Processor Frequency Analysis for Running Walking State Detection
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Solution Overview
Problem
Existing measurement devices struggle to accurately distinguish between running/walking states and other movements, leading to erroneous determinations due to similar acceleration patterns.
Innovation Solution
An information processing device that uses a processor to derive frequency characteristics from acceleration sensor data, determining the running/walking state by satisfying conditions related to specific frequency ranges and intensities, including a maximum intensity frequency and a second largest intensity frequency within predetermined limits.
Engineering Contradictions & Design Principles
Engineering Contradiction Analysis
1Measurement precision
If frequency analysis is used to determine running/walking state, then measurement precision is improved, but device complexity increases
Solution Approach 1:
The determination process is segmented into multiple independent conditions: first condition checks maximum intensity frequency against lower limit, second condition checks whether maximum or second largest intensity frequency falls within the frequency range. This segmentation allows complex frequency analysis to be broken down into manageable, sequential checks that improve precision without overwhelming system complexity
Solution Approach 2:
The system dynamically adjusts determination based on real-time frequency characteristics by evaluating multiple conditions with different frequency thresholds and intensity requirements. The processor adapts the determination logic based on the actual frequency spectrum observed, allowing flexible and accurate state identification while maintaining efficient processing
2Reliability
If multiple determination conditions are applied, then reliability is improved, but processing time increases
Solution Approach 1:
The system performs preliminary frequency analysis to identify the frequency characteristics before applying the multiple determination conditions. By pre-processing the acceleration data to extract frequency spectrum and identify maximum and second largest intensity frequencies, the system prepares the necessary information in advance, allowing rapid evaluation of multiple conditions without excessive processing time
Solution Approach 2:
The system applies exactly the necessary number of conditions (first condition for maximum frequency threshold, second condition for frequency range validation) without over-complicating the logic. This partial action approach ensures sufficient reliability through multiple checks while avoiding unnecessary processing delays from excessive or redundant conditions
Data Source
AI summary
An information processing device includes, at least one processor that derives frequency characteristics of time-series data of a measurement result by an acceleration sensor and determines whether the time-series data indicates a running/walking state in accordance with whether all determination conditions including at least a first condition and a second condition are satisfied, the first condition being a condition that a frequency having maximum intensity in the derived frequency characteristics is equal to or higher than a lower limit frequency set in advance, and the second condition being a condition that at least one of the frequency having the maximum intensity or a frequency having second largest intensity in the frequency characteristics falls within a range equal to or higher than the lower limit frequency and equal to or lower than an upper limit frequency set in advance.