Invention Grant
- Patent Title: Systems and methods of motion detection using dynamic thresholds and data filtering
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Application No.: US15676564Application Date: 2017-08-14
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Publication No.: US10942196B2Publication Date: 2021-03-09
- Inventor: Mark Rajan Malhotra , Gwendolyn van der Linden , Yash Modi , Dongeek Shin
- Applicant: Google Inc.
- Applicant Address: US CA Mountain View
- Assignee: Google Inc.
- Current Assignee: Google Inc.
- Current Assignee Address: US CA Mountain View
- Agency: Butzel Long
- Main IPC: G01P13/00
- IPC: G01P13/00 ; G01P15/00 ; G06K9/00 ; A61B5/00 ; A61B5/11

Abstract:
Systems and methods of detecting human movement with a sensor are provided, including generating a motion event signal in response to movement detected by the sensor, and generating a parameterized curve to represent the detected motion. The parameterized curve is fit to a predetermined window of sensor data captured by the sensor to filter the motion event signal. A noise magnitude estimate and a curve fit error is determined based on the fitted parameterized curve to the predetermined window. A detection threshold value is determined based on the curve fit error, a noise source signal estimate of known noise, and zero or more noise magnitudes from other sources. Human motion is determined by correlating a true motion event signal with human motion based on a comparison between a value of a point on the parameterized curve and the detection threshold value.
Public/Granted literature
- US20190049479A1 SYSTEMS AND METHODS OF MOTION DETECTION USING DYNAMIC THRESHOLDS AND DATA FILTERING Public/Granted day:2019-02-14
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