Step counting method based on walking state

Abstract

The invention provides a step counting method based on the walking state, comprising the following steps: continuously acquiring acceleration data from an acceleration sensor; calculating the global acceleration; and then calculating the linear acceleration ACC on three axes x , ACC y and ACC z ; Judgment ACC x , ACC y and ACC z Whether it exceeds the set threshold, if it exceeds the set threshold, mark this set of data as abnormal data and clear it; calculate the component of linear acceleration in the direction of gravity to obtain ACC g ; set ACC g drawn as the first curve, the ACC y Draw the second curve, and overlap the first curve and the second curve to form an overlapping image; set the walking identification condition according to the walking characteristics, use the walking identification condition to analyze the overlapping image, and judge whether walking occurs; when it is judged that walking occurs, the walking ACC at time g The value calculates the step length and calculates the stride frequency to obtain walking data. Compared with the prior art, the present invention can eliminate most equipment shaking interference, provide step length and step frequency data, and effectively improve step counting accuracy.

Description

technical field [0001] The invention relates to the technical field of step counting, in particular to a step counting method based on walking state. Background technique [0002] Various smartphones and wearable devices have become increasingly popular in recent years, and among these devices, especially wearable devices, there are sports and health-related applications. One of the core algorithms of these applications is the step counting algorithm. The existing pedometer algorithms all adopt a relatively simple threshold detection method, which only provides the pedometer function and cannot provide gait information. [0003] The main methods in the prior art are: set an acceleration threshold and the shortest time interval between the two parts before starting; read the accelerometer data; separate the component of the acceleration caused by the user's walking in the direction of gravity from the accelerometer data, Denote this data as V; detect whether two consecutive...

AI Technical Summary

Problems solved by technology

[0005] Step counting is usually not very accurate, and some common interference cannot be ruled out. Users can swing the device at will to cause step counting; although these step counting algorithms can be applied to some applications that do not require high precision, such as counting the number of steps a user takes in a day , but if it is applied in an application similar to PDR (pedestrian dead reckoning), this error will have a great influence on the result

[0006] The information provided is too little; only the most basic step counting function is provided, and more gait information cannot be provided; if more information about the user's gait can be known, more data about the user's movement can be deduced from it

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