Satellite Receiver Local Motion Trajectory Estimation
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Solution Overview
Problem
Current methods for estimating local motion during physical exercises, such as arm or leg motion relative to the overall body motion, are limited by the accuracy and reliability of motion sensors like accelerometers and gyroscopes, which can be prone to inaccuracies and require calibration.
Innovation Solution
The use of satellite positioning data from receivers attached to the human body to acquire local and overall motion data, allowing for the determination of local motion trajectories by extracting and processing satellite positioning data to differentiate between body and reference point motions.
Engineering Contradictions & Design Principles
Engineering Contradiction Analysis
1Measurement precision
If motion sensors such as accelerometers and gyroscopes are used to measure local motion, then local motion can be estimated, but the accuracy and reliability are limited due to sensor inaccuracies and calibration requirements
Solution Approach 1:
The patent replaces mechanical motion sensors (accelerometers and gyroscopes) with a satellite positioning receiver system. Instead of using mechanical sensors that are prone to drift and require calibration, the invention uses satellite positioning data to calculate motion trajectories, thereby eliminating the reliability issues associated with mechanical sensor calibration and drift over time
Solution Approach 2:
The patent introduces satellite positioning data as an intermediary to indirectly measure local motion. Rather than directly measuring acceleration and rotation with physical sensors, the system uses satellite positioning coordinates as an intermediary to derive velocity and position information, which then allows calculation of local motion relative to the center of mass
2Measurement precision
If satellite positioning data is used to estimate local motion, then accurate and reliable local motion trajectory estimation is achieved, but the complexity of data processing increases
Solution Approach 1:
The patent segments the motion analysis into distinct components: overall motion of the center of mass and local motion of body parts. By separating these components and processing satellite positioning data to first determine center of mass trajectory and then calculating relative local motion, the system manages complexity through structured data segmentation and hierarchical processing
Data Source
AI summary
A solution for estimating motion of a user is disclosed. A method comprises: acquiring satellite positioning data received with a satellite positioning receiver attached to a human body and indicating a location of the satellite positioning receiver; extracting, from the satellite positioning data, local motion data representing local motion of the satellite positioning receiver with respect to a reference point and overall motion data representing the motion of the reference point, wherein the reference point is included in a framework of the human body; and determining, from the local motion data, a local motion trajectory of a part of a human body to which the satellite positioning receiver is attached with respect to the reference point.