System and method for characterizing biomechanical activity
First Claim
1. A method for personal activity monitoring comprising:
- 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 is a time series signal with values that characterize a biomechanical property during a segment, wherein generating the set of biomechanical signals comprises;
generating a first integration data set through data integration and baseline error correction across the set of segments of the kinematic data stream, anddetermining 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, wherein applying the set of biomechanical signals comprises, at the activity monitoring system, averaging the biomechanical signal values over a window of consecutive segments, wherein a rest period of the activity monitoring device is dynamically set according to a time duration of the activity or the consistency of the biomechanical signals.
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Abstract
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.
92 Citations
17 Claims
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1. A method for personal activity monitoring comprising:
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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 is a time series signal with values that characterize a biomechanical property during a segment, wherein generating the set of biomechanical signals comprises; generating a first integration data set through data integration and baseline error correction across the set of segments of the 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, wherein applying the set of biomechanical signals comprises, at the activity monitoring system, averaging the biomechanical signal values over a window of consecutive segments, wherein a rest period of the activity monitoring device is dynamically set according to a time duration of the activity or the consistency of the biomechanical signals. - View Dependent Claims (2, 3, 4, 5, 6, 7, 8, 9, 10, 11, 12, 13)
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14. A system for tracking activity of a user comprising:
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an activity monitoring device that comprises a housing, an inertial measuring system that collects a set of kinematic data streams, and a signal processor module; wherein the activity monitoring device is configured to; segment the kinematic data streams into a set of segments according to the steps of the user; generate a set of biomechanical signals from the kinematic data streams, wherein a biomechanical signal is a time series signal with values that characterize a biomechanical property during a segment, wherein the activity monitoring device configured to generate the set of biomechanical signals is further configured to; generate a first integration data set through data integration and baseline error correction across the set of segments of the set of kinematic data stream; determine a braking biomechanical signal that is at least partially based on the first integration data set; determine a ground contact time signal at least partially based on the first integration data set and the segmentation; generate a second integration data set through data integration and baseline error correction across the set of segments of data of the first integration data set; and determine a vertical oscillation signal at least partially based on the second integration data set; and apply the set of biomechanical signals to an energy conservation scheme that conserves power consumption of the activity monitoring device; and wherein the activity monitoring device is attachable to a user in the pelvic region. - View Dependent Claims (15, 16, 17)
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Specification