Body Sway Spectrum Analysis for Precise Posture State Detection
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Solution Overview
Problem
Existing methods for determining the state of a person's body are not precise and complex, making it difficult to accurately assess conditions such as fatigue or maintain posture in real-time.
Innovation Solution
A determination device that includes a sway detector to measure sway data, performing spectrum analysis to identify frequency components and determine the state of a person's body based on first, second, and third peaks, and a controller to analyze these peaks for precise determination.
Engineering Contradictions & Design Principles
Engineering Contradiction Analysis
1Measurement precision
If conventional methods are used to detect body state, then the detection can be performed, but the precision is insufficient and the method is complex
Solution Approach 1:
The patent segments the body sway detection into three distinct frequency components (first peak: 0.5-2Hz for whole body, second peak: 2-5Hz for upper body, third peak: 5-10Hz for head), allowing precise measurement of different body parts independently. This segmentation enables accurate detection of fatigue states by analyzing each frequency component separately rather than treating body sway as a single complex signal.
Solution Approach 2:
The patent utilizes mechanical vibration analysis by detecting the natural frequency of body sway at different levels. The sway detector measures acceleration data, and the controller performs frequency analysis to identify characteristic vibration frequencies corresponding to different body segments. This approach converts complex body movement into measurable vibration signals that reveal fatigue states through their frequency characteristics.
2Measurement precision
If multiple parameters are monitored to improve determination accuracy, then the precision improves, but the device complexity increases
Solution Approach 1:
The patent extracts only the essential frequency components (three specific peaks) from the complex acceleration signal that are most indicative of fatigue. By focusing on these specific frequency ranges rather than analyzing the entire spectrum or multiple unrelated parameters, the system achieves high determination accuracy with a relatively simple processing approach. The controller extracts and compares these key frequency characteristics to determine fatigue states.
Solution Approach 2:
The patent changes the parameter being measured from general body movement to specific frequency components of body sway. By transforming the acceleration data into frequency domain analysis and focusing on the three characteristic peaks, the system converts a complex multi-dimensional problem into a simpler comparison of frequency parameters. This parameter transformation enables accurate fatigue detection through straightforward frequency ratio comparisons.
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
Enables precise and simpler determination of a person's state, particularly in assessing fatigue levels and maintaining posture, by utilizing stable resonation of the body's centers of gravity.
Implementation Method 1
a sway detector that detects sway of a person when the person moves
Implementation Method 2
The determination device performs spectrum analysis by resolving sway data outputted from the sway detector into frequency components
Data Source
AI summary
A determination device includes: a sway detector that detects sway of a person when the person moves; and a controller. The determination device performs spectrum analysis by resolving sway data outputted from the sway detector into frequency components. In a spectrum obtained from the spectrum analysis, a first peak, a second peak, and a third peak sequentially appear in order of increasing frequency. The controller determines a state of a body of the person based on the first peak, the second peak, and the third peak.