Gait Estimation Model for Daily Frailty and Fall Risk Screening
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Solution Overview
Problem
Existing methods fail to accurately estimate care-related information, such as frailty and falling risk, based on user gait analysis, particularly in daily life scenarios without the need for motion capture devices.
Innovation Solution
An estimation device that acquires sensor data from footwear-mounted sensors, processes it with an estimation model to estimate care-related information like frailty probability and falling risk, using features extracted from gait patterns and user physical data.
Engineering Contradictions & Design Principles
Engineering Contradiction Analysis
1Measurement precision
If motion capture devices are used to analyze gait, then measurement precision is improved, but device complexity increases
Solution Approach 1:
The patent extracts the essential gait analysis function from complex motion capture devices and implements it using simple footwear-mounted sensors. Only the necessary sensing components are retained in the footwear, while complex processing is moved to a server system, achieving accurate gait analysis without requiring complex on-device hardware.
Solution Approach 2:
The patent introduces a server system as an intermediary between the simple footwear sensors and the gait analysis function. The server performs complex data processing and analysis algorithms, allowing the footwear itself to remain simple while still achieving high measurement precision through sophisticated remote processing.
2Measurement precision
If comprehensive sensor data is collected for accurate frailty estimation, then estimation accuracy is improved, but information processing complexity increases
Solution Approach 1:
The patent segments the data processing task between the footwear device and the server. The footwear collects and transmits raw sensor data, while the server performs the complex frailty estimation calculations. This segmentation allows comprehensive data collection without burdening the simple footwear device with complex processing requirements.
Solution Approach 2:
The patent uses the server to create and store multiple copies of user gait data and frailty estimation results. This allows comprehensive analysis of historical data patterns for accurate frailty tracking over time, while the footwear itself remains simple and only handles data collection and transmission.
3Reliability
If continuous gait monitoring is performed in daily life, then reliability of frailty detection is improved, but user burden increases
Solution Approach 1:
The patent makes the gait monitoring system self-service by automatically collecting data through normal footwear without requiring user intervention. The system passively monitors gait patterns during daily activities and automatically transmits data to the server for analysis, eliminating the need for users to manually operate or maintain the monitoring function.
Solution Approach 2:
The patent makes the footwear sensors multi-functional by using them for both normal footwear purposes and gait monitoring. The same sensors that detect foot movement for walking also capture frailty-related gait patterns, eliminating the need for separate monitoring equipment and maintaining user convenience while enabling continuous reliable detection.
Data Source
AI summary
An estimation device that includes an acquisition unit that acquires sensor data measured in accordance with walking of the user, and physical data of the user, a storage unit that stores an estimation model and the physical data, the estimation model outputting care-related information in response to inputs of a feature quantity extracted from the sensor data and the physical data, an estimation unit that inputs the feature quantity extracted from the sensor data of the user and the physical data into the estimation model to estimate the care-related information of the user, and an output unit that outputs the estimated care-related information of the user.