Intelligent monitoring method and device for user health

Abstract

The application discloses a kind of intelligent monitoring method and device for user health, which comprises: based on the current health state data of target user acquisition first intelligent equipment;Based on the health state data reference value of target user acquisition in historical health state database;According to the current health state data of target user and the health state data reference value of target user, generate the health state feedback information of target user, and send health state feedback information to second intelligent equipment, to trigger second intelligent equipment output the health state feedback information of target user, first intelligent equipment and second intelligent equipment are different intelligent equipment in target internet of things.

Description

TECHNICAL FIELD

[0001] The present application relates to the technical field of health monitoring, in particular to a user health intelligent monitoring method and device. BACKGROUND

[0002] With the development of computer and network technology, the function of health data collection is integrated in wearable devices, and the human health state data of users can be detected based on wearable devices. However, the mainstream of the current wearable health state monitoring device is in the form of bracelet, arm band, etc., and the user usually needs to consciously wear it; after collecting the human health state data of the user, the data is transmitted to the mobile phone so that the user can know his health state. However, when the user does not carry the mobile phone, he cannot know his health state data and cannot monitor his health condition in real time.

[0003] Therefore, how to provide a convenient method for monitoring the health state of a user is a technical problem to be solved in the art. SUMMARY

[0004] The technical problem to be solved by the present application is how to monitor the health state of a user in real time, and to provide a user health intelligent monitoring method and device, to obtain the health state data of a user in real time and output health state feedback information based on an intelligent device, so as to facilitate the user to monitor his own health state information.

[0005] In order to solve the above technical problem, the present application discloses a user health intelligent monitoring method in the first aspect, which comprises:

[0006] Collecting the current health state data of a target user based on a first intelligent device, wherein the first intelligent device comprises an intelligent wearable device, and the target user is a user using the first intelligent device;

[0007] Obtaining the health state data reference value of the target user based on the target historical health state data in a historical health state database, wherein the historical health state database stores target historical health state data matched with the target user;

[0008] Generating the health state feedback information of the target user according to the current health state data of the target user and the health state data reference value of the target user;

[0009] Sending the health state feedback information of the target user to a second intelligent device to trigger the second intelligent device to output the health state feedback information of the target user, wherein the second intelligent device comprises at least one of an intelligent wearable device or a smart home device;

[0010] The first smart device and the second smart device are different smart devices in the target Internet of Things.

[0011] As an optional implementation form, before the health state feedback information of the target user is sent to the second smart device to trigger the second smart device to output the health state feedback information of the target user, the method further comprises:

[0012] determining whether there is a smart glass in a wearing state in the target Internet of Things;

[0013] if there is no smart glass in a wearing state in the target Internet of Things, obtaining a smart device with an output function and in a working state in the target Internet of Things, and determining the smart device with the output function and in the working state as the second smart device;

[0014] if there is a smart glass in a wearing state in the target Internet of Things, determining whether a user wearing the smart glass is the target user;

[0015] if the user wearing the smart glass is the target user, determining the smart glass as the second smart device;

[0016] if the user wearing the smart glass is not the target user, obtaining a smart device with an output function and in a working state in the target Internet of Things, and determining the smart device with the output function and in the working state as the second smart device.

[0017] As an optional implementation form, in the first aspect of the application, the determination of whether the user wearing the smart glass is the target user comprises:

[0018] obtaining at least one first physiological characteristic information of the target user to obtain a first physiological characteristic information set;

[0019] collecting second physiological characteristic information of the user wearing the smart glass based on the smart glass;

[0020] determining whether there is target first physiological characteristic information matching the second physiological characteristic information in the first physiological characteristic information set;

[0021] if there is target first physiological characteristic information matching the second physiological characteristic information in the first physiological characteristic information set, it is determined that the user wearing the smart glass is the target user.

[0022] As an optional implementation form, in the first aspect of the application, the determination of whether the user wearing the smart glass is the target user comprises:

[0023] The posture of the target user is determined based on the first smart device, wherein the posture includes standing, sitting or lying down.

[0024] Obtain the first location information of the first smart device and the second location information of the smart glasses;

[0025] Based on the first location information and the second location information, the actual relative position of the smart glasses with respect to the first smart device is determined;

[0026] Determine whether the actual relative position of the smart glasses with respect to the first smart device matches the target user's posture and the first position information;

[0027] If the actual relative position of the smart glasses with respect to the first smart device matches the posture of the target user and the first position information, then the user wearing the smart glasses is determined to be the target user.

[0028] As an optional implementation, in the first aspect of the present invention, after the smart glasses are identified as a second smart device, and before the health status feedback information of the target user is sent to the second smart device to trigger the second smart device to output the health status feedback information of the target user, the method further includes:

[0029] Receive the target image captured by the smart glasses in the current field of view;

[0030] The area to be projected is determined based on the health status feedback information of the target user.

[0031] Determine whether there exists a target projection region in the target image that matches the area of ​​the region to be projected;

[0032] If there is a target projection area in the target image that matches the area of ​​the area to be projected, then the step of sending the health status feedback information of the target user to the second smart device is executed to trigger the second smart device to output the health status feedback information of the target user.

[0033] As an optional implementation, in a first aspect of the present invention, the step of acquiring a smart device with output function and in a working state in the target Internet of Things, and determining the smart device with output function and in a working state as a second smart device, includes:

[0034] Obtain at least one smart device with output function and in working state in the target Internet of Things to obtain a first candidate smart device set;

[0035] Obtain the current working status of each candidate smart device in the first candidate smart device set;

[0036] For each candidate smart device in the first candidate smart device set, based on the working status of the candidate smart device, determine the degree of influence of the target user's health status feedback information output by the candidate smart device on the current working status of the candidate smart device, and obtain the output influence degree corresponding to the candidate smart device;

[0037] Select at least one target candidate smart device from all the candidate smart devices whose output influence is less than or equal to a preset influence threshold;

[0038] The target candidate smart device with the smallest distance value from the first smart device among all the target candidate smart devices is determined as the second smart device.

[0039] As an optional implementation, in the first aspect of the present invention, the first smart device is a smart slipper;

[0040] Before collecting the target user's current health status data based on the first smart device, the method further includes:

[0041] Obtain the standard contact area between the smart slippers and the ground;

[0042] The smart slippers collect data on the current contact area between the target user's foot and the smart slippers.

[0043] Determine whether the ratio of the current contact area to the standard contact area is greater than a preset ratio threshold;

[0044] When the ratio of the current contact area to the standard contact area is greater than a preset ratio threshold, the step of collecting the target user's current health status data based on the first intelligent device is executed.

[0045] A second aspect of the present invention discloses an intelligent monitoring device for user health, the device comprising:

[0046] The data collection module is used to collect the current health status data of the target user based on the first smart device, wherein the first smart device includes a smart wearable device, and the target user is a user using the first smart device;

[0047] The acquisition module is used to acquire a health status data reference value of the target user based on the target historical health status data in the historical health status database, wherein the historical health status database stores target historical health status data that matches the target user.

[0048] The generation module is used to generate health status feedback information for the target user based on the target user's current health status data and the target user's health status data reference value;

[0049] A sending module is used to send the health status feedback information of the target user to a second smart device to trigger the second smart device to output the health status feedback information of the target user, wherein the second smart device includes at least one of a smart wearable device or a smart home device;

[0050] The first smart device and the second smart device are different smart devices in the target Internet of Things.

[0051] As an optional implementation, in a second aspect of the invention, the apparatus further includes:

[0052] The first judgment module is used to determine whether there are smart glasses being worn in the target Internet of Things;

[0053] The first determining module is configured to, if the first determining module determines that there are no smart glasses in the target Internet of Things that are being worn, then obtain a smart device with output function and in working state in the target Internet of Things, and determine the smart device with output function and in working state as the second smart device.

[0054] The second judgment module is used to determine whether the user wearing the smart glasses is the target user if the first judgment module determines that there are smart glasses in the target Internet of Things that are being worn.

[0055] The second determining module is used to determine the smart glasses as a second smart device if the second determining module determines that the user wearing the smart glasses is the target user;

[0056] The first determining module is further configured to, if the second determining module determines that the user wearing the smart glasses is not the target user, acquire a smart device with output function and in working state in the target Internet of Things, and determine the smart device with output function and in working state as the second smart device.

[0057] As an optional implementation, in a second aspect of the present invention, the second determining module determines whether the user wearing the smart glasses is the target user in the following ways:

[0058] Obtain at least one first physiological characteristic information of the target user to obtain a first physiological characteristic information set;

[0059] The smart glasses collect the second physiological characteristic information of the wearer.

[0060] Determine whether there is a target first physiological feature information in the first physiological feature information set that matches the second physiological feature information;

[0061] If the first set of physiological feature information contains target first physiological feature information that matches the second set of physiological feature information, then the user wearing the smart glasses is determined to be the target user.

[0062] As an optional implementation, in a second aspect of the present invention, the second determining module determines whether the user wearing the smart glasses is the target user in the following ways:

[0063] The posture of the target user is determined based on the first smart device, wherein the posture includes standing, sitting or lying down.

[0064] Obtain the first location information of the first smart device and the second location information of the smart glasses;

[0065] Based on the first location information and the second location information, the actual relative position of the smart glasses with respect to the first smart device is determined;

[0066] Determine whether the actual relative position of the smart glasses with respect to the first smart device matches the target user's posture and the first position information;

[0067] If the actual relative position of the smart glasses with respect to the first smart device matches the posture of the target user and the first position information, then the user wearing the smart glasses is determined to be the target user.

[0068] As an optional implementation, in a second aspect of the present invention, the device further includes a third determination module;

[0069] The third determination module is used for: after the second determination module determines the smart glasses as a second smart device, receiving the target image of the current field of view collected by the smart glasses; determining the area of ​​the area to be projected based on the health status feedback information of the target user; and determining whether there is a target projection area in the target image that matches the area of ​​the area to be projected.

[0070] The sending module is further configured to, if the third judgment module determines that there is a target projection area in the target image that matches the area of ​​the area to be projected, then execute the operation of sending the health status feedback information of the target user to the second smart device to trigger the second smart device to output the health status feedback information of the target user.

[0071] As an optional implementation, in a second aspect of the present invention, the first determining module acquires a smart device with output function and in a working state in the target Internet of Things, and determines the smart device with output function and in a working state as a second smart device in the following ways:

[0072] Obtain at least one smart device with output function and in working state in the target Internet of Things to obtain a first candidate smart device set;

[0073] Obtain the current working status of each candidate smart device in the first candidate smart device set;

[0074] For each candidate smart device in the first candidate smart device set, based on the working status of the candidate smart device, determine the degree of influence of the target user's health status feedback information output by the candidate smart device on the current working status of the candidate smart device, and obtain the output influence degree corresponding to the candidate smart device;

[0075] Select at least one target candidate smart device from all the candidate smart devices whose output influence is less than or equal to a preset influence threshold;

[0076] The target candidate smart device with the smallest distance value from the first smart device among all the target candidate smart devices is determined as the second smart device.

[0077] As an optional implementation, in a second aspect of the present invention, the first smart device is a smart slipper; the data acquisition module is further configured to:

[0078] Before collecting the target user's current health status data based on the first smart device, the standard contact area between the smart slippers and the ground is obtained;

[0079] The smart slippers collect data on the current contact area between the target user's foot and the smart slippers.

[0080] Determine whether the ratio of the current contact area to the standard contact area is greater than a preset ratio threshold;

[0081] When the ratio of the current contact area to the standard contact area is greater than a preset ratio threshold, the operation of collecting the target user's current health status data based on the first intelligent device is executed.

[0082] A third aspect of the present invention discloses another intelligent monitoring device for user health, the device comprising:

[0083] Memory containing executable program code;

[0084] A processor coupled to the memory;

[0085] The processor calls the executable program code stored in the memory to execute the intelligent monitoring method for user health disclosed in the first aspect of the present invention.

[0086] The fourth aspect of the present invention discloses a computer-storable medium storing computer instructions, which, when invoked, are used to execute the intelligent monitoring method for user health disclosed in the first aspect of the present invention.

[0087] Compared with the prior art, the embodiments of the present invention have the following beneficial effects:

[0088] In this embodiment of the invention, the current health status data of the target user is collected by a first smart device; a reference value for the target user's health status data is obtained based on the target's historical health status data in a historical health status database; health status feedback information for the target user is generated based on the target user's current health status data and the target user's reference value; and the target user's health status feedback information is sent to a second smart device to trigger the second smart device to output the target user's health status feedback information. The first smart device and the second smart device are different smart devices in the target Internet of Things (IoT). Therefore, implementing this invention enables real-time acquisition of the user's health status data and allows for the output of health status feedback information based on smart devices within the same IoT, which improves the efficiency and convenience for users to obtain health status feedback information and facilitates users' monitoring of their own health status. Attached Figure Description

[0089] To more clearly illustrate the technical solutions in the embodiments of the present invention, the accompanying drawings used in the description of the embodiments will be briefly introduced below. Obviously, the accompanying drawings described below are only some embodiments of the present invention. For those skilled in the art, other drawings can be obtained based on these drawings without creative effort.

[0090] Figure 1 This is a flowchart illustrating an intelligent monitoring method for user health disclosed in an embodiment of the present invention;

[0091] Figure 2 This is a flowchart illustrating another intelligent monitoring method for user health disclosed in an embodiment of the present invention;

[0092] Figure 3 This is a schematic diagram of the structure of an intelligent monitoring device for user health disclosed in an embodiment of the present invention;

[0093] Figure 4 This is a schematic diagram of the structure of another intelligent monitoring device for user health disclosed in an embodiment of the present invention;

[0094] Figure 5 This is a schematic diagram of the structure of another intelligent monitoring device for user health disclosed in an embodiment of the present invention. Detailed Implementation

[0095] To enable those skilled in the art to better understand the present invention, the technical solutions of the present invention will be clearly and completely described below with reference to the accompanying drawings of the embodiments of the present invention. Obviously, the described embodiments are only some embodiments of the present invention, and not all embodiments. Based on the embodiments of the present invention, all other embodiments obtained by those skilled in the art without creative effort are within the scope of protection of the present invention.

[0096] The terms "first," "second," etc., used in the specification, claims, and accompanying drawings of this invention are used to distinguish different objects, not to describe a specific order. Furthermore, the terms "comprising" and "having," and any variations thereof, are intended to cover non-exclusive inclusion. For example, a process, method, apparatus, product, or end that includes a series of steps or units is not limited to the listed steps or units, but may optionally include steps or units not listed, or may optionally include other steps or units inherent to these processes, methods, products, or ends.

[0097] In this document, the term "embodiment" means that a particular feature, structure, or characteristic described in connection with an embodiment may be included in at least one embodiment of the invention. The appearance of this phrase in various places throughout the specification does not necessarily refer to the same embodiment, nor is it a separate or alternative embodiment mutually exclusive with other embodiments. It will be explicitly and implicitly understood by those skilled in the art that the embodiments described herein can be combined with other embodiments.

[0098] This invention discloses an intelligent method and device for monitoring user health, which can acquire user health status data in real time and output health status feedback information based on intelligent devices, facilitating users' monitoring of their own health status. Detailed descriptions follow.

[0099] Example 1

[0100] Please see Figure 1 , Figure 1 This is a flowchart illustrating an intelligent user health monitoring method disclosed in an embodiment of the present invention. Figure 1 The described intelligent monitoring method for user health can be applied to smart devices or servers; this embodiment of the invention does not limit its application. Figure 1 As shown, this intelligent monitoring method for user health may include the following operations:

[0101] S101. Collect the current health status data of the target user based on the first smart device. The first smart device includes a smart wearable device, and the target user is the user using the first smart device.

[0102] In this embodiment of the invention, the first smart device is a smart device capable of collecting user health status data. The first smart device can be a smart wearable device, such as a smartwatch, smart bracelet, or smart slippers, or a smart home medical device, such as a smart blood pressure monitor, smart thermometer, or smart pulse oximeter. User health status data can include vital signs such as blood pressure, blood oxygen saturation, blood glucose, heart rate, and body temperature, as well as basic status data such as height, weight, and medical history. When a user wears or is wearing the first smart device, the first smart device can collect the user's health status data.

[0103] In this embodiment of the invention, optionally, the first smart device is a smart slipper. Before step S101, which involves collecting the target user's current health status data based on the first smart device, the method further includes:

[0104] Obtain the standard contact area between the smart slippers and the floor;

[0105] Based on the smart slippers, the current contact area between the target user's sole and the smart slippers is collected;

[0106] Determine whether the ratio of the current contact area to the standard contact area is greater than a preset ratio threshold;

[0107] When the ratio of the current contact area to the standard contact area is greater than the preset ratio threshold, step S101 is executed.

[0108] In an optional embodiment of the present invention, to avoid significant errors in the collected user health status data due to improper wearing, the target user's wearing status needs to be determined before collecting the target user's current health status data. First, the standard contact area when the smart slippers are fully in contact with the ground is obtained. Then, the current contact area between the target user's foot and the smart slippers is obtained. By calculating the ratio of the current contact area to the standard contact area, the target user's current wearing status of the smart slippers can be determined. When the ratio of the current contact area to the standard contact area is greater than a preset ratio threshold, it indicates that the target user's wearing is correct, and the target user's current health status data can be collected based on the first smart device. The preset ratio threshold can be determined manually or through machine learning.

[0109] It is evident that implementing this optional embodiment can avoid significant errors in the collected user health status data caused by improper wearing of smart devices.

[0110] S102. Based on the target historical health status data in the historical health status database, obtain the target user's health status data reference value, wherein the historical health status database stores target historical health status data that matches the target user.

[0111] In this embodiment of the invention, due to individual differences, the reference values ​​for the health status of different users may differ under normal conditions. Target historical health status data matching the target user is obtained from a historical health status database. This data is then analyzed to determine numerical patterns, thereby obtaining the corresponding health status reference value for the target user. This reference value represents the normal value or normal range of the target user's health status data under normal conditions. For example, the reference value for user 1's blood pressure is 120 mmHg / 80 mmHg, and for user 2's blood pressure is 110 mmHg / 70 mmHg. Of course, for different types of health status data, analyzing historical health status data to obtain reference values ​​can be achieved through mathematical statistics calculations or machine learning.

[0112] In this embodiment of the invention, optionally, the first smart device is a smart slipper. Before step S102, which obtains the target user's health status data reference value based on the target historical health status data in the historical health status database, the method further includes:

[0113] Obtain the target user's identity information collected by smart slippers;

[0114] Determine whether a historical user exists in the historical user database that matches the target user's identity information;

[0115] If there is a historical user whose identity information matches that of the target user, then the user identifier of the historical user will be used as the user identifier of the target user.

[0116] If no historical user matches the target user's identity information, a new user identifier is created and designated as the target user's user identifier.

[0117] As can be seen, implementing this optional embodiment can determine the identity of the user currently using the smart slippers based on the identity information collected by the smart slippers, and can also create new user identifiers for new users.

[0118] S103. Generate health status feedback information for the target user based on the target user's current health status data and the target user's health status data reference value.

[0119] In this embodiment of the invention, after analyzing the target user's historical health status data to obtain a reference value for the target user's health status data, this reference value can be used to analyze the target user's current health status data, thereby determining the target user's current health status and obtaining health status feedback information. The health status feedback information may include the target user's vital signs data (normal / abnormal), or it may include health guidance information tailored to the target user. For example, when user 1's current blood pressure measurement is 140 mmHg / 100 mmHg, health status feedback information indicating abnormal blood pressure can be provided; alternatively, health guidance information tailored to user 1 can be provided in conjunction with user 1's medical history, such as reminding the user to take antihypertensive medication or to maintain a peaceful mood.

[0120] S104. Send the target user's health status feedback information to the second smart device to trigger the second smart device to output the target user's health status feedback information. The second smart device includes at least one of a smart wearable device or a smart home device. The first smart device and the second smart device are different smart devices within the target Internet of Things (IoT).

[0121] In this embodiment of the invention, to avoid the inability to obtain timely health status feedback information when the user does not carry a mobile phone, the invention uses a second smart device within the same Internet of Things (IoT) as the output device for outputting the target user's health status feedback information. For example, the first smart terminal transmits the health status feedback information to the second smart device within the smart home IoT via the smart home IoT. The second smart device can be a smart wearable device or a smart home device. Through the second smart device within the smart home IoT, the user's health status can be monitored and reminded in real time, allowing the user to conveniently view their health data while at home, thus encouraging them to pay more attention to their health.

[0122] It is evident that implementation is as follows Figure 1 The described intelligent health monitoring method can acquire users' health status data in real time and output health status feedback information based on smart devices in the same Internet of Things, which helps to improve the efficiency and convenience of users obtaining health status feedback information and makes it easier for users to monitor their own health status.

[0123] Example 2

[0124] Please see Figure 2 , Figure 2 This is a flowchart illustrating another intelligent user health monitoring method disclosed in an embodiment of the present invention. Figure 2The described intelligent monitoring method for user health can be applied to smart devices or servers; this embodiment of the invention does not limit its application. Figure 2 As shown, this intelligent monitoring method for user health may include the following operations:

[0125] S201. Collect the current health status data of the target user based on the first smart device, wherein the first smart device includes a smart wearable device, and the target user is the user using the first smart device.

[0126] S202. Based on the target historical health status data in the historical health status database, obtain the target user's health status data reference value, wherein the historical health status database stores target historical health status data that matches the target user.

[0127] S203. Generate health status feedback information for the target user based on the target user's current health status data and the target user's health status data reference value.

[0128] S204. Send the target user's health status feedback information to the second smart device to trigger the second smart device to output the target user's health status feedback information. The second smart device includes at least one of a smart wearable device or a smart home device. The first smart device and the second smart device are different smart devices within the target Internet of Things (IoT).

[0129] In this embodiment of the invention, for other detailed descriptions of steps S201-S204, please refer to the detailed description of steps S101-S104 in Embodiment 1. These details will not be repeated in this embodiment of the invention.

[0130] Before step S204, which sends the target user's health status feedback information to the second smart device to trigger the second smart device to output the target user's health status feedback information, the method further includes:

[0131] S205. Determine whether there are smart glasses being worn in the target IoT. If there are smart glasses being worn in the target IoT, proceed to step S206; if there are no smart glasses being worn in the target IoT, proceed to step S208.

[0132] In this embodiment of the invention, before sending the target user's health status feedback information to the second smart device, the most suitable smart device can be selected as the second smart device through analysis of the current scenario. When smart glasses are present in the target IoT network and are being worn, they can be considered as a candidate second smart device for outputting the target user's health status feedback information. When no smart glasses are present in the target IoT network and are being worn, they cannot be used as the second smart device for outputting the target user's health status feedback information; in this case, other smart devices in the IoT network need to be selected as the second smart device.

[0133] S206. Determine whether the user wearing the smart glasses is the target user. If the user wearing the smart glasses is the target user, proceed to step S207; if the user wearing the smart glasses is not the target user, proceed to step S208.

[0134] In this embodiment of the invention, when there are smart glasses being worn in the target Internet of Things (IoT), and the user wearing the smart glasses is the target user (i.e., the target user is simultaneously wearing / wearing a first smart device for collecting current health status data (such as smart slippers) and the smart glasses), the smart glasses can be used as a second smart device to output health status feedback information to the target user. When the user wearing the smart glasses is not the target user, the smart glasses cannot be used as a second smart device to output health status feedback information to the target user, and it is necessary to further acquire other smart devices in the IoT as the second smart device.

[0135] S207. The smart glasses are designated as a second smart device.

[0136] S208. Obtain smart devices with output functions and in working state in the target Internet of Things, and identify the smart devices with output functions and in working state as the second smart devices.

[0137] In this embodiment of the invention, when there are no smart glasses in the target Internet of Things (IoT) that are being worn, or when the user wearing the smart glasses is not the target user, the invention further obtains smart devices with output functions that are in operation in the target IoT and identifies these smart devices as the second smart devices.

[0138] It is evident that implementation is as follows Figure 2 The described intelligent health monitoring method can acquire users' health status data in real time and more accurately identify the intelligent devices that output health status feedback information. This helps improve the efficiency and convenience for users to obtain health status feedback information, thereby facilitating users to monitor their own health status.

[0139] In this embodiment of the invention, optionally, step S206, determining whether the user wearing the smart glasses is the target user, can be achieved through the following steps:

[0140] Obtain at least one first physiological characteristic information of the target user to obtain a first physiological characteristic information set;

[0141] Based on the collection of the wearer's secondary physiological characteristics information using smart glasses;

[0142] Determine whether there is a target first physiological feature information in the first physiological feature information set that matches the second physiological feature information;

[0143] If the set of first physiological characteristic information contains target first physiological characteristic information that matches the second physiological characteristic information, then the user wearing the smart glasses is determined to be the target user.

[0144] In an optional embodiment of the present invention, a user database can be constructed while the user is using a smart device in the target Internet of Things (IoT). The user database stores physiological characteristic information collected from one or more users based on any smart device. The physiological characteristic information collected based on the smart device may include the user's height, weight, stride length, iris, fingerprint, and facial features. When determining the identity of a user wearing smart glasses, at least one first physiological characteristic information matching the identity of the target user using the first device can be obtained from the user database, resulting in a first physiological characteristic information set. The smart glasses are then controlled to collect second physiological characteristic information of the currently wearing user. In an optional embodiment, the second physiological characteristic information may be iris features. When a target first physiological characteristic information matching the second physiological characteristic information exists in the first physiological characteristic information set, that is, the identity of the currently wearing smart glasses matches the identity of the target user using the first device, the user wearing the smart glasses is determined to be the target user.

[0145] As can be seen, by implementing this optional embodiment, it is possible to determine the user wearing smart glasses as the target user based on the user's physiological characteristics, and to determine that the target user is simultaneously wearing / wearing a first smart device that collects current health status data and smart glasses, which is beneficial for determining a smart device that can efficiently and conveniently output health status feedback information.

[0146] In this embodiment of the invention, optionally, step S206, determining whether the user wearing the smart glasses is the target user, can be achieved through the following steps:

[0147] The target user's posture is determined based on the first intelligent device, where the posture includes standing, sitting or lying down.

[0148] Obtain the first location information of the first smart device and the second location information of the smart glasses;

[0149] Based on the first location information and the second location information, the actual relative position of the smart glasses with respect to the first smart device is determined;

[0150] Determine whether the actual relative position of the smart glasses with respect to the first smart device matches the target user's posture and the first position information;

[0151] If the actual relative position of the smart glasses with respect to the first smart device matches the target user's posture and first position information, then the user wearing the smart glasses is determined to be the target user.

[0152] In an optional embodiment of the present invention, the posture of the target user can be determined based on the first smart device. For example, when the first smart device is a smart slipper, the pressure applied by the target user to the smart slipper can be obtained through the pressure sensor built into the smart slipper, thereby determining the target user's posture. The current positions of the first smart device and the smart glasses are obtained through positioning technologies such as indoor positioning or GPS positioning, and the actual relative position of the smart glasses with respect to the first smart device is determined. When the actual relative position of the smart glasses with respect to the first smart device matches the target user's posture and the location of the first smart device, it can be determined that the target user is wearing / wearing both the first smart device and the smart glasses, and the user wearing the smart glasses is identified as the target user.

[0153] As can be seen, by implementing this optional embodiment, it is possible to determine that the user wearing smart glasses is the target user based on the user's posture, and to determine that the target user is simultaneously wearing / wearing a first smart device that collects current health status data and smart glasses.

[0154] In this embodiment of the invention, optionally, after step S207, determining the smart glasses as the second smart device, and before step S204, sending the target user's health status feedback information to the second smart device to trigger the second smart device to output the target user's health status feedback information, the method further includes:

[0155] Receive the target image captured by the smart glasses in the current field of view;

[0156] The area to be projected is determined based on the health status feedback information of the target users;

[0157] Determine whether there exists a target projection region in the target image that matches the area of ​​the region to be projected;

[0158] If there is a target projection region in the target image that matches the area of ​​the region to be projected, then proceed to step S204.

[0159] In an optional embodiment of the present invention, before sending the target user's health status feedback information to the smart glasses, it is necessary to determine whether there is a projectable area within the current field of view of the smart glasses. Specifically, the target image of the current field of view collected by the smart glasses is received, and based on image recognition technology, it is determined whether there is a projectable area in the target image. The projectable area needs to match the area of ​​the area to be projected required for the target user's health status feedback information. For example, if the target user's health status feedback information includes both health status feedback information indicating abnormal user health status and health guidance information for the user, and the required area of ​​the area to be projected is large, then the area of ​​the area to be projected corresponding to the target user's health status feedback information can be set according to user preferences. For example, the area to be projected to fully display all health status feedback information, or the area to be projected to only display a portion of the health status feedback information, or the health status feedback information can be scaled to determine the minimum area to be projected. When a target projection area matching the area to be projected exists in the target image, the target user's health status feedback information is sent to the smart glasses to trigger the second smart device to output the target user's health status feedback information.

[0160] As can be seen, by implementing this optional embodiment, the projectable area within the current field of view can be determined based on the area of ​​the region to be projected for the health status feedback information, so as to clearly display the health status feedback information of the target user.

[0161] In this embodiment of the invention, optionally, step S208 involves acquiring smart devices with output functions and in a working state within the target Internet of Things, and identifying these smart devices as the second smart device, including:

[0162] Obtain at least one smart device with output function and in working state in the target Internet of Things to obtain the first candidate smart device set;

[0163] Obtain the current working status of each candidate smart device in the first candidate smart device set;

[0164] For each candidate smart device in the first candidate smart device set, based on the working status of the candidate smart device, determine the degree of influence of the target user's health status feedback information output by the candidate smart device on the current working status of the candidate smart device, and obtain the corresponding output influence degree of the candidate smart device;

[0165] Select at least one target candidate smart device from all candidate smart devices whose output influence is less than or equal to a preset influence threshold;

[0166] The target candidate smart device with the smallest distance value from the first smart device among all target candidate smart devices is determined as the second smart device.

[0167] In an optional embodiment of the present invention, when there are no smart glasses being worn in the target Internet of Things (IoT), or the user wearing the smart glasses is not the target user, the smart devices that can be used as second smart devices are further determined by the output functions and working states of the smart devices in the target IoT. The current working state of the smart devices with output functions and in working state is determined, for example, the user is playing music through a smart speaker, or the user is holding a meeting through a smart projector. For each smart device with output functions and in working state, the degree of influence of outputting the target user's health status feedback information on the current working state of the candidate smart device is determined. Taking the example of the user playing music through a smart speaker or holding a meeting through a smart projector, when the smart speaker needs to output the target user's health status feedback information, if the currently playing music needs to be paused to output the target user's health status feedback information, the degree of influence on the smart speaker's output is high; if the currently playing music does not need to be paused, and the target user's health status feedback information can be output through the smart speaker's display interface, the degree of influence on the smart speaker's output is low. When the output influence is less than or equal to a preset influence threshold, the smart device can be determined as a target candidate smart device.

[0168] Furthermore, when there are more than one target candidate smart device, the second smart device can be determined in the following way:

[0169] Based on signals received by the first smart device from multiple target candidate smart devices, the signal strength of the signal sent by each target candidate smart device is determined. The signal can be a Bluetooth signal, a WiFi signal, or an infrared signal, etc.

[0170] Based on the signal strength, the target candidate smart device with the strongest signal strength is selected from multiple target candidate smart devices. The target candidate smart device with the strongest signal strength is the target candidate smart device with the smallest distance value from the first smart device.

[0171] The target candidate smart device with the smallest distance value from the first smart device among all target candidate smart devices is determined as the second smart device.

[0172] As can be seen, by implementing this optional embodiment, an efficient and convenient second smart device can be determined based on the degree of influence on the output of the smart device and the distance relative to the first smart device, thereby enabling users to conveniently monitor their own health status.

[0173] Example 3

[0174] Please see Figure 3 , Figure 3This is a schematic diagram of the structure of an intelligent user health monitoring device disclosed in an embodiment of the present invention. The intelligent user health monitoring device includes: a data acquisition module 301, an acquisition module 302, a generation module 303, and a transmission module 304. Wherein:

[0175] The data acquisition module 301 is used to collect the current health status data of the target user based on the first smart device, wherein the first smart device includes a smart wearable device, and the target user is the user using the first smart device.

[0176] In this embodiment of the invention, the first smart device is a smart device with the function of collecting user health status data. The first smart device can be a smart wearable device, such as a smartwatch, smart bracelet, or smart slippers, or a smart home medical device, such as a smart blood pressure monitor, smart thermometer, or smart pulse oximeter. The user health status data can include vital signs such as blood pressure, blood oxygen, blood glucose, heart rate, and body temperature, as well as basic status data such as height, weight, and medical history. When the user wears or is wearing the first smart device, the collection module 301 can collect the health status data of the user currently using the first smart device.

[0177] In this embodiment of the invention, optionally, the first smart device is a smart slipper. The data collection module 301 is further configured to:

[0178] Obtain the standard contact area between the smart slippers and the floor;

[0179] Based on the smart slippers, the current contact area between the target user's sole and the smart slippers is collected;

[0180] Determine whether the ratio of the current contact area to the standard contact area is greater than a preset ratio threshold;

[0181] When the ratio of the current contact area to the standard contact area is greater than a preset ratio threshold, an operation is performed based on the current health status data of the target user collected by the first intelligent device.

[0182] In an optional embodiment of the present invention, to avoid significant errors in the collected user health status data due to improper wearing, the target user's wearing status needs to be determined before collecting the target user's current health status data. First, the standard contact area when the smart slippers are fully in contact with the ground is obtained. Then, the current contact area between the target user's foot and the smart slippers is obtained. By calculating the ratio of the current contact area to the standard contact area, the target user's current wearing status of the smart slippers can be determined. When the ratio of the current contact area to the standard contact area is greater than a preset ratio threshold, it indicates that the target user's wearing is correct, and the target user's current health status data can be collected based on the first smart device. The preset ratio threshold can be determined manually or through machine learning.

[0183] It is evident that implementing this optional embodiment can avoid significant errors in the collected user health status data caused by improper wearing of smart devices.

[0184] In this embodiment of the invention, optionally, the first smart device is a smart slipper. The data collection module 301 is further configured to:

[0185] Obtain the target user's identity information collected by smart slippers;

[0186] Determine whether a historical user exists in the historical user database that matches the target user's identity information;

[0187] If there is a historical user whose identity information matches that of the target user, then the user identifier of the historical user will be used as the user identifier of the target user.

[0188] If no historical user matches the target user's identity information, a new user identifier is created and designated as the target user's user identifier.

[0189] As can be seen, implementing this optional embodiment can determine the identity of the user currently using the smart slippers based on the identity information collected by the smart slippers, and can also create new user identifiers for new users.

[0190] The acquisition module 302 is used to acquire the health status data reference value of the target user based on the target historical health status data in the historical health status database, wherein the historical health status database stores the target historical health status data that matches the target user.

[0191] In this embodiment of the invention, due to individual differences, the reference values ​​for the health status of different users may differ under normal conditions. Target historical health status data matching the target user is obtained from a historical health status database. This data is then analyzed to determine numerical patterns, thereby obtaining the corresponding health status reference value for the target user. This reference value represents the normal value or normal range of the target user's health status data under normal conditions. For example, the reference value for user 1's blood pressure is 120 mmHg / 80 mmHg, and for user 2's blood pressure is 110 mmHg / 70 mmHg. Of course, for different types of health status data, analyzing historical health status data to obtain reference values ​​can be achieved through mathematical statistics calculations or machine learning.

[0192] The generation module 303 is used to generate health status feedback information for the target user based on the target user's current health status data and the target user's health status data reference value.

[0193] In this embodiment of the invention, after analyzing the target user's historical health status data to obtain a reference value for the target user's health status data, this reference value can be used to analyze the target user's current health status data, thereby determining the target user's current health status and obtaining health status feedback information. The health status feedback information may include the target user's vital signs data (normal / abnormal), or it may include health guidance information tailored to the target user. For example, when user 1's current blood pressure measurement is 140 mmHg / 100 mmHg, health status feedback information indicating abnormal blood pressure can be provided; alternatively, health guidance information tailored to user 1 can be provided in conjunction with user 1's medical history, such as reminding the user to take antihypertensive medication or to maintain a peaceful mood.

[0194] The sending module 304 is used to send the health status feedback information of the target user to the second smart device to trigger the second smart device to output the health status feedback information of the target user. The second smart device includes at least one of a smart wearable device or a smart home device.

[0195] Among them, the first smart device and the second smart device are different smart devices in the target Internet of Things.

[0196] In this embodiment of the invention, to avoid the inability to obtain timely health status feedback information when the user does not carry a mobile phone, the invention uses a second smart device within the same Internet of Things (IoT) as the output device for outputting the target user's health status feedback information. For example, the first smart terminal transmits the health status feedback information to the second smart device within the smart home IoT via the smart home IoT. The second smart device can be a smart wearable device or a smart home device. Through the second smart device within the smart home IoT, the user's health status can be monitored and reminded in real time, allowing the user to conveniently view their health data while at home, thus encouraging them to pay more attention to their health.

[0197] It is evident that implementation is as follows Figure 3 The intelligent health monitoring device described can acquire users' health status data in real time and output health status feedback information based on smart devices in the same Internet of Things, which helps improve the efficiency and convenience for users to obtain health status feedback information and makes it easier for users to monitor their own health status.

[0198] Please see Figure 4 , Figure 4 This is a schematic diagram of the structure of another intelligent monitoring device for user health disclosed in an embodiment of the present invention. The device further includes: a first judgment module 305, a first determination module 306, a second judgment module 307, and a second determination module 308.

[0199] The first judgment module 305 is used to determine whether there are smart glasses in the target Internet of Things that are being worn.

[0200] In this embodiment of the invention, before sending the target user's health status feedback information to the second smart device, the most suitable smart device can be selected as the second smart device through analysis of the current scenario. When smart glasses are present in the target IoT network and are being worn, they can be considered as a candidate second smart device for outputting the target user's health status feedback information. When no smart glasses are present in the target IoT network and are being worn, they cannot be used as the second smart device for outputting the target user's health status feedback information; in this case, other smart devices in the IoT network need to be selected as the second smart device.

[0201] The first determining module 306 is used to, if the first determining module 305 determines that there are no smart glasses in the target Internet of Things that are being worn, then obtain a smart device with output function and in working state in the target Internet of Things, and determine the smart device with output function and in working state as the second smart device.

[0202] In this embodiment of the invention, when there are no smart glasses in the target Internet of Things (IoT) that are being worn, the system further obtains smart devices with output functions that are in operation within the target IoT and identifies these smart devices as the second smart device.

[0203] The second judgment module 307 is used to determine whether the user wearing the smart glasses is the target user if the first judgment module 305 determines that there are smart glasses in the target Internet of Things that are being worn.

[0204] The second determining module 308 is used to determine the smart glasses as the second smart device if the second determining module 307 determines that the user wearing the smart glasses is the target user.

[0205] In this embodiment of the invention, when there are smart glasses being worn in the target Internet of Things (IoT), and the user wearing the smart glasses is the target user (i.e., the target user is simultaneously wearing / wearing a first smart device for collecting current health status data (such as smart slippers) and the smart glasses), the smart glasses can be used as a second smart device to output health status feedback information to the target user. When the user wearing the smart glasses is not the target user, the smart glasses cannot be used as a second smart device to output health status feedback information to the target user, and it is necessary to further acquire other smart devices in the IoT as the second smart device.

[0206] The first determining module 306 is further configured to, if the second determining module 307 determines that the user wearing the smart glasses is not the target user, acquire a smart device with output function and in working state in the target Internet of Things, and determine the smart device with output function and in working state as the second smart device.

[0207] In this embodiment of the invention, when there are no smart glasses in the target Internet of Things (IoT) that are being worn, or when the user wearing the smart glasses is not the target user, the invention further obtains smart devices with output functions that are in operation in the target IoT and identifies these smart devices as the second smart devices.

[0208] It is evident that implementation is as follows Figure 4 The intelligent health monitoring device described can acquire users' health status data in real time and more accurately determine the intelligent device that outputs health status feedback information. This helps improve the efficiency and convenience for users to obtain health status feedback information, thereby facilitating users to monitor their own health status.

[0209] In this embodiment of the invention, optionally, the second determining module 307 determines whether the user wearing the smart glasses is the target user in the following ways:

[0210] Obtain at least one first physiological characteristic information of the target user to obtain a first physiological characteristic information set;

[0211] Based on the collection of the wearer's secondary physiological characteristics information using smart glasses;

[0212] Determine whether there is a target first physiological feature information in the first physiological feature information set that matches the second physiological feature information;

[0213] If the set of first physiological characteristic information contains target first physiological characteristic information that matches the second physiological characteristic information, then the user wearing the smart glasses is determined to be the target user.

[0214] In an optional embodiment of the present invention, a user database can be constructed while the user is using a smart device in the target Internet of Things (IoT). The user database stores physiological characteristic information collected from one or more users based on any smart device. The physiological characteristic information collected based on the smart device may include the user's height, weight, stride length, iris, fingerprint, and facial features. When determining the identity of a user wearing smart glasses, at least one first physiological characteristic information matching the identity of the target user using the first device can be obtained from the user database, resulting in a first physiological characteristic information set. The smart glasses are then controlled to collect second physiological characteristic information of the currently wearing user. In an optional embodiment, the second physiological characteristic information may be iris features. When a target first physiological characteristic information matching the second physiological characteristic information exists in the first physiological characteristic information set, that is, the identity of the currently wearing smart glasses matches the identity of the target user using the first device, the user wearing the smart glasses is determined to be the target user.

[0215] As can be seen, by implementing this optional embodiment, it is possible to determine the user wearing smart glasses as the target user based on the user's physiological characteristics, and to determine that the target user is simultaneously wearing / wearing a first smart device that collects current health status data and smart glasses, which is beneficial for determining a smart device that can efficiently and conveniently output health status feedback information.

[0216] In this embodiment of the invention, optionally, the second determining module 307 determines whether the user wearing the smart glasses is the target user in the following ways:

[0217] The target user's posture is determined based on the first intelligent device, where the posture includes standing, sitting or lying down.

[0218] Obtain the first location information of the first smart device and the second location information of the smart glasses;

[0219] Based on the first location information and the second location information, the actual relative position of the smart glasses with respect to the first smart device is determined;

[0220] Determine whether the actual relative position of the smart glasses with respect to the first smart device matches the target user's posture and the first position information;

[0221] If the actual relative position of the smart glasses with respect to the first smart device matches the target user's posture and first position information, then the user wearing the smart glasses is determined to be the target user.

[0222] In an optional embodiment of the present invention, the posture of the target user can be determined based on the first smart device. For example, when the first smart device is a smart slipper, the pressure applied by the target user to the smart slipper can be obtained through the pressure sensor built into the smart slipper, thereby determining the target user's posture. The current positions of the first smart device and the smart glasses are obtained through positioning technologies such as indoor positioning or GPS positioning, and the actual relative position of the smart glasses with respect to the first smart device is determined. When the actual relative position of the smart glasses with respect to the first smart device matches the target user's posture and the location of the first smart device, it can be determined that the target user is wearing / wearing both the first smart device and the smart glasses, and the user wearing the smart glasses is identified as the target user.

[0223] As can be seen, by implementing this optional embodiment, it is possible to determine that the user wearing smart glasses is the target user based on the user's posture, and to determine that the target user is simultaneously wearing / wearing a first smart device that collects current health status data and smart glasses.

[0224] In this embodiment of the invention, the device may optionally include a third determination module 309.

[0225] The third judgment module 309 is used for: after the second determination module determines the smart glasses as the second smart device, receiving the target image of the current field of view collected by the smart glasses; determining the area to be projected based on the health status feedback information of the target user; and determining whether there is a target projection area in the target image that matches the area to be projected.

[0226] The sending module 304 is further configured to, if the third judgment module 309 determines that there is a target projection area in the target image that matches the area to be projected, then send the health status feedback information of the target user to the second smart device to trigger the second smart device to output the health status feedback information of the target user.

[0227] In an optional embodiment of the present invention, before sending the target user's health status feedback information to the smart glasses, it is necessary to determine whether there is a projectable area within the current field of view of the smart glasses. Specifically, the target image of the current field of view collected by the smart glasses is received, and based on image recognition technology, it is determined whether there is a projectable area in the target image. The projectable area needs to match the area of ​​the area to be projected required for the target user's health status feedback information. For example, if the target user's health status feedback information includes both health status feedback information indicating abnormal user health status and health guidance information for the user, and the required area of ​​the area to be projected is large, then the area of ​​the area to be projected corresponding to the target user's health status feedback information can be set according to user preferences. For example, the area to be projected to fully display all health status feedback information, or the area to be projected to only display a portion of the health status feedback information, or the health status feedback information can be scaled to determine the minimum area to be projected. When a target projection area matching the area to be projected exists in the target image, the target user's health status feedback information is sent to the smart glasses to trigger the second smart device to output the target user's health status feedback information.

[0228] As can be seen, by implementing this optional embodiment, the projectable area within the current field of view can be determined based on the area of ​​the region to be projected for the health status feedback information, so as to clearly display the health status feedback information of the target user.

[0229] In this embodiment of the invention, optionally, the first determining module 306 acquires smart devices with output functions and in a working state in the target Internet of Things, and determines the smart devices with output functions and in a working state as the second smart devices in the following ways:

[0230] Obtain at least one smart device with output function and in working state in the target Internet of Things to obtain the first candidate smart device set;

[0231] Obtain the current working status of each candidate smart device in the first candidate smart device set;

[0232] For each candidate smart device in the first candidate smart device set, based on the working status of the candidate smart device, determine the degree of influence of the target user's health status feedback information output by the candidate smart device on the current working status of the candidate smart device, and obtain the corresponding output influence degree of the candidate smart device;

[0233] Select at least one target candidate smart device from all candidate smart devices whose output influence is less than or equal to a preset influence threshold;

[0234] The target candidate smart device with the smallest distance value from the first smart device among all target candidate smart devices is determined as the second smart device.

[0235] In an optional embodiment of the present invention, when there are no smart glasses being worn in the target Internet of Things (IoT), or the user wearing the smart glasses is not the target user, the smart devices that can be used as second smart devices are further determined by the output functions and working states of the smart devices in the target IoT. The current working state of the smart devices with output functions and in working state is determined, for example, the user is playing music through a smart speaker, or the user is holding a meeting through a smart projector. For each smart device with output functions and in working state, the degree of influence of outputting the target user's health status feedback information on the current working state of the candidate smart device is determined. Taking the example of the user playing music through a smart speaker or holding a meeting through a smart projector, when the smart speaker needs to output the target user's health status feedback information, if the currently playing music needs to be paused to output the target user's health status feedback information, the degree of influence on the smart speaker's output is high; if the currently playing music does not need to be paused, and the target user's health status feedback information can be output through the smart speaker's display interface, the degree of influence on the smart speaker's output is low. When the output influence is less than or equal to a preset influence threshold, the smart device can be determined as a target candidate smart device.

[0236] Furthermore, when there are more than one target candidate smart device, the second smart device can be determined in the following way:

[0237] Based on signals received by the first smart device from multiple target candidate smart devices, the signal strength of the signal sent by each target candidate smart device is determined. The signal can be a Bluetooth signal, a WiFi signal, or an infrared signal, etc.

[0238] Based on the signal strength, the target candidate smart device with the strongest signal strength is selected from multiple target candidate smart devices. The target candidate smart device with the strongest signal strength is the target candidate smart device with the smallest distance value from the first smart device.

[0239] The target candidate smart device with the smallest distance value from the first smart device among all target candidate smart devices is determined as the second smart device.

[0240] As can be seen, by implementing this optional embodiment, an efficient and convenient second smart device can be determined based on the degree of influence on the output of the smart device and the distance relative to the first smart device, thereby enabling users to conveniently monitor their own health status.

[0241] Example 4

[0242] Please see Figure 5 , Figure 5 This is a schematic diagram of the structure of another intelligent user health monitoring device disclosed in an embodiment of the present invention. Figure 5 As shown, the intelligent monitoring device for user health may include:

[0243] Memory 501 that stores executable program code.

[0244] Processor 502 coupled to memory 501.

[0245] The processor 502 calls the executable program code stored in the memory 501 to execute the steps in the intelligent monitoring method for user health described in Embodiment 1 or Embodiment 2 of the present invention.

[0246] Example 5

[0247] This invention discloses a computer-storable medium storing computer instructions. When these computer instructions are invoked, they are used to execute the steps in the intelligent monitoring method for user health described in Embodiment 1 or Embodiment 2 of this invention.

[0248] Example 6

[0249] This invention discloses a computer program product, which includes a non-transitory computer-readable storage medium storing a computer program, and the computer program is operable to cause a computer to perform the steps in the intelligent monitoring method for user health described in Embodiment 1 or Embodiment 2.

[0250] The device embodiments described above are merely illustrative. The modules described as separate components may or may not be physically separate. The components shown as modules may or may not be physical modules; that is, they may be located in one place or distributed across multiple network modules. Some or all of the modules can be selected to achieve the purpose of this embodiment according to actual needs. Those skilled in the art can understand and implement this without any creative effort.

[0251] Through the detailed description of the above embodiments, those skilled in the art can clearly understand that each implementation method can be implemented by means of software plus necessary general-purpose hardware platforms, and of course, it can also be implemented by hardware. Based on this understanding, the above technical solutions, in essence or the part that contributes to the prior art, can be embodied in the form of a software product. This computer software product can be stored in a computer-readable storage medium, including read-only memory (ROM), random access memory (RAM), programmable read-only memory (PROM), erasable programmable read-only memory (EPROM), one-time programmable read-only memory (OTPROM), electrically-Erasable Programmable Read-Only Memory (EEPROM), compact disc read-only memory (CD-ROM) or other optical disc storage, disk storage, magnetic tape storage, or any other computer-readable medium that can be used to carry or store data.

[0252] Finally, it should be noted that the intelligent monitoring method and device for user health disclosed in the embodiments of the present invention are merely preferred embodiments of the present invention and are only used to illustrate the technical solutions of the present invention, not to limit it. Although the present invention has been described in detail with reference to the foregoing embodiments, those skilled in the art should understand that modifications can still be made to the technical solutions described in the foregoing embodiments, or equivalent substitutions can be made to some of the technical features. Such modifications or substitutions do not cause the essence of the corresponding technical solutions to deviate from the spirit and scope of the technical solutions of the embodiments of the present invention.

Claims

1. An intelligent monitoring method for user health, characterized in that, The method includes: The target user's current health status data is collected based on a first smart device, wherein the first smart device includes a smart wearable device, and the target user is a user using the first smart device; Based on the target historical health status data in the historical health status database, obtain the health status data reference value of the target user, wherein the historical health status database stores target historical health status data that matches the target user; Based on the target user's current health status data and the target user's health status data reference value, generate the target user's health status feedback information; The target user's health status feedback information is sent to a second smart device to trigger the second smart device to output the target user's health status feedback information. The second smart device includes at least one of a smart wearable device or a smart home device. Wherein, the first smart device and the second smart device are different smart devices in the target Internet of Things; Before sending the health status feedback information of the target user to the second smart device to trigger the second smart device to output the health status feedback information of the target user, the method further includes: Determine whether smart glasses are being worn in the target IoT network; If there are no smart glasses in the target Internet of Things that are being worn, then a smart device with output function and in working state in the target Internet of Things is obtained, and the smart device with output function and in working state is identified as the second smart device. If there are smart glasses being worn in the target Internet of Things, then determine whether the user wearing the smart glasses is the target user; If the user wearing the smart glasses is the target user, then the smart glasses are identified as a second smart device; If the user wearing the smart glasses is not the target user, then a smart device with output function and in working state in the target Internet of Things is obtained, and the smart device with output function and in working state is identified as the second smart device.

2. The intelligent monitoring method for user health according to claim 1, characterized in that, The step of determining whether the user wearing the smart glasses is the target user includes: Obtain at least one first physiological characteristic information of the target user to obtain a first physiological characteristic information set; The smart glasses collect the second physiological characteristic information of the wearer. Determine whether there is a target first physiological feature information in the first physiological feature information set that matches the second physiological feature information; If the first set of physiological feature information contains target first physiological feature information that matches the second set of physiological feature information, then the user wearing the smart glasses is determined to be the target user.

3. The intelligent monitoring method for user health according to claim 1, characterized in that, The step of determining whether the user wearing the smart glasses is the target user includes: The posture of the target user is determined based on the first smart device, wherein the posture includes standing, sitting or lying down. Obtain the first location information of the first smart device and the second location information of the smart glasses; Based on the first location information and the second location information, the actual relative position of the smart glasses with respect to the first smart device is determined; Determine whether the actual relative position of the smart glasses with respect to the first smart device matches the target user's posture and the first position information; If the actual relative position of the smart glasses with respect to the first smart device matches the posture of the target user and the first position information, then the user wearing the smart glasses is determined to be the target user.

4. The intelligent monitoring method for user health according to any one of claims 1-3, characterized in that, After identifying the smart glasses as a second smart device, and before sending the health status feedback information of the target user to the second smart device to trigger the second smart device to output the health status feedback information of the target user, the method further includes: Receive the target image captured by the smart glasses in the current field of view; The area to be projected is determined based on the health status feedback information of the target user. Determine whether there exists a target projection region in the target image that matches the area of ​​the region to be projected; If there is a target projection area in the target image that matches the area of ​​the area to be projected, then the step of sending the health status feedback information of the target user to the second smart device is executed to trigger the second smart device to output the health status feedback information of the target user.

5. The intelligent monitoring method for user health according to claim 1, characterized in that, The step of acquiring smart devices with output functions and in a working state in the target Internet of Things, and identifying the smart devices with output functions and in a working state as the second smart device, includes: Obtain at least one smart device with output function and in working state in the target Internet of Things to obtain a first candidate smart device set; Obtain the current working status of each candidate smart device in the first candidate smart device set; For each candidate smart device in the first candidate smart device set, based on the working status of the candidate smart device, determine the degree of influence of the target user's health status feedback information output by the candidate smart device on the current working status of the candidate smart device, and obtain the output influence degree corresponding to the candidate smart device; Select at least one target candidate smart device from all the candidate smart devices whose output influence is less than or equal to a preset influence threshold; The target candidate smart device with the smallest distance value from the first smart device among all the target candidate smart devices is determined as the second smart device.

6. The intelligent monitoring method for user health according to claim 1, characterized in that, The first smart device is a smart slipper; Before collecting the target user's current health status data based on the first smart device, the method further includes: Obtain the standard contact area between the smart slippers and the ground; The smart slippers collect data on the current contact area between the target user's foot and the smart slippers. Determine whether the ratio of the current contact area to the standard contact area is greater than a preset ratio threshold; When the ratio of the current contact area to the standard contact area is greater than a preset ratio threshold, the step of collecting the target user's current health status data based on the first intelligent device is executed.

7. An intelligent monitoring device for user health, characterized in that, The device is used to perform the intelligent monitoring method for user health as described in any one of claims 1-6, and the device comprises: The data collection module is used to collect the current health status data of the target user based on the first smart device, wherein the first smart device includes a smart wearable device, and the target user is a user using the first smart device; The acquisition module is used to acquire a health status data reference value of the target user based on the target historical health status data in the historical health status database, wherein the historical health status database stores target historical health status data that matches the target user. The generation module is used to generate health status feedback information for the target user based on the target user's current health status data and the target user's health status data reference value; A sending module is used to send the health status feedback information of the target user to a second smart device to trigger the second smart device to output the health status feedback information of the target user, wherein the second smart device includes at least one of a smart wearable device or a smart home device; The first smart device and the second smart device are different smart devices in the target Internet of Things.

8. An intelligent monitoring device for user health, characterized in that, The device includes: Memory containing executable program code; A processor coupled to the memory; The processor calls the executable program code stored in the memory to execute the intelligent monitoring method for user health as described in any one of claims 1-6.

9. A computer-readable storage medium, characterized in that, The computer-readable storage medium stores computer program instructions, which, when invoked, are used to execute the intelligent monitoring method for user health as described in any one of claims 1-6.

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