CN110169759B

CN110169759B - Blood temperature detection method and related product

Info

Publication number: CN110169759B
Application number: CN201910452739.9A
Authority: CN
Inventors: 张海平
Original assignee: Guangdong Oppo Mobile Telecommunications Corp Ltd
Current assignee: Guangdong Oppo Mobile Telecommunications Corp Ltd
Priority date: 2019-05-28
Filing date: 2019-05-28
Publication date: 2022-03-11
Anticipated expiration: 2039-05-28
Also published as: CN110169759A

Abstract

The embodiment of the application discloses blood temperature detection method and related products, and is applied to electronic equipment, and the electronic equipment comprises a vein recognition module, wherein the method comprises the following steps: carrying out vein collection on a preset part of a target object through the vein recognition module to obtain a vein image; carrying out feature extraction on the vein image to obtain a target feature set; and determining a target blood temperature value of the preset part according to the target feature set. By adopting the embodiment of the application, the blood temperature detection can be realized through the vein image, and the practical value of the vein recognition technology is improved.

Description

Blood temperature detection method and related product

Technical Field

The application relates to the technical field of electronic equipment, in particular to a blood temperature detection method and a related product.

Background

With the widespread use of electronic devices (such as mobile phones, tablet computers, and the like), the electronic devices have more and more applications and more powerful functions, and the electronic devices are developed towards diversification and personalization, and become indispensable electronic products in the life of users.

As for electronic devices, security has always been the focus of electronic devices, and as technology has developed, vein recognition technology has also become popular biometric recognition technology for electronic devices, but most of the existing vein recognition technology is applied to unlocking, and therefore, the practical value of vein recognition technology is reduced.

Disclosure of Invention

The embodiment of the application provides a blood temperature detection method and a related product, which can realize blood temperature detection through a vein recognition technology and improve the practical value of the vein recognition technology.

In a first aspect, an embodiment of the present application provides an electronic device, which includes a vein recognition module and a processing circuit, wherein,

the vein recognition module is used for carrying out vein collection on a preset part of the target object to obtain a vein image;

the processing circuit is used for extracting the features of the vein image to obtain a target feature set; and determining a target blood temperature value of the preset part according to the target feature set.

In a second aspect, an embodiment of the present application provides a blood temperature detection method, which is applied to an electronic device, where the electronic device includes a vein identification module, and the method includes:

carrying out vein collection on a preset part of a target object through the vein recognition module to obtain a vein image;

carrying out feature extraction on the vein image to obtain a target feature set;

and determining a target blood temperature value of the preset part according to the target feature set.

In a third aspect, an embodiment of the present application provides a blood temperature detection device, which is applied to an electronic device, where the electronic device includes a vein identification module, and the device includes:

the acquisition unit is used for carrying out vein acquisition on a preset part of the target object through the vein identification module to obtain a vein image;

the extraction unit is used for extracting the features of the vein image to obtain a target feature set;

and the determining unit is used for determining the target blood temperature value of the preset part according to the target feature set.

In a fourth aspect, an embodiment of the present application provides an electronic device, including a processor, a memory, a communication interface, and one or more programs, where the one or more programs are stored in the memory and configured to be executed by the processor, and the program includes instructions for executing the steps in the second aspect of the embodiment of the present application.

In a fifth aspect, the present application provides a computer-readable storage medium, where the computer-readable storage medium stores a computer program for electronic data exchange, where the computer program makes a computer perform some or all of the steps described in the second aspect of the present application.

In a sixth aspect, embodiments of the present application provide a computer program product, where the computer program product includes a non-transitory computer-readable storage medium storing a computer program, where the computer program is operable to cause a computer to perform some or all of the steps as described in the second aspect of embodiments of the present application. The computer program product may be a software installation package.

The blood temperature detection method and the related products described in the embodiment of the application can be seen to be applied to electronic equipment, the electronic equipment comprises a vein recognition module, the vein recognition module is used for carrying out vein collection on the preset part of a target object to obtain a vein image, the vein image is subjected to feature extraction to obtain a target feature set, and the target blood temperature value of the preset part is determined according to the target feature set.

Drawings

In order to more clearly illustrate the embodiments of the present application or the technical solutions in the prior art, the drawings used in the description of the embodiments or the prior art will be briefly described below, it is obvious that the drawings in the following description are only some embodiments of the present application, and for those skilled in the art, other drawings can be obtained according to the drawings without creative efforts.

Fig. 1A is a schematic structural diagram of an electronic device according to an embodiment of the present disclosure;

fig. 1B is a schematic flow chart of a blood temperature detection method according to an embodiment of the present disclosure;

fig. 1C is a schematic diagram illustrating a demonstration of blood temperature detection based on two pairs of feature points according to an embodiment of the present application;

FIG. 2 is a schematic flow chart of another method for detecting blood temperature according to an embodiment of the present disclosure;

fig. 3 is a schematic structural diagram of another electronic device provided in an embodiment of the present application;

fig. 4 is a block diagram illustrating functional units of a blood temperature detection device according to an embodiment of the present disclosure.

Detailed Description

In order to make the technical solutions of the present application better understood, the technical solutions in the embodiments of the present application will be clearly and completely described below with reference to the drawings in the embodiments of the present application, and it is obvious that the described embodiments are only a part of the embodiments of the present application, 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 application.

The terms "first," "second," and the like in the description and claims of the present application and in the above-described drawings are used for distinguishing between different objects and not for describing a particular order. Furthermore, the terms "include" and "have," as well as any variations thereof, are intended to cover non-exclusive inclusions. For example, a process, method, system, article, or apparatus that comprises a list of steps or elements is not limited to only those steps or elements listed, but may alternatively include other steps or elements not listed, or inherent to such process, method, article, or apparatus.

Reference herein to "an embodiment" means that a particular feature, structure, or characteristic described in connection with the embodiment can be included in at least one embodiment of the application. The appearances of the phrase in various places in the specification are not necessarily all referring to the same embodiment, nor are separate or alternative embodiments mutually exclusive of other embodiments. It is explicitly and implicitly understood by one skilled in the art that the embodiments described herein can be combined with other embodiments.

The electronic device related to the embodiments of the present application may include various handheld devices, vehicle-mounted devices, wearable devices (smart watches, smart bracelets, wireless headsets, augmented reality/virtual reality devices, smart glasses), computing devices or other processing devices connected to wireless modems, and various forms of User Equipment (UE), Mobile Stations (MS), terminal devices (terminal device), and the like, which have wireless communication functions.

The following describes embodiments of the present application in detail.

Referring to fig. 1A, fig. 1A is a schematic structural diagram of an electronic device disclosed in an embodiment of the present application, the electronic device 100 includes a storage and processing circuit 110, and a sensor 170 connected to the storage and processing circuit 110, the sensor 170 includes a camera, where:

the electronic device 100 may include control circuitry, which may include storage and processing circuitry 110. The storage and processing circuitry 110 may be a memory, such as a hard drive memory, a non-volatile memory (e.g., flash memory or other electronically programmable read-only memory used to form a solid state drive, etc.), a volatile memory (e.g., static or dynamic random access memory, etc.), etc., and the embodiments of the present application are not limited thereto. Processing circuitry in storage and processing circuitry 110 may be used to control the operation of electronic device 100. The processing circuitry may be implemented based on one or more microprocessors, microcontrollers, digital signal processors, baseband processors, power management units, audio codec chips, application specific integrated circuits, display driver integrated circuits, and the like.

The storage and processing circuitry 110 may be used to run software in the electronic device 100, such as an Internet browsing application, a Voice Over Internet Protocol (VOIP) telephone call application, an email application, a media playing application, operating system functions, and so forth. Such software may be used to perform control operations such as, for example, camera-based image capture, ambient light measurement based on an ambient light sensor, proximity sensor measurement based on a proximity sensor, information display functionality based on status indicators such as status indicator lights of light emitting diodes, touch event detection based on a touch sensor, functionality associated with displaying information on multiple (e.g., layered) display screens, operations associated with performing wireless communication functionality, operations associated with collecting and generating audio signals, control operations associated with collecting and processing button press event data, and other functions in the electronic device 100, to name a few.

The electronic device 100 may include input-output circuitry 150. The input-output circuit 150 may be used to enable the electronic device 100 to input and output data, i.e., to allow the electronic device 100 to receive data from an external device and also to allow the electronic device 100 to output data from the electronic device 100 to the external device. The input-output circuit 150 may further include a sensor 170. Sensor 170 vein identification module, can also include ambient light sensor, proximity sensor based on light and electric capacity, fingerprint identification module, touch sensor (for example, based on light touch sensor and/or capacitanc touch sensor, wherein, touch sensor can be touch-control display screen's partly, also can regard as a touch sensor structure independent utility), acceleration sensor, the camera, and other sensors etc. the camera can be leading camera or rear camera, fingerprint identification module can integrate in the display screen below, be used for gathering the fingerprint image, fingerprint identification module can be following at least one: optical fingerprint identification module, or ultrasonic fingerprint identification module etc. do not do the restriction here.

Wherein, vein identification module can be integratedly set up in the display screen below, and perhaps, vein identification module still can set up in the electronic equipment casing back, and perhaps, vein identification module can set up in electronic equipment's side. Specifically, vein identification module can include infrared lamp and vein image acquisition module, and the infrared lamp can launch the infrared light, and when the skin of infrared light irradiation human vein, the skin can be passed to the infrared light, and the vein can produce the reflection to form vein line image, thereby, accessible vein image acquisition module collection vein image.

Input-output circuit 150 may also include one or more display screens, such as display screen 130. The display 130 may include one or a combination of liquid crystal display, organic light emitting diode display, electronic ink display, plasma display, display using other display technologies. The display screen 130 may include an array of touch sensors (i.e., the display screen 130 may be a touch display screen). The touch sensor may be a capacitive touch sensor formed by a transparent touch sensor electrode (e.g., an Indium Tin Oxide (ITO) electrode) array, or may be a touch sensor formed using other touch technologies, such as acoustic wave touch, pressure sensitive touch, resistive touch, optical touch, and the like, and the embodiments of the present application are not limited thereto.

The electronic device 100 may also include an audio component 140. The audio component 140 may be used to provide audio input and output functionality for the electronic device 100. The audio components 140 in the electronic device 100 may include a speaker, a microphone, a buzzer, a tone generator, and other components for generating and detecting sound.

The communication circuit 120 may be used to provide the electronic device 100 with the capability to communicate with external devices. The communication circuit 120 may include analog and digital input-output interface circuits, and wireless communication circuits based on radio frequency signals and/or optical signals. The wireless communication circuitry in communication circuitry 120 may include radio-frequency transceiver circuitry, power amplifier circuitry, low noise amplifiers, switches, filters, and antennas. For example, the wireless Communication circuitry in Communication circuitry 120 may include circuitry to support Near Field Communication (NFC) by transmitting and receiving Near Field coupled electromagnetic signals. For example, the communication circuit 120 may include a near field communication antenna and a near field communication transceiver. The communications circuitry 120 may also include a cellular telephone transceiver and antenna, a wireless local area network transceiver circuitry and antenna, and so forth.

The electronic device 100 may further include a battery, power management circuitry, and other input-output units 160. The input-output unit 160 may include buttons, joysticks, click wheels, scroll wheels, touch pads, keypads, keyboards, cameras, light emitting diodes and other status indicators, and the like.

A user may input commands through input-output circuitry 150 to control the operation of electronic device 100, and may use output data of input-output circuitry 150 to enable receipt of status information and other outputs from electronic device 100.

The electronic device described above with reference to fig. 1A may be configured to implement the following functions:

In one possible example, the set of target features includes a set of target feature points and a target vein width; in the aspect of determining the target blood temperature value of the preset portion according to the target feature set, the processing circuit is specifically configured to:

determining a preset vein template corresponding to a preset part according to a mapping relation between the preset part and the vein template;

matching the target characteristic point set with the characteristic point set of the preset vein template;

when the target characteristic point set is successfully matched with the characteristic point set of the preset vein template, acquiring a standard blood temperature value and a standard vein width corresponding to the preset vein template;

determining a deviation value between the target vein width and the standard vein width;

and determining a target blood temperature value according to the deviation value and the standard blood temperature value.

In one possible example, when the target feature set includes a target vein width, in the aspect of performing feature extraction on the vein image to obtain the target feature set, the processing circuit is specifically configured to:

carrying out image segmentation on the vein image to obtain a vein area image;

dividing the vein region image into a plurality of regions to obtain a plurality of region images;

determining the width of each region image in the plurality of region images to obtain a plurality of widths;

taking a maximum value of the plurality of widths as the target vein width.

In one possible example, when the set of target features includes a set of target feature points, the processing circuit is specifically configured to, in the determining the target blood temperature value of the preset site according to the set of target features:

acquiring a target environment temperature;

acquiring a preset vein template set corresponding to the preset part, wherein the preset vein template set comprises a plurality of vein templates, and each vein template corresponds to an environmental temperature;

selecting a target vein template corresponding to the target environment temperature from the preset vein template set;

matching the target characteristic point set with the characteristic point set of the target vein template;

when the target feature point set is successfully matched with the feature point set of the target vein template, two pairs of feature points with the highest matching degree are selected from the target feature point set and the feature point set of the target vein template according to a matching result;

and determining a target color temperature value of the preset part according to the two pairs of feature points.

In a possible example, in the aspect of obtaining a vein image by performing vein acquisition on a preset part of a target object through the vein recognition module, the vein recognition module is specifically configured to:

acquiring a target physiological characteristic parameter of the target object;

determining a target mapping relation set corresponding to the target physiological characteristic parameter according to a corresponding relation between a preset physiological characteristic parameter and the mapping relation set, wherein the mapping relation set comprises a plurality of mapping relations, and each mapping relation is a mapping relation between a vein collection part and a vein collection parameter set;

determining the target vein acquisition parameter set corresponding to the preset part according to the target mapping relation set;

and carrying out vein collection on the preset part through the vein identification module according to the target vein collection parameter set to obtain the vein image.

Therefore, the electronic equipment can acquire veins of the preset part of the target object through the vein recognition module to obtain the vein image, extract the features of the vein image to obtain the target feature set, and determine the target blood temperature value of the preset part according to the target feature set.

Referring to fig. 1B, fig. 1B is a schematic flow chart of a blood temperature detection method according to an embodiment of the present disclosure, and as shown in the drawing, the method is applied to an electronic device shown in fig. 1A, the electronic device includes a vein identification module, and the blood temperature detection method includes:

101. and carrying out vein acquisition on the preset part of the target object through the vein recognition module to obtain a vein image.

The target object may be a human or other animal, the vein image may be a vein image of any part of the body of the user, for example, a finger vein, a palm vein, a leg vein, a main vein, and the like, which is not limited herein, and in a specific implementation, a vein of which part needs to be obtained may be acquired, and then the vein image may be obtained.

In the concrete realization, when the position of predetermineeing of user's health is close electronic equipment's vein identification module, then can carry out vein collection according to certain vein collection parameter set through vein identification module, obtain the vein image, predetermine the position and can be set up by oneself or the system is acquiescent by the user, predetermine the position and can be following at least one: fingers, palms, arms, thighs, neck, etc., without limitation thereto.

In an embodiment of the present application, the vein collection parameter set includes at least one of the following parameters: the operating current of the vein identification module, the operating voltage of the vein identification module, the operating power of the vein identification module, the operating frequency of the vein identification module, the frequency band of the infrared light of the vein identification module, the transmitting power of the infrared light of the vein identification module, and the like, which are not limited herein. In specific implementation, the electronic device may perform vein acquisition according to the vein acquisition parameter set to obtain a vein image.

In a possible example, in step 101, the vein recognition module performs vein acquisition on a preset portion of the target object to obtain a vein image, and the method may include the following steps:

11. acquiring a target physiological characteristic parameter of the target object;

12. determining a target mapping relation set corresponding to the target physiological characteristic parameter according to a corresponding relation between a preset physiological characteristic parameter and the mapping relation set, wherein the mapping relation set comprises a plurality of mapping relations, and each mapping relation is a mapping relation between a vein collection part and a vein collection parameter set;

13. determining the target vein acquisition parameter set corresponding to the preset part according to the target mapping relation set;

14. and carrying out vein collection on the preset part through the vein identification module according to the target vein collection parameter set to obtain the vein image.

In an embodiment of the present application, the physiological characteristic parameter may be one of: age, height, weight, fat rate, blood type, medical history, occupation, sex, race, blood pressure, blood fat, etc., without limitation. Different people have different body conditions and different vein acquisition parameters, and certainly, the same person has different vein acquisition parameters due to the difference between body parts. The electronic device may pre-store a corresponding relationship between a preset physiological characteristic parameter and a mapping relationship set, where the mapping relationship set includes a plurality of mapping relationships, and each mapping relationship is a mapping relationship between a vein collection portion and a vein collection parameter set. In the specific implementation, the electronic device can acquire the target physiological characteristic parameters of the target object, further determine the target mapping relation set corresponding to the target physiological characteristic parameters according to the corresponding relation between the preset physiological characteristic parameters and the mapping relation set, and determine the target vein acquisition parameter set corresponding to the preset part according to the target mapping relation set.

102. And performing feature extraction on the vein image to obtain a target feature set.

In an embodiment of the present application, the target feature set may include at least one of the following: feature points, feature contours, vein widths, etc., without limitation. In specific implementation, the target feature set can be obtained by extracting features of the vein image. The feature points and the feature profiles can be realized by a feature extraction mode, and the feature extraction mode can be at least one of the following modes: harris corner detection, Scale Invariant Feature Transform (SIFT), SURF algorithm, contour extraction, etc., without limitation. The vein width is understood as an average vein width, and the vein image may be first subjected to image segmentation to obtain a vein region image, i.e. an image including only veins, from which the vein width can be obtained.

103. And determining a target blood temperature value of the preset part according to the target feature set.

Wherein, the target characteristic set has reflected blood temperature to a certain extent, and of course, blood also can expend with heat and contract with cold to a certain extent, and consequently, the width of vein is also along with the temperature change to a certain extent.

Optionally, the target feature set comprises a target feature point set and a target vein width; in the step 103, determining the target blood temperature value of the preset portion according to the target feature set may include the following steps:

a1, determining a preset vein template corresponding to a preset part according to a mapping relation between the preset part and the vein template;

a2, matching the target feature point set with the feature point set of the preset vein template;

a3, when the target characteristic point set is successfully matched with the characteristic point set of the preset vein template, acquiring a standard blood temperature value and a standard vein width corresponding to the preset vein template;

a4, determining a deviation value between the target vein width and the standard vein width;

and A5, determining a target blood temperature value according to the deviation value and the standard blood temperature value.

In this embodiment, the target feature set may include a target feature point set and a target vein width, and since different parts have different vein images, a mapping relationship between a preset part and a vein template may be stored in advance in the electronic device, so that a preset vein template corresponding to the preset part may be determined according to the mapping relationship, and further, the target feature point set may be matched with the feature point set of the preset vein template, and when the target feature point set is successfully matched with the feature point set of the preset vein template, a standard blood temperature value and a standard vein width corresponding to the preset vein template may be obtained, and a deviation value between the target vein width and the standard vein width may be determined, where the deviation value is (target vein width-standard vein width)/standard vein width, and finally, the deviation value may be determined according to the standard blood temperature value, and determining a target blood temperature value which is (1+ deviation value) standard blood temperature value, thus realizing blood temperature detection to a certain extent.

Further, when the target feature set includes a target vein width, the step 102 of extracting features from the vein image to obtain the target feature set may include the following steps:

21. carrying out image segmentation on the vein image to obtain a vein area image;

22. dividing the vein region image into a plurality of regions to obtain a plurality of region images;

23. determining the width of each region image in the plurality of region images to obtain a plurality of widths;

24. taking a maximum value of the plurality of widths as the target vein width.

When the target feature set includes the target vein width, the electronic device may perform image segmentation on the vein image to obtain a vein region image, that is, an image of a region where only vein lines are located, of course, since there may be a plurality of veins in one image, the vein region image may be divided into a plurality of regions to obtain a plurality of region images, an average width of each region image in the plurality of region images may also be determined to obtain a plurality of widths, and a maximum value of the plurality of widths may be selected as the target vein width, so that width detection of the vein image may be implemented.

In one possible example, when the target feature set includes a target feature point set, the step 103 of determining a target blood temperature value of the preset region according to the target feature set may include the following steps:

b1, acquiring the target environment temperature;

b2, acquiring a preset vein template set corresponding to the preset part, wherein the preset vein template set comprises a plurality of vein templates, and each vein template corresponds to an environment temperature;

b3, selecting a target vein template corresponding to the target environment temperature from the preset vein template set;

b4, matching the target characteristic point set with the characteristic point set of the target vein template;

b5, when the matching between the target feature point set and the feature point set of the target vein template is successful, selecting two pairs of feature points with the highest matching degree from the target feature point set and the feature point set of the target vein template according to the matching result;

and B6, determining the target color temperature value of the preset part according to the two pairs of characteristic points.

Wherein, the electronic device may obtain a target environment temperature, and may also obtain a preset vein template set corresponding to a preset portion, the preset vein template set may include a plurality of vein templates, each vein template may correspond to an environment temperature, and therefore, a target vein template corresponding to the target environment temperature may be selected from the preset vein template set, and further, when the target feature point set is successfully matched with the feature point set of the target vein template, it is indicated that the identification of the target object is successful, two pairs of feature points with the highest matching degree may be selected from the target feature point set and the feature point set of the target vein template according to the matching result, as shown in fig. 1C, that is, feature points a1 and B1 are selected from the target feature point set in the vein image, and feature points a2 and B2 are selected from the feature point set in the target vein template, wherein, a pair of feature points is between a1 and a2, in a specific implementation, a first euclidean distance between a1 and B1 and a second euclidean distance between a2 and B2 may be determined, and a standard blood temperature value corresponding to the target vein template is obtained, where the target blood temperature value is equal to a standard blood temperature value (1+ (first euclidean distance — second euclidean distance)/second euclidean distance), so that the blood temperature of the target object may be detected.

In one possible example, the step 103 of determining the target blood temperature value of the preset portion according to the target feature set may include the following steps:

c1, carrying out image segmentation on the vein image to obtain a vein area image;

c2, determining the target area corresponding to the vein area image;

c3, determining the number of the feature points in the vein area image in the target feature set;

c4, determining the distribution density of the target characteristic points according to the number of the characteristic points and the target area;

and C5, determining the target color temperature value corresponding to the target characteristic point distribution density according to the preset mapping relation between the blood temperature and the characteristic point distribution density.

The electronic device may perform image segmentation on the vein image to obtain a vein region image, that is, an image including only veins, and obtain a target area corresponding to the vein region image through the vein region image, and further may determine the number of feature points in the vein region image in the target feature set, and may calculate a target feature point distribution density according to the number of feature points and the target area, that is, the target feature point distribution density is equal to the target area/the number of feature points, and may also store a mapping relationship between a preset blood temperature and the feature point distribution density in advance, and further may determine the target color temperature value corresponding to the target feature point distribution density according to the mapping relationship, so that blood temperature detection may be implemented.

In one possible example, after the step 103, the following steps may be further included:

d1, carrying out image segmentation on the vein image to obtain a vein area image;

d2, analyzing the characteristic point distribution of the vein area image;

d3, performing circular image interception on the vein area images according to M different circle centers to obtain M circular vein area images, wherein M is an integer larger than 3;

d4, selecting a target circular vein area image from the M circular vein area images, wherein the target circular vein area image comprises a larger number of characteristic points than other circular vein area images in the M circular vein area images;

d5, dividing the target circular vein area image to obtain N circular rings, wherein the widths of the N circular rings are the same;

d6, starting from the circular ring with the smallest radius in the N circular rings, sequentially matching the N circular rings with the preset vein template for feature points, and accumulating the matching values of the matched circular rings;

d7, stopping feature point matching immediately when the accumulated matching value is larger than the preset matching threshold value, and outputting a prompt message that the vein recognition is successful.

The electronic equipment can perform image segmentation on a vein image to obtain a vein region image, further analyze the distribution of feature points of the vein region image, perform circular image interception on the vein region image according to M different circle centers to obtain M circular vein region images, wherein M is an integer greater than 3, select a target circular vein region image from the M circular vein region images, the number of the feature points contained in the target circular vein region image is greater than that of other circular vein region images in the M circular vein region images, divide the target circular vein region image to obtain N circular rings, the ring widths of the N circular rings are the same, perform feature point matching on the N circular rings sequentially with a preset vein template from the circular ring with the smallest radius in the N circular rings, and accumulate matching values of the matched circular rings, so in the vein identification process, the characteristic points of different positions or different veins can be used for matching, when the accumulated matching value is larger than a preset matching threshold value, the characteristic point matching is immediately stopped, and a prompt message of vein recognition success is output, so that vein recognition can be rapidly and accurately recognized.

The blood temperature detection method described in the embodiment of the application can be seen to be applied to electronic equipment, the electronic equipment comprises a vein recognition module, the vein recognition module is used for carrying out vein acquisition on the preset part of the target object to obtain a vein image, the vein image is subjected to feature extraction to obtain a target feature set, and the target blood temperature value of the preset part is determined according to the target feature set.

Referring to fig. 2 in a manner consistent with the embodiment shown in fig. 1B, fig. 2 is a schematic flow chart of a blood temperature detection method provided in an embodiment of the present application, and as shown in the figure, the method is applied to an electronic device shown in fig. 1A, the electronic device includes a vein recognition module, and the blood temperature detection method includes:

201. and acquiring a target physiological characteristic parameter of the target object.

202. And determining a target mapping relation set corresponding to the target physiological characteristic parameter according to a corresponding relation between a preset physiological characteristic parameter and the mapping relation set, wherein the mapping relation set comprises a plurality of mapping relations, and each mapping relation is a mapping relation between a vein collection part and a vein collection parameter set.

203. And determining the target vein acquisition parameter set corresponding to the preset part according to the target mapping relation set.

204. And carrying out vein collection on the preset part through the vein identification module according to the target vein collection parameter set to obtain a vein image.

205. And performing feature extraction on the vein image to obtain a target feature set.

206. And determining a target blood temperature value of the preset part according to the target feature set.

For the detailed description of the steps 201 to 206, reference may be made to the corresponding steps of the blood temperature detection method described in the above fig. 1B, which are not described herein again.

It can be seen that the blood temperature detection method described in the embodiment of the application is applied to electronic equipment, the electronic equipment comprises a vein recognition module, and through the vein recognition module, a proper vein collection unit can be selected according to the physiological characteristics of a user, vein collection is performed on a preset part of a target object, a vein image is obtained, feature extraction is performed on the vein image, a target feature set is obtained, a target blood temperature value of the preset part is determined according to the target feature set, so that the vein image can be accurately collected, blood temperature detection can be realized through the vein image, the blood temperature detection precision is improved, and the practical value of the vein recognition technology is improved.

In keeping with the above embodiments, please refer to fig. 3, where fig. 3 is a schematic structural diagram of an electronic device according to an embodiment of the present application, and as shown in the figure, the electronic device includes a processor, a memory, a communication interface, and one or more programs, the electronic device includes a vein recognition module, where the one or more programs are stored in the memory and configured to be executed by the processor, and in an embodiment of the present application, the programs include instructions for performing the following steps:

It can be seen that the electronic device described in the embodiment of the present application includes the vein recognition module, and the vein recognition module performs vein acquisition on the preset portion of the target object to obtain the vein image, performs feature extraction on the vein image to obtain the target feature set, and determines the target blood temperature value of the preset portion according to the target feature set.

In one possible example, the set of target features includes a set of target feature points and a target vein width; in the aspect of determining the target blood temperature value of the preset portion according to the target feature set, the program includes instructions for executing the following steps:

In one possible example, when the set of target features includes a target vein width, the program includes instructions for performing the following steps in the feature extraction of the vein image to obtain the set of target features:

carrying out image segmentation on the vein image to obtain a vein area image;

taking a maximum value of the plurality of widths as the target vein width.

In one possible example, when the set of target features includes a set of target feature points, the program includes instructions for performing the following steps in the determining a target blood temperature value of the preset site according to the set of target features:

acquiring a target environment temperature;

In one possible example, in the aspect of obtaining the vein image by performing vein acquisition on the preset part of the target object through the vein recognition module, the program includes instructions for performing the following steps:

acquiring a target physiological characteristic parameter of the target object;

The above description has introduced the solution of the embodiment of the present application mainly from the perspective of the method-side implementation process. It is understood that the electronic device comprises corresponding hardware structures and/or software modules for performing the respective functions in order to realize the above-mentioned functions. Those of skill in the art will readily appreciate that the present application is capable of hardware or a combination of hardware and computer software implementing the various illustrative elements and algorithm steps described in connection with the embodiments provided herein. Whether a function is performed as hardware or computer software drives hardware depends upon the particular application and design constraints imposed on the solution. 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 application.

In the embodiment of the present application, the electronic device may be divided into the functional units according to the method example, for example, each functional unit may be divided corresponding to each function, or two or more functions may be integrated into one processing unit. The integrated unit can be realized in a form of hardware, and can also be realized in a form of a software functional unit. It should be noted that the division of the unit in the embodiment of the present application is schematic, and is only a logic function division, and there may be another division manner in actual implementation.

Fig. 4 is a block diagram showing functional units of a blood temperature detection device 400 according to an embodiment of the present application. This blood temperature detection device 400 is applied to electronic equipment, electronic equipment includes the vein identification module, device 400 includes: the acquisition unit 401, the extraction unit 402, and the determination unit 403 are specifically as follows:

the acquisition unit 401 is configured to perform vein acquisition on a preset part of the target object through the vein recognition module to obtain a vein image;

an extracting unit 402, configured to perform feature extraction on the vein image to obtain a target feature set;

a determining unit 403, configured to determine a target blood temperature value of the preset portion according to the target feature set.

It can be seen that the blood temperature detection device described in the embodiment of the application is applied to electronic equipment, the electronic equipment comprises a vein recognition module, the vein recognition module is used for carrying out vein acquisition on a preset part of a target object to obtain a vein image, the vein image is subjected to feature extraction to obtain a target feature set, and a target blood temperature value of the preset part is determined according to the target feature set.

In one possible example, the set of target features includes a set of target feature points and a target vein width; in the aspect of determining the target blood temperature value of the preset portion according to the target feature set, the determining unit 403 is specifically configured to:

In a possible example, when the target feature set includes a target vein width, in the aspect of performing feature extraction on the vein image to obtain the target feature set, the extraction unit 402 is specifically configured to:

carrying out image segmentation on the vein image to obtain a vein area image;

taking a maximum value of the plurality of widths as the target vein width.

In a possible example, when the set of target features includes a set of target feature points, in the determining the target blood temperature value of the preset site according to the set of target features, the determining unit 403 is specifically configured to:

acquiring a target environment temperature;

In a possible example, in the aspect of obtaining a vein image by performing vein acquisition on a preset portion of a target object through the vein recognition module, the acquisition unit 401 is specifically configured to:

acquiring a target physiological characteristic parameter of the target object;

Embodiments of the present application also provide a computer storage medium, where the computer storage medium stores a computer program for electronic data exchange, the computer program enabling a computer to execute part or all of the steps of any one of the methods described in the above method embodiments, and the computer includes an electronic device.

Embodiments of the present application also provide a computer program product comprising a non-transitory computer readable storage medium storing a computer program operable to cause a computer to perform some or all of the steps of any of the methods as described in the above method embodiments. The computer program product may be a software installation package, the computer comprising an electronic device.

It should be noted that, for simplicity of description, the above-mentioned method embodiments are described as a series of acts or combination of acts, but those skilled in the art will recognize that the present application is not limited by the order of acts described, as some steps may occur in other orders or concurrently depending on the application. Further, those skilled in the art should also appreciate that the embodiments described in the specification are preferred embodiments and that the acts and modules referred to are not necessarily required in this application.

In the foregoing embodiments, the descriptions of the respective embodiments have respective emphasis, and for parts that are not described in detail in a certain embodiment, reference may be made to related descriptions of other embodiments.

In the embodiments provided in the present application, it should be understood that the disclosed apparatus may be implemented in other manners. For example, the above-described embodiments of the apparatus are merely illustrative, and for example, the above-described division of the units is only one type of division of logical functions, and other divisions may be realized in practice, for example, a plurality of units or components may be combined or integrated into another system, or some features may be omitted, or not executed. In addition, the shown or discussed mutual coupling or direct coupling or communication connection may be an indirect coupling or communication connection of some interfaces, devices or units, and may be an electric or other form.

The units described as separate parts may or may not be physically separate, and parts displayed as units may or may not be physical units, may be located in one place, or may be distributed on a plurality of network units. Some or all of the units can be selected according to actual needs to achieve the purpose of the solution of the embodiment.

In addition, functional units in the embodiments of the present application may be integrated into one processing unit, or each unit may exist alone physically, or two or more units are integrated into one unit. The integrated unit can be realized in a form of hardware, and can also be realized in a form of a software functional unit.

The integrated unit may be stored in a computer readable memory if it is implemented in the form of a software functional unit and sold or used as a stand-alone product. Based on such understanding, the technical solution of the present application may be substantially implemented or a part of or all or part of the technical solution contributing to the prior art may be embodied in the form of a software product stored in a memory, and including several instructions for causing a computer device (which may be a personal computer, a server, or a network device) to execute all or part of the steps of the above-mentioned method of the embodiments of the present application. And the aforementioned memory comprises: a U-disk, a Read-Only Memory (ROM), a Random Access Memory (RAM), a removable hard disk, a magnetic or optical disk, and other various media capable of storing program codes.

Those skilled in the art will appreciate that all or part of the steps in the methods of the above embodiments may be implemented by associated hardware instructed by a program, which may be stored in a computer-readable memory, which may include: flash Memory disks, Read-Only memories (ROMs), Random Access Memories (RAMs), magnetic or optical disks, and the like.

The foregoing detailed description of the embodiments of the present application has been presented to illustrate the principles and implementations of the present application, and the above description of the embodiments is only provided to help understand the method and the core concept of the present application; meanwhile, for a person skilled in the art, according to the idea of the present application, there may be variations in the specific embodiments and the application scope, and in summary, the content of the present specification should not be construed as a limitation to the present application.

Claims

1. An electronic device, comprising a vein identification module and processing circuitry, wherein,

the processing circuit is used for extracting the features of the vein image to obtain a target feature set; determining a target blood temperature value of the preset part according to the target feature set;

wherein the target feature set comprises a target feature point set and a target vein width; in the aspect of determining the target blood temperature value of the preset portion according to the target feature set, the processing circuit is specifically configured to:

2. The electronic device according to claim 1, wherein when the target feature set includes a target vein width, the processing circuit is specifically configured to, in the aspect of performing feature extraction on the vein image to obtain a target feature set:

carrying out image segmentation on the vein image to obtain a vein area image;

taking a maximum value of the plurality of widths as the target vein width.

3. The electronic device according to claim 1, wherein when the set of target features includes a set of target feature points, the processing circuit is specifically configured to, in the determining the target blood temperature value of the preset site from the set of target features:

acquiring a target environment temperature;

4. The electronic device according to any one of claims 1 to 3, wherein in the aspect of performing vein acquisition on the preset portion of the target object to obtain the vein image, the vein recognition module is specifically configured to:

acquiring a target physiological characteristic parameter of the target object;

5. A blood temperature detection method is applied to electronic equipment, the electronic equipment comprises a vein identification module, and the method comprises the following steps:

determining a target blood temperature value of the preset part according to the target feature set;

wherein the target feature set comprises a target feature point set and a target vein width; the determining the target blood temperature value of the preset part according to the target feature set comprises:

6. The method of claim 5, wherein when the target feature set comprises a target vein width, the performing feature extraction on the vein image to obtain a target feature set comprises:

carrying out image segmentation on the vein image to obtain a vein area image;

taking a maximum value of the plurality of widths as the target vein width.

7. The method according to claim 5, wherein when the set of target features includes a set of target feature points, the determining a target blood temperature value of the preset site according to the set of target features comprises:

acquiring a target environment temperature;

8. The method according to any one of claims 5 to 7, wherein the obtaining of the vein image by the vein recognition module performing vein acquisition on the preset part of the target object comprises:

acquiring a target physiological characteristic parameter of the target object;

9. The utility model provides a blood temperature detection device, its characterized in that is applied to electronic equipment, electronic equipment includes the vein identification module, the device includes:

the determining unit is used for determining a target blood temperature value of the preset part according to the target feature set;

wherein the target feature set comprises a target feature point set and a target vein width; in the aspect of determining the target blood temperature value of the preset portion according to the target feature set, the determining unit is specifically configured to:

10. An electronic device comprising a processor, a memory for storing one or more programs and configured for execution by the processor, the programs comprising instructions for performing the steps of the method of any of claims 5-8.

11. A computer-readable storage medium, characterized in that a computer program for electronic data exchange is stored, wherein the computer program causes a computer to perform the method according to any of the claims 5-8.