Load Sensor Data Segmentation for User Identification
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Solution Overview
Problem
Personal identification systems require significant data processing for feature extraction, necessitating a reduction in the amount of data used for identification.
Innovation Solution
An information processing device that acquires first load information from a sole-mounted load measurement device and second load information from a device between the toe and the sole, extracting feature amounts for user identification using these measurements.
Engineering Contradictions & Design Principles
Engineering Contradiction Analysis
1Measurement precision
If personal identification is performed using load distribution data from multiple sensors, then identification accuracy is improved, but the amount of data to be processed increases
Solution Approach 1:
The patent divides the load measurement data into two distinct segments: first load information from a first load measurement device and second load information from a second load measurement device. This segmentation allows the system to process divided data sets rather than a single large data set, reducing overall data processing complexity while maintaining identification accuracy through the combined use of both segments
Solution Approach 2:
The patent extracts only the essential load information needed for personal identification from the sensor data. By taking out and processing only the relevant first and second load information rather than all available sensor data, the system reduces the amount of data to be processed while still achieving accurate personal identification through feature extraction from this condensed data set
Data Source
AI summary
Provided is an information processing device including an acquisition unit configured to acquire first load information measured by a first load measurement device provided on a sole of a user and second load information measured by a second load measurement device provided between a toe of the sole and the first load measurement device and a feature amount extracting unit configured to extract a feature amount used for identifying the user based on the first load information and the second load information.