Walk Assist System for Fall Prevention via Step Height and Lifting Analysis
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Solution Overview
Problem
Existing technologies fail to provide appropriate walk assistance based on a person's walking ability and the height of steps from the floor, leading to a high risk of falls, especially in environments where a decrease in walking ability due to aging or injury increases the likelihood of accidents.
Innovation Solution
An information processing method that acquires lifting information and height information to determine a dangerous level of walking, generating walk assist information to alert users of potential hazards and provide recommendations for improving their walking ability and environment safety.
Engineering Contradictions & Design Principles
Engineering Contradiction Analysis
1Reliability
If existing obstacle detection technology is used, then obstacles can be detected, but walking ability and step height considerations are not provided leading to high fall risk
Solution Approach 1:
The patent introduces an information processing device as an intermediary that receives data from multiple sensors (acceleration sensor, image recognition device, step height measurement device) and processes this information to generate comprehensive walk assist information. This intermediary integrates data from different sources and applies judgment logic to determine dangerous levels, thereby improving fall prevention accuracy without requiring direct complex interaction between all sensor components
Solution Approach 2:
The information processing device performs multiple functions: it processes acceleration sensor data to detect lifting actions, recognizes images to identify steps, measures step height, judges dangerous levels by integrating multiple data sources, and generates comprehensive walk assist information. This multi-functional approach consolidates various detection and analysis tasks into a single system that improves reliability while managing complexity through unified processing
2Measurement precision
If comprehensive sensing data is collected to improve walking assistance accuracy, then fall prevention improves, but information processing complexity increases
Solution Approach 1:
The patent segments the data processing task into distinct functional modules: an acceleration sensor detects lifting actions and generates lifting information, an image recognition device identifies steps, a step height measurement device quantifies step dimensions, and a judgment device integrates these segmented data sources to assess dangerous levels. This segmentation allows each component to specialize in specific measurements, improving overall precision while managing complexity through modular processing
Solution Approach 2:
The system implements feedback by continuously monitoring lifting information, step recognition results, and step height measurements, then using this feedback to generate walk assist information that is output to the user. The judgment device uses feedback from multiple data sources to dynamically assess dangerous levels and adjust walk assist information accordingly, improving measurement precision through iterative processing
Data Source
AI summary
A server acquires, on the basis of sensing data about a person, lifting information indicating a lifting state of a leg of the person, acquires height information indicating a height of a step from a floor in a space where the person moves, determines, on the basis of the lifting information and the height information, a dangerous level of a walk of the person, generates walk assist information in accordance with the dangerous level, and outputs the walk assist information.