Human body action function detection system, detection method and detector

A function detection and human motion technology, applied in the field of human body data recognition, can solve the problems of time-consuming, high cost of motion capture system, and high economic cost

Active Publication Date: 2020-04-07
四川省骨科医院 +1
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  • Summary
  • Abstract
  • Description
  • Claims
  • Application Information

AI Technical Summary

Problems solved by technology

It is conceivable that the cost of a motion capture system using multiple cameras at the same time is still very high, and its dependence on special environments is still very strong
Moreover, the above detection methods can only test one part at a time, which takes a long time and has high economic costs, and does not realize the simultaneous test of multi-part motion data, which cannot meet the requirements of body posture and movement pattern detection in large-scale screening physical examinations. Simple and fast demand
[0006] To sum up, the problems existing in the existing technology are: (1) The existing marker-type human behavior detection technology can only be used in a special environment, and the human body needs to wear special equipment, which is cumbersome and expensive
[0007] (2) The cost of the existing non-ma

Method used

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  • Human body action function detection system, detection method and detector

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Experimental program
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Effect test

Embodiment 1

[0188] There are many kinds of human body movements, which can be roughly divided into five basic forms: moving, jumping, balancing, rotating and swinging. There are single and simple movements such as standing, squatting and jumping, as well as dancing, basketball, eating and so on. More complex actions of human interaction. According to the complexity of human body movements, human limb movements can be divided into three categories: motor units, body movements and human activities from simple to complex.

[0189] (1) Motion unit

[0190] Motor unit is the most basic unit used to describe body movement. It represents the most intuitive body behavior during human movement, such as the most basic body movements such as "raising the head", "putting down the left hand", and "bending".

[0191] (2) Body movements

[0192] Body movements are composed of multiple movement units. Human body movements with certain meanings, such as "leg raising" and "arm swinging" can form the acti...

Embodiment 2

[0237] The "four-character test" is an inspection method used to judge sacroiliac joint lesions. During the test, the subject sat on the measurement chair, faced the camera, looked straight ahead, and placed the lateral ankle of the lower limb of the affected side on the knee joint of the healthy side.

[0238] Subtract the coordinates of the right knee joint point from the coordinates of the left knee joint point to obtain the three-dimensional vector A in the camera coordinate system. The distance of the calculated vector A on the Y axis is the vertical distance between the two knees.

[0239] Measurement formula:

[0240] Set the coordinates of the left knee joint point as (X 13 ,Y 13 ,Z 13 ), the coordinates of the right knee joint point are (X 17 ,Y 17 ,Z 17 ),Calculated as follows:

[0241] Vertical distance between two knees d=|Y 13 -Y 13 |.

Embodiment 3

[0243] "Neck flexion" is used to measure the range of motion of the frontal forward flexion of the neck joints. During the test, the subject stood on the measurement table, faced the camera, looked straight ahead with his eyes, and retracted his jaw when standing still. The subject tried to stretch his neck forward to the maximum angle and then the system read it.

[0244] Subtract the neck joint point coordinates from the head joint point coordinates to obtain a three-dimensional vector A in the camera coordinate system. Project A into the Y-Z plane of the camera coordinate system to obtain a two-dimensional vector B. The angle between the calculated vector B and the Y axis is the angle at which the head protrudes.

[0245] Set the coordinates of the head joint point as (X 3 ,Y 3 ,Z 3 ), the coordinates of the neck joint point are (X 2 ,Y 2 ,Z 2 ), so the three-dimensional vector A is equal to (X 3 -X 2 ,Y 3 -Y 2 ,Z 3 -Z 2 ), the two-dimensional vector B is equal...

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Abstract

The invention belongs to the technical field of human body data identification, and discloses a human body action function detection system, a detection method and a detector. A data acquisition module adopts depth camera equipment to acquire a human body motion video; a skeleton node position acquisition module is used for establishing a simple human skeleton model for analysis and acquiring spatial coordinate data of human skeletons; a data calculation module is used for obtaining spatial data among the articulation points according to the depth positions of the coordinate points in the skeleton data; a posture library matching module is used for matching the spatial data with a posture library template obtained by performing machine learning on a large number of data samples; and a limbmovement recognition module is used for limb recognition. According to the invention, synchronous detection of motion data of multiple parts in functional action detection such as deep squatting by lifting hands, three-dimensional forward bending and lateral bending of a standing person is creatively realized, and quantification of functional action detection data is realized.

Description

technical field [0001] The invention belongs to the technical field of human body data identification, and in particular relates to a human body action function detection system, detection method and detection instrument. Background technique [0002] At present, the existing technologies commonly used in the industry are as follows: the research of the existing technologies has confirmed that there is a certain correlation between the decline and abnormality of motor function and the occurrence and development of sports injuries: [0003] The tension of pectoralis major and pectoralis minor in patients with acromion impingement syndrome and rotator cuff injury is higher than that of healthy people. patients with non-specific low back pain, lumbar disc herniation and other lumbar injuries show the characteristics of multifidus muscle, transverse abdominus muscle, oblique muscle weakness and volume reduction, while cruciate ligament injury of knee joint and anterior knee pain...

Claims

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Application Information

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IPC IPC(8): G06K9/00G06T7/70
CPCG06T7/70G06T2207/30008G06V40/20G06V20/40
Inventor 虞亚明罗小兵沈海高丕明周文琪胡肄民吴林飞周杨诗宇刘闯
Owner 四川省骨科医院
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