Wearable human body motion state data monitoring system and method

Abstract

A wearable human body motion state data monitoring system comprises a receiver and a plurality of human body motion state data monitoring devices; every human body motion state data monitoring device is worn by a subject at the waist and comprises a three-axis acceleration sensor and a processor; the three-axis acceleration sensor is used for monitoring the human body motion state data of the subject and sending the data to the processor; the processor is used for obtaining voltage data of a power supply battery of the processor and calibrating received X-axis acceleration, Y-axis acceleration and Z-axis acceleration data according to the power supply voltage data, and the calibrated data is sent to the receiver. According to the wearable human body motion state data monitoring system, voltage compensation and dip computation are performed on the collected human body motion state data in the motion state of the subject, the acceleration of a local coordinate system of every human body motion state data monitoring device is converted to a physical coordinate system, effective calibration is performed on the collected acceleration data, and data changes of a human body in all directions during a motion process can be reflected more truly.

Description

technical field [0001] The invention relates to the technical field of motion state monitoring, in particular to a wearable human body motion state data monitoring system and method. Background technique [0002] In the prior art, there are many devices that use acceleration sensors to monitor human body movement status. For example, the invention patent No. 201210281132.7 "a human body movement status detection system and detection method" uses the acceleration sensor and direction sensor in the mobile phone to monitor human body movement. The motion state is monitored, and the collected acceleration value and direction value are normalized and mapped to the standard three-dimensional coordinate system, and the SVM algorithm is used to realize the analysis of the human body motion state. However, it only uses the interpolation method to improve the data accuracy, and does not calibrate the data more accurately, and the connection between the mobile phone and the human body ...

AI Technical Summary

Problems solved by technology

[0003] The wearable design makes the human body movement state monitoring device more closely connected with the human body, and can reduce the error caused by the position change of the device itself. However, most human body movement state monitoring devices have a problem in data analysis: when actually collecting acceleration, Since the coordinate system of the motion state monitoring device worn by the human body does not coincide with the physical coordinate system, it is easy to cause errors in the calculation and analysis of the acceleration data, and most devices for monitoring the motion state of the human body ignore the accuracy of the device structure itself for the measurement data. degree of impact

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