Detection method and detection apparatus for abnormal step counting in exercise monitoring device

Abstract

The invention provides a detection method and a detection apparatus for abnormal step counting in an exercise monitoring device and relates to the field of exercise monitoring. The detection method includes the following steps: 1) acquiring an acceleration signal within a preset time section of the exercise monitoring device; 2) pre-treating the acceleration signal to obtain a pretreated acceleration signal; 3) performing feature value extraction to the pretreated acceleration signal to obtain at least one feature value; 4) performing sample entropy calculation to the feature value to obtain a sample entropy value; and 5) if the sample entropy value is less than or equal to a first preset threshold value or is more than or equal to a second preset threshold value, determining data recorded in the exercise monitoring device to be abnormal step counting. In the method, the abnormal step counting is recognized by calculating the sample entropy to the feature value of the acceleration signal during walking, thereby increasing accuracy of the exercise monitoring device in step counting.

Description

technical field [0001] The invention relates to the field of motion detection, in particular to a detection method and device for abnormal step counting of a motion monitoring device. Background technique [0002] Human walking is a quasi-periodic process, and the vibration generated by the human body in this process is also quasi-periodic. Existing motion monitoring devices such as pedometers are based on the above principles. First, the vibration signal is recorded by an acceleration sensor or a gyroscope. A quasi-period in the vibration signal that meets a certain fluctuation range and duration is recognized as a step and counted. On this basis, information such as energy consumption and distance are estimated synchronously. [0003] However, the vibration information sensed by the sensor in the motion monitoring device is not necessarily caused by the user's walking, and may be caused by other reasons. Several common situations include: shaking the pedometer in the han...

AI Technical Summary

Problems solved by technology

Traditional motion monitoring devices do not deal with these situations, and usually generate step counting under these abnormal conditions, resulting in step counting monitoring errors

[0004] On the one hand, these abnormal erroneous step counts may be unintentionally caused by users, and users want to be able to accurately record their activities, and these erroneous step counts are what users do not want to see; on the other hand, these abnormal erroneous step counts are The user intentionally does this, and the current abnormality monitoring device usually cooperates with a network platform to interact with other users (such as friend competitions). These wrong step counts mistakenly record a large amount of exercise when the user is not exercising. comparisons or competitions between

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