Step counting method with self-learning capability

Abstract

The invention relates to a step counting method with self-learning capability. The step counting method is characterized in that the walking speed of a current user is automatically calculated and is compared with that of ordinary people in a natural state, and a step counting threshold value is automatically changed according to the deviation condition, so that the effect of accurately counting the steps can be realized. The method comprises the following steps of calculating the step number of the current user within 5 minutes or longer time according to a preset step counting threshold value, comparing the calculated step number with the step number range of ordinary people in the natural state in the same period, automatically correcting the step counting threshold value according to the deviation condition, and repeating the process until the deviation is 0. The step counting method with self-learning capability is suitable for multiple sensors, is low in requirement on wearing, and is still capable of accurately counting the steps after the user is replaced.

Description

technical field [0001] The invention relates to a step counting method, in particular, a step counting method with self-learning ability. Background technique [0002] With the continuous development and progress of society, smart wearable products have gradually entered people's daily life and become a convenient way for exercise and sleep detection. For example, most of the current sports bracelets have a step counting function to measure the total number of steps taken by the user in daily walking and running. [0003] At present, the main sports bracelets and pedometer APPs usually use two-axis or three-axis acceleration sensors to collect data, and use several sets of preset step counting thresholds to calculate the collected data to obtain step counting information. This step counting method has the following disadvantages: [0004] 1. The preset step threshold is limited to several groups, which cannot be adapted to all groups of people, and the step counting error ...

AI Technical Summary

Problems solved by technology

[0004] 1. The preset step threshold is limited to several groups, which cannot be adapted to all groups of people, and the step counting error is relatively large;

[0005] 2. The requirements for the user's walking posture are relatively high. When the walking posture is not standard or different from the usual posture, the error of step counting is relatively large;

[0006] 3. After changing the pedometer device / software to different users, you need to re-select the pedometer threshold that suits you, which is cumbersome to operate

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