Biometric Calibration via Dynamic Environment Adaptation
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Solution Overview
Problem
Existing biometric data calibration methods, such as those used in facilities like hospitals and homes, rely on constant calibration values that fail to accurately account for environmental differences, requiring stationary measurements which are impractical for evaluating exercise functions like walking.
Innovation Solution
A biometric information processing device that extracts daily measurement values of common items from sensor data and corrects facility measurement values based on these daily values, allowing for accurate calibration across different environments.
Engineering Contradictions & Design Principles
Engineering Contradiction Analysis
1Device complexity
If biometric data is calibrated with a constant calibration value in different environments, then the calibration process is simple, but the measurement precision deteriorates because the constant value cannot account for environmental differences
Solution Approach 1:
The calibration value is transformed from a static constant to a dynamic value that changes based on environmental conditions. The system calculates calibration values separately for facility environments and daily life environments, allowing the calibration to adapt to the specific measurement context rather than using a single fixed value across all situations.
Solution Approach 2:
The system changes the calibration parameter based on the measurement environment. By identifying whether the measurement occurs in a facility or daily life setting, the system selects or calculates the appropriate calibration value for that environment, thereby improving measurement precision without significantly complicating the overall process.
2Measurement precision
If the body is kept stationary to maintain constant measurement environment, then measurement precision improves, but the ease of operation deteriorates because it is impractical for evaluating exercise functions like walking
Solution Approach 1:
Instead of requiring the body to remain stationary, the system changes the environmental parameter (facility vs. daily life setting) as the basis for calibration. This allows measurements to be taken during natural movements like walking while still maintaining accuracy by selecting the appropriate calibration value for the current environment.
3Productivity
If facility measurement data is used directly without correction, then the measurement process is straightforward, but the reliability deteriorates because the data does not reflect the original exercise function in daily life
Solution Approach 1:
The system replaces the need for physical repositioning or complex adjustment mechanisms with a computational approach. By using environment-based calibration value selection and calculation, the system automatically adjusts the data to reflect daily life conditions without requiring physical changes to the measurement setup or subject behavior.
Data Source
AI summary
A biometric information processing device includes an extraction unit that extracts a daily measurement value of a common measurement item common to facility measurement data measured in a facility from daily measurement data measured using the sensor data regarding movement of a foot of a user, and a correction unit that corrects a facility measurement value of the common measurement item stored in advance based on the extracted daily measurement value of the common measurement item.