CN112037907A - System for prompting stroke risk based on facial features - Google Patents
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Abstract
The invention discloses a system for prompting stroke risks based on facial features, which is used for obtaining stroke treatment in advance by predicting the stroke risks. The technical scheme is as follows: the system comprises a memory, a processor and a terminal, wherein the terminal comprises an image acquisition device, and the image acquisition device is used for acquiring face image information and transmitting the face image information to the memory; the memory stores the face image information and the data of the face feature model transmitted by the image acquisition equipment; the processor is internally provided with a detection and analysis module which receives the face real-time image information and the data of the face feature model sent by the memory and judges whether the risk of stroke exists in the face real-time image or not based on the face feature model.
Description
Technical Field
The invention relates to a stroke risk prompting system, in particular to a system for prompting stroke risk based on facial features.
Background
Sudden facial morphology changes (e.g., facial distortion) may indicate an acute change in health and require immediate delivery to a conditioned medical facility for professional diagnosis. The shorter the time interval from the occurrence of a physical abnormality to effective treatment by medical personnel, the better, it is often considered "prime time" to improve chances of survival and quality of life.
On the one hand, China is a big country with cerebral apoplexy (commonly called apoplexy). At present, about 1800 million stroke patients exist in China, 180 million new stroke patients occur every year, and the number of patients dying of stroke per year reaches 150 million. With the great change of life style, the cardiovascular and cerebrovascular diseases are rapidly increased, wherein the cerebrovascular diseases exceed tumors and coronary heart diseases, the diseases are the first in death and disability in China, and the morbidity still rises at a rate close to 9% every year at present. International comparative studies suggest: the incidence and the death rate of the cerebrovascular diseases of Chinese population are higher than the international average level, and are only second to a few countries such as the former Soviet Union or eastern Europe and the like. Cerebrovascular diseases cause huge economic losses to China and society due to high morbidity, high recurrence rate, high disability rate, high mortality and higher prevention and treatment costs, and become important public health problems seriously affecting the national civilization of China.
On the other hand, when the residents have emergency situations, no one can find and send medical treatment in time, so that the emergency efficiency in China is at a lower level in the world.
Stroke is a disease with significant foreboding that allows effective early intervention. The Facet Arm language Test (Face Arm language Test-FAST) proposed in the United states in 2007 is rapidly popularized to 28 countries and regions, and the death rate of stroke is effectively reduced. Although FAST is simple and easy to implement, its operations in china are often performed by pre-hospital emergency personnel upon arrival at the site, rather than by the patient himself or a family at his or her side, which often delays the optimal gold rescue time.
Therefore, it is an urgent need in the art to develop a device capable of effectively prompting a possible stroke.
Disclosure of Invention
The following presents a simplified summary of one or more aspects in order to provide a basic understanding of such aspects. This summary is not an extensive overview of all contemplated aspects, and is intended to neither identify key or critical elements of all aspects nor delineate the scope of any or all aspects. Its sole purpose is to present some concepts of one or more aspects in a simplified form as a prelude to the more detailed description that is presented later.
The invention aims to solve the problems and provides a system for prompting stroke risk based on facial features, which can be used for obtaining stroke treatment in advance by predicting the stroke risk.
The technical scheme of the invention is as follows: the invention discloses a system for prompting stroke risk based on facial features, which comprises a memory, a processor and a terminal, wherein the terminal comprises an image acquisition device, wherein:
the image acquisition equipment is used for acquiring the face image information and transmitting the face image information to the memory;
the memory is used for storing the face image information and the data of the face feature model transmitted by the image acquisition equipment;
the processor is internally provided with a detection and analysis module which receives the face real-time image information and the data of the face feature model sent by the memory and judges whether the risk of stroke exists in the face real-time image or not based on the face feature model.
According to an embodiment of the system for stroke risk based on facial features of the present invention, the image capturing device captures a continuous video stream of real-time images of the face.
According to an embodiment of the system for stroke risk based facial feature cues, the detection analysis module is configured to: acquiring face images of various tested persons; capturing face data from a face image, wherein the face data comprises a plurality of facial feature points of a face; and for each face, calculating an asymmetry comprehensive index based on the face data, and prompting the stroke risk according to a comparison result of the calculated asymmetry comprehensive index and a preset threshold value.
According to an embodiment of the system for prompting stroke risk based on facial features of the present invention, the process of calculating the asymmetry synthesis indicator at the detection analysis module is further configured to: obtaining the eye corner and mouth corner data of the human face; calculating an canthus asymmetry index and a mouth angle asymmetry index by using relative coordinates of position points of a top point of a nose bridge, a human middle part, an canthus and a mouth angle; and summing the eye angle asymmetry index and the mouth angle asymmetry index to calculate an asymmetry comprehensive index.
According to an embodiment of the system for prompting the stroke risk based on the facial features, the user terminal comprises a loudspeaker, the processor sends a signal to the loudspeaker after discovering the abnormality, and the risk prompting is carried out on the user through the loudspeaker.
According to an embodiment of the system for prompting stroke risk based on facial features of the present invention, the memory stores address book data, the processor is provided with an alarm module, the alarm module receives an abnormal signal from the detection and analysis module and then takes out a preset number from the address book to notify a mobile phone user, and the notification method includes, but is not limited to, dialing, sending a WeChat, sending a short message, and sending an email.
Compared with the prior art, the invention has the following beneficial effects: the system acquires the positions of all facial feature points in the face by acquiring the face image information, calculates the asymmetry index according to the position coordinates, and obtains the prompt of stroke risk according to the comparison of the index and the preset threshold value. Compared with the prior art, the system can realize automation and intellectualization for the pre-judgment processing of the stroke risk, so that a user can obtain the opportunity of early treatment and cure of the stroke.
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The above features and advantages of the present disclosure will be better understood upon reading the detailed description of embodiments of the disclosure in conjunction with the following drawings. In the drawings, components are not necessarily drawn to scale, and components having similar relative characteristics or features may have the same or similar reference numerals.
Fig. 1 shows a schematic diagram of an embodiment of the system for stroke risk notification based on facial features of the present invention.
FIG. 2 shows a schematic diagram of one example of facial feature keypoints.
Fig. 3A and 3B show schematic diagrams of the detection module in the system of the present invention.
FIG. 4 shows a schematic diagram of the Ue value determination of the present invention.
Detailed Description
The invention is described in detail below with reference to the figures and specific embodiments. It is noted that the aspects described below in connection with the figures and the specific embodiments are only exemplary and should not be construed as imposing any limitation on the scope of the present invention.
Fig. 1 illustrates the principle of an embodiment of the system for facial feature based stroke risk alerting of the present invention. The system of the embodiment comprises: a memory, a processor and a terminal. The terminal comprises image acquisition equipment and a user terminal used for displaying prompt information.
The image acquisition equipment is used for acquiring face image information. Preferably, the real-time face image is acquired by continuous video stream data and transmitted to the memory for storage.
The storage module also stores a facial feature model.
The processor is internally provided with a detection and analysis module which receives the face real-time image information and the data of the face feature model sent by the memory and judges whether the risk of stroke exists in the face real-time image or not based on the face feature model.
Specifically, the detection and analysis module has the following processing flow:
first, a real-time image of the tested person containing the face is obtained by using the videoadaptation function of the OpenCV tool. OpenCV is known as Open Source Computer Vision Library, a cross-platform Computer Vision Library. OpenCV was initiated and developed by intel corporation and issued with BSD license authorization and is available for free use in business and research areas. OpenCV may be used to develop real-time image processing, computer vision, and pattern recognition programs.
Second, the trained face data model is loaded. For example, dlib is a widely used open source tool box that contains rich machine learning algorithms, tools, and facial feature point data sets containing 68 keypoints. The relevant resources may be downloaded from the Github or dlib official website: net/files, shape _ predictor _68_ face _ landworks. dat. bz 2. See fig. 2.
For pictures taken from a video stream, 68 feature points are identified on a frame-by-frame basis using the predictor get _ front _ face _ detector of dlib. The following processing is performed to calculate the degree of symmetry of the face shown therein:
1) position data of points in which the face reference points (points 1, 17), the corners of the eyes ( points 37, 40, 43, 46), the corners of the mouth (points 49, 55), the middle of the person (point 52), and the like are obtained, and (h, w) is expressed in terms of height h and width w relative to the upper left corner.
2) A straight line connecting point 1 and point 17 (denoted as L1(1, 17)) is taken as a reference line. The two points are positioned on the temporal bone and are not easy to shift along with the facial deformation. The symmetry Ue1 of the 2 pairs of canthus connecting lines L3(37, 40) and L4(43, 46) with respect to L1(1, 17) is derived and calculated. See fig. 3A. The calculation method is as follows:
(1) calculate the slope absolute value of L1: s1 ═ h17-h1)/(w17-w 1-
(2) Calculate the absolute value of the slope of L3: s3 ═ h40-h37)/(w40-w 37-
(3) Calculating the absolute value of the tangent value of the included angle A1 between L1 and L3 according to the formula of the difference angle:
|tan A1|＝|(S1–S3)/(1+S1*S3)|
(4) the absolute value of the tangent of L1, L4 angle a2 can be calculated as above:
i tan a2| (S1-S4)/(1 + S1 ═ S4) |. Wherein,
|S4|＝|(h46-h43)/(w46-w43)|
(5) the degree of asymmetry Ue1 of L3, L4 with respect to L1 is defined. There are two cases:
case 1: when L3 and L4 are on the same side of L1, Ue 1| | | tan a2| - | tan a1| | survival
Case 2: when L3, L4 are on different sides of L1, Ue 1| | | tan a2| + | tan a1| | survival
3) Similarly, the symmetry Ue2 of 2 mouth corners-human median lines (L5(49, 52), L6(52, 55)) with respect to L1(1, 17) was derived and calculated.
Case 1: when L5 and L6 are on the same side of L1, Ue2 ═ tan a 4-tan A3 cells
Case 2: when L5 and L6 are on different sides of L1, Ue2 ═ tan a4+ tan A3 cells
The calculation methods of tan A4 and tan A3 are the same as 2).
4) The two sets of asymmetries were summed as a measure of the degree of asymmetry of the entire face:
Ue＝Ue1+Ue2
5) comparing Ue with a preset threshold parameter Ue _ REF: and if Ue is greater than Ue _ REF, the asymmetry of the face is considered to be serious, and the communication alarm module is driven to finish the face detection.
Ue _ REF is a configurable parameter. The key point of the invention is to judge the change value of the instantaneous image relative to the Ue _ REF. Face of "absolute symmetry" has a value of 0; when a specific individual is detected and calculated by the method in the normal state, a more accurate Ue _ REF reference value can be obtained. The Ue _ REF reference value is obtained by switching the general control module in the processor to the configuration mode, and detecting and calculating by the configuration module. And in the real-time detection and analysis of the face image, the main control module is switched to a detection and analysis mode to control the detection and analysis module to process.
And the processing of the prompt risk is that the processor sends a signal to a user terminal for displaying prompt information, and the prompt information is displayed to a user on the user terminal. The user terminal includes a speaker and the like.
Preferably, the storage module stores the address book information. An alarm module is arranged in the processor. After receiving the abnormal signal, the alarm module takes out the preset number from the address list of the memory to dial, send the WeChat, send the short message, send the E-mail and so on, and informs the mobile phone user.
While, for purposes of simplicity of explanation, the methodologies are shown and described as a series of acts, it is to be understood and appreciated that the methodologies are not limited by the order of acts, as some acts may, in accordance with one or more embodiments, occur in different orders and/or concurrently with other acts from that shown and described herein or not shown and described herein, as would be understood by one skilled in the art.
Those of skill would further appreciate that the various illustrative logical blocks, modules, circuits, and algorithm steps described in connection with the embodiments disclosed herein may be implemented as electronic hardware, computer software, or combinations of both. To clearly illustrate this interchangeability of hardware and software, various illustrative components, blocks, modules, circuits, and steps have been described above generally in terms of their functionality. Whether such functionality is implemented as hardware or software depends upon the particular application and design constraints imposed on the overall system. Skilled artisans may implement the described functionality in varying ways for each particular application, but such implementation decisions should not be interpreted as causing a departure from the scope of the present invention.
The various illustrative logical blocks, modules, and circuits described in connection with the embodiments disclosed herein may be implemented or performed with a general purpose processor, a Digital Signal Processor (DSP), an Application Specific Integrated Circuit (ASIC), a Field Programmable Gate Array (FPGA) or other programmable logic device, discrete gate or transistor logic, discrete hardware components, or any combination thereof designed to perform the functions described herein. A general purpose processor may be a microprocessor, but in the alternative, the processor may be any conventional processor, controller, microcontroller, or state machine. A processor may also be implemented as a combination of computing devices, e.g., a combination of a DSP and a microprocessor, a plurality of microprocessors, one or more microprocessors in conjunction with a DSP core, or any other such configuration.
The steps of a method or algorithm described in connection with the embodiments disclosed herein may be embodied directly in hardware, in a software module executed by a processor, or in a combination of the two. A software module may reside in RAM memory, flash memory, ROM memory, EPROM memory, EEPROM memory, registers, hard disk, a removable disk, a CD-ROM, or any other form of storage medium known in the art. An exemplary storage medium is coupled to the processor such the processor can read information from, and write information to, the storage medium. In the alternative, the storage medium may be integral to the processor. The processor and the storage medium may reside in an ASIC. The ASIC may reside in a user terminal. In the alternative, the processor and the storage medium may reside as discrete components in a user terminal.
In one or more exemplary embodiments, the functions described may be implemented in hardware, software, firmware, or any combination thereof. If implemented in software as a computer program product, the functions may be stored on or transmitted over as one or more instructions or code on a computer-readable medium. Computer-readable media includes both computer storage media and communication media including any medium that facilitates transfer of a computer program from one place to another. A storage media may be any available media that can be accessed by a computer. By way of example, and not limitation, such computer-readable media can comprise RAM, ROM, EEPROM, CD-ROM or other optical disk storage, magnetic disk storage or other magnetic storage devices, or any other medium that can be used to carry or store desired program code in the form of instructions or data structures and that can be accessed by a computer. Any connection is properly termed a computer-readable medium. For example, if the software is transmitted from a web site, server, or other remote source using a coaxial cable, fiber optic cable, twisted pair, Digital Subscriber Line (DSL), or wireless technologies such as infrared, radio, and microwave, then the coaxial cable, fiber optic cable, twisted pair, DSL, or wireless technologies such as infrared, radio, and microwave are included in the definition of medium. Disk (disk) and disc (disc), as used herein, includes Compact Disc (CD), laser disc, optical disc, Digital Versatile Disc (DVD), floppy disk and blu-ray disc where disks (disks) usually reproduce data magnetically, while discs (discs) reproduce data optically with lasers. Combinations of the above should also be included within the scope of computer-readable media.
The previous description of the disclosure is provided to enable any person skilled in the art to make or use the disclosure. Various modifications to the disclosure will be readily apparent to those skilled in the art, and the generic principles defined herein may be applied to other variations without departing from the spirit or scope of the disclosure. Thus, the disclosure is not intended to be limited to the examples and designs described herein but is to be accorded the widest scope consistent with the principles and novel features disclosed herein.
Claims (6)
1. The utility model provides a system for based on facial feature suggestion stroke risk which characterized in that, the system includes memory, treater and terminal, and the terminal includes image acquisition equipment, wherein:
the image acquisition equipment is used for acquiring the face image information and transmitting the face image information to the memory;
the memory is used for storing the face image information and the data of the face feature model transmitted by the image acquisition equipment;
the processor is internally provided with a detection and analysis module which receives the face real-time image information and the data of the face feature model sent by the memory and judges whether the risk of stroke exists in the face real-time image or not based on the face feature model.
2. The system for facial feature based alert of stroke risk as recited in claim 1, wherein the image capturing device captures a continuous video stream of real time images of the face.
3. The system of claim 1, wherein the detection analysis module is configured to: acquiring face images of various tested persons; capturing face data from a face image, wherein the face data comprises a plurality of facial feature points of a face; and for each face, calculating an asymmetry comprehensive index based on the face data, and prompting the stroke risk according to a comparison result of the calculated asymmetry comprehensive index and a preset threshold value.
4. The system of claim 3, wherein the process of calculating an asymmetry synthesis indicator at the detection analysis module is further configured to: obtaining the eye corner and mouth corner data of the human face; calculating an canthus asymmetry index and a mouth angle asymmetry index by using relative coordinates of position points of a top point of a nose bridge, a human middle part, an canthus and a mouth angle; and summing the eye angle asymmetry index and the mouth angle asymmetry index to calculate an asymmetry comprehensive index.
5. The system for prompting stroke risk based on facial features of claim 1, wherein the user terminal comprises a speaker, and the processor sends a signal to the speaker after detecting the abnormality, so as to prompt the user for the risk through the speaker.
6. The system for prompting stroke risk based on facial features as claimed in claim 1, wherein the memory stores address book data, the processor is provided with an alarm module, and the alarm module receives the abnormal signal from the detection and analysis module and then takes out a preset number from the address book to notify the mobile phone user, wherein the notification mode includes but is not limited to dialing/sending WeChat/sending SMS/sending E-mail.
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| CN118379781A (en) * | 2024-06-26 | 2024-07-23 | 南昌大学第二附属医院 | Damping-off face recognition method and device based on damping-off face recognition model |
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Inventor after: Huang Hongmei Inventor after: Xie Su Inventor after: Zhou Nian Inventor before: Huang Hongmei Inventor before: Xie Su |
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Application publication date: 20201204 |