Velocity Data Correction for Left-Right Movement in Wearables
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Solution Overview
Problem
Existing exercise data acquisition systems face challenges in precisely and stably calculating left-right movement due to measurement errors and integration drift, making it difficult to accurately analyze running form and movement.
Innovation Solution
An electronic device that acquires acceleration data from a sensor and corrects velocity data using error calculations based on average values from multiple two-step cycles, thereby stabilizing the calculation of left-right movement.
Engineering Contradictions & Design Principles
Engineering Contradiction Analysis
1Measurement precision
If velocity data is derived by integrating acceleration data, then velocity information can be obtained from acceleration measurements, but integration drift causes error accumulation and reduces calculation stability
Solution Approach 1:
The patent applies feedback by calculating the average velocity over a two-step cycle and using this average as a reference to correct instantaneous velocity values. The correction amount is determined by the difference between the instantaneous velocity and the cycle average, creating a closed-loop feedback mechanism that continuously reduces integration drift and stabilizes the velocity calculation.
Solution Approach 2:
The patent implements periodic action by organizing the correction process around a two-step cycle period. Velocity data is corrected at regular intervals corresponding to complete two-step cycles, and the correction amount is derived from averaging velocity over this periodic interval. This periodic correction approach prevents error accumulation and maintains calculation stability throughout the measurement period.
2Loss of information
If measurement data is processed to obtain derived data, then useful information can be extracted, but measurement errors and direction estimation inaccuracies accumulate and reduce precision
Solution Approach 1:
The system uses feedback by comparing the derived velocity data against the averaged cycle velocity and applying corrections based on the discrepancy. This feedback mechanism prevents error accumulation by continuously adjusting the derived data to match the more stable averaged measurement, thereby maintaining high data quality and precision in the final left-right movement calculation.
Solution Approach 2:
The averaged velocity over the two-step cycle serves as an intermediary reference value between the noisy instantaneous velocity measurements and the final corrected velocity data. This intermediary average acts as a stabilizing element that filters out measurement errors and direction estimation inaccuracies, allowing the system to derive accurate left-right movement information without error accumulation.
Data Source
AI summary
An electronic device includes a controller that acquires, from an acceleration sensor, acceleration data corresponding to a motion state in a body-lateral direction orthogonal to a body axis of a user that is moving by legs of the user, and; derives velocity data based on the acceleration data and, also, derives an error of the velocity data based on an average value of the velocity data of a period that is a multiple of a first two-step cycle and an average value of the velocity data of a period that is a multiple of a second two-step cycle that directly precedes or follows the period that is a multiple of the first two-step cycle, and corrects the velocity data using the error of the velocity data to generate corrected velocity data.