A physiological sign detection method for a wristband device and related components

Abstract

The present application relates to the field of physiological sign detection, and discloses a physiological sign detection method of a wristband device and related components, which are applied to a wristband device including a camera module. The method includes: obtaining a target image captured by the camera module, and uploading the target image to a server for parsing to determine whether the target image includes an image of a user's finger. If so, determining whether the number of fingers reaches a preset value to determine whether the current wearing position of the wristband device is the expected position. If not, determining whether the target image includes an image of the user's ulnar styloid process to determine whether the current wearing position is the expected position. Thus, the user's finger image and ulnar styloid process image are captured by the camera module, and it is determined whether the number of fingers in the captured image reaches a preset value, and whether the captured image includes an image of the user's ulnar styloid process to determine whether the wearing position is the expected position, thereby reminding the user to adjust the wearing position and improving the accuracy of physiological sign detection.

Description

Technical Field

[0001] The present application relates to the field of physiological sign detection, and in particular to a physiological sign detection method of a wristband device and related components. Background Art

[0002] With the continuous development of science and technology, wearable devices (such as wristband devices, VR glasses, etc.) are applied to all aspects of life. Current wristband devices have the function of detecting physiological signs such as heart rate and blood oxygen, which are used to monitor the user's heart rate status in real time, which is of great significance to the user's exercise effect and health management.

[0003] At present, the accuracy of physiological sign detection such as heart rate and blood oxygen is related to the area of ​​the blood vessels transmitted by the wristband device. For example, the heart rate detection of smart watches is realized by a PPG (plethysmography) method. During the detection, the dial of the smart watch irradiates the light source into the human skin tissue and calculates the user's heart rate based on the reflection signal of the incident light from the blood vessels. However, when the dial is worn on the radial head or ulnar styloid process, since these two places are mainly bones and have fewer blood vessels, the heart rate detection will be inaccurate.

[0004] It can be seen that how to ensure that the wristband device is worn in the expected position to improve the accuracy of physiological sign detection of the wristband device is a problem that needs to be solved urgently by those skilled in the art. Summary of the invention

[0005] The purpose of this application is to provide a physiological sign detection method and related components of a wristband device, which can promptly remind the user to adjust the wristband device to the expected position, thereby improving the accuracy of physiological sign detection of the wristband device.

[0006] In order to solve the above technical problems, the present application provides a physiological sign detection method of a wristband device, which is applied to a wristband device including a camera module, and the method comprises:

[0007] Acquire a target image captured by the camera module;

[0008] Uploading the target image to a server so as to parse the target image and obtain a parsing result;

[0009] When it is determined according to the analysis result that the target image includes an image of the user's fingers, determining whether the number of the user's fingers reaches a preset value to determine whether the current wearing position of the wristband device is an expected position;

[0010] When it is determined according to the parsing result that the target image does not include an image of the user's finger, it is determined whether the target image includes an image of the user's ulnar styloid process to determine whether the current wearing position of the wristband device is the expected position.

[0011] Preferably, determining whether the number of the user's fingers reaches a preset value to determine whether the current wearing position of the wristband device is the expected position includes:

[0012] When the number of the user's fingers reaches the preset value, determining the current wearing position of the wristband device as the expected position;

[0013] When the number of the user's fingers does not reach the preset value, the step of determining whether the target image includes an image of the user's ulnar styloid process is performed to determine whether the current wearing position of the wristband device is the expected position.

[0014] Preferably, the step of judging whether the target image includes an image of the user's ulnar styloid process to determine whether the current wearing position of the wristband device is the expected position comprises:

[0015] When the target image does not include the image of the ulnar styloid process of the user, determining that the current wearing position of the wristband device is not the expected position;

[0016] When the target image includes the image of the ulnar styloid process of the user, determining whether the position of the image of the ulnar styloid process of the user in the target image exceeds a first preset range;

[0017] If it does not exceed the first preset range, the current wearing position of the wristband device is determined to be the expected position.

[0018] Preferably, before acquiring the target image captured by the camera module, the method further includes:

[0019] Acquire at least one physiological sign-related data of the current user;

[0020] Determine whether there is at least one physiological sign-related data exceeding a corresponding second preset range;

[0021] If so, proceed to the step of obtaining the target image captured by the camera module;

[0022] If not, when it is determined that the autonomous physiological sign detection instruction is obtained and / or the current moment reaches the moment corresponding to every first preset time period, the step of obtaining the target image captured by the camera module is entered.

[0023] Preferably, parsing the target image to obtain a parsing result includes:

[0024] Retrieving an initial image captured by the camera module when the wristband device is in an optimal wearing position;

[0025] The target image and the initial image are compared to obtain the analysis result.

[0026] Preferably, the physiological sign detection method of the wristband device further includes:

[0027] Starting from the moment the target image is acquired, if the current wearing position of the wristband device is determined to be the expected position at any moment within the second preset time period, detecting the current user's physiological signs;

[0028] If it is determined within the second preset time that the current wearing position of the wristband device is not the expected position, then after the second preset time, the step of detecting the physiological signs of the current user is entered.

[0029] Preferably, the camera module is arranged on a side wall of a dial of the wristband device, and is arranged on a side capable of capturing an image of a user's hand.

[0030] In order to solve the above technical problems, the present application also provides a physiological sign detection device for a wristband device, which is applied to a wristband device including a camera module, and the device includes:

[0031] An acquisition module, used to acquire a target image captured by the camera module;

[0032] An uploading module, used for uploading the target image to a server so as to parse the target image and obtain a parsing result;

[0033] a determination module, configured to determine whether the number of the user's fingers reaches a preset value to determine whether the current wearing position of the wristband device is an expected position when it is determined according to the analysis result that the target image includes an image of the user's fingers;

[0034] The judgment module is used to judge whether the target image includes an image of the user's ulnar styloid process to determine whether the current wearing position of the wristband device is the expected position when it is determined according to the analysis result that the target image does not include an image of the user's finger.

[0035] In order to solve the above technical problems, the present application also provides a wristband device, including a memory for storing a computer program;

[0036] The processor is used to implement the steps of the physiological sign detection method of the wristband device when executing the computer program.

[0037] In order to solve the above technical problems, the present application also provides a computer-readable storage medium, on which a computer program is stored. When the computer program is executed by a processor, the steps of the physiological sign detection method of the wristband device are implemented.

[0038] A physiological sign detection method for a wristband device provided by the present invention is applied to a wristband device including a camera module, the method comprising: obtaining a target image captured by the camera module, and uploading the target image to a server so as to parse the target image to obtain a parsing result, when it is determined according to the parsing result that the target image includes an image of the user's fingers, determining whether the number of the user's fingers reaches a preset value to determine whether the current wearing position of the wristband device is the expected position, and when it is determined according to the parsing result that the target image does not include an image of the user's fingers, determining whether the target image includes an image of the user's ulnar styloid process to determine whether the current wearing position of the wristband device is the expected position. It can be seen that the technical solution provided by the present application collects user finger images and ulnar styloid process images through a camera module, and determines whether the number of the user's fingers in the collected image reaches a preset value, and whether the collected image includes an image of the user's ulnar styloid process to determine whether the current wearing position of the wristband device is the expected position, thereby reminding the user to adjust the wearing position, thereby improving the accuracy of physiological sign detection and improving the user experience.

[0039] In addition, the present application also provides a wristband device, and a physiological sign detection device and medium for the wristband device, which correspond to the physiological sign detection method of the wristband device mentioned above and have the same effect as above. BRIEF DESCRIPTION OF THE DRAWINGS

[0040] In order to more clearly illustrate the embodiments of the present application, the following is a brief introduction to the drawings required for use in the embodiments. Obviously, the drawings described below are only some embodiments of the present application. For ordinary technicians in this field, other drawings can be obtained based on these drawings without paying any creative work.

[0041] Figure 1 A flowchart of a physiological sign detection method of a wristband device provided in an embodiment of the present application;

[0042] Figure 2 A schematic diagram of wearing a wristband device provided in an embodiment of the present application;

[0043] Figure 3 A structural diagram of a physiological sign detection device of a wristband device provided in an embodiment of the present application;

[0044] Figure 4 A structural diagram of a wristband device provided in another embodiment of the present application;

[0045] The reference numerals are as follows: 1 is a wristband device, and 2 is a camera module. DETAILED DESCRIPTION

[0046] The following will be combined with the drawings in the embodiments of the present application to clearly and completely describe the technical solutions in the embodiments of the present application. Obviously, the described embodiments are only part of the embodiments of the present application, not all of the embodiments. Based on the embodiments in the present application, all other embodiments obtained by ordinary technicians in this field without creative work are within the scope of protection of this application.

[0047] The core of this application is to provide a physiological sign detection method and related components of a wristband device, which collects images of the user's fingers and ulnar styloid process through a camera module in the wristband device, and determines whether the current wearing position of the wristband device is the expected position based on whether the number of collected fingers reaches a preset value and whether the collected image includes the ulnar styloid process, thereby improving the accuracy of physiological sign detection of the wristband device.

[0048] In order to enable those skilled in the art to better understand the present application, the present application is further described in detail below in conjunction with the accompanying drawings and specific implementation methods.

[0049] As people's quality of life continues to improve, various wearable devices have entered people's lives, such as common wristband devices. Current wristband devices have the function of detecting physiological signs such as heart rate and blood oxygen.

[0050] In the current detection technology for physiological signs such as heart rate and blood oxygen, the detection accuracy is related to the area of ​​the wristband device that transmits specific light to the blood vessels. For example, the heart rate detection of smart watches is realized based on the PPG (plethysmographic wave) method. During the detection, the dial of the smart watch irradiates the light source into the human skin tissue and calculates the user's heart rate based on the reflection signal of the blood vessels to the incident light. However, when the dial is worn to the radial head or ulnar styloid process, since these two places are mainly bones and have fewer blood vessels, the heart rate detection will be inaccurate.

[0051] Therefore, in order to improve the efficiency of physiological sign detection of wristband devices, an embodiment of the present application provides a physiological sign detection method for a wristband device, which captures a target image through a camera module on the wristband device, and determines whether the number of user fingers in the target image reaches a preset value, and whether the target image contains the ulnar styloid process to determine whether the current wearing position of the wristband device is the expected position, so as to remind the user to adjust the wearing position in time, thereby improving the accuracy of the wristband device in detecting physiological signs.

[0052] Figure 1 This is a flow chart of a physiological sign detection method for a wristband device provided in an embodiment of the present application. The method is applied to a wristband device including a camera module. It should be noted that the wristband device may be a smart watch or a smart bracelet, etc., which is not limited in the present application. The method provided in the embodiment of the present application includes:

[0053] S10: Acquire a target image captured by a camera module;

[0054] In a specific embodiment, when the user initiates the collection of physiological signs on his own initiative, or when the current physiological sign-related data is abnormal, that is, when any physiological sign-related data exceeds the corresponding second preset range, or every first preset time, it is determined that the wearing position of the current wristband device needs to be detected and calibrated. At this time, the target image collected by the camera module on the wristband device is obtained.

[0055] It should be noted that the purpose of capturing the target image is to determine whether the number of user fingers in the target image reaches a preset value, and whether the target image includes the image of the ulna styloid process, to confirm whether the current wearing position of the wristband device is the expected position. Therefore, the camera module should be set on the dial wall of the wristband device, and on the side that can capture the user's hand image. For example, in a smart watch, the camera module is set near the knob for adjusting the watch hands. As a result, the camera module can successfully capture the user's hand image when it is started. In addition, it should be noted that the camera that captures the target image in the camera module is a wide-angle camera.

[0056] S11: uploading the target image to the server so as to parse the target image and obtain a parsing result;

[0057] After the target image is obtained through step S10, the target image is uploaded to the server, and the server retrieves the initial image captured by the camera module when the wristband device is in the optimal wearing position, and compares the initial image with the captured target image to obtain an analysis result.

[0058] It is understandable that the CPU in the wristband device can directly analyze the captured target image, or the wristband device can upload the target image to a server for analysis. Since the data processing capability of the wristband device itself is relatively low, in order to increase the analysis rate, it is preferred to upload the data to a server for analysis.

[0059] S12: when it is determined according to the analysis result that the target image includes an image of the user's fingers, determining whether the number of the user's fingers reaches a preset value to determine whether the current wearing position of the wristband device is the expected position;

[0060] In implementation, when the wristband device is worn in the expected position, the target image captured by the camera module includes an image of the user's finger or an image of the user's ulnar styloid process. If the image of the user's finger is included, it can be determined whether the current wearing position is the expected position by determining whether the number of current fingers reaches a preset value. Specifically, when the number of fingers reaches the preset value, the current wearing position is determined to be the expected position. Correspondingly, when the number of fingers does not reach the preset value, it is determined that the current wearing position is not the expected position.

[0061] It should be noted that the expected position is a position that can accurately detect physiological signs, for example, the dial of the wristband device is located in the center of the back of the wrist. This application does not make any specific limitation on the expected position.

[0062] S13: When it is determined according to the analysis result that the target image does not include an image of the user's finger, it is determined whether the target image includes an image of the user's ulnar styloid process to determine whether the current wearing position of the wristband device is the expected position.

[0063] It is understandable that the wearing position initially determined by the number of fingers is not the expected position, which may be due to the poor wearing position of the wristband device or the user's hand being at an angle that is not conducive to the camera module shooting. At this time, it is necessary to further determine whether the current wearing position is the expected position based on whether the target image contains the ulnar styloid process image.

[0064] Specifically, when the target image includes an ulnar styloid process image, and the position of the ulnar styloid process image in the target image is within a first preset range, the current wearing position is determined to be the expected position. If the target image does not include the ulnar styloid process image, it is determined that the current wearing position is not the expected position, that is, the current wearing position is not conducive to detecting various physiological signs. At this time, a prompt signal is sent to the terminal to remind the user to adjust the wearing position in time.

[0065] The physiological sign detection method of the wristband device provided in the embodiment of the present application is applied to the wristband device including the camera module, and the method includes: obtaining the target image captured by the camera module, and uploading the target image to the server so as to parse the target image to obtain the parsing result, when it is determined according to the parsing result that the image of the user's finger is included in the target image, determining whether the number of the user's fingers reaches a preset value to determine whether the current wearing position of the wristband device is the expected position, and when it is determined according to the parsing result that the image of the user's finger is not included in the target image, determining whether the target image includes the image of the user's ulnar styloid process to determine whether the current wearing position of the wristband device is the expected position. It can be seen that the technical solution provided by the present application collects the image of the user's finger and the image of the ulnar styloid process through the camera module, and determines whether the number of the user's fingers in the collected image reaches a preset value, and whether the collected image includes the image of the user's ulnar styloid process to determine whether the current wearing position of the wristband device is the expected position, thereby reminding the user to adjust the wearing position, thereby improving the accuracy of physiological sign detection and improving the user experience.

[0066] Figure 2 A schematic diagram of wearing a wristband device provided in an embodiment of the present application is shown in FIG. Figure 2As shown, when the wristband device is worn in the expected position and the user's fingers are in a specific position (for example, when the fingers are stretched horizontally), the target image captured by the camera module includes the user's hand image. It is understandable that when the number of user fingers in the target image reaches a preset value, for example, when the number of fingers is greater than or equal to 4, the current wearing position is determined to be the expected position. If the number of user fingers in the target image does not reach the preset value, it is necessary to further determine whether the current wearing position is the expected position based on whether the target image includes an image of the user's ulnar styloid process and the position of the ulnar styloid process image in the target image.

[0067] The physiological sign detection method of the wristband device provided in the embodiment of the present application determines whether the number of the user's fingers reaches a preset value to determine whether the current wearing position of the wristband device is the expected position. When the number of the user's fingers reaches the preset value, the current wearing position of the wristband device is determined to be the expected position. When the number of the user's fingers does not reach the preset value, it is further determined whether the current wearing position is the expected position based on whether the target image includes an image of the user's ulnar styloid process. Thus, the finger image and the ulnar styloid process image are combined to determine the wearing position of the wristband device, so as to promptly remind the user to adjust the wearing position, thereby improving the user experience.

[0068] In a specific embodiment, determining whether the target image includes an image of the user's ulnar styloid process to determine whether the current wearing position of the wristband device is the expected position includes:

[0069] When the target image does not include an image of the ulnar styloid process of the user, determining that the current wearing position of the wristband device is not the expected position;

[0070] When the target image includes an image of the user's ulnar styloid process, determining whether the position of the image of the user's ulnar styloid process in the target image exceeds a first preset range;

[0071] If it does not exceed the first preset range, it is determined that the current wearing position of the wristband device is the expected position.

[0072] When the user makes a fist, the camera module cannot capture the user's fingers. Figure 2 As shown, the ulnar styloid process is a protruding bone, which is a good judgment point when determining the wearing position of the wristband device. If the camera module cannot capture the user's fingers, the position of the ulnar styloid process in the target image can be judged to determine whether it is correctly worn in the expected position.

[0073] When the wristband device 1 is worn in the expected position, the target image captured by the camera module 2 includes an image of the user's ulnar styloid process, and when the wristband device 1 is worn on the left hand, the position of the ulnar styloid process image is located in the upper left corner of the target image, and when the wristband device 1 is worn on the right hand, the position of the ulnar styloid process image is located in the upper right corner of the target image.

[0074] Correspondingly, when the wristband device 1 is worn in an unexpected position, the target image captured by the camera module 2 may not include the ulnar styloid process image, or the position of the ulnar styloid process image is not within the first preset range, that is, when the wristband device 1 is worn on the left hand, the position of the ulnar styloid process image is not in the upper left corner of the target image, and when the wristband device 1 is worn on the right hand, the position of the ulnar styloid process image is not in the upper right corner of the target image.

[0075] Therefore, if the number of user fingers in the target image does not reach the preset value, it is necessary to further determine whether the current wearing position is in the expected position based on the image of the user's ulnar styloid process. Specifically, first determine whether the target image includes the ulnar styloid process image. If it is included, further determine whether the position of the ulnar styloid process image in the target image exceeds the first preset range. If it exceeds the first preset range, for example, the offset exceeds 20%, it is determined that the current wearing position is not conducive to detecting the user's physiological signs, and a prompt signal is transmitted to the terminal to remind the user to adjust the wearing position. If the position of the ulnar styloid process image in the target image does not exceed the preset range, it is determined that the current wearing position is in the expected position.

[0076] The physiological sign detection method of a wristband device provided in an embodiment of the present application further determines whether the wearing position of the wristband device is in the expected position according to the position of the ulnar styloid process in the target image when the number of user fingers in the target image does not reach a preset value, thereby improving the accuracy of the wristband device in detecting physiological signs.

[0077] In a specific embodiment, in order to avoid wasting resources, before acquiring the target image captured by the camera module, the method further includes:

[0078] Acquire at least one physiological sign-related data of the current user;

[0079] Determining whether there is at least one physiological sign-related data exceeding a corresponding second preset range;

[0080] If it exists, enter the step of obtaining the target image captured by the camera module;

[0081] If not, when it is determined that the autonomous physiological sign detection instruction is obtained and / or the current moment reaches the moment corresponding to every first preset time length, the step of obtaining the target image captured by the camera module is entered.

[0082] If the wearing position of the wristband device is detected at all times, it will undoubtedly increase the energy consumption of the wristband device and waste resources. Therefore, before acquiring the target image captured by the camera module for wearing position detection, first obtain the physiological sign-related data of the current user, and determine whether any of the physiological sign-related data exceeds the corresponding second preset range. If so, it is determined that the current wearing position may not be conducive to detecting physiological signs. At this time, the camera module is started to capture the target image for wearing position detection. For example, if the heart rate value of the current user exceeds the second preset range corresponding to the heart rate, the relevant steps of the wristband device wearing position detection are started.

[0083] Furthermore, if the current data related to each physiological sign exceeds the corresponding preset range, but if an instruction for the user to independently detect the physiological signs is obtained at this time and / or the current moment reaches the moment corresponding to the first preset time interval, the relevant steps of detecting the wearing position of the wristband device are started.

[0084] That is to say, if the current data related to each physiological sign is abnormal, or the user chooses to independently detect a certain physiological sign, or the condition of detecting the wearing position once every preset time period set in advance is met, the relevant steps of detecting the wearing position of the wristband device are initiated, that is, obtaining the target image captured by the camera module in order to detect the current wearing position of the wristband device.

[0085] The physiological sign detection method of the wristband device provided in the embodiment of the present application first obtains the physiological sign related data of the current user before obtaining the target image captured by the camera module, and determines whether any physiological sign related data exceeds the corresponding second preset range. If so, enter the step of obtaining the target image captured by the camera module. If not, when it is determined that the autonomous physiological sign detection instruction is obtained and / or the current moment reaches the moment corresponding to every first preset time, enter the step of obtaining the target image captured by the camera module. In this way, the waste of resources caused by constantly detecting the wearing position of the wristband device is avoided, the use time of the wristband device after charging is extended, and the user experience is further improved.

[0086] During implementation, in order to improve the efficiency of detecting the wearing position of the wristband device and at the same time ensure the usage time of the wristband device after one charge, when the target image captured by the camera module is obtained, the target image is transmitted to the server for analysis.

[0087] The target image is parsed to obtain the parsing results including:

[0088] Retrieving an initial image captured by the camera module when the wristband device is in the optimal wearing position;

[0089] Compare the target image with the initial image to get the parsing result.

[0090] In fact, as long as the number of user fingers in the target image and the position of the ulnar styloid process in the target image can be identified, it can be determined whether the current wearing position is the expected position. However, in order to further improve the detection efficiency and accuracy,

[0091] When a user uses a wristband device for the first time, the corresponding guidance teaching of the wristband device will guide the user through the mobile phone APP to wear the watch correctly and keep the palm straight and horizontal. At this time, the initial image is collected through the camera module on the wristband device and the image is uploaded to the server for storage.

[0092] After acquiring the target image captured by the camera module, the server retrieves the initial image and compares it with the target image to obtain parsing data, so as to further determine whether the wristband device is at the expected position based on the parsing data.

[0093] In addition, based on the initially captured image, it can be ensured that the current wristband device can only be used by the designated user. When the target image and the initial image are compared to determine the change of user, the prompt signal and the current location information of the wristband device can be transmitted to terminal devices such as mobile phones, thereby improving the safety of the use of the wristband device.

[0094] The physiological sign detection method of a wristband device provided in the embodiment of the present application analyzes the target image captured by the camera module through the server, and determines the analysis result according to the initial image captured by the camera module when the wristband device is in the optimal wearing position. In this way, the resources of the wristband device are saved while improving the detection accuracy of the wristband device, thereby improving the user experience.

[0095] As a preferred embodiment, the physiological sign detection method of a wristband device provided in the embodiment of the present application starts timing from the moment the target image is acquired. If the current wearing position of the wristband device is determined to be the expected position at any time within the second preset time period, the physiological signs of the current user are detected immediately.

[0096] Of course, if it is determined within the second preset time that the current wearing position of the wristband device is not the expected position, then after the second preset time, the relevant steps of detecting the current user's physiological signs are forced to be entered. For ease of understanding, an example will be given below.

[0097] For example, the second preset time is 2 minutes, and the timing starts when the target image is fully acquired. At any time within 2 minutes, if it is determined that the current wearing position of the wristband device is the expected position, the user's physiological signs are immediately detected. That is, within 2 minutes, if the user adjusts the wearing position to the expected position, the physiological signs are immediately detected.

[0098] If the user still does not adjust the wearing position to the expected position after more than 2 minutes, the physiological sign detection will be directly started. At the same time, a prompt signal indicating that the wearing position is not in the expected position will be transmitted to the terminal.

[0099] The physiological sign detection method of the wristband device provided in the embodiment of the present application starts timing from the moment of acquiring the target image. If the current wearing position of the wristband device is determined to be the expected position at any time within the second preset time, the physiological sign of the current user is detected. If the current wearing position of the wristband device is determined not to be the expected position within the second preset time, the step of detecting the physiological sign of the current user is entered after the second preset time. Thus, it is ensured that the physiological sign can still be detected when the user fails to adjust the wearing position in time.

[0100] It is understandable that in order to ensure that the wristband device is worn in the expected position, the camera module can capture the user's finger image and ulnar styloid process image. Figure 2 As shown, the camera module is arranged on the side wall of the dial and on the side that can capture the image of the user's hand.

[0101] Specifically, the wristband of the wristband device and the camera in the camera module are both arranged on the side of the dial, and the camera has a first extension line along the direction of the captured image, and the wristband has a second extension line along its own length direction. An angle is set between the projection of the first extension line in the horizontal plane and the projection of the second extension line in the horizontal plane, and the angle is preferably 90 degrees, so that the camera module can capture images in the direction of the user's hand.

[0102] The physiological sign detection method of a wristband device provided in an embodiment of the present application sets a camera module on the side wall of the dial of the wristband device, and is set on the side that can capture the user's hand image, thereby ensuring that the camera module can capture the user's hand image when the wristband device is worn in the expected position, and determine whether the wearing position of the wristband device is in the expected position based on the captured image, and promptly remind the user to adjust the wearing position, thereby improving the accuracy of physiological sign detection.

[0103] In the above embodiments, the physiological sign detection method of the wristband device is described in detail, and the present application also provides an embodiment corresponding to the physiological sign detection device of the wristband device. It should be noted that the present application describes the embodiments of the device part from two perspectives, one is based on the perspective of the functional module, and the other is based on the perspective of the hardware structure.

[0104] Figure 3 This is a structural diagram of a physiological sign detection device of a wristband device provided in an embodiment of the present application, such as Figure 3 As shown, the device comprises:

[0105] An acquisition module 10 is used to acquire a target image captured by a camera module;

[0106] The uploading module 11 is used to upload the target image to the server so as to parse the target image and obtain the parsing result;

[0107] A determination module 12, configured to determine whether the number of the user's fingers reaches a preset value when it is determined according to the analysis result that the target image includes an image of the user's fingers, so as to determine whether the current wearing position of the wristband device is the expected position;

[0108] The judging module 13 is used to judge whether the target image includes an image of the user's ulnar styloid process to determine whether the current wearing position of the wristband device is the expected position when it is determined according to the analysis result that the target image does not include an image of the user's finger.

[0109] Since the embodiments of the apparatus part correspond to the embodiments of the method part, please refer to the description of the embodiments of the method part for the embodiments of the apparatus part, which will not be repeated here.

[0110] The physiological sign detection device of the wristband device provided in the embodiment of the present application is applied to the wristband device including the camera module, and the device includes: obtaining the target image captured by the camera module, and uploading the target image to the server so as to parse the target image to obtain the parsing result, when it is determined according to the parsing result that the image of the user's finger is included in the target image, determining whether the number of the user's fingers reaches a preset value to determine whether the current wearing position of the wristband device is the expected position, and when it is determined according to the parsing result that the image of the user's finger is not included in the target image, determining whether the image of the user's ulnar styloid process is included in the target image to determine whether the current wearing position of the wristband device is the expected position. It can be seen that the technical solution provided by the present application collects the image of the user's finger and the image of the ulnar styloid process through the camera module, and determines whether the number of the user's fingers in the collected image reaches a preset value, and whether the position of the image of the ulnar styloid process exceeds the first preset range to determine whether the current wearing position of the wristband device is the expected position, thereby reminding the user to adjust the wearing position, thereby improving the accuracy of physiological sign detection and improving the user experience.

[0111] Figure 4 A structural diagram of a wristband device provided in another embodiment of the present application, such as Figure 4 As shown, the wristband device includes: a memory 20 for storing a computer program;

[0112] The processor 21 is used to implement the steps of the physiological sign detection method of the wristband device mentioned in the above embodiment when executing the computer program.

[0113] Among them, the processor 21 may include one or more processing cores, such as a 4-core processor, an 8-core processor, etc. The processor 21 can be implemented in at least one hardware form of a digital signal processor (Digital Signal Processor, referred to as DSP), a field programmable gate array (Field-Programmable Gate Array, referred to as FPGA), and a programmable logic array (Programmable Logic Array, referred to as PLA). The processor 21 may also include a main processor and a coprocessor. The main processor is a processor for processing data in the awake state, also known as a central processing unit (Central Processing Unit, referred to as CPU); the coprocessor is a low-power processor for processing data in the standby state. In some embodiments, the processor 21 may be integrated with a graphics processor (Graphics Processing Unit, referred to as GPU), which is responsible for rendering and drawing the content to be displayed on the display screen. In some embodiments, the processor 21 may also include an artificial intelligence (Artificial Intelligence, referred to as AI) processor, which is used to process computing operations related to machine learning.

[0114] The memory 20 may include one or more computer-readable storage media, which may be non-transitory. The memory 20 may also include a high-speed random access memory, and a non-volatile memory, such as one or more disk storage devices, flash memory storage devices. In this embodiment, the memory 20 is at least used to store the following computer program 201, wherein, after the computer program is loaded and executed by the processor 21, it can implement the relevant steps of the physiological sign detection method of the wristband device disclosed in any of the aforementioned embodiments. In addition, the resources stored in the memory 20 may also include an operating system 202 and data 203, etc., and the storage method may be temporary storage or permanent storage. Among them, the operating system 202 may include Windows, Unix, Linux, etc. The data 203 may include, but is not limited to, the relevant data involved in the physiological sign detection method of the wristband device.

[0115] In some embodiments, the wristband device may further include a display screen 22 , an input / output interface 23 , a communication interface 24 , a power source 25 , and a communication bus 26 .

[0116] Those skilled in the art will understand that Figure 4 The structure shown in the figure does not constitute a limitation on the wristband device, and may include more or fewer components than shown in the figure.

[0117] The wristband device provided in the embodiment of the present application includes a memory and a processor. When the processor executes the program stored in the memory, it can implement the following method: a physiological sign detection method of a wristband device.

[0118] The wristband device provided in the embodiment of the present application collects user finger images and ulnar styloid process images through a camera module, and determines whether the number of user fingers in the collected image reaches a preset value, and whether the position of the ulnar styloid process image exceeds a first preset range to determine whether the current wearing position of the wristband device is the expected position, thereby reminding the user to adjust the wearing position, thereby improving the accuracy of physiological sign detection and improving user experience.

[0119] Finally, the present application also provides an embodiment corresponding to a computer-readable storage medium. The computer-readable storage medium stores a computer program, and when the computer program is executed by a processor, the steps recorded in the above method embodiment are implemented.

[0120] It is understandable that if the method in the above embodiment is implemented in the form of a software functional unit and sold or used as an independent product, it can be stored in a computer-readable storage medium. Based on this understanding, the technical solution of the present application is essentially or the part that contributes to the prior art or all or part of the technical solution can be embodied in the form of a software product, and the computer software product is stored in a storage medium to execute all or part of the steps of the method described in each embodiment of the present application. The aforementioned storage medium includes: U disk, mobile hard disk, read-only memory (Read-Only Memory, referred to as ROM), random access memory (Random Access Memory, referred to as RAM), disk or optical disk and other media that can store program code.

[0121] The above is a detailed introduction to a physiological sign detection method and related components of a wristband device provided by the present application. The various embodiments in the specification are described in a progressive manner, and each embodiment focuses on the differences from other embodiments. The same and similar parts between the embodiments can be referenced to each other. For the device disclosed in the embodiment, since it corresponds to the method disclosed in the embodiment, the description is relatively simple, and the relevant parts can be referred to the method part description. It should be pointed out that for ordinary technicians in this technical field, without departing from the principles of the present application, several improvements and modifications can be made to the present application, and these improvements and modifications also fall within the scope of protection of the claims of the present application.

[0122] It should also be noted that, in this specification, relational terms such as first and second, etc. are only used to distinguish one entity or operation from another entity or operation, and do not necessarily require or imply any such actual relationship or order between these entities or operations. Moreover, the terms "comprise", "include" or any other variants thereof are intended to cover non-exclusive inclusion, so that a process, method, article or device including a series of elements includes not only those elements, but also other elements not explicitly listed, or also includes elements inherent to such process, method, article or device. In the absence of further restrictions, an element defined by the statement "comprises a ..." does not exclude the presence of other identical elements in the process, method, article or device including the element.

Claims

1. A physiological sign detection method for a wristband device, It is characterized in that Applied to a wristband device including a camera module, the method comprises: Acquire a target image captured by the camera module; Uploading the target image to a server so as to parse the target image and obtain a parsing result; When it is determined according to the analysis result that the target image includes an image of the user's fingers, determining whether the number of the user's fingers reaches a preset value to determine whether the current wearing position of the wristband device is an expected position; When it is determined according to the parsing result that the target image does not include an image of a user's finger, determining whether the target image includes an image of the user's ulnar styloid process to determine whether the current wearing position of the wristband device is the expected position; Wherein, determining whether the number of the user's fingers reaches a preset value to determine whether the current wearing position of the wristband device is the expected position includes: When the number of the user's fingers reaches the preset value, determining the current wearing position of the wristband device as the expected position; When the number of the user's fingers does not reach the preset value, entering the step of determining whether the target image includes an image of the user's ulnar styloid process to determine whether the current wearing position of the wristband device is the expected position; The step of judging whether the target image includes an image of the ulnar styloid process of the user to determine whether the current wearing position of the wristband device is the expected position includes: When the target image does not include the image of the ulnar styloid process of the user, determining that the current wearing position of the wristband device is not the expected position; When the target image includes the image of the ulnar styloid process of the user, determining whether the position of the image of the ulnar styloid process of the user in the target image exceeds a first preset range; If it does not exceed the first preset range, the current wearing position of the wristband device is determined to be the expected position.

2. The physiological sign detection method of the wristband device according to claim 1, It is characterized in that Before acquiring the target image captured by the camera module, the method further includes: Acquire at least one physiological sign-related data of the current user; Determine whether there is at least one physiological sign-related data exceeding a corresponding second preset range; If so, proceed to the step of obtaining the target image captured by the camera module; If not, when it is determined that the autonomous physiological sign detection instruction is obtained and / or the current moment reaches the moment corresponding to every first preset time period, the step of obtaining the target image captured by the camera module is entered.

3. The physiological sign detection method of the wristband device according to claim 1, It is characterized in that Parsing the target image to obtain a parsing result includes: Retrieving an initial image captured by the camera module when the wristband device is in an optimal wearing position; The target image and the initial image are compared to obtain the analysis result.

4. The physiological sign detection method of the wristband device according to claim 1, It is characterized in that Also includes: Starting from the moment the target image is acquired, if the current wearing position of the wristband device is determined to be the expected position at any moment within the second preset time period, detecting the current user's physiological signs; If it is determined within the second preset time that the current wearing position of the wristband device is not the expected position, then after the second preset time, the step of detecting the physiological signs of the current user is entered.

5. The physiological sign detection method of the wristband device according to claim 1, It is characterized in that The camera module is arranged on the side wall of the dial of the wristband device and is arranged on the side that can collect the image of the user's hand.

6. A physiological sign detection device for a wristband device, It is characterized in that Applicable to a wristband device including a camera module, the device comprising: An acquisition module, used to acquire a target image captured by the camera module; An uploading module, used for uploading the target image to a server so as to parse the target image and obtain a parsing result; a determination module, configured to determine whether the number of the user's fingers reaches a preset value when it is determined according to the analysis result that the target image includes an image of the user's fingers, to determine whether the current wearing position of the wristband device is an expected position; a judging module, configured to judge whether the target image includes an image of the user's ulnar styloid process to determine whether the current wearing position of the wristband device is the expected position when it is determined according to the parsing result that the target image does not include an image of the user's finger; Wherein, the physiological sign detection device of the wristband device is specifically used for: When the number of the user's fingers reaches the preset value, determining the current wearing position of the wristband device as the expected position; When the number of the user's fingers does not reach the preset value, entering the step of determining whether the target image includes an image of the user's ulnar styloid process to determine whether the current wearing position of the wristband device is the expected position; The physiological sign detection device of the wristband device is specifically used for: When the target image does not include the image of the ulnar styloid process of the user, determining that the current wearing position of the wristband device is not the expected position; When the target image includes the image of the ulnar styloid process of the user, determining whether the position of the image of the ulnar styloid process of the user in the target image exceeds a first preset range; If it does not exceed the first preset range, the current wearing position of the wristband device is determined to be the expected position.

7. A wristband device, It is characterized in that comprising a memory for storing a computer program; A processor, configured to implement the steps of the method for detecting physiological signs of a wristband device as claimed in any one of claims 1 to 5 when executing the computer program.

8. A computer-readable storage medium, It is characterized in that The computer-readable storage medium stores a computer program, and when the computer program is executed by a processor, the steps of the method for detecting physiological signs of a wristband device according to any one of claims 1 to 5 are implemented.

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