Human joint angle measuring method based on feature point space position

Abstract

The invention provides a human joint angle measuring method based on a feature point space position. According to the human joint angle measuring method based on the feature point space position, human joint motion can be tracked so that a space track of a joint mark point can be collected. On the basis, joint motion angle values of the portions of neck, elbow, wrist, hip and the like are measured through least squares fit and the Newton interpolation method, descriptive statistical analysis can be further conducted on the joint angle values, and therefore the requirements that position accuracy is better than 2mm and the measuring accuracy of joint angles is better than 0.2 degree are satisfied. According to the human joint angle measuring method based on the feature point space position, the problems that manual measurement is slow, a person to be measured is prone to fatigue, and a measuring result is poor in accuracy in the prior art are solved, the problems that when three dimension scanning measurement is used, required data volume is large, calculation speed is low, and auxiliary work amount of the measurement is large are solved. The joint motion angles of large sample crowd can be measured and calculated rapidly, accurately and automatically.

Description

technical field [0001] The invention relates to a method for measuring the angle of motion of human joints, which mainly calculates the corresponding joint angle value according to the spatial position of the characteristic points of the joints of the human body. , sports science and other fields have a wide range of applications. Background technique [0002] The joint activity angle refers to the maximum angle that the movable joint passes from the initial position to the final position. It is related to static anthropometric data (such as height, upper limb length, waist circumference, shoulder width, etc.), Grip force, spin force, etc.), physiological / psychological data (such as heart rate, oxygen consumption, field of view, reaction time, etc.), and dynamic functional size data are all very important foundations in the study of ergonomics design and evaluation of man-machine systems Data is an important basis for working space, clothing and personal protective equipmen...

AI Technical Summary

Problems solved by technology

However, there are still some problems. First, during the joint rotation process, the skin will have a small amount of translation relative to the bone in the rotation plane, so that the line of the landmark points after rotation is no longer the line of landmark points before rotation, resulting in errors; secondly. , because the mark point is not a point in the true sense, but a circular piece of paper occupying a certain area, when the coordinates are read by image processing software, an error occurs due to the inability to accurately select the center of the mark point; third, when taking pictures , the optical axis of the camera lens and the plane of rotation of the joint cannot be accurately kept vertical, resulting in an error

In the article "Research on the Method of Measurement of the Range of Motion of Limb Joints" in "Criminal Technology" No. 4, 2002, a triangular measurement method was proposed, taking the joint to be measured as the origin, and taking a point on each of the "both sides" that constitute the joint Form a triangle, measure the length of "each side" with two-legged gauges, and use mathematical principles to calculate the angle of movement of the joint. The triangle method is simple and easy, and overcomes the errors caused by factors such as body posture and manufacturing technology of the limbs. A more objective and precise new method, the disadvantage is that the position of the three points must be a bony place, which is sometimes difficult to choose

[0007] (1) During the manual test, the test posture of the testee is not easy to maintain, and the accuracy of the measurement result is poor;

[0008] (2) When using laser scanning data to test the joint angle, the amount of data required is large, and the calculation speed is slow, and the workload of test assistance is large

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