A Mean Filtering Method for Three-axis Acceleration Data Used in Motion Detection

Abstract

The invention discloses a mean value filtering method for three-axis acceleration data used for motion detection. When using a three-axis acceleration sensor for data collection in motion detection, the filter function of the corresponding axis is switched according to the idle axis of the training template. , each axial neighborhood data ring buffer and each axial data buffer are set, each buffer and filter are used to perform mean value filtering on each axial data, and when interrupted by an external event, the acceleration sensing data The collector stops data collection or logs off the three-axis acceleration sensor, and stops three-axis acceleration data filtering. In this way, the effective filtering of the high-frequency noise in the low-frequency motion signal is realized in the motion detection process under the condition of low system resource consumption, and the problems of the inability to effectively filter the motion signal noise and the high consumption of system resources in the prior art are solved. technical problem.

Description

technical field [0001] The invention belongs to the technical field of motion detection, and more specifically relates to a mean value filtering method for three-axis acceleration data used for motion detection. Background technique [0002] The three-axis acceleration sensor is a tool based on the basic principle of acceleration to realize spatial acceleration sensing. Most of the current three-axis acceleration sensors use piezoresistive, piezoelectric and capacitive working principles, and the acceleration generated is proportional to the change of resistance, voltage and capacitance, and is collected through corresponding amplification and filtering circuits. [0003] Gymnastics is a kind of micro-sports that is not limited by the venue. Because of its advantages of relieving fatigue, regulating emotions and exercising the body, people pay more and more attention to it. Work-time exercises can immediately unload the body's load, maintain a healthy body, and work efficie...

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Problems solved by technology

[0005] Aiming at the above defects or improvement needs of the prior art, the present invention provides a mean value filtering method for three-axis acceleration data used in motion detection. The idle axis of the template switches the filtering function of the corresponding axis, and uses each buffer and filter to perform mean value filtering on the data of each axis, which realizes the low-frequency motion signal in the motion detection process under the condition of low system resource consumption Effective filtering of high-frequency noise in the medium, thus solving the technical problems in the prior art that the motion signal noise cannot be effectively filtered and the system resource consumption is high

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