Intelligent shoe-based early warning method and device

Abstract

The application discloses a kind of early warning method and device based on intelligent shoes, the method includes: based on the data acquisition module of the data acquisition module being set on intelligent shoes, the target parameter corresponding to the target user being worn intelligent shoes is collected, target parameter includes at least one of the health parameter of target user, the parameter of the data acquisition module collected to intelligent shoes relative ground and the contact surface parameter of the foot of target user and intelligent shoes;Analysis target parameter obtains analysis result, and judge whether the analysis result is used to indicate that the current state of target user is abnormal state, when the judgment result is yes, output early warning information to relevant personnel, early warning information is used to prompt that the current state of target user is abnormal state. Visible, the present application can facilitate relevant personnel to know that user is in abnormal state in time, it is beneficial to relevant personnel to collect corresponding measure in time, to reduce user to occur non-safety situation, and it is beneficial to improve the safety factor of user wearing intelligent shoes.

Description

TECHNICAL FIELD

[0001] The present application relates to the technical field of intelligent devices, and in particular to a warning method and device based on intelligent shoes. BACKGROUND

[0002] With the rapid development of the Internet of Things and the improvement of people's living standards, intelligent wearable devices have emerged as the times require. People can achieve a variety of related functions by wearing intelligent wearable devices, such as the emergence of intelligent shoes, which provides appropriate temperature for the feet in daily shoe-wearing situations, especially in winter, thereby improving the quality of life of users. However, in actual applications, the existing intelligent shoes can only provide comfortable temperature for the feet of users, and the functions are relatively single. Therefore, it is particularly important to propose a technical solution for enriching the intelligent functions of intelligent shoes. SUMMARY

[0003] The technical problem to be solved by the present application is to provide a warning method and device based on intelligent shoes, which can enrich the intelligent functions of intelligent shoes.

[0004] To solve the above technical problems, the present application discloses a warning method based on intelligent shoes, which comprises:

[0005] A data acquisition module is arranged on the intelligent shoes to collect target parameters corresponding to a target user who is wearing the intelligent shoes, wherein the target parameters include one or more of health parameters of the target user collected by the data acquisition module, parameters of the intelligent shoes relative to the ground, and contact surface parameters of the feet of the target user and the intelligent shoes;

[0006] The target parameters are analyzed to obtain an analysis result of the target parameters, and it is determined whether the analysis result is used to represent that the current state of the target user is a predetermined abnormal state;

[0007] When the determination result is yes, warning information is output to a predetermined related person, and the warning information is used to prompt that the current state of the target user is the abnormal state.

[0008] As an optional implementation manner, in the first aspect of the present application, the determination of whether the analysis result is used to represent that the current state of the target user is a predetermined abnormal state comprises:

[0009] When the target parameters include first parameters, the first parameters include health parameters of the target user collected by the data acquisition module and / or contact surface parameters of the feet of the target user and the intelligent shoes, and according to the first parameters, a user identity corresponding to the target user is determined;

[0010] when the user identity is used to represent that the target user is not matched with a predetermined user of the smart shoes, determining that the analysis result is used to represent that the current state of the target user is a predetermined abnormal state;

[0011] when the target parameter includes a second parameter, the second parameter including at least one of a health parameter of the target user, a parameter of the smart shoes relative to the ground and a contact surface parameter of the foot of the target user and the smart shoes collected by the data collection module, judging whether the target user has an abnormal sign according to the second parameter, the abnormal sign including at least one of a falling sign, a bending to hold an article sign, a covering body sign and a pain face sign;

[0012] when it is judged that the target user has the abnormal sign, determining that the analysis result is used to represent that the current state of the target user is the predetermined abnormal state.

[0013] As an optional implementation, in the first aspect of the present application, the method further comprises:

[0014] when the target parameter includes the health parameter of the target user collected by the data collection module, estimating a first injury probability of the target user to be injured according to the health parameter of the target user;

[0015] when the target parameter includes a third parameter, the third parameter including the parameter of the smart shoes relative to the ground and the contact surface parameter of the foot of the target user and the smart shoes collected by the data collection module, estimating a second injury probability of the target user to be injured according to the third parameter;

[0016] determining an injury probability difference between the first injury probability and the second injury probability, and judging whether the injury probability difference is less than or equal to a predetermined injury probability threshold, when the judgment result is yes, performing the operation of outputting the early warning information to the predetermined related person;

[0017] and the method further comprises:

[0018] determining injury information of the target user according to the target parameter; the injury information including an injury part of the target user and / or an injury level of the target user;

[0019] According to the injury information, rescue information corresponding to the target user is determined, the rescue information including rescue urgency of the target user and / or a corresponding countermeasure of the injury information, and the operation of outputting the pre-warning information to the predetermined related person is performed, the pre-warning information including at least one of the rescue information, the injury information, and position information corresponding to the target user.

[0020] As an optional implementation, in the first aspect of the present application, the operation of determining the injury information of the target user according to the target parameter includes:

[0021] When the target parameter includes a health parameter of the target user, first injury information is determined according to the health parameter of the target user, the first injury information including a psychological fluctuation degree corresponding to the target user and a body index change amplitude corresponding to the target user;

[0022] When the target parameter includes a parameter of the smart shoe relative to the ground, second injury information is determined according to the parameter of the smart shoe relative to the ground, the second injury information including wear information of the smart shoe and an inclination angle of the smart shoe; the wear information including a vamp wear degree of the smart shoe and / or a wear position of the smart shoe;

[0023] When the target parameter includes a contact surface parameter of the foot of the target user and the smart shoe, third injury information is determined according to the contact surface parameter of the foot of the target user and the smart shoe, the third injury information including a contact area proportion between the contact surface of the foot of the target user and the smart shoe and a compression degree between the contact surface of the foot of the target user and the smart shoe;

[0024] At least one of the first injury information, the second injury information, and the third injury information is analyzed to obtain the injury information of the target user.

[0025] As an optional implementation, in the first aspect of the present application, the smart shoe includes a first smart shoe worn on a left foot of the target user and a second smart shoe worn on a right foot of the target user, and the target parameter corresponding to the target user being worn on the smart shoe is collected by a data collection module arranged on the smart shoe, including a first target parameter corresponding to the target user collected by a collection module arranged on the first smart shoe and a second target parameter corresponding to the target user collected by a collection module arranged on the second smart shoe.

[0026] In addition, before the operation of analyzing the target parameter to obtain an analysis result of the target parameter, the method further includes:

[0027] The matching degree between the first target parameter and the second target parameter is calculated, and it is determined whether the matching degree is greater than or equal to a predetermined matching degree threshold value; when the determination result is yes, the operation of analyzing the target parameter to obtain an analysis result of the target parameter is performed.

[0028] As an optional implementation form, in the first aspect of the present application, the method further comprises:

[0029] It is determined whether the toe directions of the first smart shoe and the second smart shoe are towards the same side; when the determination result is no, the contact area ratio between the foot of the target user and the contact surface of the smart shoe is determined according to the contact surface parameter of the target user included in the target parameter;

[0030] It is determined whether the contact area ratio is greater than or equal to a predetermined contact area ratio threshold value; when the determination result is yes, the operation of calculating the matching degree between the first target parameter and the second target parameter is performed.

[0031] As an optional implementation form, in the first aspect of the present application, the method further comprises:

[0032] When it is determined that the analysis result is used to represent that the current state of the target user is a predetermined abnormal state, it is detected whether the target user is still wearing the smart shoe according to the contact surface parameter of the foot of the target user included in the target parameter;

[0033] When it is detected that the target user is not wearing the smart shoe, the movement information of the smart shoe is determined, and the movement information of the smart shoe is analyzed to obtain the injury information corresponding to the target user; the movement information of the smart shoe includes at least one of the movement trajectory of the smart shoe, the movement speed of the smart shoe and the movement direction of the smart shoe;

[0034] When it is detected that the target user is still wearing the smart shoe, the operation of determining the injury information of the target user according to the target parameter is performed.

[0035] The second aspect of the present application discloses a warning device based on a smart shoe, which comprises:

[0036] The acquisition module is used for acquiring the target parameter corresponding to the target user wearing the smart shoe based on the data acquisition module arranged on the smart shoe, and the target parameter includes one or more of the health parameter of the target user, the parameter of the smart shoe relative to the ground and the contact surface parameter of the foot of the target user and the smart shoe.

[0037] an analysis module, configured to analyze the target parameter to obtain an analysis result of the target parameter;

[0038] a judgment module, configured to judge whether the analysis result is used to represent that the current state of the target user is a predetermined abnormal state;

[0039] a prompt output module, configured to output early warning information to a predetermined related person when the judgment module judges that the analysis result is used to represent that the current state of the target user is the predetermined abnormal state, the early warning information being used to prompt that the current state of the target user is the abnormal state.

[0040] As an optional implementation, in the second aspect of the present application, the specific manner in which the judgment module judges whether the analysis result is used to represent that the current state of the target user is a predetermined abnormal state comprises:

[0041] when the target parameter comprises a first parameter, the first parameter comprising a health parameter of the target user and / or a contact surface parameter of the foot of the target user and the smart shoe collected by the data collection module, determining a user identity corresponding to the target user according to the first parameter;

[0042] when the user identity is used to represent that the target user does not match a predetermined user of the smart shoe, determining that the analysis result is used to represent that the current state of the target user is the predetermined abnormal state;

[0043] when the target parameter comprises a second parameter, the second parameter comprising at least one of a health parameter of the target user, a parameter of the smart shoe relative to the ground and a contact surface parameter of the foot of the target user and the smart shoe collected by the data collection module, judging whether the target user has an abnormal sign according to the second parameter, the abnormal sign comprising at least one of a falling sign, a sign of bending to hold an article, a sign of covering the body and a sign of showing pain on the face;

[0044] when it is judged that the target user has the abnormal sign, determining that the analysis result is used to represent that the current state of the target user is the predetermined abnormal state.

[0045] As an optional implementation, in the second aspect of the present application, the device further comprises:

[0046] an estimation module configured to estimate a first injury probability of the target user getting injured according to the health parameter of the target user when the target parameter comprises the health parameter of the target user collected by the data collection module, and estimate a second injury probability of the target user getting injured according to a third parameter when the target parameter comprises the third parameter, the third parameter comprising the parameter of the smart shoe relative to the ground and the contact surface parameter of the foot of the target user and the smart shoe;

[0047] a determination module configured to determine an injury probability difference between the first injury probability and the second injury probability;

[0048] The determination module is further configured to determine injury information of the target user according to the target parameter, determine rescue information corresponding to the target user according to the injury information, and trigger the prompt output module to perform the operation of outputting the early warning information to the relevant person determined in advance.

[0049] The determination module is further configured to determine injury information of the target user according to the target parameter, determine rescue information corresponding to the target user according to the injury information, and trigger the prompt output module to perform the operation of outputting the early warning information to the relevant person determined in advance.

[0050] As an optional implementation, in the second aspect of the present application, the specific manner in which the determination module determines the injury information of the target user according to the target parameter comprises:

[0051] When the target parameter comprises the health parameter of the target user, the first injury information is determined according to the health parameter of the target user, the first injury information comprising a psychological fluctuation degree corresponding to the target user and a body index change amplitude corresponding to the target user;

[0052] When the target parameter comprises the parameter of the smart shoe relative to the ground, the second injury information is determined according to the parameter of the smart shoe relative to the ground, the second injury information comprising wear information of the smart shoe and an inclination angle of the smart shoe; the wear information comprising a wear degree of the upper of the smart shoe and / or a wear position of the smart shoe;

[0053] When the target parameter comprises a contact surface parameter between a foot of the target user and the smart shoe, third injury information is determined according to the contact surface parameter between the foot of the target user and the smart shoe, the third injury information comprising a contact area proportion between the foot of the target user and the contact surface of the smart shoe and a compression degree between the foot of the target user and the contact surface of the smart shoe.

[0054] At least one of the first injury information, the second injury information and the third injury information is analyzed to obtain injury information of the target user.

[0055] As an optional implementation, in the second aspect of the present application, the smart shoe comprises a first smart shoe worn on a left foot of the target user and a second smart shoe worn on a right foot of the target user, and the target parameter corresponding to the target user collected by the data collection module arranged on the smart shoe comprises a first target parameter corresponding to the target user collected by the collection module arranged on the first smart shoe and a second target parameter corresponding to the target user collected by the collection module arranged on the second smart shoe.

[0056] The device further comprises:

[0057] The computing module is configured to calculate a matching degree between the first target parameter and the second target parameter before the analysis module analyzes the target parameter to obtain an analysis result of the target parameter.

[0058] The judging module is further configured to judge whether the matching degree is greater than or equal to a predetermined matching degree threshold, and trigger the analysis module to perform the operation of analyzing the target parameter to obtain an analysis result of the target parameter when the judgment result is yes.

[0059] As an optional implementation, in the second aspect of the present application, the judging module is further configured to judge whether a toe direction of the first smart shoe and a toe direction of the second smart shoe are towards the same side.

[0060] The determining module is further configured to determine a contact area proportion between a foot of the target user and a contact surface of the smart shoe according to the contact surface parameter between the target user and the smart shoe comprised in the target parameter when the judging module judges that the first smart shoe and the second smart shoe are not towards the same side.

[0061] The judging module is further configured to judge whether the contact area proportion is greater than or equal to a predetermined contact area proportion threshold, and trigger the computing module to perform the operation of calculating the matching degree between the first target parameter and the second target parameter when the judgment result is yes.

[0062] As an optional implementation, in the second aspect of the present application, the device further comprises:

[0063] a detection module, configured to, when the judgment module judges that the analysis result indicates that the current state of the target user is the predetermined abnormal state, detect whether the target user is still wearing the smart shoe according to the contact surface parameter of the foot of the target user and the smart shoe included in the target parameter, and trigger the determination module to perform the operation of determining the injury information of the target user according to the target parameter when the detection result is yes;

[0064] The determination module is further configured to determine the movement information of the smart shoe when the detection module detects that the target user does not wear the smart shoe; the movement information of the smart shoe includes at least one of the movement trajectory of the smart shoe, the movement speed of the smart shoe and the movement direction of the smart shoe.

[0065] The analysis module is further configured to analyze the movement information of the smart shoe to obtain the injury information corresponding to the target user.

[0066] The third aspect of the present application discloses another early warning device based on a smart shoe, which comprises:

[0067] a memory storing executable program codes;

[0068] a processor coupled with the memory;

[0069] The processor invokes the executable program codes stored in the memory to execute the early warning method based on a smart shoe disclosed in the first aspect of the present application.

[0070] The fourth aspect of the present application discloses a smart shoe for executing the early warning method based on a smart shoe disclosed in the first aspect of the present application.

[0071] The fifth aspect of the present application discloses a computer storage medium storing computer instructions, which are invoked to execute the early warning method based on a smart shoe disclosed in the first aspect of the present application.

[0072] Compared with the prior art, the embodiments of the present application have the following beneficial effects:

[0073] In the embodiment of the present application, the data acquisition module arranged on the smart shoes is used to acquire a target parameter corresponding to a target user wearing the smart shoes, the target parameter including one or more of a health parameter of the target user, a parameter of the smart shoes relative to the ground and a parameter of a contact surface of the foot of the target user and the smart shoes; the target parameter is analyzed to obtain an analysis result of the target parameter, and it is determined whether the analysis result is used to indicate that a current state of the target user is a predetermined abnormal state; when the determination result is yes, an early warning information is output to a predetermined relevant person, and the early warning information is used to prompt that the current state of the target user is an abnormal state. It can be seen that, by implementing the present application, the current state of the user can be intelligently determined according to the various parameters acquired by the smart shoes, the determination accuracy and reliability of the current state of the user can be improved, and when it is determined that the current state of the user is an abnormal state, the early warning information is automatically output to the relevant person, which can facilitate the relevant person to know that the user is in an abnormal state in time, and is beneficial to the relevant person to take corresponding measures in time, thereby being beneficial to reducing the non-safe situation of the user, such as: when a child wears adult shoes secretly, the early warning information is sent to the adult to supervise the child, and when it is detected that an old person falls down and is injured, the early warning information is output to the relevant person to rescue the old person in time, thereby being beneficial to improving the safety factor of the user wearing the smart shoes and improving the use viscosity of the smart shoes. BRIEF DESCRIPTION OF DRAWINGS

[0074] In order to more clearly illustrate the technical solutions in the embodiments of the present application, the drawings needed in the embodiment description will be briefly introduced. Obviously, the drawings in the following description are only some embodiments of the present application, and other drawings can be obtained by those skilled in the art without creative effort.

[0075] Figure 1 is a flow diagram of a smart shoe-based early warning method disclosed by an embodiment of the present application;

[0076] Figure 2 is a flow diagram of another smart shoe-based early warning method disclosed by an embodiment of the present application;

[0077] Figure 3 is a structural diagram of a smart shoe-based early warning device disclosed by an embodiment of the present application;

[0078] Figure 4 is a structural diagram of another smart shoe-based early warning device disclosed by an embodiment of the present application;

[0079] Figure 5 is a structural diagram of another smart shoe-based early warning device disclosed by an embodiment of the present application;

[0080] Figure 6 is a structural schematic diagram of an intelligent shoe disclosed by an embodiment of the present application. DETAILED DESCRIPTION

[0081] In order for those skilled in the art to better understand the present application, the technical solutions in the embodiments of the present application will be described clearly and completely below with reference to the drawings in the embodiments of the present application. Obviously, the described embodiments are only some of the embodiments of the present application, but not all the embodiments. Based on the embodiments in the present application, all other embodiments obtained by those skilled in the art without creative labor fall within the scope of protection of the present application.

[0082] The terms "first", "second", and the like in the specification and claims of the present application and the above-mentioned drawings are used to distinguish different objects, and are not used to describe a specific order. In addition, the terms "include" and "have" and any variations thereof are intended to cover non-exclusive inclusion. For example, a process, method, device, product, or end including a series of steps or units is not limited to the listed steps or units, but can optionally include steps or units not listed, or can optionally include other steps or units inherent to the process, method, product, or end.

[0083] Reference herein to "an embodiment" means that a particular feature, structure, or characteristic described in connection with the embodiment can be included in at least one embodiment of the present application. The appearance of the phrase in various places in the specification does not necessarily all refer to the same embodiment, nor is it necessarily mutually exclusive of other embodiments. It is explicitly and implicitly understood by those skilled in the art that the embodiments described herein can be combined with other embodiments.

[0084] The present application discloses a warning method and device based on intelligent shoes, which can intelligently determine the current state of the user according to the various parameters collected by the intelligent shoes, improve the determination accuracy and reliability of the current state of the user, and automatically output warning information to relevant personnel when it is judged that the current state of the user is an abnormal state, so that the relevant personnel can know that the user is in an abnormal state in time, which is beneficial for the relevant personnel to take corresponding measures in time, thereby reducing the occurrence of non-safe situations of the user, such as sending warning information to adults when a child wears adult shoes, to supervise the child, or outputting warning information to relevant personnel when an old person falls and is injured, to rescue the old person in time, thereby improving the safety factor of the user wearing the intelligent shoes, and improving the viscosity of the use of the intelligent shoes. The following will be described in detail.

[0085] Embodiment one

[0086] Please refer to Figure 1 ,Figure 1 is a flowchart of a warning method based on smart shoes disclosed by the embodiments of the present application. Wherein, Figure 1 The method described can be applied to a warning device of smart shoes, which can exist independently or be integrated in smart shoes, and the embodiments of the present application are not limited. As Figure 1 shown, the warning method based on smart shoes includes the following operations:

[0087] 101. Collect target parameters corresponding to a target user wearing smart shoes based on a data collection module arranged on the smart shoes.

[0088] In the embodiments of the present application, optionally, the trigger mode of triggering the data collection module to collect the target parameters can be a timing trigger mode or a manual trigger mode, and the embodiments of the present application are not limited. Optionally, the timing trigger mode can be understood as triggering the data collection module to continuously collect the target parameters when it is detected that someone wears the smart shoes, or it can be understood as that when it is detected that someone wears the smart shoes, the data collection module collects the target parameters according to a pre-set interval time. Optionally, the interval time can be a regular interval time or an irregular interval time.

[0089] In the embodiments of the present application, optionally, the target parameters can include one or more of the health parameters of the target user, the parameters of the smart shoes relative to the ground, and the contact surface parameters of the foot of the target user and the smart shoes collected by the data collection module.

[0090] 102. Analyze the target parameters to obtain an analysis result of the target parameters.

[0091] In the embodiments of the present application, optionally, the analysis result includes that the current state of the target user is an abnormal state or the current state of the target user is not an abnormal state.

[0092] 103. Determine whether the analysis result indicates that the current state of the target user is a pre-determined abnormal state.

[0093] In the embodiments of the present application, optionally, when it is determined that the analysis result does not indicate that the current state of the target user is a pre-determined abnormal state, the operation of collecting the target parameters corresponding to the target user wearing the smart shoes based on the data collection module arranged on the smart shoes is performed.

[0094] 104. When it is determined that the analysis result indicates that the current state of the target user is a pre-determined abnormal state, output warning information to a pre-determined related person.

[0095] Optionally, the relevant personnel can include one or more of medical personnel, police, emergency contacts pre-set by the target user, and the target user himself, and the embodiments of the present application are not limited thereto. Optionally, the early warning information is used to prompt that the current state of the target user is an abnormal state, and the early warning information can include one or more of the current location of the target user, the current state of the target user, and the injury condition of the target user.

[0096] Optionally, when it is judged that the analysis result is used to indicate that the current state of the target user is an abnormal state, the abnormal degree corresponding to the abnormal state of the target user is determined according to the target parameter, and the personnel matched with the abnormal degree are determined as the pre-determined relevant personnel, which can improve the accuracy of the determined relevant personnel and is beneficial to the accuracy and efficiency of the target user being rescued in time.

[0097] It can be seen that the early warning method based on the intelligent shoes described in the embodiments of the present application can intelligently determine the current state of the user according to the various parameters collected by the intelligent shoes, can improve the determination accuracy and reliability of the current state of the user, and when it is judged that the current state of the user is an abnormal state, automatically outputs early warning information to the relevant personnel, which can facilitate the relevant personnel to know that the user is in an abnormal state in time, is beneficial to the relevant personnel to take corresponding measures in time, thereby is beneficial to reducing the user from being in an unsafe situation, such as sending early warning information to adults when a child wears adult shoes, to supervise the child, and such as outputting early warning information to relevant personnel when an old person falls down and is injured, to rescue the old person in time, and further is beneficial to improving the safety factor of the user wearing the intelligent shoes, and is beneficial to improving the viscosity of the use of the intelligent shoes.

[0098] In an optional embodiment, the method further includes the following operations:

[0099] According to the health parameter of the target user included in the target parameter, the information of the target user is determined; the information includes one or more of the physical health condition of the target user, the user type of the target user, and the current activity state information of the target user; wherein the physical health condition of the target user includes the health parameter and / or medical record of the target user, the current activity state information includes the current activity state type and / or the intensity of the current activity, and the user type of the target user includes one of the elderly type, the child type, the middle-aged type, and the youth type;

[0100] According to the information of the target user, the parameter analysis urgency corresponding to the target user is determined;

[0101] The operation of analyzing the target parameter to obtain the analysis result of the target parameter includes:

[0102] According to the parameter analysis urgency, the target parameter is analyzed, and an analysis result of the target parameter is obtained.

[0103] For example, when the user is currently in a sick state, the parameter analysis urgency of the user is high, that is, it is required to analyze the collected parameters immediately when the parameters of the user are collected.

[0104] It can be seen that, by combining the parameter analysis urgency of the user with the analysis of the collected parameters of the user, the reliability and accuracy of the parameter analysis operation can be improved, and the determination efficiency of the current state of the user can be improved.

[0105] In an optional embodiment, in step 103, determining whether the analysis result is used to represent that the current state of the target user is a predetermined abnormal state can include:

[0106] When the target parameter includes a first parameter, the first parameter includes the health parameter of the target user and / or the contact surface parameter of the foot of the target user and the smart shoe collected by the data collection module, the user identity corresponding to the target user is determined according to the first parameter;

[0107] When the user identity is used to represent that the target user does not match the user of the predetermined smart shoe, it is determined that the analysis result is used to represent that the current state of the target user is a predetermined abnormal state;

[0108] When the target parameter includes a second parameter, the second parameter includes at least one of the health parameter of the target user, the parameter of the smart shoe relative to the ground, and the contact surface parameter of the foot of the target user and the smart shoe collected by the data collection module, it is determined whether the target user has an abnormal sign according to the second parameter, the abnormal sign including at least one of a falling sign, a bending to hold an object sign, a covering body sign, and a pain expression sign;

[0109] When it is determined that the target user has an abnormal sign, it is determined that the analysis result is used to represent that the current state of the target user is a predetermined abnormal state.

[0110] In the embodiment of the present application, specifically, when the first parameter comprises a health parameter of the target user collected by the data collection module, the user identity of the target user is determined according to the pre-set health parameter standard and the health parameter of the target user; the health parameter can be a biological characteristic parameter of the target user, the biological characteristic parameter comprising one or more of a blood oxygen parameter, a heart rate parameter, a blood flow velocity parameter, a blood lipid parameter, a blood pressure parameter and a body weight parameter, which are not limited in the embodiment of the present application. Optionally, when the first parameter comprises a contact surface parameter of the foot of the target user and the smart shoe, the contact area ratio between the foot area of the target user and the contact surface of the smart shoe is determined, the size relationship between the contact area ratio and the pre-determined contact area ratio threshold is determined by comparing the contact area ratio with the pre-determined contact area ratio threshold, and the user identity of the target user is determined according to the size relationship.

[0111] Optionally, when the second parameter comprises a health parameter of the target user collected by the data collection module, the health parameter can comprise one or more of a blood vessel parameter, a blood pressure parameter, a heart rate parameter and a blood oxygen saturation parameter of the target user, which are not limited in the embodiment of the present application. Optionally, when the second parameter comprises a parameter of the smart shoe relative to the ground collected by the data collection module, the parameter of the smart shoe relative to the ground can comprise one or more of a friction parameter between the smart shoe and the ground, a wear parameter of the smart shoe, a placement orientation parameter of the smart shoe relative to the ground and a scratch parameter between the smart shoe and the ground, which are not limited in the embodiment of the present application. Optionally, when the second parameter comprises a contact surface parameter of the foot of the target user and the smart shoe, the contact surface parameter of the foot of the target user and the smart shoe can comprise one or more of a contact area parameter between the foot of the target user and the contact surface of the smart shoe, a position parameter between the foot of the target user and the inside of the smart shoe, and a compression degree parameter between the foot of the target user and the contact surface of the smart shoe, which are not limited in the embodiment of the present application.

[0112] In the optional embodiment, when the user identity is used to indicate that the target user does not match the pre-determined user of the smart shoe, and further when it is judged that the target user has abnormal signs, it is determined that the current state of the target user is in an abnormal state.

[0113] It can be seen that the optional embodiment can determine the current state of the user by determining the user identity and / or determining whether the user has abnormal signs, which can enrich the way of determining the current state of the user, thereby facilitating the flexibility of the way of determining the current state of the user and improving the accuracy of the determined current state of the user, and facilitating more timely warning operation on the user in an abnormal state.

[0114] Further, in the optional embodiment, optionally, the first foot information of the target user is determined according to the contact surface parameter of the foot of the target user included in the target parameter and the smart shoe, the first foot information including one or more of the contact area corresponding to the contact surface of the foot of the target user and the smart shoe, the contact frequency corresponding to the contact area, the toe direction of the smart shoe, and the vamp direction of the smart shoe, and it is determined whether the target user is in the leg shaking state according to the first foot information, and when the determination result is yes, it is determined that the analysis result is used to indicate that the current state of the target user is the pre-determined abnormal state. Further optionally, according to the parameter of the smart shoe relative to the ground and the contact surface parameter of the foot of the target user included in the target parameter, it is determined whether the current state of the target user is in a state in which one of the left and right feet is in the air (such as a two-legged cross-over state, a single-legged support state, etc.), and when it is determined that the current state of the target user is in a state in which one of the left and right feet is in the air, the current physical function index of the target user is determined according to the health parameter of the target user included in the target parameter, and if the current physical function index of the target user indicates that the amplitude change of the physical function index of the target user has affected the health condition of the target user, it is determined that the analysis result is used to indicate that the current state of the target user is the pre-determined abnormal state.

[0115] It can be seen that the optional embodiment can also provide a way to determine whether the user is in an abnormal state through the leg state / leg posture of the user, thereby improving the diversity of the way to determine that the user is in an abnormal state and improving the reliability of the determined abnormal state of the user, thereby improving the determination efficiency of the user in the abnormal state.

[0116] In another optional embodiment, the method can further include the following operations:

[0117] When the target parameter includes the health parameter of the target user collected by the data collection module, the first injury probability of the target user is estimated according to the health parameter of the target user;

[0118] When the target parameter includes the third parameter, the third parameter including the parameter of the smart shoe relative to the ground and the contact surface parameter of the foot of the target user collected by the data collection module, the second injury probability of the target user is estimated according to the third parameter;

[0119] The injury probability difference between the first injury probability and the second injury probability is determined, and it is determined whether the injury probability difference is less than or equal to a pre-determined injury probability threshold, and when the determination result is yes, the above-mentioned operation of outputting the warning information to the pre-determined related person is performed.

[0120] Further, in the optional embodiment, the method can further include the following operations:

[0121] According to the target parameter, determine the injury information of the target user; the injury information includes the injured part of the target user and / or the injury level of the target user;

[0122] According to the injury information, determine the rescue information corresponding to the target user, the rescue information includes the rescue emergency degree of the target user and / or the coping measure corresponding to the injury information, and perform the operation of outputting the warning information to the predetermined related person, the warning information includes at least one of the rescue information, the injury information and the position information corresponding to the target user.

[0123] In the optional embodiment, optionally, when it is judged that the injury probability difference is greater than the injury probability threshold, it is determined that the target user maliciously manufactures the false appearance of abnormal signs, and a first prompt is sent to the target user for the maliciously manufactured false appearance of abnormal signs, the first prompt is used to prompt the target user not to continue the behavior of maliciously manufacturing the false appearance of abnormal signs. Optionally, the prompt mode of the first prompt can include one or more of a voice prompt mode, a prompt mode through a mobile client to inform and / or a telephone notification mode, a prompt mode through forming human perception (such as one or more of automatic heating of smart shoes, automatic cooling of smart shoes, smart shoes causing itching / pain of user's feet, etc.), and the like, which are not limited by the embodiments of the present application. Optionally, the voice content of the voice prompt mode can include a ringtone and / or a pre-set language prompt, which are not limited by the embodiments of the present application.

[0124] Optionally, after determining the rescue information corresponding to the target user according to the injury information, the rescue information is output to the target user, and the operation of outputting the warning information to the predetermined related person is performed. Optionally, the coping measure can include one or more of basic self-help measures, professional treatment measures, and ways to relieve emotions and calm the mind, and the like, which are not limited by the embodiments of the present application. Optionally, the way of outputting the rescue information to the target user can include outputting the rescue information through the smart shoes in the voice reminding mode and / or outputting the rescue information to the target user's pre-bound mobile client in the information sending mode and / or the telephone calling mode, which are not limited by the embodiments of the present application.

[0125] It can be seen that the optional embodiment can determine whether the target user is in an injured state and determine the user injury information by analyzing different target parameters, and determine the rescue information according to the injury information, which provides a way to determine whether the user is in an injured state after determining that the user is in an abnormal state, and is beneficial to improve the accuracy of the determined rescue information and the output warning information and reduce unnecessary resource waste, thereby being beneficial to improve the intelligentization of the warning function of the smart shoes.

[0126] In yet another optional embodiment, determining the injury information of the target user according to the target parameter can comprise:

[0127] When the target parameter comprises a health parameter of the target user, determining first injury information according to the health parameter of the target user, the first injury information comprising a degree of psychological fluctuation corresponding to the target user and a change amplitude of a physical index corresponding to the target user;

[0128] When the target parameter comprises a parameter of the smart shoe relative to the ground, determining second injury information according to the parameter of the smart shoe relative to the ground, the second injury information comprising a wear information of the smart shoe and an inclination angle of the smart shoe; the wear information comprising a wear degree of an upper of the smart shoe and / or a wear position of the smart shoe;

[0129] When the target parameter comprises a contact surface parameter of the foot of the target user and the smart shoe, determining third injury information according to the contact surface parameter of the foot of the target user and the smart shoe, the third injury information comprising a contact area ratio between the contact surface of the foot of the target user and the smart shoe and a degree of extrusion between the contact surface of the foot of the target user and the smart shoe;

[0130] Analyzing at least one of the first injury information, the second injury information and the third injury information to obtain the injury information of the target user.

[0131] In this optional embodiment, specifically, according to the first injury information and / or the second injury information and / or the third injury information, the injury degree and / or the emergency degree of rescue and / or the position of physical injury of the target user can be determined. It should be noted that the first injury information can comprise but is not limited to the degree of psychological fluctuation corresponding to the target user and / or the change amplitude of the physical index corresponding to the target user, the second injury information can comprise but is not limited to the wear information of the smart shoe and / or the inclination angle of the smart shoe, the wear information can comprise but is not limited to the wear degree of the upper of the smart shoe and / or the wear position of the smart shoe, and the third injury information can comprise but is not limited to the contact area ratio between the contact surface of the foot of the target user and the smart shoe and / or the degree of extrusion between the contact surface of the foot of the target user and the smart shoe.

[0132] Optionally, the more serious the degree of psychological fluctuation of the target user and / or the change amplitude of the physical index of the target user and / or the more serious the wear degree of the smart shoe and / or the larger the inclination angle of the smart shoe and / or the smaller the contact area ratio between the contact surface of the foot of the target user and the smart shoe and / or the greater the degree of extrusion between the contact surface of the foot of the target user and the smart shoe, the more serious the injury of the target user.

[0133] It can be seen that the optional embodiment can obtain multi-aspect injury information corresponding to different target parameters by analyzing different target parameters, and determine the final injury information of the user according to the multi-aspect injury information, thereby providing a way of determining the injury information of the user through multi-aspect parameters, which is beneficial to improving the rationality of the way of determining the injury information of the user and improving the reliability of the determined injury information of the user, and further beneficial to the subsequent intelligent shoes to realize the early warning function according to the injury information of the user.

[0134] In yet another optional embodiment, the method can further include the following operations:

[0135] determining whether the toe direction of the first intelligent shoe and the toe direction of the second intelligent shoe are directed to the same side, and when the determination result is no, determining the contact area ratio between the foot of the target user and the contact surface of the intelligent shoe according to the contact surface parameter of the target user and the intelligent shoe included in the target parameter;

[0136] determining whether the contact area ratio is greater than or equal to a predetermined contact area ratio threshold, and when the determination result is yes, performing the operation of calculating the matching degree between the first target parameter and the second target parameter.

[0137] In the optional embodiment, the toe direction of the first intelligent shoe and the toe direction of the second intelligent shoe are not directed to the same side, specifically, the left foot of the target user wears the left side intelligent shoe, and the right foot of the target user wears the right side intelligent shoe. Optionally, the first intelligent shoe and the second intelligent shoe can be the same pair of intelligent shoes, or can not be the same pair of intelligent shoes. Optionally, when it is determined that the toe direction of the first intelligent shoe and the toe direction of the second intelligent shoe are directed to the same side, a second prompt is output, which is used to prompt the target user to wear the intelligent shoes in a shoe direction different from the side. Optionally, the prompting manner of the second prompt can include one or more of the following: a voice prompt manner, a prompt manner through a mobile client in the form of information notification and / or telephone notification, a prompt manner through forming human perception (such as one or more of the following: the intelligent shoes automatically heating, the intelligent shoes automatically cooling, the intelligent shoes causing the user's feet to produce an itching / pain sensation, etc.), and the like, which are not limited by the embodiments of the present application. Optionally, the voice content of the voice prompt manner can include a ring tone and / or a pre-set language prompt, which are not limited by the embodiments of the present application.

[0138] Optionally, when it is determined that the contact area ratio is less than the contact area ratio threshold, the current posture of the target user is determined, and if the current posture includes a posture in which the foot of the target user has completely touched the inner surface of the intelligent shoe, it is determined that the current state of the target user is an abnormal state, and corresponding early warning information is output.

[0139] It can be seen that the optional embodiment can intelligently analyze whether the smart shoes worn by the user are the same pair of smart shoes through the toe direction of the left foot smart shoe of the user and the toe direction of the right foot smart shoe of the user, and after judging that the smart shoes worn by the user are the same pair of smart shoes, intelligently judge whether the size of the foot of the user meets the foot size requirement of the corresponding smart shoes through the contact area ratio between the foot of the user and the smart shoes, and when it is judged that the size of the foot of the user meets the foot size requirement of the corresponding smart shoes, perform the subsequent operation of calculating the matching degree, which is beneficial to improve the safety factor of the user wearing the smart shoes, and is beneficial to improve the accuracy and determination efficiency of the current state of the user determined subsequently.

[0140] In yet another optional embodiment, the method can further include the following operations:

[0141] When it is judged that the analysis result is used to represent that the current state of the target user is the pre-determined abnormal state, the contact surface parameter of the foot of the target user included in the target parameter is used to detect whether the target user is still wearing the smart shoes;

[0142] When it is detected that the target user is not wearing the smart shoes, the movement information of the smart shoes is determined, and the movement information of the smart shoes is analyzed to obtain the injury information corresponding to the target user; the movement information of the smart shoes includes at least one of the movement trajectory of the smart shoes, the movement speed of the smart shoes and the movement direction of the smart shoes;

[0143] When it is detected that the target user is still wearing the smart shoes, the operation of determining the injury information of the target user according to the target parameter is performed.

[0144] In the optional embodiment, the detection of whether the target user is still wearing the smart shoes is specifically performed according to the contact area ratio between the contact surface of the foot of the target user and the smart shoes included in the target parameter, when the contact area ratio is 0, it is determined that the target user is not wearing the smart shoes; when the contact area ratio is greater than 0, it is determined that the target user is still wearing the smart shoes.

[0145] It should be noted that the injury information of the target user can be determined according to the health parameter of the target user and the movement information of the smart shoes.

[0146] It can be seen that the optional embodiment can determine the user's injury information in a corresponding manner according to the user's shoe-wearing condition, which is beneficial to enrich the determination method of the user's injury information, and further beneficial to improve the flexibility and determination efficiency of the injury information determination operation and improve the accuracy of the determined injury information.

[0147] Embodiment Two

[0148] Please refer to Figure 2 , Figure 2is a flowchart of another early warning method based on smart shoes disclosed by the embodiment of the present application. Among them, Figure 2 The described method can be applied to the early warning device of the smart shoes, which can exist independently or be integrated in the smart shoes, and the embodiment of the present application is not limited. As shown in Figure 2 The early warning method based on smart shoes includes the following operations:

[0149] 201, the data acquisition module arranged on the smart shoes collects the target parameters corresponding to the target user wearing the smart shoes.

[0150] Optionally, the smart shoes include a first smart shoe worn on the left foot of the target user and a second smart shoe worn on the right foot of the target user, and the data acquisition module arranged on the smart shoes collects the target parameters corresponding to the target user wearing the smart shoes, including the first target parameters corresponding to the target user collected by the acquisition module arranged on the first smart shoe and the second target parameters corresponding to the target user collected by the acquisition module arranged on the second smart shoe.

[0151] 202, calculate the matching degree between the first target parameter and the second target parameter.

[0152] 203, determine whether the matching degree is greater than or equal to the predetermined matching degree threshold.

[0153] In the embodiment of the present application, optionally, when it is determined that the matching degree is less than the matching degree threshold, it is determined that the left smart shoe and the right smart shoe corresponding to the smart shoe are not worn by the same target user, and a third prompt is output, which is used to prompt the different target users wearing the smart shoes to wear matching smart shoes. Optionally, the third prompt can include one or more of the following: a voice prompt mode, a prompt mode through a mobile client to inform and / or a telephone notification mode, a prompt mode through forming a human perception (such as one or more of the following: the smart shoes automatically heating, the smart shoes automatically cooling, the smart shoes making the user's feet feel itchy / painful, etc.), and the like, and the embodiment of the present application is not limited. Optionally, the voice content of the voice prompt mode can include but is not limited to a bell music prompt and / or a pre-set language prompt, and the embodiment of the present application is not limited.

[0154] 204, when it is determined that the matching degree is greater than or equal to the matching degree threshold, analyze the target parameters to obtain an analysis result of the target parameters.

[0155] 205, determine whether the analysis result is used to represent that the current state of the target user is a pre-determined abnormal state.

[0156] 206、When it is judged that the analysis result is used to represent the current state of the target user as a predetermined abnormal state, the warning information is output to the predetermined related person.

[0157] In the embodiment of the application, for other descriptions of steps 201, 204, 205 and 206, please refer to the detailed description of steps 101-104 in Embodiment One, and the embodiment of the application will not be repeated here.

[0158] It can be seen that the early warning method based on intelligent shoes described in the embodiment of the application can determine the current state of the user according to the various parameters collected by the intelligent shoes, and output warning information to the related person when the current state of the user is a predetermined abnormal state, which is beneficial to improve the accuracy of the determined current state of the user, such as when a child wears adult shoes, it is determined that the child is in an abnormal state, and the adult is sent a warning information, reducing the child from non-safety situation, and for example, when it is detected that the current state of the user is falling and being injured, the warning information is output to the predetermined related person, which is beneficial to timely perform corresponding rescue operation on the user, and further beneficial to improve the safety factor of the user wearing the intelligent shoes; in addition, the operation of analyzing the collected parameters of the user can be performed only when it is judged that the parameters of the two shoes worn by the user's feet are matched, which can improve the accuracy and reliability of the parameter analysis operation, thereby improving the reliability and efficiency of the subsequent determination of the current state of the user.

[0159] Embodiment Three

[0160] Please refer to Figure 3 , Figure 3 is a structure diagram of an early warning device based on intelligent shoes disclosed by the embodiment of the application. Wherein, Figure 3 The device described can exist independently, or can be integrated in the intelligent shoes, and the embodiment of the application does not limit it. As Figure 3 shown, the early warning device based on intelligent shoes can include:

[0161] The collection module 301 is used to collect the target parameters corresponding to the target user wearing the intelligent shoes based on the data collection module arranged on the intelligent shoes, and the target parameters include one or more of the health parameters of the target user collected by the data collection module, the parameters of the intelligent shoes relative to the ground, and the contact surface parameters of the feet of the target user and the intelligent shoes.

[0162] The analysis module 302 is used to analyze the target parameters to obtain the analysis result of the target parameters.

[0163] The judgment module 303 is used to judge whether the analysis result is used to represent the current state of the target user as a predetermined abnormal state.

[0164] The prompt output module 304 is configured to output early warning information to the relevant personnel determined in advance when the determination module 303 determines that the analysis result indicates that the current state of the target user is the predetermined abnormal state, and the early warning information is used to prompt that the current state of the target user is the abnormal state.

[0165] It can be seen that the implementation Figure 3 The described early warning device based on the smart shoes can intelligently determine the current state of the user according to the various parameters collected by the smart shoes, can improve the determination accuracy and reliability of the current state of the user, and can automatically output early warning information to the relevant personnel when it is determined that the current state of the user is an abnormal state, so as to facilitate the relevant personnel to know that the user is in an abnormal state in a timely manner, and help the relevant personnel to take corresponding measures in a timely manner, thereby helping to reduce the occurrence of non-safe situations of the user, such as sending early warning information to adults when a child wears adult shoes, to supervise the child, and such as outputting early warning information to the relevant personnel when an old person falls and is injured, to rescue the old person in a timely manner, thereby helping to improve the safety factor of the user wearing the smart shoes, and helping to improve the use viscosity of the smart shoes.

[0166] In this optional embodiment, as an optional implementation, the specific manner in which the determination module 303 determines whether the analysis result indicates that the current state of the target user is the predetermined abnormal state includes:

[0167] When the target parameter includes the first parameter, the first parameter includes the health parameter of the target user and / or the contact surface parameter of the foot of the target user and the smart shoe collected by the data collection module, the user identity corresponding to the target user is determined according to the first parameter;

[0168] When the user identity indicates that the target user does not match the predetermined user of the smart shoe, it is determined that the analysis result indicates that the current state of the target user is the predetermined abnormal state;

[0169] When the target parameter includes the second parameter, the second parameter includes at least one of the health parameter of the target user, the parameter of the smart shoe relative to the ground, and the contact surface parameter of the foot of the target user and the smart shoe collected by the data collection module, it is determined whether the target user has abnormal signs according to the second parameter, and the abnormal signs include at least one of the falling sign, the bending to hold the article sign, the covering the body sign, and the pain expression sign;

[0170] When it is determined that the target user has abnormal signs, it is determined that the analysis result indicates that the current state of the target user is the predetermined abnormal state.

[0171] It can be seen that the optional embodiment can determine the current state of the user in a manner of determining the identity of the user and / or determining whether the user has abnormal signs, can enrich the manner of determining the current state of the user, and thus facilitate to improve the flexibility of the manner of determining the current state of the user and improve the accuracy of the determined current state of the user, and facilitate to more timely perform corresponding warning operation on the user in an abnormal state.

[0172] In another optional embodiment, as shown in Figure 4 The device can further include:

[0173] The estimation module 305 is configured to estimate a first injury probability of the target user in an injury state according to the health parameter of the target user when the target parameter includes the health parameter of the target user collected by the data collection module, and estimate a second injury probability of the target user in an injury state according to the third parameter when the target parameter includes the third parameter including the parameter of the smart shoe relative to the ground and the contact surface parameter of the foot of the target user and the smart shoe.

[0174] The determination module 306 is configured to determine an injury probability difference between the first injury probability and the second injury probability.

[0175] The determination module 306 is configured to determine an injury probability difference between the first injury probability and the second injury probability.

[0176] The determination module 306 is configured to determine the injury information of the target user according to the target parameter, determine the rescue information corresponding to the target user according to the injury information, and trigger the prompt output module 304 to perform the operation of outputting the warning information to the predetermined related person.

[0177] It can be seen that the device described in the embodiment Figure 4 The device described in the embodiment can determine whether the target user is in an injury state and determine the injury information of the user by analyzing different target parameters, and determine the rescue information according to the injury information, thereby providing a manner of determining whether the user is in an injury state after determining that the user is in an abnormal state, and facilitating to improve the accuracy of the determined rescue information and the output warning information and reduce unnecessary waste of resources, and thus facilitating to improve the intelligentization of the warning function of the smart shoe.

[0178] In the optional embodiment, as an optional implementation, the determining module 306 determines the specific manner of the injury information of the target user according to the target parameter, which includes:

[0179] When the target parameter includes the health parameter of the target user, the first injury information is determined according to the health parameter of the target user, and the first injury information includes the psychological fluctuation degree corresponding to the target user and the body index change amplitude corresponding to the target user.

[0180] When the target parameter includes the parameter of the smart shoe relative to the ground, the second injury information is determined according to the parameter of the smart shoe relative to the ground, and the second injury information includes the wear information of the smart shoe and the inclination angle of the smart shoe; the wear information includes the wear degree of the vamp of the smart shoe and / or the wear position of the smart shoe.

[0181] When the target parameter includes the contact surface parameter of the foot of the target user and the smart shoe, the third injury information is determined according to the contact surface parameter of the foot of the target user and the smart shoe, and the third injury information includes the contact area ratio between the contact surface of the foot of the target user and the smart shoe and the extrusion degree between the contact surface of the foot of the target user and the smart shoe.

[0182] The analysis module 302 analyzes at least one of the first injury information, the second injury information and the third injury information to obtain the injury information of the target user.

[0183] It can be seen that the optional embodiment can obtain multi-aspect injury information corresponding to different target parameters by analyzing different target parameters, and determine the final injury information of the user according to the multi-aspect injury information, which provides a way of determining the injury information of the user through multi-aspect parameters, is beneficial to improve the rationality of the way of determining the injury information of the user and improve the reliability of the determined injury information of the user, and is further beneficial to the subsequent smart shoe to realize the warning function according to the injury information of the user.

[0184] In another optional embodiment, the smart shoe includes a first smart shoe worn on the left foot of the target user and a second smart shoe worn on the right foot of the target user, and the target parameter corresponding to the target user collected by the data collection module arranged on the smart shoe includes the first target parameter corresponding to the target user collected by the collection module arranged on the first smart shoe and the second target parameter corresponding to the target user collected by the collection module arranged on the second smart shoe.

[0185] As shown in Figure 4 The apparatus can further include:

[0186] The computing module 307 is configured to calculate the matching degree between the first target parameter and the second target parameter before the analysis module 302 analyzes the target parameter to obtain the analysis result of the target parameter.

[0187] The determining module 303 is further configured to determine whether the matching degree is greater than or equal to a predetermined matching degree threshold, and trigger the analysis module 302 to perform the analysis on the target parameter to obtain the analysis result of the target parameter when the determination result is yes.

[0188] It can be seen that, by implementing the above-described embodiments, the apparatus described in the embodiments can determine whether the two shoes worn by the user are the same pair of shoes by the shoe head orientations of the first smart shoe and the second smart shoe, and determine whether the foot size of the target user conforms to the foot size requirement of the smart shoe corresponding to the smart shoe worn by the target user by the contact area ratio between the foot of the target user and the contact surface of the smart shoe, when it is determined that the two shoes worn by the target user are the same pair of shoes. Figure 4 The apparatus described in the embodiments can improve the accuracy and reliability of the parameter analysis operation, thereby improving the reliability and efficiency of the subsequent determination of the current state of the user.

[0189] In yet another optional embodiment, the determining module 303 is further configured to determine whether the shoe head orientations of the first smart shoe and the second smart shoe are oriented to the same side.

[0190] The determining module 306 is further configured to determine the contact area ratio between the foot of the target user and the contact surface of the smart shoe according to the contact surface parameter of the target user and the smart shoe included in the target parameter, when the determining module 303 determines that the first smart shoe and the second smart shoe are not oriented to the same side.

[0191] The determining module 303 is further configured to determine whether the contact area ratio is greater than or equal to a predetermined contact area ratio threshold, and trigger the calculating module 307 to perform the operation of calculating the matching degree between the first target parameter and the second target parameter when the determination result is yes.

[0192] It can be seen that, by implementing the above-described embodiments, the apparatus described in the embodiments can determine whether the two shoes worn by the user are the same pair of shoes by the shoe head orientations of the first smart shoe and the second smart shoe, and determine whether the foot size of the target user conforms to the foot size requirement of the smart shoe corresponding to the smart shoe worn by the target user by the contact area ratio between the foot of the target user and the contact surface of the smart shoe, when it is determined that the two shoes worn by the target user are the same pair of shoes. Figure 4 The apparatus described in the embodiments can improve the accuracy and reliability of the parameter analysis operation, thereby improving the reliability and efficiency of the subsequent determination of the current state of the user.

[0193] In yet another optional embodiment, as shown in Figure 4 The apparatus can further include:

[0194] The detection module 308 is configured to detect, when the judgment module 303 judges that the analysis result indicates that the current state of the target user is the predetermined abnormal state, whether the target user is still wearing the smart shoes according to the contact surface parameter of the foot of the target user and the smart shoes included in the target parameter, and trigger the determination module 306 to perform the operation of determining the injury information of the target user according to the target parameter when the detection result is yes.

[0195] The determination module 306 is further configured to determine the movement information of the smart shoes when the detection module 308 detects that the target user is not wearing the smart shoes, and the movement information of the smart shoes includes at least one of a movement trajectory of the smart shoes, a movement speed of the smart shoes, and a movement direction of the smart shoes.

[0196] The analysis module 302 is further configured to analyze the movement information of the smart shoes to obtain the injury information corresponding to the target user.

[0197] It can be seen that the implementation Figure 4 The described device can determine the user injury information in a corresponding manner according to the user wearing condition, which is beneficial to enrich the determination manner of the user injury information, and further beneficial to improve the flexibility and determination efficiency of the injury information determination operation and the accuracy of the determined injury information.

[0198] Embodiment Four

[0199] Please refer to Figure 5 , Figure 5 is another structure schematic diagram of a smart shoe-based early warning device disclosed by the embodiment of the present application. In the structure schematic diagram, Figure 5 The described device can exist independently or can be integrated in the smart shoes, and the embodiment of the present application does not make any limitation. As Figure 5 shown, the device can include:

[0200] a memory 401 in which an executable program code is stored;

[0201] a processor 402 coupled with the memory 401;

[0202] Further, the device can further include an input interface 403 and an output interface 404 coupled with the processor 402;

[0203] The processor 402 calls the executable program code stored in the memory 401, and is configured to execute the steps in the smart shoe-based early warning method described in the embodiment one or the embodiment two.

[0204] Embodiment Five

[0205] Please refer to Figure 6 , Figure 6 is a structure schematic diagram of a smart shoe. AsFigure 6 The intelligent shoe can include a smart shoe-based early warning device, and be used to implement some or all of the steps of the smart shoe-based early warning method described in one or two. Optionally, the smart shoe-based early warning device can be a smart shoe-based early warning device described in any one of the embodiments. Figures 3-5 The smart shoe-based early warning device described in any one of the embodiments is not limited by the embodiments of the present application.

[0206] Embodiment six

[0207] The embodiments of the present application disclose a computer readable storage medium storing a computer program for electronic data exchange, wherein the computer program causes a computer to execute the steps of the smart shoe-based early warning method described in embodiment one or embodiment two.

[0208] Embodiment seven

[0209] The embodiments of the present application disclose a computer program product, which comprises a non-transitory computer readable storage medium storing a computer program, and the computer program is operable to cause a computer to execute the steps of the smart shoe-based early warning method described in embodiment one or embodiment two.

[0210] The device embodiments described above are only schematic, wherein the modules described as separate components can or can not be physically separate, and the components displayed as modules can or can not be physical modules, i.e., can be located in one place, or can be distributed to multiple network modules. Some or all of the modules can be selected according to actual needs to achieve the purpose of the present embodiment scheme. Those skilled in the art can understand and implement without creative labor.

[0211] Those skilled in the art can clearly understand the implementation of the various embodiments by means of software and necessary general hardware platforms through the above specific description of the embodiments, and of course, the embodiments can also be implemented by hardware. Based on such understanding, the above technical solutions, essentially or in the sense of contribution to the prior art, can be embodied in the form of a software product. The computer software product can be stored in a computer readable storage medium, which includes a Read-Only Memory (ROM), a Random Access Memory (RAM), a Programmable Read-Only Memory (PROM), an Erasable Programmable Read-Only Memory (EPROM), an Electrically Erasable Programmable Read-Only Memory (EEPROM), a Compact Disc Read-Only Memory (CD-ROM), or other optical disk storage, a magnetic disk storage, a magnetic tape storage, or any other medium that can be used to carry or store data in a computer readable manner.

[0212] Finally, it should be noted that: the disclosed warning method and device based on intelligent shoes disclosed by the embodiments of the present application are only the preferred embodiments of the present application, and are used to illustrate the technical solutions of the present application, but not to limit them; although the present application has been described in detail with reference to the foregoing embodiments, those skilled in the art should understand that: the technical solutions recorded in the foregoing embodiments can still be modified, or some technical features can be replaced by equivalents; and these modifications or replacements do not make the corresponding technical solutions deviate from the spirit and scope of the technical solutions of the embodiments.

Claims

1. A smart shoe-based early warning method, characterized in that, The method comprises: collecting a target parameter corresponding to a target user wearing the smart shoes based on a data collection module arranged on the smart shoes, the target parameter comprising a health parameter of the target user, a parameter of the smart shoes relative to the ground, and a contact surface parameter of the foot of the target user and the smart shoes; analyzing the target parameter to obtain an analysis result of the target parameter, and determining whether the analysis result is used to indicate that the current state of the target user is a predetermined abnormal state; when the determination result is yes, outputting early warning information to a predetermined relevant person, the early warning information being used to prompt that the current state of the target user is the abnormal state; and the determination of whether the analysis result is used to indicate that the current state of the target user is a predetermined abnormal state comprises: when the target parameter comprises a first parameter, the first parameter comprising the health parameter of the target user and / or the contact surface parameter of the foot of the target user and the smart shoes, determining a user identity corresponding to the target user according to the first parameter; when the user identity is used to indicate that the target user does not match a predetermined user of the smart shoes, determining that the analysis result is used to indicate that the current state of the target user is the predetermined abnormal state; when the target parameter comprises a second parameter, the second parameter comprising at least one of the health parameter of the target user, the parameter of the smart shoes relative to the ground, and the contact surface parameter of the foot of the target user and the smart shoes, determining whether the target user has an abnormal sign according to the second parameter, the abnormal sign comprising at least one of a falling sign, a bending to hold an article sign, a covering body sign, and a pain expression sign; when it is determined that the target user has the abnormal sign, determining that the analysis result is used to indicate that the current state of the target user is the predetermined abnormal state; and the method further comprises: when the target parameter comprises the health parameter of the target user collected by the data collection module, estimating a first injury probability of the target user from being injured according to the health parameter of the target user; when the target parameter comprises a third parameter, the third parameter comprising the parameter of the smart shoes relative to the ground and the contact surface parameter of the foot of the target user and the smart shoes, estimating a second injury probability of the target user from being injured according to the third parameter; determining an injury probability difference between the first injury probability and the second injury probability, and determining whether the injury probability difference is less than or equal to a predetermined injury probability threshold, when the determination result is yes, performing the operation of outputting early warning information to a predetermined relevant person.

2. The smart shoe based early warning method according to claim 1, wherein, The method further comprises: determining injury information of the target user according to the target parameter; the injury information comprising an injury part of the target user and / or an injury level of the target user; According to the injury information, determine the rescue information corresponding to the target user, the rescue information includes the rescue emergency degree of the target user and / or the corresponding countermeasures of the injury information, and execute the operation of outputting the warning information to the predetermined related personnel, the warning information includes at least one of the rescue information, the injury information, and the position information corresponding to the target user. 3.The smart shoe-based early warning method according to claim 2, wherein, According to the target parameter, determine the injury information of the target user, including: When the target parameter includes the health parameter of the target user, according to the health parameter of the target user, determine the first injury information, the first injury information includes the psychological fluctuation degree corresponding to the target user and the body index change amplitude corresponding to the target user; When the target parameter includes the parameter of the smart shoe relative to the ground, according to the parameter of the smart shoe relative to the ground, determine the second injury information, the second injury information includes the wear information of the smart shoe and the inclination angle of the smart shoe; The wear information includes the wear degree of the vamp of the smart shoe and / or the wear position of the smart shoe; When the target parameter includes the contact surface parameter of the foot of the target user and the smart shoe, according to the contact surface parameter of the foot of the target user and the smart shoe, determine the third injury information, the third injury information includes the contact area ratio between the contact surface of the foot of the target user and the smart shoe and the extrusion degree between the contact surface of the foot of the target user and the smart shoe; Analyze at least one of the first injury information, the second injury information and the third injury information to obtain the injury information of the target user. 4.The smart shoe-based early warning method according to claim 2 or 3, characterized in that, The smart shoe includes a first smart shoe worn on the left foot of the target user and a second smart shoe worn on the right foot of the target user, and the data acquisition module arranged on the smart shoe acquires the target parameter corresponding to the target user wearing the smart shoe, including the first target parameter corresponding to the target user acquired by the acquisition module arranged on the first smart shoe and the second target parameter corresponding to the target user acquired by the acquisition module arranged on the second smart shoe. And, before the analysis of the target parameter, the method further comprises: Calculate the matching degree between the first target parameter and the second target parameter, and determine whether the matching degree is greater than or equal to the predetermined matching degree threshold, when the determination result is yes, execute the operation of analyzing the target parameter to obtain the analysis result of the target parameter. 5.The smart shoe-based early warning method according to claim 4, wherein, The method further comprises: Determine whether the toe direction of the first smart shoe and the toe direction of the second smart shoe are directed to the same side, when the determination result is no, according to the contact surface parameter of the target user and the smart shoe included in the target parameter, determine the contact area ratio between the foot of the target user and the contact surface of the smart shoe; determining whether the contact area ratio is greater than or equal to a predetermined contact area ratio threshold, and when the determination result is yes, performing the operation of calculating the matching degree between the first target parameter and the second target parameter. 6.The smart shoe-based early warning method according to claim 3, wherein, The method further comprises: when it is determined that the analysis result is used to represent that the current state of the target user is a predetermined abnormal state, detecting whether the target user is still wearing the smart shoe according to the contact surface parameter of the foot of the target user and the smart shoe included in the target parameter; when it is detected that the target user is not wearing the smart shoe, determining the movement information of the smart shoe, and analyzing the movement information of the smart shoe to obtain the injury information corresponding to the target user; the movement information of the smart shoe includes at least one of the movement trajectory of the smart shoe, the movement speed of the smart shoe, and the movement direction of the smart shoe; when it is detected that the target user is still wearing the smart shoe, performing the operation of determining the injury information of the target user according to the target parameter.

7. A smart shoe based early warning device characterized in that, The device comprises: a collection module configured to collect a target parameter corresponding to a target user wearing the smart shoe based on a data collection module arranged on the smart shoe, the target parameter including a health parameter of the target user, a parameter of the smart shoe relative to the ground, and a contact surface parameter of the foot of the target user and the smart shoe; an analysis module configured to analyze the target parameter to obtain an analysis result of the target parameter; a determination module configured to determine whether the analysis result is used to represent that the current state of the target user is a predetermined abnormal state; a prompt output module configured to output early warning information to a predetermined relevant person when the determination module determines that the analysis result is used to represent that the current state of the target user is a predetermined abnormal state, the early warning information being used to prompt that the current state of the target user is the abnormal state; and the specific manner in which the determination module determines whether the analysis result is used to represent that the current state of the target user is a predetermined abnormal state comprises: when the target parameter includes a first parameter, the first parameter including the health parameter of the target user and / or the contact surface parameter of the foot of the target user and the smart shoe, determining a user identity corresponding to the target user according to the first parameter; when the user identity is used to represent that the target user does not match a predetermined user of the smart shoe, determining that the analysis result is used to represent that the current state of the target user is a predetermined abnormal state. When the target parameter comprises a second parameter, the second parameter comprises at least one of a health parameter of the target user, a parameter of the smart shoe relative to the ground, and a parameter of a contact surface of the foot of the target user and the smart shoe collected by the data collection module, the second parameter is used to determine whether the target user has an abnormal sign, and the abnormal sign comprises at least one of a falling sign, a sign of bending to pick up an object, a sign of covering the body, and a sign of a painful face; When it is determined that the target user has the abnormal sign, it is determined that the analysis result is used to represent that the current state of the target user is the abnormal state determined in advance; In addition, the device further comprises: a prediction module, configured to, when the target parameter comprises a health parameter of the target user collected by the data collection module, predict a first injury probability of the target user from being injured according to the health parameter of the target user; and when the target parameter comprises a third parameter, the third parameter comprises a parameter of the smart shoe relative to the ground and a parameter of a contact surface of the foot of the target user and the smart shoe collected by the data collection module, predict a second injury probability of the target user from being injured according to the third parameter; a determination module, configured to determine an injury probability difference between the first injury probability and the second injury probability; The determination module is further configured to determine whether the injury probability difference is less than or equal to a predetermined injury probability threshold, and when the determination result is yes, trigger the prompt output module to perform the operation of outputting the early warning information to the relevant person determined in advance.

8. A smart shoe based early warning device, characterized in that, The device comprises: a memory storing executable program codes; a processor coupled with the memory; The processor invokes the executable program codes stored in the memory to execute the smart shoe-based early warning method according to any one of claims 1-6.

9. An intelligent shoe, characterized by The smart shoe is used to execute the smart shoe-based early warning method according to any one of claims 1-6. The smart shoe is used to execute the smart shoe-based early warning method according to any one of claims 1-6.

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