Scratching Detection System Using Acceleration Analysis
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Solution Overview
Problem
Existing scratching detection systems are not capable of accurately detecting scratching behavior, particularly in humans, due to limitations in movement measurement and analysis.
Innovation Solution
A scratching detection system comprising a sensor and a processor that detects acceleration corresponding to hand movement, outputs a signal with detected values, and uses multiple parameters such as occurrence count and consecutive count to accurately identify scratching behavior.
Engineering Contradictions & Design Principles
Engineering Contradiction Analysis
1Measurement precision
If simple movement measurement is used to monitor itchiness, then the system is easy to operate, but the measurement precision is insufficient
Solution Approach 1:
The patent segments the scratching detection process into multiple independent parameters: occurrence count (how many times acceleration exceeds threshold), consecutive count (maximum continuous exceedances), and cycle-based analysis. Each parameter is calculated separately and then integrated to improve overall detection accuracy without requiring complex hardware modifications.
Solution Approach 2:
The patent changes the analytical parameters from simple movement detection to multi-dimensional acceleration analysis. By introducing occurrence count, consecutive count, and cycle-based parameter calculations, the system transforms raw acceleration data into meaningful behavioral indicators, significantly improving scratching detection precision.
2Measurement precision
If multiple parameters are used to detect scratching behavior, then the measurement precision improves, but the calculation complexity increases
Solution Approach 1:
The patent divides the analysis into discrete, manageable segments: first cycle signal acquisition, threshold comparison operations, occurrence count calculation, consecutive count determination, and second cycle integration. This segmentation makes the complex multi-parameter analysis systematically manageable and computationally efficient.
Solution Approach 2:
The system uses the acceleration signal itself to generate all necessary parameters without external intervention. The occurrence count, consecutive count, and cycle parameters are all derived automatically from the raw sensor data through predefined algorithms, reducing the need for complex external analysis tools.
3Measurement precision
If acceleration-based movement detection is used, then the device complexity remains low, but the measurement precision for scratching behavior is insufficient
Solution Approach 1:
The patent transforms simple acceleration magnitude detection into sophisticated scratching behavior analysis by introducing cycle-based parameters, occurrence counts, and consecutive count metrics. These parameter transformations extract meaningful behavioral patterns from basic acceleration data, achieving high precision with minimal hardware complexity.
Solution Approach 2:
The patent replaces complex mechanical or optical scratching detection mechanisms with simple acceleration sensing combined with sophisticated signal analysis. The accelerometer-based system, when paired with multi-parameter computational analysis, substitutes for more complex mechanical switches, pressure sensors, or visual monitoring systems.
Applied Scientific Principles
This section explains which scientific principles are used to turn an abstract innovation direction into a practical engineering solution.
Function Achieved in This Case
The system effectively enhances the accuracy of scratching behavior detection, allowing for more reliable monitoring and analysis of scratching activities.
Implementation Method 1
a sensor configured to detect an acceleration corresponding to a movement of a hand of a person
Data Source
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AI summary
[Technical Problem] Embodiments provide a scratching detection system in which scratching behavior can be more accurately detected. [Solution to Problem] According to an embodiment, a scratching detection system includes a sensor, and a processor. The sensor is configured to detect an acceleration corresponding to a movement of a hand of a person and is configured to output a first signal including a detected value corresponding to the acceleration in a first cycle. The processor is configured to acquire the first signal and to detect an existence or absence of a scratching behavior of the person in a second cycle based on a plurality of parameters. The second cycle includes a plurality of the first intervals. The plurality of parameters includes a first occurrence count and a first consecutive count. The first occurrence count is a number of times that an absolute value of the detected value exceeds a threshold value in the second cycle. The first consecutive count is a maximum value of a number of times that the absolute value of the detected value consecutively exceeds the threshold value in the second cycle.