Dynamic Motion Tracker Frequency Adjustment for Power Optimization
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Solution Overview
Problem
Motion tracking systems face challenges in balancing accuracy and power consumption, as high-frequency measurements increase power usage and data traffic, potentially degrading battery durability and performance, while low-frequency sampling compromises tracking accuracy.
Innovation Solution
A method to dynamically adjust the measurement, digitizing, processing, and transmission frequencies of motion trackers based on predetermined movements and body member locations, using adjustment values to optimize between accuracy, power consumption, and channel congestion.
Engineering Contradictions & Design Principles
Engineering Contradiction Analysis
1Measurement precision
If high-frequency measurements are used to enhance motion tracking accuracy, then measurement precision is improved, but power consumption increases
Solution Approach 1:
The system dynamically adjusts the measurement frequency of motion trackers based on real-time motion activity detection. When motion exceeds a threshold, the system increases sampling frequency to capture accurate motion data; when motion is minimal, it reduces frequency to conserve battery power. This dynamic adaptation resolves the contradiction between maintaining high measurement precision and reducing power consumption.
Solution Approach 2:
The system changes the operational parameters (sampling frequency) of motion trackers based on detected motion levels. By adjusting the frequency parameter upward during active motion and downward during rest periods, the system optimizes the balance between measurement accuracy and energy consumption, directly addressing the technical contradiction.
2Measurement precision
If high-frequency measurements are used to enhance motion tracking accuracy, then measurement precision is improved, but data traffic increases causing channel congestion
Solution Approach 1:
The system dynamically adjusts data transmission frequency based on motion activity. During periods of high motion, it increases transmission frequency to ensure accurate motion capture; during low-motion periods, it reduces transmission frequency to minimize data traffic and prevent channel congestion. This dynamic approach resolves the contradiction between measurement precision and data traffic volume.
3Measurement precision
If high-frequency measurements are used to enhance motion tracking accuracy, then measurement precision is improved, but battery durability deteriorates
Solution Approach 1:
The system implements periodic motion activity assessment to determine appropriate sampling frequencies. Instead of continuously operating at high frequency, it periodically evaluates motion levels and adjusts sampling rates accordingly. This periodic adaptation reduces the cumulative charge/discharge cycles of the battery while maintaining measurement precision during actual motion events, thereby extending battery durability.
Data Source
AI summary
A motion tracking system comprises a computing device and a plurality of motion trackers in communication with the computing device. A user interface provided by the computing device is used to instruct a subject to perform a movement of one or more body members. One or more frequencies of one or more of the plurality of motion trackers is adjusted to reduce a power consumption of at least one of the plurality of motion tracker to thereby reduce a power consumption of the motion tracking system. The one or more frequencies is adjusted based at least in part on the movement which the subject is instructed to perform. The subject is tracked using the plurality of motion trackers of the motion tracking system.