CN114819015A - User identification method and sample detection device - Google Patents

Abstract

Embodiments of the present invention provide a user identity identification method and a sample detection device, which relate to the technical field of sample detection. The user identification method includes: when it is detected that the current user is using a sample detection device, collecting a sample of the current user, and testing the sample to obtain a sample detection result; acquiring the collected characteristic information of the current user; if the characteristic information has been matched with the user identity information Binding, establish the corresponding relationship between the sample detection results and the target user identity information, the target user identity information is the user identity information bound with the feature information; if the feature information is not bound with the user identity information, establish the sample detection results and characteristics Correspondence between information. In the present invention, the judgment accuracy rate when multiple users use the sample detection device at the same time is improved, and the user does not need to manually set the identity matching of the sample detection results every time, so that the user's use is more convenient and fast, and is especially suitable for the use of elderly users.

Description

User identification method and sample detection device

technical field

The invention relates to the technical field of sample detection, in particular to a user identification method and a sample detection device.

Background technique

As human lifespans increase, the importance of health care and maintenance has received increasing attention. At present, there are domestic detection devices for users to realize the detection of personal body items at home, such as the detection of urine, saliva and other items.

However, in the prior art, in order to monitor the user's health status for a long time and form a report, after the user completes the sample collection and detection with the detection device, the user needs to set the sample and identity information through electronic devices such as mobile phones and tablets each time. The binding relationship is very inconvenient, especially for middle-aged and elderly people who are not familiar with the use of electronic devices.

SUMMARY OF THE INVENTION

The purpose of the present invention is to provide a user identification method and a sample detection device, which can automatically match the sample detection results of each user to the corresponding user identity information, so as to facilitate long-term monitoring of the sample detection results of each user, and based on User characteristic information is used for identity matching judgment, which improves the judgment accuracy when multiple users use the sample detection device at the same time, and does not require the user to manually set the identity matching of the sample detection results every time, making the user more convenient and quick to use, especially suitable for the elderly. user's use.

In order to achieve the above object, the present invention provides a method for user identification, comprising: when it is detected that the current user uses a sample detection device, collecting a sample of the current user, and testing the sample to obtain a sample detection result; obtaining a sample detection result; The collected feature information of the current user; if the feature information has been bound with the user identity information, establish a corresponding relationship between the sample detection results and the target user identity information, and the target user identity information is bound to the feature information the user identity information; if the feature information is not bound with the user identity information, establish a corresponding relationship between the sample detection result and the feature information.

The present invention also provides a sample detection device, comprising: a sample detection device and an information collection device communicatively connected to the sample detection device; the sample detection device is configured to collect data from the sample detection device when it is detected that the current user is using the sample detection device. The sample of the current user is obtained, and the sample is detected to obtain a sample detection result; the information collection device is used to adopt the user's feature information; the sample detection device is also used to obtain the current user's feature from the information collection device. The sample detection device is also used to establish a correspondence between the sample detection result and the target user identity information when the feature information has been bound with the user identity information, and the target user identity information is the same as the feature information. The user identity information bound to the information; the sample detection device is further configured to establish a corresponding relationship between the sample detection result and the characteristic information when the characteristic information is not bound to the user identity information.

The embodiment of the present invention provides a user identity identification method. When it is detected that the current user uses a sample detection device, a sample of the current user is collected, and the sample is detected to obtain a sample detection result; feature information; if the feature information has been bound with the user identity information, establish a corresponding relationship between the sample detection result and the target user identity information, and the target user identity information is the user identity bound with the feature information information, that is, the sample test results of each user can be automatically matched to the corresponding user identity information, which is convenient for long-term monitoring of the sample test results of each user. The judgment accuracy rate of the sample detection device does not require the user to manually set the identity matching of the sample detection results every time, which makes the user more convenient and quick to use, especially suitable for the use of elderly users. If the feature information is not bound to the user identity information, establish a corresponding relationship between the sample detection results and the feature information, and use the feature information as an identifier to pre-classify the sample detection results according to their identities, so as to facilitate subsequent features After the information is bound to the user identity information, the sample detection results are associated with the target user identity information, which improves the user experience.

In one embodiment, the method further includes: for the feature information that is not bound to the user identity information, when it is detected that the feature information is bound to the user identity information, establishing a target sample detection result and the target sample The correspondence between user identity information, and the target sample detection result is the sample detection result corresponding to the feature information.

In one embodiment, the feature information is the collected identification information of the radio frequency marker of the current user.

In one embodiment, the feature information includes any one or any combination of the following: the time when the user enters a preset area, the time when the user uses the sample detection device, the user's gait information, the user's body shape information, and the user's Physical Information.

In one embodiment, the sample detection device is further configured to establish the target sample detection result and the relevant feature information when it is detected that the feature information is bound to the user identity information for the feature information not bound to the user identity information. The corresponding relationship between the target user identity information, the target sample detection result is the sample detection result corresponding to the feature information.

In one embodiment, the information collection device is: a radio frequency detector; the radio frequency detector is used to collect identification information of a user's radio frequency marker as the user's characteristic information.

In one embodiment, the information collection device includes: an infrared pyroelectric sensor and/or a millimeter wave sensor; the feature information includes: the feature information includes any one or any combination of the following: a user enters a preset area. The time, the time when the user used the sample detection device, the user's gait information, the user's body shape information, and the user's physical information.

In one embodiment, the sample detection device further includes a wireless power supply device; the information acquisition device is installed and fixed on the wireless power supply device; the wireless power supply device is used for wirelessly supplying power to the sample detection device.

In one embodiment, the sample detection device is a urine detection device, and the urine detection device is configured to be assembled in a toilet to perform urine collection and detection.

Description of drawings

1 is a schematic diagram of the appearance of a sample detection device to which the user identification method according to the first embodiment of the present invention is applied;

Fig. 2 is a specific flow chart of the method for user identity identification according to the first embodiment of the present invention;

FIG. 3 is a schematic block diagram of a sample detection device according to a second embodiment of the present invention.

Detailed ways

The embodiments of the present invention will be described in detail below with reference to the accompanying drawings, so as to more clearly understand the objects, features and advantages of the present invention. It should be understood that the embodiments shown in the accompanying drawings are not intended to limit the scope of the present invention, but are only intended to illustrate the essential spirit of the technical solutions of the present invention.

In the following description, for the purpose of illustrating various disclosed embodiments, certain specific details are set forth in order to provide a thorough understanding of the various disclosed embodiments. One skilled in the relevant art will recognize, however, that the embodiments may be practiced without one or more of these specific details. In other instances, well-known devices, structures and techniques associated with this application may not be shown or described in detail to avoid unnecessarily obscuring the description of the embodiments.

Unless the context requires otherwise, throughout the specification and claims, the word "comprising" and variations thereof, such as "comprising" and "having", should be construed in an open, inclusive sense, i.e., should be interpreted as "including, but not limited to".

Reference throughout this specification to "one embodiment" or "an embodiment" means that a particular feature, structure, or characteristic described in connection with the embodiment is included in at least one embodiment. Thus, the appearances of "in one embodiment" or "in an embodiment" in various places throughout the specification are not necessarily all referring to the same embodiment. Additionally, the particular features, structures or characteristics may be combined in any manner in one or more embodiments.

As used in this specification and the appended claims, the singular forms "a" and "" include plural referents unless the context clearly dictates otherwise. It should be noted that the term "or" is generally employed in its sense including "or/and" unless the context clearly dictates otherwise.

In the following description, in order to clearly show the structure and working mode of the present invention, many directional words will be used for description, but "front", "rear", "left", "right", "outer", "inner" should be "," "outward", "inward", "up", "down" and other words are understood as convenient terms, and should not be understood as limiting words.

The first embodiment of the present invention relates to a user identification method, which is applied to a sample detection device, such as a urine detection device, a saliva detection device, a blood detection device, a sweat detection device, etc.; In the embodiments, the sample detection device is taken as an example of a urine detection device. The urine detection device is used to be assembled on the inner wall of the toilet, and can collect and detect urine.

Please refer to FIG. 1, the sample detection device includes: a sample detection device 1 and an information collection device 2, and a communication connection between the sample detection device 1 and the information collection device 2, and the sample detection device 1 can be any existing type that can carry out samples. The device for collection and detection is, for example, a device that performs detection through an optical sensor, which is not limited in this embodiment. For example, the sample detection device is a urine detection device, the sample detection device 1 is assembled on the inner wall of the toilet, and can collect and detect urine. The information collection device 2 can be fixed on the outer wall of the toilet, and can detect the user when the user approaches. The characteristic information of the sample is collected, and the sample detection device 1 is connected with the information collection device 2 in wireless communication.

The specific flow of the user identity identification method of this embodiment is shown in FIG. 2 .

Step 101 , when it is detected that the current user is using the sample detection device, a sample of the current user is collected, and the sample is detected to obtain a sample detection result.

Specifically, when the sample detection device in the sample detection device detects that there is sample contact, it determines that a user is using the sample detection device, controls the sample detection device to collect samples, collects samples from the current user, and detects the collected samples. to get the sample detection result of the current user's sample.

Step 102: Obtain the collected feature information of the current user.

Specifically, the information collection device in the sample detection device collects the feature information of the current user when a user enters the set effective detection range, and then when it is detected that the current user is using the sample detection device, the sample detection device starts from The characteristic information of the current user is acquired in the information collection device.

Among them, the type of feature information is related to the type of information collection device. For example, the information collection device is a radio frequency detector, and each user corresponds to a unique radio frequency identifier. The radio frequency identifier can be set for different scenarios, such as gym storage. wristbands, slippers in nursing homes, campus cards in schools, wristbands in hospitals, etc. Therefore, when a user carrying a radio frequency marker enters the effective detection range of the radio frequency detector, the radio frequency detector can collect the identification of the user's radio frequency marker The information is used as the characteristic information of the user, that is, the characteristic information is the collected identification information of the radio frequency marker of the current user, which is suitable for use in high-density scenarios of new users, and only needs to access the user database of the radio frequency identifier to the sample. The detection device can realize user identity identification, which is more convenient and quicker, and improves the user experience.

Alternatively, the information collection device includes: an infrared pyroelectric sensor and/or a millimeter wave sensor. The feature information includes any one or any combination of the following: the time when the user enters the preset area, the time when the user uses the sample detection device, the user's gait information, the user's body shape information, and the user's physical information. For example, if the information collection device is an infrared pyroelectric sensor, the characteristic information of the user that can be collected includes: the time when the user enters the preset area (that is, the time when the user enters the effective detection range) and the time when the user uses the sample detection device . If the information collection device is a millimeter wave sensor, the characteristic information of the user that can be collected includes: the time when the user enters the preset area, the time when the user uses the sample detection device, the user's gait information, the user's body shape information, and the user's physical signs information. Among them, the user's gait information can be obtained by processing the raw data collected by the millimeter-wave sensor by using a preset algorithm; the body shape information includes but is not limited to: standard body, reverse body, thick body, backward leaning body, bent body, flat body, Obese body, convex chest body, convex buttock body, low hip body, high and low hip body, high body, low body, etc.; physical information includes but not limited to: breathing frequency (BR) ) and heart rate (HR), etc.

Step 103: Determine whether the feature information has been bound with the user identity information. If yes, go to step 104; if no, go to step 105.

Step 104: Establish a correspondence between the sample detection result and target user identity information, where the target user identity information is the user identity information bound with the feature information.

Step 105, establishing a correspondence between the sample detection result and the feature information.

Specifically, after using the sample detection device at any time, the user can establish a communication connection with the sample detection device through an electronic device such as a mobile phone, and establish a binding between his own identity information and feature information. Therefore, after each time the sample detection device completes the sample detection of the current user and obtains the characteristic information of the current user, it compares the characteristic information of the current user with the characteristic information bound with the user identity information, so as to query the current user Whether the feature information has been bound with the user identity information.

If the feature information of the current user matches the feature information bound with the user identity information, it is determined that the feature information of the current user has been bound with the user identity information, and the sample detection result of the current user's sample is directly associated with the target user identity information. , establish the corresponding relationship between the sample detection result and the target user identity information, and the target user identity information is the user identity information bound with the feature information of the current user, so that the sample detection results of each user can be automatically It is matched to the corresponding user identity information, which is convenient for long-term monitoring of the sample detection results of each user, and at the same time, the identity matching judgment is made based on the user characteristic information, which improves the judgment accuracy when multiple users use the sample detection device at the same time. It is necessary to manually set the identity matching of the sample test results, which makes the user more convenient and quick to use, especially suitable for the use of elderly users.

If the feature information of the current user does not match the feature information bound with the user identity information, the feature information of the current user is associated with the current sample test result, and the current user feature information and the current sample test result are established. The corresponding relationship between the sample detection results and the user's characteristic information can be pre-associated, and the characteristic information of different users is different, so that the characteristic information is used as an identifier to pre-classify the sample detection results according to their identities, so as to facilitate the follow-up characteristic information. After binding to the user identity information, the sample detection results are associated with the target user identity information.

In one example, step 105, followed by:

Step 106, for the feature information that is not bound with the user identity information, when it is detected that the feature information is bound with the user identity information, establish a corresponding relationship between the target sample detection result and the target user identity information, The target sample detection result is the sample detection result corresponding to the feature information.

Specifically, for each feature information that is not bound to the user identity information, the sample detection results are pre-classified with the feature information. The corresponding sample detection results are recorded as the target sample detection results, and the correspondence between all the target sample detection results and the target user identity information is established (the target user identity information is the user identity information bound to the feature information) Therefore, when the user's characteristic information is not bound with the user's identity information, the characteristic information is used to classify the sample detection results according to their identities, and then if the user uses the sample detection device at any time, the characteristic information is bound with the user's identity information. , can bind all previous sample test results with user identity information, improving user experience.

This embodiment provides a user identity identification method. When it is detected that the current user uses a sample detection device, a sample of the current user is collected, and the sample is detected to obtain a sample detection result; the characteristics of the current user collected are obtained. If the feature information has been bound with the user identity information, establish a corresponding relationship between the sample detection results and the target user identity information, and the target user identity information is the user identity information bound with the feature information. , that is, the sample detection results of each user can be automatically matched to the corresponding user identity information, which is convenient for long-term monitoring of the sample detection results of each user, and at the same time, the identity matching judgment based on the user characteristic information can be used to improve the simultaneous use of samples by multiple users. The judgment accuracy rate of the detection device does not require the user to manually set the identity matching of the sample detection results every time, which makes the user's use more convenient and fast, and is especially suitable for the use of elderly users. If the feature information is not bound to the user identity information, establish a corresponding relationship between the sample detection results and the feature information, and use the feature information as an identifier to pre-classify the sample detection results according to their identities, so as to facilitate subsequent features After the information is bound to the user identity information, the sample detection results are associated with the target user identity information, which improves the user experience.

The second embodiment of the present invention relates to a sample detection device, which is used for sample collection and detection. The sample detection device is, for example, a urine detection device, a saliva detection device, a blood detection device, a sweat detection device, etc.; In the following embodiments, the sample detection device is taken as an example of a urine detection device, and the urine detection device is used to be assembled on the inner wall of the toilet, and can collect and detect urine.

Please refer to FIG. 1 , the sample detection device includes: a sample detection device 1 and an information collection device 2 , and a communication connection between the sample detection device 1 and the information collection device 2 . The sample detection device 1 may be any type of existing device that can perform sample collection and detection, for example, a device that performs detection through an optical sensor, which is not limited in this embodiment. For example, the sample detection device is a urine detection device, the sample detection device 1 is assembled on the inner wall of the toilet, and can collect and detect urine. The information collection device 2 can be fixed on the outer wall of the toilet, and can detect the user when the user approaches. The characteristic information of the sample is collected, and the sample detection device 1 is connected with the information collection device 2 in wireless communication.

The sample detection device 1 is configured to collect a sample of the current user when it is detected that the current user is using the sample detection device, and to detect the sample to obtain a sample detection result. Specifically, when the sample detection device 1 detects that there is sample contact, it determines that a user is using the sample detection device, controls the sample detection device to collect samples, collects the sample of the current user, and detects the collected sample to obtain the current user's sample. Sample test results for the sample.

The information collection device 2 is used for adopting the characteristic information of the user. Specifically, the information collection device 2 collects the feature information of the current user when a user enters the set effective detection range, and subsequently when it is detected that the current user is using the sample detection device 1, the sample detection device 1 retrieves the information from the information collection device. 2 to obtain the feature information of the current user.

Among them, the type of feature information is related to the type of information collection device. For example, the information collection device is a radio frequency detector, and each user corresponds to a unique radio frequency identifier. The radio frequency identifier can be set for different scenarios, such as gym storage. wristbands, slippers in nursing homes, campus cards in schools, wristbands in hospitals, etc. Therefore, when a user carrying a radio frequency marker enters the effective detection range of the radio frequency detector, the radio frequency detector can collect the identification of the user's radio frequency marker The information is used as the characteristic information of the user, that is, the characteristic information is the collected identification information of the radio frequency marker of the current user, which is suitable for use in high-density scenarios of new users, and only needs to access the user database of the radio frequency identifier to the sample. The detection device can realize user identity identification, which is more convenient and quicker, and improves the user experience.

Alternatively, the information collection device includes: an infrared pyroelectric sensor and/or a millimeter wave sensor. The feature information includes any one or any combination of the following: the time when the user enters the preset area, the time when the user uses the sample detection device, the user's gait information, the user's body shape information, and the user's physical information. For example, if the information collection device is an infrared pyroelectric sensor, the characteristic information of the user that can be collected includes: the time when the user enters the preset area (that is, the time when the user enters the effective detection range) and the time when the user uses the sample detection device . If the information collection device is a millimeter wave sensor, the characteristic information of the user that can be collected includes: the time when the user enters the preset area, the time when the user uses the sample detection device, the user's gait information, the user's body shape information, and the user's physical signs information. Among them, the user's gait information can be obtained by processing the raw data collected by the millimeter-wave sensor by using a preset algorithm; the body shape information includes but is not limited to: standard body, reverse body, thick body, backward leaning body, bent body, flat body, Obese body, convex chest body, convex buttock body, low hip body, high and low hip body, high body, low body, etc.; physical information includes but not limited to: breathing frequency (BR) ) and heart rate (HR), etc.

The sample detection device 1 is further configured to acquire characteristic information of the current user from the information collection device 2 .

The sample detection device 1 is also used to establish a correspondence between the sample detection result and the target user identity information when the feature information has been bound with the user identity information, and the target user identity information is the same as the feature information. The bound user identity information.

The sample detection device 1 is further configured to establish a correspondence between the sample detection result and the characteristic information when the characteristic information is not bound with the user identity information.

In an example, the sample detection device 1 is further configured to establish the target sample detection result and the relevant feature information when it is detected that the feature information is bound to the user identity information for the feature information that is not bound with the user identity information. The corresponding relationship between the target user identity information, the target sample detection result is the sample detection result corresponding to the feature information.

In an example, please refer to FIG. 3 , the sample detection device further includes a wireless power supply device 3 , and the information collection device 2 is installed and fixed on the wireless power supply device 3 ; the wireless power supply device 3 is used to detect the sample Device 1 is wirelessly powered. For example, the sample detection device is a urine detection device. The sample detection device 1 is assembled on the inner wall of the toilet, and the wireless power supply device 3 is fixed on the outer wall of the toilet at a position corresponding to the sample detection device 1. The collection device 2 is fixed on the wireless power supply device 3 .

It should be noted that, in this embodiment, the sample detection device 1 can also send the user's characteristic information and the sample detection result to the server, and the server can perform the establishment of the sample when the characteristic information has been bound with the user's identity information. The corresponding relationship between the detection result and the target user identity information, the target user identity information is the user identity information bound with the feature information, and when the feature information is not bound with the user identity information, establish the Correspondence between the sample detection result and the feature information. Similarly, the server can also establish a relationship between the detection result of the target sample and the target user identity information when detecting that the feature information is bound to the user identity information for the feature information that is not bound to the user identity information. Corresponding relationship, the target sample detection result is the sample detection result corresponding to the feature information; thus, the power consumption of the sample detection device can be reduced, and the computing power requirement of the sample detection device can be reduced.

Since the first embodiment and this embodiment correspond to each other, this embodiment can be implemented in cooperation with the first embodiment. The relevant technical details mentioned in the first embodiment are still valid in this embodiment, and the technical effects that can be achieved in the first embodiment can also be achieved in this embodiment. In order to reduce repetition, details are not repeated here. Correspondingly, the relevant technical details mentioned in this embodiment can also be applied in the first embodiment.

The preferred embodiments of the present invention have been described in detail above, but it is to be understood that aspects of the embodiments can be modified, if desired, to employ aspects, features and concepts of various patents, applications and publications to provide additional embodiments.

These and other changes can be made to the embodiments in view of the above detailed description. In general, in the claims, the terms used should not be construed as limiting to the specific embodiments disclosed in the specification and the claims, but should be construed to include all possible embodiments, along with all equivalents to which these claims are entitled scope.

Claims (10)

1. A user identity recognition method is characterized by comprising the following steps:

when detecting that a current user uses a sample detection device, collecting a sample of the current user, and detecting the sample to obtain a sample detection result;

acquiring collected characteristic information of a current user;

if the characteristic information is bound with user identity information, establishing a corresponding relation between the sample detection result and target user identity information, wherein the target user identity information is the user identity information bound with the characteristic information;

and if the characteristic information is not bound with the user identity information, establishing a corresponding relation between the sample detection result and the characteristic information.

2. The method of claim 1, further comprising: and for the characteristic information which is not bound with the user identity information, when the condition that the characteristic information is bound with the user identity information is detected, establishing a corresponding relation between a target sample detection result and the target user identity information, wherein the target sample detection result is the sample detection result corresponding to the characteristic information.

3. The method according to claim 1, wherein the characteristic information is collected identification information of the radio frequency marker of the current user.

4. The method according to claim 1, wherein the feature information includes any one or any combination of the following: the time when the user enters a preset area, the time when the user uses the sample detection device, the gait information of the user, the body type information of the user and the physical sign information of the user.

5. The sample detection device is characterized by comprising a sample detection device and an information acquisition device which is in communication connection with the sample detection device;

the sample detection device is used for collecting a sample of a current user when the sample detection device is detected to be used by the current user, and detecting the sample to obtain a sample detection result;

the information acquisition device is used for adopting the characteristic information of the user;

the sample detection equipment is also used for acquiring characteristic information of a current user from the information acquisition device;

the sample detection equipment is also used for establishing a corresponding relation between the sample detection result and target user identity information when the characteristic information is bound with the user identity information, and the target user identity information is the user identity information bound with the characteristic information;

the sample detection device is also used for establishing the corresponding relation between the sample detection result and the characteristic information when the characteristic information is not bound with the user identity information.

6. The sample detection apparatus according to claim 5, wherein the sample detection device is further configured to, for the feature information that is not bound to the user identity information, establish a correspondence between a target sample detection result and the target user identity information when the feature information is detected to be bound to the user identity information, where the target sample detection result is the sample detection result corresponding to the feature information.

7. The sample testing device of claim 5, wherein said information collection device is: a radio frequency detector;

the radio frequency detector is used for collecting identification information of a radio frequency marker of a user as characteristic information of the user.

8. The sample testing device of claim 5, wherein said information acquisition device comprises: infrared pyroelectric sensors and/or millimeter wave sensors;

the characteristic information includes: the characteristic information comprises any one or any combination of the following: the time when the user enters a preset area, the time when the user uses the sample detection device, the gait information of the user, the body type information of the user and the physical sign information of the user.

9. The sample testing device of claim 5, further comprising a wireless power supply; the information acquisition device is fixedly arranged on the wireless power supply equipment;

the wireless power supply equipment is used for wirelessly supplying power for the sample detection equipment.

10. The sample testing device of any one of claims 5 to 9, wherein said device is a urine testing device for fitting in a toilet for urine collection testing.

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