Gait acceleration signal-based fatigue detection method and device
A technology of fatigue detection and acceleration, which is applied in the field of fatigue detection, can solve problems such as inability to detect at any time by itself, cumbersome operation, etc., and achieve the effect of avoiding accidental injury, avoiding excessive exercise, and avoiding safety problems
Patent Information
- Authority / Receiving Office
- CN · China
- Patent Type
- Applications(China)
- Current Assignee / Owner
- Publication Date
- 2012-03-28
- Estimated Expiration
- Not applicable · inactive patent
Smart Images
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Abstract
Description
technical field
[0001] The invention relates to fatigue detection technology, in particular to a fatigue detection method and device based on gait acceleration signals. Background technique
[0002] With the development of society, people's pace of life is gradually accelerating, the pressure from many aspects is also increasing, and many people's fatigue is intensifying. Therefore fatigue has been recognized as a serious social problem. Work efficiency is low in fatigue state, which is easy to cause safety accidents. Continuing to exercise when entering a state of fatigue will cause certain damage to the body, which is not conducive to the recovery of physical strength and affects physical health.
[0003] At present, the commonly used methods for fatigue state detection at home and abroad mainly include the following types. (1) Subjective judgment method. Such as self-assessment, questionnaires, and evaluative measurement of the work efficiency of the testees. (2) Phy...
Examples
Embodiment Construction
[0030] The present invention will be described in further detail below in conjunction with the accompanying drawings.
[0031] figure 1 Shown is the flow chart of the single-chip monitoring program solidified in the fatigue detection device. After the fatigue detection device is powered on, it will work according to the steps shown in the flow chart. The frequency of data collection is 800Hz, and the time for each signal collection is 40 seconds. figure 1 The data processing steps in the method are: denoising and normalization processing after the gait acceleration signal is collected. The normalization process includes: removing the unsteady signal, removing the front and rear part of the collected gait acceleration signal, and only retaining the middle part of the signal; dividing the middle part of the signal according to the step length of each step, because walking on flat ground The gait acceleration signal has a local maximum value when the heel is on the ground, so th...