In-Shoe Gait Sensor Analysis for Passive Health Assessment
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Solution Overview
Problem
Current personal and population-based analytics systems for health, wellness, and fitness are invasive, cumbersome, and limited in scope, making them unsuitable for widespread use.
Innovation Solution
A sensor module with multiple sensors placed inside a user's shoe collects biometric data to generate loops, which are compared against stored data to assess movement and mobility, allowing for non-invasive, user-friendly analysis of health and fitness conditions.
Engineering Contradictions & Design Principles
Engineering Contradiction Analysis
1Measurement precision
If AI, machine learning and controlled software algorithms are used for diagnosis, then measurement precision is improved, but device complexity increases
Solution Approach 1:
The patent extracts only the essential gait parameters needed for diagnosis from complex medical data, using simple sensors to capture stride length, cadence, and gait symmetry. This extraction approach maintains diagnostic precision while avoiding the complexity of full AI systems.
Solution Approach 2:
The system creates simplified copies of medical diagnostic capabilities through rule-based algorithms that replicate essential diagnostic functions without requiring complex machine learning models. Gait pattern templates serve as simplified representations of complex medical knowledge.
2Ease of operation
If question and answer systems are used for health assessment, then ease of operation is improved, but measurement precision deteriorates
Solution Approach 1:
The system performs automatic gait analysis without requiring user intervention or knowledge. Sensors automatically capture gait data and the system independently processes the information, eliminating the need for user participation while maintaining high measurement precision through objective biomechanical measurements.
3Measurement precision
If current analytical systems are deployed, then measurement precision is improved, but ease of operation deteriorates
Solution Approach 1:
The patent replaces complex mechanical and software systems with simple pressure-sensitive sensors in insoles. These sensors automatically detect gait parameters without requiring user operation, making the system as easy to use as wearing shoes while maintaining precise biomarker detection through automated biomechanical analysis.
Data Source
AI summary
Systems and methods for diagnosing a user's condition based on his gait. A sensor module with multiple sensors is placed inside a user's shoe and biometric data is gathered from the sensors when the user takes a step or walks. The data is used to generate loops as the various sets of data is plotted against each other. The loops obtained from the data are then compared against stored loops previously obtained. Based on the results of the comparison, the user's condition is diagnosed using predetermined indicators of specific health issues. Using the biometric data and in conjunction with data from various databases, it can be determined whether the user has a specific condition, whether a specific condition is worsening, or whether a specific condition is improving.