CN112418094A - Method for measuring head front stretching and rear shrinking distance based on characteristic joint point data - Google Patents

Method for measuring head front stretching and rear shrinking distance based on characteristic joint point data Download PDF

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CN112418094A
CN112418094A CN202011325658.1A CN202011325658A CN112418094A CN 112418094 A CN112418094 A CN 112418094A CN 202011325658 A CN202011325658 A CN 202011325658A CN 112418094 A CN112418094 A CN 112418094A
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joint point
head
shoulder joint
axis coordinate
chest
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胥鑫
周洁
刘钊
王晓磊
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Chengdu Feiming Technology Co ltd
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    • G06V40/20—Movements or behaviour, e.g. gesture recognition
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Abstract

The invention discloses a method for measuring the distance between the front extension and the back retraction of a head based on characteristic joint point data, which comprises the following steps: collecting user characteristic joint point data; establishing a coordinate system, and determining the coordinate values of the characteristic joint points of the human body coronal plane of the user; judging the state of the head stretching forwards or backwards; the distance of the head to extend or retract is calculated. The invention measures the distance of the head of the patient stretching forwards and contracting backwards through the optical motion capture equipment, and has the advantages of quick and simple measurement process and accurate measurement.

Description

Method for measuring head front stretching and rear shrinking distance based on characteristic joint point data
Technical Field
The invention belongs to the technical field of computer vision and pattern recognition, and particularly relates to a method for measuring the distance between the front extension and the back retraction of a head based on characteristic joint point data.
Background
Computer vision, which uses a computer to simulate human brain vision mechanism to acquire and process information, such as detection, identification, tracking and other tasks of image targets. Computer vision also crosses the disciplines of statistics, computer science, neurobiology and the like, and the final aim is to realize the understanding of a computer to a three-dimensional real world and realize the function of a human visual system; more abstractly, computer vision can be seen as a perceptual problem in high-dimensional data such as images, including image processing and image understanding. Pattern recognition, finding patterns in data is a fundamental problem, and the field of pattern recognition focuses on automatically discovering rules in data using computer algorithms and taking actions such as classifying data using these rules.
In the field of cervical vertebra rehabilitation, a therapist needs to diagnose and evaluate the disease condition of a patient firstly, the traditional cervical vertebra disease evaluation needs the therapist to measure the activity degree and the proprioceptive positioning difference of cervical vertebra joints of the patient, and orally inquire the pain condition in the evaluation process.
Disclosure of Invention
The present invention is directed to solving the above problems, and provides a method for measuring a distance between a head and a back based on characteristic joint point data, comprising the steps of:
s1, collecting the data of the user characteristic joint points;
s2, establishing a coordinate system, determining the coordinate values of the characteristic joint points of the human body coronal plane of the user: the coordinate values of a left shoulder joint point, a right shoulder joint point, a head joint point and a thoracic spine mid-point joint point of a user are included;
s3, setting the vector of the right shoulder joint point pointing to the thoracic spine midpoint joint point as
Figure BDA0002794187400000021
The vector of the right shoulder joint point pointing to the left shoulder joint point is
Figure BDA0002794187400000022
The vector of the right shoulder joint point pointing to the head joint point is
Figure BDA0002794187400000023
Normal vector of human coronal plane
Figure BDA0002794187400000024
Is composed of
Figure BDA0002794187400000025
The direction is the same as the front direction of the human body;
judging the state of the head stretching forwards or contracting backwards: if it is
Figure BDA0002794187400000026
The head is extended forwards; if it is
Figure BDA0002794187400000027
The head is retracted;
s4, setting: x is the number ofCHESTThe X-axis coordinate of the collected thoracic vertebra midpoint joint point is acquired; x is the number ofLEFTThe collected x-axis coordinate of the left shoulder joint point; x is the number ofRIGHTThe collected x-axis coordinate of the right shoulder joint point; x is the number ofHEADIs the x-axis coordinate of the collected head joint point; y isLEFTThe acquired y-axis coordinate of the left shoulder joint point; y isCHESTThe acquired y-axis coordinate of the thoracic vertebra midpoint joint point; y isRIGHTThe acquired y-axis coordinate of the right shoulder joint point; y isHEADIs the collected y-axis coordinate of the head joint point; z is a radical ofLEFTThe acquired z-axis coordinate of the left shoulder joint point; z is a radical ofCHESTThe acquired z-axis coordinate of the thoracic vertebra midpoint joint point; z is a radical ofRIGHTThe acquired z-axis coordinate of the right shoulder joint point; z is a radical ofHEADIs the acquired z-axis coordinate of the head joint point;
then:
vector of right shoulder joint point to thoracic mid-point joint point:
Figure BDA0002794187400000028
the right shoulder joint point refers to the vector to the left shoulder joint point:
Figure BDA0002794187400000029
vector of right shoulder joint point pointing to head joint point:
Figure BDA00027941874000000210
three points, namely a left shoulder joint point, a right shoulder joint point and a thoracic spine midpoint joint point, are all on the coronal plane, so that parameters in a human coronal plane equation can be resolved through coordinates of the three points:
let the planar equation of the human coronal plane be: ax + By + Cz + D ═ 0;
wherein:
A＝yRIGHT(zLEFT-zCHEST)+yLEFT(zCHEST-zRIGHT)+yCHEFT(zRIGHT-zLEFT)；
B＝zRIGHT(xLEFT-xCHEST)+zLEFT(xCHEST-xRIGHT)+zCHEFT(xRIGHT-xLEFT)；
C＝xRIGHT(yLEFT-yCHEST)+xLEFT(yCHEST-yRIGHT)+xCHEFT(yRIGHT-yLEFT)；
Figure BDA0002794187400000031
s5, the distance of the head extending forwards or backwards is the distance from the head joint point to the coronal plane:
Figure BDA0002794187400000032
the invention has the beneficial effects that: the invention measures the distance of the head of the patient stretching forwards and contracting backwards through the optical motion capture equipment, and has the advantages of quick and simple measurement process and accurate measurement.
Drawings
FIG. 1 is a flow chart of the present invention;
FIG. 2 is a schematic view of a measurement system of the present invention.
Detailed Description
The invention will be further described with reference to the accompanying drawings in which:
s1, collecting the data of the user characteristic joint points;
s2, establishing a coordinate system, wherein the space position coordinates of the characteristic joint points are based on the optical capturing device, the origin (0,0,0) is positioned at the center of the optical capturing device, and the positive X axis of the coordinates faces to the right of the device; positive Y axis is downward; the positive Z axis is towards the front of the device; determining the coordinate values of the characteristic joint points of the human body coronal plane of the user: the coordinate values of a left shoulder joint point, a right shoulder joint point, a head joint point and a thoracic spine mid-point joint point of a user are included;
s3, setting the vector of the right shoulder joint point pointing to the thoracic spine midpoint joint point as
Figure BDA0002794187400000033
The vector of the right shoulder joint point pointing to the left shoulder joint point is
Figure BDA0002794187400000034
The vector of the right shoulder joint point pointing to the head joint point is
Figure BDA0002794187400000035
Normal vector of human coronal plane
Figure BDA0002794187400000036
Is composed of
Figure BDA0002794187400000037
The direction is the same as the front direction of the human body;
judging the state of the head stretching forwards or contracting backwards: if it is
Figure BDA0002794187400000038
The head is extended forwards; if it is
Figure BDA0002794187400000039
The head is retracted;
s4, setting: x is the number ofCHESTFor the thoracic vertebra collectedX-axis coordinates of the point joint points; x is the number ofLEFTThe collected x-axis coordinate of the left shoulder joint point; x is the number ofRIGHTThe collected x-axis coordinate of the right shoulder joint point; x is the number ofHEADIs the x-axis coordinate of the collected head joint point; y isLEFTThe acquired y-axis coordinate of the left shoulder joint point; y isCHESTThe acquired y-axis coordinate of the thoracic vertebra midpoint joint point; y isRIGHTThe acquired y-axis coordinate of the right shoulder joint point; y isHEADIs the collected y-axis coordinate of the head joint point; z is a radical ofLEFTThe acquired z-axis coordinate of the left shoulder joint point; z is a radical ofCHESTThe acquired z-axis coordinate of the thoracic vertebra midpoint joint point; z is a radical ofRIGHTThe acquired z-axis coordinate of the right shoulder joint point; z is a radical ofHEADIs the acquired z-axis coordinate of the head joint point;
then:
vector of right shoulder joint point to thoracic mid-point joint point:
Figure BDA0002794187400000041
the right shoulder joint point refers to the vector to the left shoulder joint point:
Figure BDA0002794187400000042
vector of right shoulder joint point pointing to head joint point:
Figure BDA0002794187400000043
three points, namely a left shoulder joint point, a right shoulder joint point and a thoracic spine midpoint joint point, are all on the coronal plane, so that parameters in a human coronal plane equation can be resolved through coordinates of the three points:
let the planar equation of the human coronal plane be: ax + By + Cz + D ═ 0;
wherein:
A＝yRIGHT(zLEFT-zCHEST)+yLEFT(zCHEST-zRIGHT)+yCHEFT(zRIGHT-zLEFT)；
B＝zRIGHT(xLEFT-xCHEST)+zLEFT(xCHEST-xRIGHT)+zCHEFT(xRIGHT-xLEFT)；
C＝xRIGHT(yLEFT-yCHEST)+xLEFT(yCHEST-yRIGHT)+xCHEFT(yRIGHT-yLEFT)；
Figure BDA0002794187400000051
s5, the distance of the head extending forwards or backwards is the distance from the head joint point to the coronal plane:
Figure BDA0002794187400000052
as shown in fig. 2, the optical motion capture device acquires the user characteristic joint data by means of image acquisition and recognition, and the data processing unit adopts a computer to perform calculation processing on the data.
The invention measures the distance of the head of the patient stretching forwards and contracting backwards through the optical motion capture equipment, and has the advantages of quick and simple measurement process and accurate measurement. The invention fills the blank of the measurement of the data of the patient with the head stretching forward and the head contracting backward, and provides a new data dimension for the related data on the rehabilitation and research of the cervical spondylosis.
The technical solution of the present invention is not limited to the limitations of the above specific embodiments, and all technical modifications made according to the technical solution of the present invention fall within the protection scope of the present invention.

Claims (1)

1. The method for measuring the distance between the front extension and the back retraction of the head based on the characteristic joint point data is characterized by comprising the following steps:
s1, collecting the data of the user characteristic joint points;
s2, establishing a coordinate system, determining the coordinate values of the characteristic joint points of the human body coronal plane of the user: the coordinate values of a left shoulder joint point, a right shoulder joint point, a head joint point and a thoracic spine mid-point joint point of a user are included;
s3, setting the vector of the right shoulder joint point pointing to the thoracic spine midpoint joint point as
Figure FDA0002794187390000011
The vector of the right shoulder joint point pointing to the left shoulder joint point is
Figure FDA0002794187390000012
The vector of the right shoulder joint point pointing to the head joint point is
Figure FDA0002794187390000013
Normal vector of human coronal plane
Figure FDA0002794187390000014
Is composed of
Figure FDA0002794187390000015
The direction is the same as the front direction of the human body;
judging the state of the head stretching forwards or contracting backwards: if it is
Figure FDA0002794187390000016
The head is extended forwards; if it is
Figure FDA0002794187390000017
The head is retracted;
s4, setting: x is the number ofCHESTThe X-axis coordinate of the collected thoracic vertebra midpoint joint point is acquired; x is the number ofLEFTThe collected x-axis coordinate of the left shoulder joint point; x is the number ofRIGHTThe collected x-axis coordinate of the right shoulder joint point; x is the number ofHEADIs the x-axis coordinate of the collected head joint point; y isLEFTThe acquired y-axis coordinate of the left shoulder joint point; y isCHESTThe acquired y-axis coordinate of the thoracic vertebra midpoint joint point; y isRIGHTThe acquired y-axis coordinate of the right shoulder joint point; y isHEADIs the collected y-axis coordinate of the head joint point; z is a radical ofLEFTThe acquired z-axis coordinate of the left shoulder joint point; z is a radical ofCHESTThe acquired z-axis coordinate of the thoracic vertebra midpoint joint point; z is a radical ofRIGHTThe acquired z-axis coordinate of the right shoulder joint point; z is a radical ofHEADIs the acquired z-axis coordinate of the head joint point;
then:
vector of right shoulder joint point to thoracic mid-point joint point:
Figure FDA0002794187390000018
the right shoulder joint point refers to the vector to the left shoulder joint point:
Figure FDA0002794187390000019
vector of right shoulder joint point pointing to head joint point:
Figure FDA0002794187390000021
three points, namely a left shoulder joint point, a right shoulder joint point and a thoracic spine midpoint joint point, are all on the coronal plane, so that parameters in a human coronal plane equation can be resolved through coordinates of the three points:
let the planar equation of the human coronal plane be: ax + By + Cz + D ═ 0;
wherein:
A＝yRIGHT(zLEFT-zCHEST)+yLEFT(zCHEST-zRIGHT)+yCHEFT(zRIGHT-zLEFT)；
B＝zRIGHT(xLEFT-xCHEST)+zLEFT(xCHEST-xRIGHT)+zCHEFT(xRIGHT-xLEFT)；
C＝xRIGHT(yLEFT-yCHEST)+xLEFT(yCHEST-yRIGHT)+xCHEFT(yRIGHT-yLEFT)；
Figure FDA0002794187390000022
s5, the distance of the head extending forwards or backwards is the distance from the head joint point to the coronal plane:
Figure FDA0002794187390000023
CN202011325658.1A 2020-11-24 2020-11-24 Method for measuring head front stretching and rear shrinking distance based on characteristic joint point data Pending CN112418094A (en)

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Citations (3)

* Cited by examiner, † Cited by third party
Publication number Priority date Publication date Assignee Title
CN102824176A (en) * 2012-09-24 2012-12-19 南通大学 Upper limb joint movement degree measuring method based on Kinect sensor
CN105816182A (en) * 2016-03-24 2016-08-03 西安交通大学 Method for measuring cervical vertebra motion degree on basis of Kinect sensor
CN111297372A (en) * 2020-03-24 2020-06-19 成都翡铭科技有限公司 Measuring device and method for measuring cervical vertebra mobility

Patent Citations (3)

* Cited by examiner, † Cited by third party
Publication number Priority date Publication date Assignee Title
CN102824176A (en) * 2012-09-24 2012-12-19 南通大学 Upper limb joint movement degree measuring method based on Kinect sensor
CN105816182A (en) * 2016-03-24 2016-08-03 西安交通大学 Method for measuring cervical vertebra motion degree on basis of Kinect sensor
CN111297372A (en) * 2020-03-24 2020-06-19 成都翡铭科技有限公司 Measuring device and method for measuring cervical vertebra mobility

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