CN112957249A - Acupuncture point identification and positioning method and system, moxibustion robot and storage medium - Google Patents
Acupuncture point identification and positioning method and system, moxibustion robot and storage medium Download PDFInfo
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Abstract
The invention discloses an acupuncture point identification and positioning method and system, a moxibustion robot and a storage medium, and belongs to the field of medical instruments. Wherein, the method comprises the following steps: collecting a characteristic image of a human body to be subjected to moxibustion, and performing image preprocessing; unfolding a human body acupoint map, and scanning to obtain a reference image of a preset acupoint; comparing the collected characteristic image with the scanned reference image to determine the acupuncture point information of the human body to be subjected to moxibustion; and uploading and storing the acupuncture point information of the human body to be moxibustion. The invention can quickly and accurately identify and position the acupuncture points of the human body and provide scientific, systematic and professional guidance and help for moxibustion physiotherapy of the user.
Description
Technical Field
The invention relates to the field of medical instruments, in particular to an acupuncture point identification and positioning method and system, a moxibustion robot and a storage medium.
Background
The moxibustion is a treatment method which is characterized in that moxa heat generated by a moxibustion material made of folium artemisiae argyi stimulates acupuncture points or specific parts on the body surface and regulates the physiological and biochemical functions of human body disorder by exciting the movement of meridian qi, thereby achieving the purpose of preventing and treating diseases.
In the course of today's busy work and life, more and more people are interested in moxibustion conditioning and are trying to use it. For modern people, especially for beginners who just touch the near, the moxibustion is often not aligned with the corresponding acupuncture points, which can greatly reduce the effect of moxibustion.
Disclosure of Invention
The invention aims to provide an acupuncture point identification and positioning method, an acupuncture point identification and positioning system, a moxibustion robot and a storage medium, which can quickly and accurately identify and position acupuncture points of a human body and provide scientific, systematic and professional guidance and help for moxibustion physiotherapy of a user.
In order to realize the purpose, the following technical scheme is provided:
in a first aspect, the present invention provides an acupoint identification and positioning method, including:
s1, collecting characteristic images of a human body to be subjected to moxibustion, and performing image preprocessing;
s2, unfolding a human body acupuncture point diagram, and scanning to obtain a reference image of a preset acupuncture point;
s3, comparing the collected characteristic image with the scanned reference image to determine the acupuncture point information of the human body to be moxibustion;
and S4, uploading and storing the acupuncture point information of the human body to be moxibustion.
Further, the identity information of the human body to be subjected to moxibustion is acquired, and the common acupuncture point information is provided.
Further, noise reduction processing is carried out on the image data through median filtering and Gaussian filtering, and histogram equalization is adopted to eliminate the brightness difference of the image data.
Further, when the body part of the user is the yang side of the upper limb, the Shangyang acupoint, the Guanchong acupoint and the Shaoze acupoint are taken as characteristic acupoint reference points; when the body part of the user is the shade of the upper limb, the Shaoshan acupoint, the Zhongchong acupoint and the Shaoshan acupoint are taken as the characteristic acupoint reference points; when the body parts of the user are the head, the chest, the abdomen, the hypochondrium and the lower limb, the leucorrhea acupoint, the Dadun acupoint, the Liduhui acupoint, the foot-Qiaoyin acupoint, the Zhiyin acupoint, the Shenque acupoint and the Qingming acupoint are used as characteristic acupoint reference points; when the body part of the user is the chest and the back, the Dazhui acupoint is taken as a characteristic acupoint reference point.
In a second aspect, the present invention further provides an acupoint identification and positioning system, including:
the depth camera is used for acquiring a characteristic image of a human body to be subjected to moxibustion;
the scanning module is used for scanning and acquiring a reference image of a preset acupuncture point of a human body acupuncture point diagram;
the comparison module is used for comparing the collected characteristic image with the scanned reference image so as to determine the acupuncture point information of the human body to be subjected to moxibustion;
and the unfolding device is used for unfolding the human body acupuncture point diagram.
Further, expand the device and include receiver, first support and second support, the receiver is used for accomodating human acupuncture point picture, first support with the interval of second support is adjustable, the receiver set up in on the first support, one side of human acupuncture point picture connect in the receiver, the opposite side connect in on the second support.
Furthermore, the two sides of the human body acupuncture point diagram are respectively provided with a supporting strip and a screw, and the supporting strips are connected in the containing box or on the second support in a rotating mode through the screws.
Further, the deployment device further comprises a flexible arm and a moxibustion box, wherein the moxibustion box is connected to the first bracket or the second bracket through the flexible arm.
In a third aspect, the present invention also provides a moxibustion robot comprising:
one or more processors;
storage means for storing one or more programs;
when the one or more programs are executed by the one or more processors, the one or more processors are enabled to implement the acupoint identification and positioning method as described above.
In a fourth aspect, the present invention further provides a computer-readable storage medium, on which a computer program is stored, which when executed by a processor implements the acupoint identifying and positioning method as described above.
Compared with the prior art, the acupuncture point identification and positioning method, the acupuncture point identification and positioning system, the moxibustion robot and the storage medium are suitable for personalized moxibustion physiotherapy, and firstly, the characteristic image of a human body to be subjected to moxibustion is collected through the depth camera and is subjected to image preprocessing; secondly, unfolding the human body acupuncture point diagram through an unfolding device, and scanning through a scanning module to obtain a reference image of a preset acupuncture point; then, comparing the collected characteristic image with the scanned reference image through a comparison module to determine the acupuncture point information of the human body to be subjected to moxibustion; and finally, the acupuncture point information of the human body to be moxibustion is uploaded and stored, so that the acupuncture points of the human body can be quickly and accurately identified and positioned, and scientific, systematic and professional guidance and help are provided for moxibustion physiotherapy of the user.
Drawings
Fig. 1 is a flowchart of an acupoint identifying and positioning method according to an embodiment of the present invention;
fig. 2 is a schematic structural view of a moxibustion robot according to a third embodiment of the present invention.
Detailed Description
In order to make the technical problems solved, technical solutions adopted and technical effects achieved by the present invention clearer, the technical solutions of the embodiments of the present invention will be described in further detail below with reference to the accompanying drawings, and it is obvious that the described embodiments are only a part of the embodiments of the present invention, and not all of the embodiments. All other embodiments, which can be derived by a person skilled in the art from the embodiments given herein without making any creative effort, shall fall within the protection scope of the present invention.
Example one
Fig. 1 is a flowchart of the acupoint identifying and positioning method provided in this embodiment, and as shown in fig. 1, the acupoint identifying and positioning method includes the following steps:
s1, collecting characteristic images of a human body to be subjected to moxibustion, and performing image preprocessing;
s2, unfolding a human body acupuncture point diagram, and scanning to obtain a reference image of a preset acupuncture point;
s3, comparing the collected characteristic image with the scanned reference image to determine the acupuncture point information of the human body to be moxibustion;
and S4, uploading and storing the acupuncture point information of the human body to be moxibustion.
Wherein, can treat the human characteristic image of moxa-moxibustion through the depth camera collection. When the human body acupuncture point graph is unfolded, an unfolding device convenient to store can be adopted for unfolding. When comparing the collected characteristic image with the scanned reference image, the image needs to be denoised.
Further, the identity information of the human body to be subjected to moxibustion is acquired, and the common acupuncture point information is provided. The user can carry out personal account login by scanning the two-dimensional code, and the trouble of setting parameters every time is saved. The personal information of the personal account may include a series of data such as gender, age, height, weight, etc. By comparing the basic information of the user with the data stored in the big data, the acupuncture point positioning task can be properly corrected, and finally, the optimal meridian acupuncture points are provided for the user.
Further, noise reduction processing is carried out on the image data through median filtering and Gaussian filtering, and histogram equalization is adopted to eliminate the brightness difference of the image data. The median filtering method is a non-linear smoothing technique, and sets the gray value of each pixel point as the median of all the gray values of the pixel points in a certain neighborhood window of the point. The median filtering is a nonlinear signal processing technology which is based on the ordering statistical theory and can effectively inhibit noise, and the basic principle of the median filtering is to replace the value of one point in a digital image or a digital sequence by the median of all point values in a neighborhood of the point, so that the surrounding pixel values are close to the true values, and isolated noise points are eliminated.
The gaussian filtering is a linear smooth filtering, is suitable for eliminating gaussian noise, and is widely applied to a noise reduction process of image processing. Generally speaking, gaussian filtering is a process of performing weighted average on the whole image, and the value of each pixel point is obtained by performing weighted average on the value of each pixel point and other pixel values in the neighborhood. The specific operation of gaussian filtering is: each pixel in the image is scanned using a template (or convolution, mask), and the weighted average gray value of the pixels in the neighborhood determined by the template is used to replace the value of the pixel in the center of the template. Most of the noise of the image belongs to gaussian noise, so that the gaussian filter is widely applied. Gaussian filtering is a linear smoothing filter suitable for eliminating gaussian noise. The specific operation of gaussian filtering is: each pixel in the image is scanned using a user-specified template (or convolution, mask), and the weighted average gray value of the pixels in the neighborhood determined by the template is used to replace the value of the pixel in the center of the template.
Histogram equalization, also known as histogram flattening, is essentially a non-linear stretching of an image, redistributing the image pixel values so that the number of pixel values within a certain gray scale range is approximately equal. Thus, the contrast of the top part of the peak in the middle of the original histogram is enhanced, the contrast of the bottom part of the valley at two sides is reduced, and the histogram of the output image is a flatter segmented histogram: if the output data segment value is small, a visual effect of rough classification is generated. The histogram is a statistical relationship representing the frequency of occurrence of each gray level in the digital image. The histogram can give a general description of the gray scale range of the image, the frequency of each gray scale and the distribution of the gray scale, the average brightness and contrast of the whole image, and the like.
The determined characteristic acupoint reference points are different according to different recognized body parts of the user. Further, when the body part of the user is the yang side of the upper limb, the Shangyang acupoint, the Guanchong acupoint and the Shaoze acupoint are taken as characteristic acupoint reference points; when the body part of the user is the shade of the upper limb, the Shaoshan acupoint, the Zhongchong acupoint and the Shaoshan acupoint are taken as the characteristic acupoint reference points; when the body parts of the user are the head, the chest, the abdomen, the hypochondrium and the lower limb, the leucorrhea acupoint, the Dadun acupoint, the Liduhui acupoint, the foot-Qiaoyin acupoint, the Zhiyin acupoint, the Shenque acupoint and the Qingming acupoint are used as characteristic acupoint reference points; when the body part of the user is the chest and the back, the Dazhui acupoint is taken as a characteristic acupoint reference point.
The acupuncture point identification and positioning method provided by the embodiment is suitable for personalized moxibustion physiotherapy, and comprises the steps of firstly, collecting a characteristic image of a human body to be subjected to moxibustion, and preprocessing the image; secondly, unfolding a human body acupoint map, and scanning to obtain a reference image of a preset acupoint; then, comparing the collected characteristic image with the scanned reference image to determine the acupuncture point information of the human body to be subjected to moxibustion; and finally, the acupuncture point information of the human body to be moxibustion is uploaded and stored, so that the acupuncture points of the human body can be quickly and accurately identified and positioned, and scientific, systematic and professional guidance and help are provided for moxibustion physiotherapy of the user.
Example two
The embodiment provides an acupuncture point discernment positioning system, applicable in individualized moxa-moxibustion physiotherapy. The acupoint identification and positioning system provided by the embodiment of the invention can execute the acupoint identification and positioning method provided by the embodiment of the invention, and has corresponding functional modules and beneficial effects of the execution method.
The acupoint recognition and positioning system comprises:
the depth camera is used for acquiring a characteristic image of a human body to be subjected to moxibustion;
the scanning module is used for scanning and acquiring a reference image of a preset acupuncture point of a human body acupuncture point diagram;
the comparison module is used for comparing the collected characteristic image with the scanned reference image so as to determine the acupuncture point information of the human body to be subjected to moxibustion;
and the unfolding device is used for unfolding the human body acupuncture point diagram.
Further, the unfolding device comprises a storage box, a first support and a second support, the storage box is used for storing the human acupuncture point diagram, the distance between the first support and the second support is adjustable, the storage box is arranged on the first support, one side of the human acupuncture point diagram is connected into the storage box, and the other side of the human acupuncture point diagram is connected onto the second support. Through the interval of adjusting first support and second support, make the human acupuncture point picture that is located the receiver expand to make things convenient for scanning module to scan and the user looks over in real time, convenient to use, occupation space is little.
Furthermore, the two sides of the human body acupuncture point graph are respectively provided with a supporting strip and a screw, and the supporting strips are rotatably connected in the storage box or on the second support through the screws. The side edge of the human body acupuncture point diagram is fixed through the supporting bars to be completely unfolded. By screwing the screw, the included angle of the human body acupuncture point diagram relative to the scanning module or the user visual angle is adjusted, and the scanning or the checking is facilitated.
Further, the unfolding device also comprises a flexible arm and a moxibustion box, wherein the moxibustion box is connected to the first bracket or the second bracket through the flexible arm. The position and the posture of the moxibustion box are changed through the flexible arm, so that the moxibustion box is more convenient to store or use.
The acupuncture point identification and positioning system provided by the embodiment is suitable for personalized moxibustion physiotherapy, and comprises the following steps of firstly, acquiring a characteristic image of a human body to be subjected to moxibustion through a depth camera, and preprocessing the image; secondly, unfolding the human body acupuncture point diagram through an unfolding device, and scanning through a scanning module to obtain a reference image of a preset acupuncture point; then, comparing the collected characteristic image with the scanned reference image through a comparison module to determine the acupuncture point information of the human body to be subjected to moxibustion; and finally, the acupuncture point information of the human body to be moxibustion is uploaded and stored, so that the acupuncture points of the human body can be quickly and accurately identified and positioned, and scientific, systematic and professional guidance and help are provided for moxibustion physiotherapy of the user.
EXAMPLE III
Fig. 2 is a schematic structural view of the moxibustion robot in this embodiment. Fig. 2 shows a block diagram of an exemplary moxibustion robot 412 suitable for use in implementing embodiments of the present invention. The moxibustion robot 412 shown in fig. 2 is only an example, and should not bring any limitation to the function and the range of use of the embodiment of the present invention.
As shown in fig. 2, the moxibustion robot 412 is represented in the form of a general-purpose terminal. The components of the moxibustion robot 412 may include, but are not limited to: a body of the moxibustion robot (not shown), one or more processors 416, a memory device 428, and a bus 418 connecting the various system components (including the memory device 428 and the processors 416).
The moxibustion robot 412 typically includes a variety of computer system readable media. These media may be any available media that can be accessed by the moxibustion robot 412 including volatile and non-volatile media, removable and non-removable media.
A program/utility 440 having a set (at least one) of program modules 442 may be stored, for instance, in storage 428, such program modules 442 including, but not limited to, an operating system, one or more application programs, other program modules, and program data, each of which examples or some combination thereof may comprise an implementation of a network environment. The program modules 442 generally perform the functions and/or methodologies of the described embodiments of the invention.
The moxibustion robot 412 may also communicate with one or more external devices 414 (e.g., keyboard, pointing terminal, display 424, etc.), with one or more terminals that enable a user to interact with the moxibustion robot 412, and/or with any terminals (e.g., network card, modem, etc.) that enable the moxibustion robot 412 to communicate with one or more other computing terminals. Such communication may occur via input/output (I/O) interfaces 422. Also, the moxibustion robot 412 can communicate with one or more networks (e.g., a Local Area Network (LAN), a Wide Area Network (WAN), and/or a public Network, such as the internet) via the Network adapter 420. As shown in fig. 2, the network adapter 420 communicates with other modules of the moxibustion robot 412 through the bus 418. It should be understood that although not shown in the figures, other hardware and/or software modules may be used in conjunction with the moxibustion robot 412, including but not limited to: microcode, end drives, Redundant processors, external disk drive Arrays, RAID (Redundant Arrays of Independent Disks) systems, tape drives, and data backup storage systems, among others.
The processor 416 executes various functional applications and data processing by running programs stored in the storage device 428, for example, implementing the acupoint identifying and positioning method provided by the embodiment of the present invention, the method includes:
s1, collecting characteristic images of a human body to be subjected to moxibustion, and performing image preprocessing;
s2, unfolding a human body acupuncture point diagram, and scanning to obtain a reference image of a preset acupuncture point;
s3, comparing the collected characteristic image with the scanned reference image to determine the acupuncture point information of the human body to be moxibustion;
and S4, uploading and storing the acupuncture point information of the human body to be moxibustion.
Example four
The present embodiment provides a computer-readable storage medium, on which a computer program is stored, where the computer program, when executed by a processor, implements the method for identifying and positioning acupuncture points according to the embodiments of the present invention, where the method includes:
s1, collecting characteristic images of a human body to be subjected to moxibustion, and performing image preprocessing;
s2, unfolding a human body acupuncture point diagram, and scanning to obtain a reference image of a preset acupuncture point;
s3, comparing the collected characteristic image with the scanned reference image to determine the acupuncture point information of the human body to be moxibustion;
and S4, uploading and storing the acupuncture point information of the human body to be moxibustion.
Computer storage media for embodiments of the invention may employ any combination of one or more computer-readable media. The computer readable medium may be a computer readable signal medium or a computer readable storage medium. A computer readable storage medium may be, for example, but not limited to, an electronic, magnetic, optical, electromagnetic, infrared, or semiconductor system, apparatus, or device, or any combination of the foregoing. More specific examples (a non-exhaustive list) of the computer readable storage medium would include the following: an electrical connection having one or more wires, a portable computer diskette, a hard disk, a Random Access Memory (RAM), a read-only memory (ROM), an erasable programmable read-only memory (EPROM or flash memory), an optical fiber, a portable compact disc read-only memory (CD-ROM), an optical storage device, a magnetic storage device, or any suitable combination of the foregoing. In the context of this document, a computer readable storage medium may be any tangible medium that can contain, or store a program for use by or in connection with an instruction execution system, apparatus, or device.
A computer readable signal medium may include a propagated data signal with computer readable program code embodied therein, for example, in baseband or as part of a carrier wave. Such a propagated data signal may take many forms, including, but not limited to, electro-magnetic, optical, or any suitable combination thereof. A computer readable signal medium may also be any computer readable medium that is not a computer readable storage medium and that can communicate, propagate, or transport a program for use by or in connection with an instruction execution system, apparatus, or device.
Program code embodied on a computer readable medium may be transmitted using any appropriate medium, including but not limited to wireless, wireline, optical fiber cable, RF, etc., or any suitable combination of the foregoing.
Computer program code for carrying out operations for aspects of the present invention may be written in any combination of one or more programming languages, including an object oriented programming language such as Java, Smalltalk, C + + or the like and conventional procedural programming languages, such as the "C" programming language or similar programming languages. The program code may execute entirely on the user's computer, partly on the user's computer, as a stand-alone software package, partly on the user's computer and partly on a remote computer or entirely on the remote computer or terminal. In the case of a remote computer, the remote computer may be connected to the user's computer through any type of network, including a Local Area Network (LAN) or a Wide Area Network (WAN), or the connection may be made to an external computer (for example, through the Internet using an Internet service provider).
It is to be noted that the foregoing is only illustrative of the preferred embodiments of the present invention and the technical principles employed. It will be understood by those skilled in the art that the present invention is not limited to the particular embodiments described herein, but is capable of various obvious changes, rearrangements and substitutions as will now become apparent to those skilled in the art without departing from the scope of the invention. Therefore, although the present invention has been described in greater detail by the above embodiments, the present invention is not limited to the above embodiments, and may include other equivalent embodiments without departing from the spirit of the present invention, and the scope of the present invention is determined by the scope of the appended claims.
Claims (10)
1. An acupuncture point identification and positioning method is characterized by comprising the following steps:
s1, collecting characteristic images of a human body to be subjected to moxibustion, and performing image preprocessing;
s2, unfolding a human body acupuncture point diagram, and scanning to obtain a reference image of a preset acupuncture point;
s3, comparing the collected characteristic image with the scanned reference image to determine the acupuncture point information of the human body to be moxibustion;
and S4, uploading and storing the acupuncture point information of the human body to be moxibustion.
2. The acupuncture point identification and positioning method according to claim 1, wherein the identification information of the human body to be moxibustion is acquired and the common acupuncture point information is provided.
3. The acupoint identification and positioning method according to claim 1, wherein the image data is subjected to noise reduction processing by median filtering and gaussian filtering, and the luminance difference of the image data is eliminated by histogram equalization.
4. The acupoint identification and positioning method according to claim 1, wherein when the body part of the user is the positive side of the upper limb, the Shangyang acupoint, the Guanchong acupoint and the Shaozi acupoint are used as characteristic acupoint reference points; when the body part of the user is the shade of the upper limb, the Shaoshan acupoint, the Zhongchong acupoint and the Shaoshan acupoint are taken as the characteristic acupoint reference points; when the body parts of the user are the head, the chest, the abdomen, the hypochondrium and the lower limb, the leucorrhea acupoint, the Dadun acupoint, the Liduhui acupoint, the foot-Qiaoyin acupoint, the Zhiyin acupoint, the Shenque acupoint and the Qingming acupoint are used as characteristic acupoint reference points; when the body part of the user is the chest and the back, the Dazhui acupoint is taken as a characteristic acupoint reference point.
5. An acupuncture point identification and positioning system, comprising:
the depth camera is used for acquiring a characteristic image of a human body to be subjected to moxibustion;
the scanning module is used for scanning and acquiring a reference image of a preset acupuncture point of a human body acupuncture point diagram;
the comparison module is used for comparing the collected characteristic image with the scanned reference image so as to determine the acupuncture point information of the human body to be subjected to moxibustion;
and the unfolding device is used for unfolding the human body acupuncture point diagram.
6. The acupuncture point recognition and positioning system according to claim 5, wherein the unfolding device comprises a storage box, a first support and a second support, the storage box is used for storing the human acupuncture point map, the distance between the first support and the second support is adjustable, the storage box is arranged on the first support, one side of the human acupuncture point map is connected into the storage box, and the other side of the human acupuncture point map is connected onto the second support.
7. The acupuncture point recognizing and positioning system according to claim 6, wherein support bars and screws are respectively disposed on two sides of the acupuncture point diagram, and the support bars are rotatably connected to the storage box or the second support through the screws.
8. The acupoint identification and positioning system of claim 6, wherein the deployment device further comprises a flexible arm and a moxibustion box, wherein the moxibustion box is connected to the first bracket or the second bracket through the flexible arm.
9. A moxibustion robot, characterized in that the moxibustion robot comprises:
one or more processors;
storage means for storing one or more programs;
when executed by the one or more processors, cause the one or more processors to implement the method of acupuncture point identification and location according to any one of claims 1-4.
10. A computer-readable storage medium, on which a computer program is stored, which, when being executed by a processor, implements the acupoint identification and positioning method according to any one of claims 1-4.
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Cited By (3)
| Publication number | Priority date | Publication date | Assignee | Title |
|---|---|---|---|---|
| CN113842116A (en) * | 2021-10-14 | 2021-12-28 | 北京鹰之眼智能健康科技有限公司 | Automatic positioning method and device for human acupuncture points and electronic equipment |
| CN114010494A (en) * | 2021-10-25 | 2022-02-08 | 合肥市诚悦实验设备有限公司 | Intelligent moxibustion physiotherapy bed control method and system based on PLC |
| CN114712221A (en) * | 2022-03-31 | 2022-07-08 | 青岛虚拟现实研究院有限公司 | Intelligent head-mounted equipment and eyestrain prevention and relief method thereof |
Citations (9)
| Publication number | Priority date | Publication date | Assignee | Title |
|---|---|---|---|---|
| CN103735407A (en) * | 2014-02-13 | 2014-04-23 | 黑龙江中医药大学 | Human body ear acupuncture point positioning method and device |
| JP2015036693A (en) * | 2013-08-11 | 2015-02-23 | アイレック技建株式会社 | Compact signboard for horizontal sliding |
| CN107731276A (en) * | 2017-10-28 | 2018-02-23 | 郭宣睿 | A kind of moxibustion acupuncture point alignment system and implementation method based on cloud computing and big data |
| CN207718823U (en) * | 2017-10-28 | 2018-08-10 | 郭宣睿 | A kind of moxibustion acupuncture point positioning system based on cloud computing and big data |
| CN108514509A (en) * | 2018-03-30 | 2018-09-11 | 吴佳桐 | A kind of intelligence acupuncture point localization method |
| CN109481285A (en) * | 2018-12-25 | 2019-03-19 | 杭州电子科技大学 | Meridian point identifies alignment device and method |
| CN109875875A (en) * | 2018-04-19 | 2019-06-14 | 上海源胜文化传播有限公司 | A kind of human acupoint intelligent positioning system and localization method |
| CN110232318A (en) * | 2019-05-06 | 2019-09-13 | 平安科技（深圳）有限公司 | Acupuncture point recognition methods, device, electronic equipment and storage medium |
| CN112507988A (en) * | 2021-02-04 | 2021-03-16 | 联仁健康医疗大数据科技股份有限公司 | Image processing method and device, storage medium and electronic equipment |
-
2021
- 2021-03-19 CN CN202110297575.4A patent/CN112957249A/en active Pending
Patent Citations (9)
| Publication number | Priority date | Publication date | Assignee | Title |
|---|---|---|---|---|
| JP2015036693A (en) * | 2013-08-11 | 2015-02-23 | アイレック技建株式会社 | Compact signboard for horizontal sliding |
| CN103735407A (en) * | 2014-02-13 | 2014-04-23 | 黑龙江中医药大学 | Human body ear acupuncture point positioning method and device |
| CN107731276A (en) * | 2017-10-28 | 2018-02-23 | 郭宣睿 | A kind of moxibustion acupuncture point alignment system and implementation method based on cloud computing and big data |
| CN207718823U (en) * | 2017-10-28 | 2018-08-10 | 郭宣睿 | A kind of moxibustion acupuncture point positioning system based on cloud computing and big data |
| CN108514509A (en) * | 2018-03-30 | 2018-09-11 | 吴佳桐 | A kind of intelligence acupuncture point localization method |
| CN109875875A (en) * | 2018-04-19 | 2019-06-14 | 上海源胜文化传播有限公司 | A kind of human acupoint intelligent positioning system and localization method |
| CN109481285A (en) * | 2018-12-25 | 2019-03-19 | 杭州电子科技大学 | Meridian point identifies alignment device and method |
| CN110232318A (en) * | 2019-05-06 | 2019-09-13 | 平安科技（深圳）有限公司 | Acupuncture point recognition methods, device, electronic equipment and storage medium |
| CN112507988A (en) * | 2021-02-04 | 2021-03-16 | 联仁健康医疗大数据科技股份有限公司 | Image processing method and device, storage medium and electronic equipment |
Cited By (3)
| Publication number | Priority date | Publication date | Assignee | Title |
|---|---|---|---|---|
| CN113842116A (en) * | 2021-10-14 | 2021-12-28 | 北京鹰之眼智能健康科技有限公司 | Automatic positioning method and device for human acupuncture points and electronic equipment |
| CN114010494A (en) * | 2021-10-25 | 2022-02-08 | 合肥市诚悦实验设备有限公司 | Intelligent moxibustion physiotherapy bed control method and system based on PLC |
| CN114712221A (en) * | 2022-03-31 | 2022-07-08 | 青岛虚拟现实研究院有限公司 | Intelligent head-mounted equipment and eyestrain prevention and relief method thereof |
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