White Cane Separation Detection Using Wrist and Posture Tracking
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Solution Overview
Problem
Existing methods struggle to accurately detect when a visually impaired person drops their white cane and subsequently looks for it, leading to potential accidents and difficulties in providing timely assistance.
Innovation Solution
A detection system using a camera and information processing device to track the position and separation of a person's wrist and the white cane, detecting separation based on distance and posture changes, and notifying authorities when the cane is dropped or being searched for.
Engineering Contradictions & Design Principles
Engineering Contradiction Analysis
1Device complexity
If only acceleration sensors are mounted on a white cane to detect drop, then the device complexity is reduced, but the measurement precision of separation detection deteriorates
Solution Approach 1:
The patent combines multiple detection approaches: acceleration sensors mounted on the white cane are integrated with image recognition technology and posture analysis of the user. This merging of detection methods allows the system to achieve high measurement precision for separation detection while distributing the complexity across multiple components rather than relying on a single complex sensor system.
Solution Approach 2:
The patent introduces an intermediary processing system that analyzes both the acceleration data from sensors and visual data from cameras, then cross-validates these inputs to detect separation events. This intermediary layer reconciles the limited precision of acceleration-only detection with the need for accurate separation detection, reducing false positives while maintaining system complexity at acceptable levels.
2Device complexity
If only acceleration sensors are used to detect white cane separation, then the device complexity is reduced, but the reliability of detection deteriorates due to erroneous detection
Solution Approach 1:
The system implements feedback mechanisms where detection results from acceleration sensors are continuously validated against visual data from image recognition. When acceleration data suggests separation but visual confirmation is absent, the system adjusts its detection threshold or flags the event for review. This feedback loop significantly improves reliability by eliminating erroneous detections while maintaining relatively simple device architecture.
Solution Approach 2:
The patent performs preliminary analysis of acceleration patterns to predict potential separation events before they occur, then prepares the image recognition system to verify these predictions. By taking preliminary action on acceleration data and cross-checking with visual information, the system builds reliability through proactive validation rather than reactive correction, reducing false alarms while keeping device complexity manageable.
3Device complexity
If only acceleration sensors are mounted on the white cane, then the device complexity is reduced, but the ability to detect user posture and looking for accessory deteriorates
Solution Approach 1:
The patent segments the detection function into two parts: acceleration sensors on the white cane detect cane-specific events (drop, separation), while separate image recognition systems detect user posture and behavior. This segmentation allows each component to focus on its specialized detection task, preserving critical information about user state without requiring complex multi-functional sensors, thereby reducing overall device complexity while maintaining information completeness.
Solution Approach 2:
The patent employs image recognition technology that serves multiple functions simultaneously: it detects user posture, identifies when the user is looking for the accessory, and verifies separation events. This multi-functionality eliminates the need for separate sensors for each detection task, reducing device complexity while preventing loss of information about user state and behavior.
Data Source
AI summary
A detection system 100 of the present invention includes a position detection means 121 for detecting position information representing a position of a predetermined part of a person and a position of an accessory in a specific shape held by the person, and a separation detection means 122 for detecting that the accessory is separated from the person based on the position information.