Wearable Gait Detection Device for Brain Manifestation Monitoring
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Solution Overview
Problem
Existing methods for detecting dementia and cerebellar dysfunction through gait analysis are insufficient in promptly identifying brain manifestations and providing timely feedback for symptom suppression or recovery.
Innovation Solution
A wearable gait detection device equipped with load measurement, foot movement detection, centroid position calculation, movement locus calculation, manifestation recognition, and sensory output components, which provides feedback to the wearer upon detecting gait disorders caused by brain manifestations, and includes an object detection system to prevent falls.
Engineering Contradictions & Design Principles
Engineering Contradiction Analysis
1Measurement precision
If gait detection is performed using existing sensor methods (acceleration sensors, floor reaction sensors), then basic walking state data can be collected, but the system cannot promptly detect brain manifestations such as dementia or cerebellar dysfunction
Solution Approach 1:
The patent divides the gait detection function into multiple specialized sensor components: load measurement parts in the shoe soles, foot movement detection parts (acceleration/angular velocity sensors), and object detection parts. Each component focuses on specific aspects of gait analysis, enabling precise detection of centroid fluctuations and movement loci that indicate brain manifestations without requiring a single complex sensor system
Solution Approach 2:
The wearable gait detection device integrates multiple detection functions into a unified system that can detect both general gait parameters and specific brain manifestation indicators. The system serves dual purposes: monitoring daily walking patterns and detecting early signs of dementia or cerebellar dysfunction through centroid position analysis, making the device versatile for both fitness tracking and medical diagnostics
2Loss of information
If gait abnormalities are detected, then information about potential brain issues can be identified, but timely feedback to the subject is not provided to suppress symptom progression
Solution Approach 1:
The patent implements a feedback mechanism where the wearable gait detection device continuously monitors centroid positions and movement loci, compares them against normal patterns, and provides timely information about detected abnormalities. This feedback loop enables prompt notification of brain manifestation signs, allowing for early intervention before symptoms progress, while integrating seamlessly into the existing detection framework without requiring separate complex feedback infrastructure
3Measurement precision
If multiple sensors are installed in shoes for comprehensive gait analysis, then detection capability is improved, but device weight and wearer comfort deteriorate
Solution Approach 1:
The patent extracts only the essential sensing functions needed for brain manifestation detection: load measurement and foot movement detection. By removing unnecessary sensor components and focusing on the critical parameters (centroid position, movement locus), the system achieves high detection accuracy while minimizing the weight added to the shoes, thereby maintaining wearer comfort
Data Source
AI summary
A wearable gait detection device, a walking ability improvement system and a wearable gait detection system detect manifestation in a brain based on the wearer's gait and preventive measures. A load measurement part measures a load of a sole of the wearer's feet, a foot movement detection part at the shoes detects acceleration and/or angular velocity during feet movement, a centroid position calculation part calculates a centroid position of the feet based on changes in measured load, a movement locus calculation part calculates a movement locus of the feet based on acceleration and/or angular velocity detected by the foot movement detection part, a manifestation recognition part recognizes manifestation in the brain according to a specificity of centroid fluctuation of the feet based on the calculated centroid position and movement locus of the feet, and a sensory output part feeds back a sensation to the wearer based on a recognition result.