, Chung-Che Charles Wang, Andreas Martin Hauenstein
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Publication number: 20170258374Abstract: A system and method for posture feedback can include collecting kinematic data by an activity monitoring device coupled to a user; calibrating the kinematic data to a base walking orientation of the activity monitoring device, which comprises: detecting a walking activity state through the kinematic data, and when a walking activity state is detected, generating the base walking orientation from kinematic data; setting a posture correction factor; measuring user posture with the calibrated kinematic data; triggering posture feedback based on the user posture adjusted by the posture correction factor.Type: ApplicationFiled: March 9, 2017Publication date: September 14, 2017Inventors: Daniel Ly, Andreas Martin Hauenstein, Chung-Che Charles Wang, Andrew Robert Chang
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Publication number: 20170188894Abstract: A system and method for utilizing an activity monitoring device that includes, during a set of initial activity sessions, collecting the kinematic data from an activity monitoring device and generating a temporal record of at least one biomechanical signal that is calculated from the kinematic data; analyzing temporal changes in the biomechanical signals during the initial activity sessions and characterizing a fatigue model; and, during a subsequent activity session collecting current kinematic data of a participant and generating at least one current biomechanical signal from the current kinematic data, monitoring the fatigue state through processing the at least one current biomechanical signal according to the fatigue model, and triggering feedback in a user interface based on the fatigue state.Type: ApplicationFiled: December 26, 2016Publication date: July 6, 2017Inventors: Andrew Robert Chang, Andreas Martin Hauenstein, Daniel Ly, Ray Franklin Cowan, Rebecca Shultz
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Publication number: 20170135611Abstract: A system and method are described herein for detecting a user's transition between sitting and standing postures. Transitions between sitting and standing states are reliably detected using an accelerometer attached to the user. By modeling error introduced by the accelerometer, and correcting for this error, transitions between sitting and standing states are reliably detected. A microprocessor coupled to the accelerometer converts the captured accelerometer data to approximate vertical acceleration. Vertical velocity, which includes accelerometer error, is determined from the approximate vertical acceleration. The vertical velocity is corrected, and the corrected vertical velocity used to determine vertical displacement. Transitions between sitting and standing states are determined from the vertical displacement.Type: ApplicationFiled: January 31, 2017Publication date: May 18, 2017Inventors: Andrew Robert Chang, Andreas Martin Hauenstein
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Publication number: 20170095181Abstract: A system and method for collecting a set of kinematic data streams from an activity tracking system with at least one activity monitoring system that is attached to a user; segmenting at least a subset of the kinematic data streams into a set of segments according to actions of the user; generating a set of biomechanical signals from the kinematic data streams wherein a biomechanical signal characterize a biomechanical property during a segment and includes generating a first integration data set through data integration and baseline error correction across the set of segments of the normalized kinematic data stream and determining at least a first biomechanical signal that is at least partially based on the first integration data set; and applying the set of biomechanical signals.Type: ApplicationFiled: September 30, 2016Publication date: April 6, 2017Inventors: Andreas Martin Hauenstein, Ray Franklin Cowan, Andrew Robert Chang
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Publication number: 20170095693Abstract: A system and method for customizing biomechanical wearable sensors can include a customizable biomechanical processing layer, activity model layer, and/or device communication and processing management. The system and method can include monitoring biomechanical signals at a first set of wearable sensors configured in an initial biomechanical processing configuration; selecting a configuration option for the first set of wearable sensors; delivering the configuration option to the at least one wearable sensor; and monitoring biomechanical signals according to an altered biomechanical processing configuration that is altered according to the configuration option.Type: ApplicationFiled: October 3, 2016Publication date: April 6, 2017Inventors: Andrew Robert Chang, Andreas Martin Hauenstein, Supriya Kher, Dennis William Bohm
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Publication number: 20170095692Abstract: A system and method for tracking running activity that includes an activity monitor device with an inertial measurement system, a communication module, a processor configured to generate a set of biomechanical signals from kinematic data collected from the inertial measurement system, a housing that internally contains the inertial measurement system, the communication module, and the processor, and an electrical interface exposed on the external side of the housing; and a user application operable on a second computing device distinct from the activity monitor device; wherein communication and generation of biomechanical signals are operable in many modes.Type: ApplicationFiled: September 30, 2016Publication date: April 6, 2017Inventors: Andrew Robert Chang, Chung-Che Charles Wang, Andreas Martin Hauenstein, Dennis William Bohm
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Publication number: 20170079562Abstract: A system and method are described herein for a sensor device which biomechanically detects in real-time a user's movement state and posture and then provides real-time feedback to the user based on the user's real-time posture. The feedback is provided through immediate sensory feedback through the sensor device (e.g., a sound or vibration) as well as through an avatar within an associated application with which the sensor device communicates. The sensor device detects the user's movement state and posture by capturing data from a tri-axial accelerometer in the sensor device. Streamed data from the accelerometer is normalized to correct for sensor errors as well as variations in sensor placement and orientation. Normalization is based on accelerometer data collected while the user is wearing the device and performing specific actions.Type: ApplicationFiled: December 1, 2016Publication date: March 23, 2017Inventors: Andrew Robert Chang, Monisha Perkash, C. Charles Wang, Andreas Martin Hauenstein
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Patent number: 9591996Abstract: A system and method are described herein for detecting a user's transition between sitting and standing postures. Transitions between sitting and standing states are reliably detected using an accelerometer attached to the user. By modeling error introduced by the accelerometer, and correcting for this error, transitions between sitting and standing states are reliably detected. A microprocessor coupled to the accelerometer converts the captured accelerometer data to approximate vertical acceleration. Vertical velocity, which includes accelerometer error, is determined from the approximate vertical acceleration. The vertical velocity is corrected, and the corrected vertical velocity used to determine vertical displacement. Transitions between sitting and standing states are determined from the vertical displacement.Type: GrantFiled: June 7, 2013Date of Patent: March 14, 2017Assignee: Lumo BodyTech, IncInventors: Andrew Robert Chang, Andreas Martin Hauenstein
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Publication number: 20170053511Abstract: A system and method are described herein for a sensor device which biomechanically detects in real-time a user's movement state and posture and then provides real-time feedback to the user based on the user's real-time posture. The feedback is provided through immediate sensory feedback through the sensor device (e.g., a sound or vibration) as well as through an avatar within an associated application with which the sensor device communicates.Type: ApplicationFiled: November 1, 2016Publication date: February 23, 2017Inventors: Andrew Robert Chang, Monisha Perkash, Chung-Che Charles Wang, Andreas Martin Hauenstein
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Patent number: 9541994Abstract: A system and method are described herein for a sensor device which biomechanically detects in real-time a user's movement state and posture and then provides real-time feedback to the user based on the user's real-time posture. The feedback is provided through immediate sensory feedback through the sensor device (e.g., a sound or vibration) as well as through an avatar within an associated application with which the sensor device communicates. The sensor device detects the user's movement state and posture by capturing data from a tri-axial accelerometer in the sensor device. Streamed data from the accelerometer is normalized to correct for sensor errors as well as variations in sensor placement and orientation. Normalization is based on accelerometer data collected while the user is wearing the device and performing specific actions.Type: GrantFiled: July 31, 2015Date of Patent: January 10, 2017Assignee: Lumo BodyTech, IncInventors: Andrew Robert Chang, Monisha Perkash, C. Charles Wang, Andreas Martin Hauenstein