CN107527011B - Non-contact skin resistance change trend detection method, device and equipment - Google Patents
Non-contact skin resistance change trend detection method, device and equipment Download PDFInfo
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- CN107527011B CN107527011B CN201710570806.8A CN201710570806A CN107527011B CN 107527011 B CN107527011 B CN 107527011B CN 201710570806 A CN201710570806 A CN 201710570806A CN 107527011 B CN107527011 B CN 107527011B
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Abstract
The invention is suitable for the technical field of data processing, and provides a non-contact skin resistance change trend detection method, a non-contact skin resistance change trend detection device and non-contact skin resistance change trend detection equipment, wherein the non-contact skin resistance change trend detection method comprises the following steps: acquiring at least two images of a skin area to be detected, wherein the at least two images are shot at different time points; performing color space conversion on the image; and determining the reflectivity change condition of the skin area to be detected according to the parameter information carried by the converted image, and determining the sweating change condition of the skin area to be detected according to the reflectivity change condition. According to the embodiment of the invention, the sweating change condition of the object to be detected can be analyzed without contacting the object to be detected, so that the efficiency of analyzing the sweating change condition is greatly improved. Meanwhile, the image is subjected to color space conversion, the reflectivity change condition is determined according to the obtained parameter information, and the sweating change condition is finally determined according to the reflectivity change condition, so that the sweating change condition is more accurately and reliably determined, and the accuracy of detecting the sweating change condition of the skin of the object to be detected is ensured.
Description
Technical Field
The invention belongs to the technical field of data processing, and particularly relates to a non-contact skin resistance change trend detection method, device and equipment.
Background
When a person lies, secretion of subcutaneous sweat glands can be increased, so that skin sweating is caused, and when the person lies, the increase of secretion of subcutaneous sweat glands is governed by a vegetative nervous system, so that a conditioned reflex phenomenon appears when the person is stimulated from the outside, and autonomous control is difficult to perform through consciousness of the person. Therefore, the sweating change condition of the human skin is detected, and whether the test object lies or not can be judged.
Considering that the skin resistance of a human body changes due to skin sweating and the skin resistance changes are easy to detect, in the prior art, the skin sweating change condition of a test object is generally determined by a method for detecting the skin resistance change of the test object, so as to determine whether the test object lies. However, in practical applications, because the skin resistance at different parts of a human body is difficult to detect, when detecting the skin resistance of an object to be detected, the skin resistance of thicker skin such as calluses and the like cannot be detected basically, so that a professional is often required to select a skin resistance detection point according to the actual situation of the object to be detected and then perform the skin resistance detection to judge the skin sweating change condition of the object to be detected. In addition, in practical application, the situation that the object to be detected is not matched with detection and the skin resistance detection device is not worn may occur, and at this time, the skin resistance detection cannot be performed on the object to be detected, and the skin perspiration change condition of the object to be detected cannot be further judged, so that the skin resistance change trend of the object to be detected cannot be effectively detected in the prior art.
In summary, in the prior art, the method for determining the skin sweating change condition of the object to be detected by detecting the skin resistance has many defects such as complex operation and high implementation difficulty, so that the efficiency of detecting the skin sweating change condition of the object to be detected is low.
Disclosure of Invention
In view of this, embodiments of the present invention provide a method, an apparatus, and a device for detecting a skin resistance change trend in a non-contact manner, so as to solve the problem in the prior art that the efficiency of detecting a skin perspiration change condition of a target is low.
The first aspect of the embodiments of the present invention provides a non-contact skin resistance variation trend detection method, including:
acquiring at least two images of a skin area to be measured, wherein the at least two images are shot at different time points;
performing color space conversion on the image, wherein the parameter information carried by the converted image comprises at least one of hue, brightness, lightness and saturation;
and determining the reflectivity change condition of the skin area to be detected according to the parameter information carried by the converted image, and determining the sweating change condition of the skin area to be detected according to the reflectivity change condition.
A second aspect of an embodiment of the present invention provides a non-contact skin resistance variation tendency detection apparatus, including:
the device comprises an image acquisition module, a data acquisition module and a data processing module, wherein the image acquisition module is used for acquiring at least two images related to a skin area to be detected, and the at least two images are shot at different time points;
the space conversion module is used for carrying out color space conversion on the image, and the parameter information carried by the converted image comprises at least one of hue, brightness, lightness and saturation;
and the sweating analysis module is used for determining the reflectivity change condition of the skin area to be detected according to the parameter information carried by the converted image, and determining the sweating change condition of the skin area to be detected according to the reflectivity change condition.
A third aspect of embodiments of the present invention provides a non-contact skin resistance change tendency detection apparatus, including:
a memory, a processor and a computer program stored in the memory and operable on the processor, wherein the processor implements the steps of the non-contact skin resistance variation trend detection method as described above when executing the computer program.
A fourth aspect of an embodiment of the present invention provides a computer-readable storage medium, including:
a computer program is stored, characterized in that the computer program, when being executed by a processor, implements the steps of the non-contact skin resistance variation tendency detection method as described above.
Compared with the prior art, the embodiment of the invention has the following beneficial effects: the sweating change condition of the skin area to be detected is determined by processing at least two images of the skin area to be detected, so that the sweating change condition of the object to be detected can be analyzed without contacting the object to be detected, and the efficiency of analyzing the sweating change condition is greatly improved. Meanwhile, the image is subjected to color space conversion, the reflectivity change condition is determined according to the obtained parameter information, and the sweating change condition is finally determined according to the reflectivity change condition, so that the sweating change condition is more accurately and reliably determined, the accuracy of detecting the sweating change condition of the skin of the object to be detected is ensured, and meanwhile, the condition of the skin resistance change trend of the object to be detected can be obtained by utilizing the detected sweating change condition.
Drawings
In order to more clearly illustrate the technical solutions in the embodiments of the present invention, the drawings needed to be used in the embodiments or the prior art descriptions will be briefly described below, and it is obvious that the drawings in the following description are only some embodiments of the present invention, and it is obvious for those skilled in the art to obtain other drawings based on these drawings without inventive exercise.
Fig. 1 is a schematic flow chart illustrating an implementation of a non-contact skin resistance variation trend detection method according to an embodiment of the present invention;
fig. 2 is a schematic flow chart illustrating an implementation of a non-contact skin resistance variation trend detection method according to a second embodiment of the present invention;
fig. 3 is a schematic flow chart illustrating an implementation of a non-contact skin resistance variation trend detection method according to a third embodiment of the present invention;
fig. 4 is a schematic flow chart illustrating an implementation of a non-contact skin resistance variation trend detection method according to a fourth embodiment of the present invention;
fig. 5 is a schematic flow chart illustrating an implementation of a non-contact skin resistance variation trend detection method according to a fifth embodiment of the present invention;
fig. 6 is a schematic structural diagram of a non-contact skin resistance variation trend detection apparatus according to a sixth embodiment of the present invention;
fig. 7 is a schematic diagram of a non-contact skin resistance variation trend detection device according to a seventh embodiment of the present invention.
Detailed Description
In the following description, for purposes of explanation and not limitation, specific details are set forth, such as particular system structures, techniques, etc. in order to provide a thorough understanding of the embodiments of the invention. It will be apparent, however, to one skilled in the art that the present invention may be practiced in other embodiments that depart from these specific details. In other instances, detailed descriptions of well-known systems, devices, circuits, and methods are omitted so as not to obscure the description of the present invention with unnecessary detail.
In order to explain the technical means of the present invention, the following description will be given by way of specific examples.
It should be noted that the sweating change condition in the present invention embodiment refers to a condition of a sweating change tendency of a subject to be measured.
When a human body lies, the increased secretion of sweat glands can cause sweating, and the sweating condition can change along with the change of the stress degree, for example, the sweating is more when the stress degree is higher, and the sweating is less when the stress degree is lower. In practical application, when the lie is judged, the psychological change of the object to be detected is judged according to the change of the tension degree, so that whether the object to be detected lies or not is judged, namely in practical application, the reference is the sweating change trend of the object to be detected, the psychological change analysis of the object to be detected is carried out according to the sweating change trend, and whether the object to be detected lies or not is further judged. Therefore, in the embodiments of the present invention, the sweat change condition to be finally detected refers to a condition of a change trend of the sweat of the subject.
Fig. 1 shows a flowchart of an implementation of a non-contact skin resistance variation trend detection method according to an embodiment of the present invention, which is detailed as follows:
s101, at least two images of the skin area to be measured are acquired, and the at least two images are shot at different time points.
The image can be obtained by extracting from a video acquired by the object to be detected, or can be obtained by directly acquiring the image of the object to be detected. Because the sweating change is a dynamic process, the sweating change can be obtained only by performing comparative analysis on at least two different sweating states of the object to be detected, and therefore, in the embodiment of the invention, the required sweating change condition can be detected only by performing comparative analysis on at least two images shot at different time points.
In the embodiment of the invention, the sweating change condition is detected through the image without contacting the object to be detected, so that the sweating change condition of the skin of the object to be detected is detected more conveniently and efficiently
S102, color space conversion is carried out on the image, and parameter information carried by the converted image comprises at least one of hue, brightness, lightness and saturation.
The reflectance of the skin to light changes during sweating and is higher than when the skin is dry and without sweat. Since the skin perspiration and the skin reflectance have the above-described relationship, the condition of the change in perspiration can be known by detecting the condition of the change in reflectance. Therefore, in the embodiment of the invention, the required sweating change condition can be obtained only by analyzing the reflectivity change condition. Based on the above facts, in the embodiment of the present invention, when the sweat change condition analysis is performed on the object to be measured, the change condition of the reflectivity in the skin region to be measured is analyzed, and the sweat change condition analysis is determined.
In practical applications, the conventional RGB color space format image cannot reflect the change of the reflectivity. Therefore, in the embodiment of the present invention, in order to obtain the reflectivity information of the skin area to be measured, the color space conversion is performed on the image, the RGB color space is converted into the color space having the parameter information capable of reflecting the reflectivity change, such as the HSV color space containing the saturation and brightness information or the HSL color space containing the saturation and brightness information, and the parameter information (such as the brightness) is extracted from the converted skin area to be measured.
S103, determining the reflectivity change condition of the skin area to be detected according to the parameter information carried by the converted image, and determining the sweating change condition of the skin area to be detected according to the reflectivity change condition.
When the sweating changes, the reflectivity of the skin also changes, and the change of the reflectivity directly causes the change of parameter information such as brightness, saturation and the like. Therefore, in the embodiment of the present invention, the change condition of the reflectivity of the skin area to be detected is determined by using the change condition of the parameter information of the skin area to be detected obtained by conversion, and then the sweating change condition of the skin area to be detected is finally determined according to the determined change condition of the reflectivity.
The acquired image can be analyzed to obtain the sweating change condition of the object to be detected, and meanwhile, the embodiment of the invention does not limit how to acquire the image, and the image can be a real-time shot image or a stored image. In combination with an actual application scenario, the embodiment of the present invention may be applied to some real-time sweating change condition analyses, for example, when the obtained image is an image shot in real time, such as shooting a real-time video and extracting an image from the video, and the embodiment of the present invention may perform real-time sweating change condition on an object to be detected in the video. The method can also be applied to some non-real-time analysis of the sweating change condition, and if the acquired image is a stored image, the non-real-time analysis of the sweating change condition of the object to be detected can be performed.
As a specific embodiment of the present invention, after the sweating change condition of the skin area to be detected is obtained in S103, whether the object to be detected lies may be further determined by using the sweating change condition, that is, the non-contact lie detection determination for the object to be detected by using the technical solution of the present application also belongs to the protection scope of the present application.
As another specific embodiment of the present invention, since the sweat change is a direct cause of the change of the skin resistance of the human body, the state of the change trend of the skin resistance of the human body can be directly characterized by using the sweat change state obtained in S103, that is, in the embodiment of the present invention, the state of the change trend of the skin resistance of the human body can be obtained after the sweat change state is calculated. Therefore, the technical solution of the present application should also be within the scope of the present application for detecting the non-contact human skin resistance variation trend.
As a specific implementation manner of S101, as shown in fig. 2, as a second embodiment of the present invention, the method includes:
s201, acquiring a video of the object to be detected.
In the embodiment of the invention, the image required by the detection of the sweating change condition is acquired by carrying out video acquisition on the object to be detected. Since the resolution of the image is directly related to the accuracy of the processing identification when the image is processed and identified, in the embodiment of the present invention, it is preferable that the video capturing in S201 is performed by using a high-resolution video capturing device, such as a 2K (2048 × 1080) resolution imaging device, to acquire the high-resolution image.
As a preferred embodiment of S201, when the video of the object is acquired, the object is compensated by using an additional light source such as infrared light, so as to prevent the acquired video from being difficult to meet the requirements of subsequent identification of the skin area to be detected and detection of the sweating change condition due to instability of the ambient light source.
S202, identifying an image containing a skin area to be detected from the video.
The skin area to be detected refers to a skin area of a subject to be detected and analyzed, and is used as a sample for analyzing the change condition of subsequent sweating. In practical applications, a technician is required to set a screening condition in advance for the image in the video to perform region screening in order to identify a desired skin region to be tested at S202. The screening condition may be set to automatically select according to parameter information such as brightness, saturation, brightness, etc. of the image, for example, a skin area with a size of 50 pixels × 50 pixels and an average brightness closest to a preset value is selected from the nose skin of the object to be measured as the skin area to be measured, where the preset value may be set by a technician according to an actual environment condition. Or directly appointing a skin area as the skin area to be detected, for example, directly setting the nose of the object to be detected as the skin area to be detected, at the moment, the nose of the object to be detected can be directly identified, and the subsequent operation is carried out.
Video is composed of a continuous and multi-frame image sequence, which is related to each other, dynamically, that is, each video contains many frames of images. In order to analyze the sweating change condition of an object to be detected in an acquired video, in the embodiment of the invention, the image contained in the video is automatically identified, and the area to be detected and analyzed in each frame of image is determined for subsequent sweating change condition analysis.
As an alternative implementation manner of S202, since the video includes many frames of images, it is considered that the position of the object to be measured may change (e.g., the object to be measured moves) at the time of video acquisition, so that the position of the selected skin area to be measured in the image changes. In order to more accurately determine a required skin region to be detected and ensure that the targets of the skin region to be detected before and after detection are the same, in the embodiment of the invention, after the first frame of image with the skin region to be detected is determined, the skin region to be detected is tracked and aligned in all images after the frame of image. In the embodiment of the present invention, the tracking algorithm is not limited, and includes, but is not limited to, for example, the KanadeLucasTomasi tracking algorithm, which may be selected by a skilled person according to the actual implementation.
As another optional implementation manner of S202, the identification of the skin region to be detected may be performed on each frame of image in the video, but this identification manner is only applicable to the screening condition that one skin region is directly designated as the skin region to be detected, that is, the skin region to be detected is a known and definite skin region in the object to be detected, and if the nose of the object to be detected is set as the skin region to be detected, the identification of the nose may be directly performed on each frame of image in the video, and the skin region to be detected is selected.
S203, at least two images of the skin region to be measured are extracted from the images including the skin region to be measured.
Specifically, several pieces of sweat should be detected, and the detection can be set by a technician according to actual conditions. In order to obtain the sweating change condition of the object to be detected in more detail, in the embodiment of the present invention, preferably, all images including the skin area to be detected in the video are extracted, and the subsequent sweating change condition detection and analysis is performed.
As another specific implementation manner of S101, it may also be possible to directly acquire a captured image, and perform identification of the skin region to be detected and extraction of the image on the image.
As a specific implementation manner of S201, the method includes:
and acquiring a video of the object to be detected.
Detecting the images contained in the video frame by frame, and identifying the first frame image containing human skin
The first frame image is an image of a human skin in the first frame.
In practical situations, sometimes the object to be measured does not appear in the video from the beginning, such as when the object to be measured enters the video capture area from the non-video capture area. In order to improve the detection intelligence of the sweating change condition, when an object to be detected appears in a video acquisition area, the analysis of the sweating change condition of the object to be detected can be automatically started. In the embodiment of the invention, the human skin identification is carried out on the acquired video in real time, whether the human skin appears in the video acquisition area is judged, and when the human skin appears, the identification of the skin area to be detected and the analysis of the sweating change condition of the object to be detected in the video are carried out from the detected image containing the human skin in the first frame.
As a third preferred embodiment of the present invention, as shown in fig. 3, after S101, the method further includes:
and S104, performing illumination compensation on at least two images.
When an image is acquired, if the light source is unstable, or parameters such as an aperture and exposure time of the acquisition equipment are set incorrectly, the acquired image is over-weak or over-strong in illumination and poor in image quality, so that the accurate sweating change condition detection of the skin area to be detected is difficult to perform in S103, and the real and reliable sweating change condition is difficult to obtain.
In order to better detect the sweating change condition of the skin area to be detected, in the embodiment of the invention, the illumination compensation algorithm is utilized to perform illumination compensation on the acquired image so as to ensure that the illumination intensity in the image is proper, thereby facilitating the subsequent detection of the sweating change condition of the skin area to be detected. The embodiment of the present invention does not limit the illumination compensation algorithm, including but not limited to common illumination compensation algorithms such as Gray World Theory illumination compensation algorithm.
As another preferred embodiment of the third invention, after S101, the method further includes: motion compensation is performed on the at least two images.
In order to prevent the situation that the light source is unstable, or parameters such as an aperture and exposure time of the acquisition equipment are set incorrectly, and the like, the acquired image is too weak or too strong in illumination, the image quality is not good, and the sweating change condition of the skin area to be detected cannot be detected normally. In the embodiment of the invention, the motion compensation technology is used for carrying out motion compensation on the acquired image, so that the image is clearer, and the subsequent detection of the sweating change condition of the skin area to be detected is facilitated.
As a specific implementation manner of S202, as shown in fig. 4, as a fourth embodiment of the present invention, the method includes:
s401, color space conversion is carried out on the image contained in the video, and the parameter information carried by the converted image comprises at least one of hue, brightness, lightness and saturation.
S402, selecting an area with parameter information within a preset parameter range from the image, and taking the area as a skin area to be detected.
Since in the embodiment of the present invention, the information on the reflectance of the skin is finally acquired, and the perspiration variation condition is calculated from the reflectance. Therefore, the size of the reflectivity of the skin region to be measured selected in S102 is very critical, and if the reflectivity is too large, it may be difficult to obtain the real reflectivity information due to the limitation of the upper limit of the reflectivity, and if the reflectivity is too small, the obtained reflectivity information may have too large error.
In order to select a skin area to be measured with a proper reflectivity, in the embodiment of the invention, color space conversion is directly performed on an image, and parameter information such as saturation, brightness or brightness obtained by conversion is utilized to judge the emissivity, so that a proper skin area to be measured is selected, for example, a skin area with the average brightness of 0.3-0.75 with the size of 50 pixels × 50 pixels in nose skin of a subject to be measured is required to be the skin area to be measured.
It should be understood that, since the types of color space formats for reflectivity detection are not unique, such as HSV color space and HSL color space, the color space pre-conversion in the embodiment of the present invention may be the same as or different from the color space pre-conversion in S102.
As a fifth preferred embodiment of the present invention, as shown in fig. 5, the present invention includes:
s501, converting the color space of the image into an HSV hue saturation brightness color space or an HSL hue saturation brightness color space.
In the embodiment of the invention, the color space of the skin area to be detected is converted into the HSV color space or the HSL color space, and the sweating change condition is calculated by using the obtained parameter information.
S502, selecting first parameter information for determining the reflectivity change condition from the parameter information carried by the skin area to be detected in the converted image.
The first parameter information refers to parameter information used for calculating the reflectivity, and may refer to single parameter information, such as saturation, or a combination of multiple parameter information, such as saturation + brightness.
For the HSV color space, the hue, saturation, and brightness can better reflect the change of the reflectivity, and for the HSL color space, the hue, saturation, and brightness can better reflect the change of the reflectivity, so in the embodiment of the present invention, the type data of the first parameter information is not limited, and may be a single parameter information, such as saturation, or a combination of several parameter information, such as saturation + brightness, and may be specifically selected and set by a skilled person according to actual needs.
S503, determining the reflectivity change condition of the skin area to be detected according to the first parameter information, and determining the sweating change condition of the skin area to be detected according to the reflectivity change condition.
After the kind data of the first parameter information is determined, the analysis of the reflectivity change condition of the first parameter information is started, and the sweating change condition of the skin area to be detected is determined. Since the change condition of the parameter information such as saturation, brightness, and brightness is the same as or opposite to the change trend of the reflectivity change condition, the required reflectivity change condition can be obtained by analyzing the first parameter information.
The embodiment of the present invention does not limit the specific method for analyzing the reflectivity change condition by using the first parameter information, and preferably, a PCA principal component analysis algorithm may be used to analyze the reflectivity of the pixels in the skin area to be detected. When the reflectivity analysis is performed on the pixels in the skin area to be detected, the multiple pixels in the skin area to be detected may be selected for comprehensive analysis to obtain data, and if an average value of first parameter information of the multiple pixels is used as an analysis object, the comprehensive analysis may be performed, or each pixel in the skin area to be detected may be selected for individual analysis, and all the individually analyzed data are subjected to screening processing to calculate the reflectivity change condition, for example, the first parameter information of each pixel in the skin area to be detected is analyzed first, and a partial analysis result with better quality is selected from all the obtained analysis results, and the reflectivity change condition is obtained through the comprehensive analysis.
Since the reflectivity variation is directly related to the sweating variation, the reflectivity variation obtained finally is the sweating variation to be measured in the embodiment of the present invention.
In the embodiment of the invention, the sweating change condition analysis is carried out by carrying out video acquisition on the object to be detected and identifying the skin area to be detected on the acquired video, so that the sweating change condition analysis can be carried out on the object to be detected without contacting the object to be detected or manually selecting the skin area to be detected, and the efficiency of the sweating change condition analysis is greatly improved. Meanwhile, the color space conversion of the identifiable reflectivity is carried out on the skin area to be detected, and the sweating analysis is carried out according to the obtained parameter information, so that the finally obtained sweating change condition is more accurate and reliable, the accuracy of detecting the sweating change condition of the skin of the object to be detected is ensured, and meanwhile, the condition of the skin resistance change trend of the object to be detected can be obtained by utilizing the detected sweating change condition.
Fig. 6 is a schematic structural diagram of a non-contact skin resistance variation tendency detection apparatus provided in an embodiment of the present invention, corresponding to the method described in the above embodiment, and only the parts related to the embodiment of the present invention are shown for convenience of description.
Referring to fig. 6, the non-contact skin resistance variation tendency detecting apparatus includes:
an image obtaining module 61, configured to obtain at least two images of a skin region to be detected, where the at least two images are captured at different time points.
The spatial conversion module 62 is configured to perform color spatial conversion on the image, where the parameter information carried in the converted image includes at least one of hue, brightness, lightness, and saturation.
And the sweating analysis module 63 is configured to determine a reflectivity change condition of the skin area to be detected according to the parameter information carried in the converted image, and determine a sweating change condition of the skin area to be detected according to the reflectivity change condition.
Further, the image obtaining module 61 includes:
and the video acquisition submodule is used for acquiring the video of the object to be detected.
And the region identification submodule is used for identifying an image containing the skin region to be detected from the video.
And the image extraction submodule is used for extracting the at least two images related to the skin area to be detected from the image containing the skin area to be detected.
Further, the region identification submodule further includes:
and performing color space conversion on an image contained in the video, wherein the parameter information carried by the converted image comprises at least one of hue, brightness, lightness and saturation.
And selecting the area of which the parameter information is within a preset parameter range from the image, and taking the area as the skin area to be detected.
Further, the non-contact skin resistance variation trend detection device further comprises:
and the illumination compensation module is used for performing illumination compensation on the at least two images.
Further, the space conversion module 62 and the sweat analysis module 63 include:
and the color conversion submodule is used for converting the color space of the image into an HSV hue saturation brightness color space or an HSL hue saturation brightness color space.
And the parameter selection submodule is used for selecting first parameter information used for determining the reflectivity change condition from the parameter information carried by the skin area to be detected in the converted image.
And the sweating analysis submodule is used for determining the reflectivity change condition of the skin area to be detected according to the first parameter information and determining the sweating change condition of the skin area to be detected according to the reflectivity change condition.
It should be understood that, the sequence numbers of the steps in the foregoing embodiments do not imply an execution sequence, and the execution sequence of each process should be determined by its function and inherent logic, and should not constitute any limitation to the implementation process of the embodiments of the present invention.
Fig. 7 is a schematic diagram of a non-contact skin resistance variation trend detection device according to an embodiment of the present invention. As shown in fig. 7, the noncontact skin resistance variation tendency detecting device 7 of this embodiment includes: a processor 70, a memory 71 and a computer program 72, such as a perspiration change condition detection program, stored in said memory 71 and executable on said processor 70. The processor 70, when executing the computer program 72, implements the steps in each of the above-described embodiments of the non-contact skin resistance variation tendency detection method, such as the steps 101 to 104 shown in fig. 1. Alternatively, the processor 70, when executing the computer program 72, implements the functions of each module/unit in each device embodiment described above, for example, the functions of the modules 61 to 63 shown in fig. 6.
The non-contact skin resistance variation trend detection device 7 may be a desktop computer, a notebook, a palm computer, a cloud server, or other computing devices. The non-contact skin resistance variation tendency detection device may include, but is not limited to, a processor 70 and a memory 71. Those skilled in the art will appreciate that fig. 7 is merely an example of the non-contact skin resistance variation tendency detection device 7, and does not constitute a limitation of the non-contact skin resistance variation tendency detection device 7, and may include more or less components than those shown, or combine some components, or different components, for example, the non-contact skin resistance variation tendency detection device may further include an input-output device, a network access device, a bus, etc.
The Processor 70 may be a Central Processing Unit (CPU), other 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, etc. A general purpose processor may be a microprocessor or the processor may be any conventional processor or the like.
The memory 71 may be an internal storage unit of the non-contact skin resistance variation tendency detection device 7, such as a hard disk or a memory of the non-contact skin resistance variation tendency detection device 7. The memory 71 may also be an external storage device of the non-contact skin resistance variation tendency detection device 7, such as a plug-in hard disk, a Smart Media Card (SMC), a Secure Digital (SD) Card, a Flash memory Card (Flash Card), and the like, which are equipped on the non-contact skin resistance variation tendency detection device 7. Further, the memory 71 may also include both an internal memory unit and an external memory device of the noncontact skin resistance variation tendency detection device 7. The memory 71 is used for storing the computer program and other programs and data required by the non-contact skin resistance variation tendency detection apparatus. The memory 71 may also be used to temporarily store data that has been output or is to be output.
It will be apparent to those skilled in the art that, for convenience and brevity of description, only the above-mentioned division of the functional units and modules is illustrated, and in practical applications, the above-mentioned function distribution may be performed by different functional units and modules according to needs, that is, the internal structure of the apparatus is divided into different functional units or modules to perform all or part of the above-mentioned functions. Each functional unit and module in the embodiments may be integrated in one processing unit, or each unit may exist alone physically, or two or more units are integrated in one unit, and the integrated unit may be implemented in a form of hardware, or in a form of software functional unit. In addition, specific names of the functional units and modules are only for convenience of distinguishing from each other, and are not used for limiting the protection scope of the present application. The specific working processes of the units and modules in the system may refer to the corresponding processes in the foregoing method embodiments, and are not described herein again.
In the above embodiments, the descriptions of the respective embodiments have respective emphasis, and reference may be made to the related descriptions of other embodiments for parts that are not described or illustrated in a certain embodiment.
Those of ordinary skill in the art will appreciate that the various illustrative elements and algorithm steps described in connection with the embodiments disclosed herein may be implemented as electronic hardware or combinations of computer software and electronic hardware. Whether such functionality is implemented as hardware or software depends upon the particular application and design constraints imposed on the implementation. 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.
In the embodiments provided by the present invention, it should be understood that the disclosed apparatus/device and method can be implemented in other ways. For example, the above-described apparatus/device embodiments are merely illustrative, and for example, the division of the modules or units is only one logical division, and there may be other divisions when actually implemented, for example, a plurality of units or components may be combined or may be 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 through some interfaces, devices or units, and may be in an electrical, mechanical 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 invention 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 modules/units, if implemented in the form of software functional units and sold or used as separate products, may be stored in a computer readable storage medium. Based on such understanding, all or part of the flow of the method according to the embodiments of the present invention may also be implemented by a computer program, which may be stored in a computer-readable storage medium, and when the computer program is executed by a processor, the steps of the method embodiments may be implemented. Wherein the computer program comprises computer program code, which may be in the form of source code, object code, an executable file or some intermediate form, etc. The computer-readable medium may include: any entity or device capable of carrying the computer program code, recording medium, usb disk, removable hard disk, magnetic disk, optical disk, computer Memory, Read-Only Memory (ROM), Random Access Memory (RAM), electrical carrier wave signals, telecommunications signals, software distribution medium, and the like. It should be noted that the computer readable medium may contain content that is subject to appropriate increase or decrease as required by legislation and patent practice in jurisdictions, for example, in some jurisdictions, computer readable media does not include electrical carrier signals and telecommunications signals as is required by legislation and patent practice.
The above-mentioned embodiments are only used for illustrating the technical solutions of the present invention, and not for limiting the same; although the present invention has been described in detail with reference to the foregoing embodiments, it will be understood by those of ordinary skill in the art that: the technical solutions described in the foregoing embodiments may still be modified, or some technical features may be equivalently replaced; such modifications and substitutions do not substantially depart from the spirit and scope of the embodiments of the present invention, and are intended to be included within the scope of the present invention.
Claims (7)
1. A non-contact skin resistance variation trend detection method is characterized by comprising the following steps:
acquiring at least two images of a skin area to be measured, wherein the at least two images are shot at different time points;
performing color space conversion on the image, wherein the parameter information carried by the converted image comprises at least one of hue, brightness, lightness and saturation, and the color space conversion refers to conversion into an HSV color space or an HSL color space;
determining the reflectivity change condition of the skin area to be detected according to the parameter information carried by the converted image, and determining the sweating change condition of the skin area to be detected according to the reflectivity change condition;
the acquiring of the at least two images relating to the skin area to be measured comprises:
acquiring a video of an object to be detected;
identifying an image containing the skin area to be detected from the video;
extracting the at least two images related to the skin area to be detected from the image containing the skin area to be detected;
the identifying the image containing the skin region to be detected from the video comprises:
directly performing color space conversion on an image contained in the video, wherein parameter information carried by the converted image comprises at least one of hue, brightness, lightness and saturation; after the at least two images of the skin area to be detected are obtained, the color space conversion of the images is different from the color space format type of the color space conversion performed in the process of identifying the image containing the skin area to be detected from the video;
and selecting an area of which the parameter information is within a preset parameter range from the image after color space conversion, and taking the area as the skin area to be detected.
2. The method for detecting a non-contact skin resistance variation tendency according to claim 1, wherein after acquiring at least two images of the skin area to be measured, the method further comprises:
and carrying out illumination compensation on the at least two images.
3. The method for detecting skin resistance variation trend in a non-contact manner as claimed in claim 1, wherein the image is color-space-converted, and the converted image carries parameter information including at least one of hue, brightness, lightness and saturation; determining the reflectivity change condition of the skin area to be detected according to the parameter information carried by the converted image, and determining the sweating change condition of the skin area to be detected according to the reflectivity change condition, wherein the method comprises the following steps:
converting the color space of the image into an HSV hue saturation brightness color space or an HSL hue saturation brightness color space;
selecting first parameter information for determining the reflectivity change condition from the parameter information carried by the skin area to be detected in the converted image;
and determining the reflectivity change condition of the skin area to be detected according to the first parameter information, and determining the sweating change condition of the skin area to be detected according to the reflectivity change condition.
4. A non-contact skin resistance variation tendency detection device is characterized by comprising:
the device comprises an image acquisition module, a data acquisition module and a data processing module, wherein the image acquisition module is used for acquiring at least two images related to a skin area to be detected, and the at least two images are shot at different time points;
the space conversion module is used for carrying out color space conversion on the image, and the parameter information carried by the converted image comprises at least one of hue, brightness, lightness and saturation, wherein the color space conversion refers to conversion into an HSV (hue, saturation and level) color space or an HSL (hue, saturation and saturation) color space;
the sweating analysis module is used for determining the reflectivity change condition of the skin area to be detected according to the parameter information carried by the converted image and determining the sweating change condition of the skin area to be detected according to the reflectivity change condition;
the image acquisition module comprises:
the video acquisition submodule is used for acquiring a video of an object to be detected;
the region identification submodule is used for identifying an image containing the skin region to be detected from the video;
an image extraction submodule, configured to extract the at least two images of the skin region to be detected from the image including the skin region to be detected;
the region identifier sub-module comprises:
directly performing color space conversion on an image contained in the video, wherein parameter information carried by the converted image comprises at least one of hue, brightness, lightness and saturation; after the at least two images of the skin area to be detected are obtained, the color space conversion of the images is different from the color space format type of the color space conversion performed in the process of identifying the image containing the skin area to be detected from the video;
and selecting an area of which the parameter information is within a preset parameter range from the image after color space conversion, and taking the area as the skin area to be detected.
5. The non-contact skin resistance variation trend detection device of claim 4, wherein the spatial conversion module and the sweating analysis module comprise:
the color conversion submodule is used for converting the color space of the image into an HSV hue saturation brightness color space or an HSL hue saturation brightness color space;
the parameter selection submodule is used for selecting first parameter information used for determining the reflectivity change condition from the parameter information carried by the skin area to be detected in the converted image;
and the sweating analysis submodule is used for determining the reflectivity change condition of the skin area to be detected according to the first parameter information and determining the sweating change condition of the skin area to be detected according to the reflectivity change condition.
6. A contactless skin resistance change trend detection device comprising a memory, a processor and a computer program stored in the memory and executable on the processor, characterized in that the processor realizes the steps of the method according to any one of claims 1 to 3 when executing the computer program.
7. A computer-readable storage medium, in which a computer program is stored which, when being executed by a processor, carries out the steps of the method according to any one of claims 1 to 3.
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