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

Abstract

The invention discloses a mean filtering device for triaxial acceleration data applied to motion detection. The device comprises a motion template database, a filtering controller, an acceleration sensing data collector, an X-axis neighborhood data circular buffer, a Y-axis neighborhood data circular buffer, a Z-axis neighborhood data circular buffer, an X-axis data buffer, a Y-axis data buffer, a Z-axis data buffer, an X-axis mean filter, a Y-axis mean filter and a Z-axis mean filter. According to the idle axial directions of a training template, the filtering functions of corresponding axial directions are turned on or off and each axial neighborhood data circular buffer and each axial data buffer are set; each buffer and each filter are used for mean filtering of data of each axial direction; and thus, high-frequency noise in low-frequency motion signals is effectively filtered out in the process of motion detection under the condition of low consumption of system resources, and the technical problems of incapability of effectively filtering out noise in motion signal and high consumption of system resources in the prior art are overcome.

Description

technical field [0001] The invention belongs to the technical field of motion detection, and more particularly relates to a mean filtering device for three-axis acceleration data used for motion detection. Background technique [0002] 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 efficiently. The traditional method is that office workers imitate the work-time exercise activities in pictures or videos, but they cannot know whether the posture is standard. If the posture is not standard, good exercise effects cannot be achieved. Based on the three-axis acceleration sensor in the smart device or smart phone worn on the human limbs, the three-axis acceleration sensor data can be used to monitor the corresponding human limb move...

AI Technical Summary

Problems solved by technology

[0005] Aiming at the above defects or improvement needs of the prior art, the present invention provides a mean filtering device for three-axis acceleration data used in motion detection. The idle axis of the template is used to switch the filter function of the corresponding axis, and use 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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