Gait Measurement Device Interpolation Unit Data Gap Handling
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Solution Overview
Problem
Existing gait measurement devices lose acceleration data during non-logging periods, leading to decreased accuracy in gait parameter calculations as the number of steps increases.
Innovation Solution
A gait measurement device that includes an acquisition unit for sensor data, an interpolation unit to fill data gaps, a calculation unit to compute gait parameters using interpolated data, and a transmission unit to send these parameters.
Engineering Contradictions & Design Principles
Engineering Contradiction Analysis
1Productivity
If the control unit acquires acceleration data only during logging periods, then data processing efficiency is improved, but measurement precision deteriorates due to data loss
Solution Approach 1:
The system performs preliminary actions by storing metadata information (logging period timing, sampling interval, number of steps) during non-logging periods, enabling subsequent reconstruction of acceleration data without actually acquiring continuous data. This preliminary metadata storage allows the system to maintain processing efficiency while ensuring measurement completeness.
Solution Approach 2:
The system introduces an intermediary approach by using metadata (timing information, sampling intervals, step counts) as a mediator to represent the missing acceleration data during non-logging periods. Instead of directly acquiring continuous acceleration data, the system uses these intermediary parameters to reconstruct the full gait cycle information, resolving the contradiction between efficient processing and complete measurement.
2Loss of substance
If the sampling interval is extended to reduce data quantity, then loss of substance is reduced, but measurement precision deteriorates
Solution Approach 1:
The system segments the data acquisition process into logging periods and non-logging periods, with different data handling strategies for each segment. During logging periods, full acceleration data is acquired; during non-logging periods, only essential metadata is stored. This segmentation allows the system to reduce overall data quantity while maintaining measurement precision through selective data collection and subsequent synthesis.
Solution Approach 2:
The system changes parameters by storing metadata (sampling interval, number of steps, timing information) instead of continuous acceleration data during non-logging periods. This parameter transformation reduces data substance significantly while preserving the essential information needed for accurate gait parameter calculation, as the metadata enables precise reconstruction of the gait cycle characteristics.
Data Source
AI summary
Provided is a gait measurement device that includes an acquisition unit that acquires sensor data related to a motion of a foot, an interpolation unit that interpolates interpolation data into a period in which the sensor data is lost, a calculation unit that calculates a gait parameter by using the sensor data obtained by interpolating the interpolation data by the interpolation unit, and a transmission unit that transmits the gait parameter calculated by the calculation unit.


