CN112086164A

CN112086164A - Physical condition feedback method, system and storage medium

Info

Publication number: CN112086164A
Application number: CN202010870344.3A
Authority: CN
Inventors: 蔡清来
Original assignee: Fujian World Linking Technology Co ltd
Current assignee: Fujian World Linking Technology Co ltd
Priority date: 2020-08-26
Filing date: 2020-08-26
Publication date: 2020-12-15

Abstract

The embodiment of the application discloses a physical condition feedback method, which comprises the following steps: the method comprises the steps of obtaining physical condition data of a user, wherein the physical condition data comprises at least one of real-time gait data, movement data, physiological data and physical state data; a judging step, namely comparing the acquired physical condition data with corresponding preset standard data to obtain a comparison result; and a feedback step of giving a feedback response according to the comparison result. The body condition data of the user are obtained in real time and then compared with the corresponding preset standard data to obtain a comparison result, so that corresponding feedback response can be given according to the comparison result, and correction or rescue can be formed for the user.

Description

Physical condition feedback method, system and storage medium

Technical Field

The embodiment of the application relates to the field of wearable equipment, in particular to a method for correcting gait of a user, the wearable equipment and a system.

Background

The walking posture is a dynamic state presented by the human body and is a continuation of the standing posture. The walking posture is elegant and modesty, which not only gives people a feeling of being calm, steady and cool, but also is an important form for showing the self quality of qi and repairing. The walking posture can be noticed to prevent the deformation and the deformation of the body, and even prevent the cervical vertebra diseases. The incorrect walking posture can be reflected to the brain, so that the brain is in a tension state no matter a person works on a desk or walks, and the tension which cannot be relieved in the daytime causes overstrain of the brain and can influence the sleep at night. The correct walking posture is beneficial to health preserving and is beneficial to leg beautifying and shaping.

Gait recognition is a new biological feature recognition technology, which is to perform identity recognition and authentication of people according to walking postures of people, and has the characteristics of being far away, non-contact, difficult to disguise and difficult to hide compared with face recognition, fingerprint recognition and the like. When the walking posture of the user is incorrect, how to correct the gait of the user is a problem to be solved urgently.

Disclosure of Invention

The embodiment of the application provides an information matching pushing method, an information matching pushing system and a storage medium, wherein a comparison result is obtained by obtaining physical condition data of a user in real time and comparing the physical condition data with corresponding preset standard data, so that a corresponding feedback response can be given according to the comparison result, and correction or rescue can be formed on the user.

In a first aspect, an embodiment of the present application provides a physical status feedback method, including:

the method comprises the steps of obtaining physical condition data of a user, wherein the physical condition data comprises at least one of real-time gait data, movement data, physiological data and physical state data;

a judging step, namely comparing the acquired physical condition data with corresponding preset standard data to obtain a comparison result;

and a feedback step of giving a feedback response according to the comparison result.

Alternatively,

when the physical condition data is real-time gait data, the preset standard data is preset gait model data;

when the comparison result shows that the real-time gait data is inconsistent with the preset gait model data,

the feedback response includes presenting a gait correction scenario and executing the gait correction scenario.

Alternatively,

the real-time gait data includes: at least one of the pressure of the left foot, the pressure of the right foot, the landing mode of the left foot, the landing mode of the right foot, the flying height, the flying time, the landing time, the single step stride size, the impact force and the sole deflection angle.

Alternatively,

when the comparison result is that the real-time gait data is inconsistent with the preset gait model data, the method further comprises the following steps:

and a reminding step, namely reminding the user through at least one of light, vibration and voice.

Optionally, the acquiring real-time gait data comprises:

acquiring a user plantar contour by a sensor assembly, the sensor assembly comprising: at least one of a temperature sensor, an infrared sensor, a microcirculation sensor, a capillary vessel sensor and an acceleration sensor.

Optionally, the performing the gait correction scenario comprises:

the correction scheme is executed through at least one of a pulse current probe, an infrared heat probe, a magnetic therapy probe and a sole pressing probe.

Alternatively,

when the physical condition data is motion data and/or physiological data,

the method further comprises a data fusion step, wherein the motion data and/or the physiological data are fused to form a current physical condition index of the user;

the preset standard data is a preset health index reference value;

when the comparison result shows that the current body state index of the user exceeds the preset health index reference value,

the feedback response includes sending a health prompt.

Alternatively,

the obtaining step also obtains the real-time position of the current user, and when the comparison result shows that the current body state index of the user exceeds the preset health index reference value, the real-time position of the current user is sent to the medical institution closest to the real-time position of the current user.

Alternatively,

when the physical status data is physical status information,

the preset standard data is preset motion evaluation information,

when the comparison result shows that the body state information does not accord with the preset evaluation information,

the feedback response includes giving a corrective measure.

In a second aspect, an embodiment of the present application provides a body condition feedback system, including:

the system comprises an acquisition unit, a processing unit and a display unit, wherein the acquisition unit is used for acquiring physical condition data of a user, and the physical condition data comprises at least one of real-time gait data, motion data, physiological data and physical state data;

the judging unit is used for comparing the acquired physical condition data with corresponding preset standard data to obtain a comparison result;

and the feedback unit is used for giving a feedback response according to the comparison result.

Alternatively,

and the reminding unit is used for reminding the user through at least one of light, vibration and voice.

Optionally, the acquiring real-time gait data comprises:

Optionally, the performing the gait correction scenario comprises:

Alternatively,

when the physical condition data is motion data and/or physiological data,

the data fusion unit is used for fusing the motion data and/or the physiological data to form a current physical condition index of the user;

the preset standard data is a preset health index reference value;

the feedback response includes sending a health prompt.

Alternatively,

the obtaining unit is further used for obtaining the real-time position of the current user, and when the comparison result shows that the current body state index of the user exceeds the preset health index reference value, the real-time position of the current user is sent to the medical institution closest to the real-time position of the current user.

Alternatively,

when the physical status data is physical status information,

the preset standard data is preset motion evaluation information,

the feedback response includes giving a corrective measure.

In a third aspect, an embodiment of the present application provides a storage medium, including: a processor coupled to a memory for storing computer programs or instructions, the processor for executing the computer programs or instructions in the memory to implement the method as described above.

According to the technical scheme, the embodiment of the application has the following advantages:

(1) the body condition data of the user are acquired in real time and then compared with the corresponding preset standard data to obtain a comparison result, so that corresponding feedback response can be given according to the comparison result to form correction or rescue for the user;

(2) when the gait of the user is incorrect, a correction scheme can be obtained, so that the gait of the user can be corrected;

(3) when the current body state index of the user exceeds a preset health index reference value, health condition prompt information is sent out in time, and a medical institution closest to the user can be prompted to provide timely rescue;

(4) when the body state information of the user does not accord with the preset evaluation information, a more appropriate correction scheme can be given.

Drawings

In order to more clearly illustrate the technical solutions of the embodiments of the present application, the drawings used in the description of the embodiments will be briefly introduced below, and it is apparent that the drawings in the following description are only some embodiments of the present application.

FIG. 1 is a schematic view of a method of gait correction according to an embodiment of the present application;

fig. 2 is a schematic structural diagram of a wearable device provided in an embodiment of the present application;

fig. 3 is a schematic structural diagram of a server according to an embodiment of the present application;

FIG. 4 is a block diagram of a system according to an embodiment of the present disclosure;

fig. 5 is a schematic structural diagram of a mobile terminal according to an embodiment of the present application;

fig. 6 is a schematic structural diagram of a management terminal according to an embodiment of the present application;

FIG. 7 is a schematic structural diagram of a doctor terminal according to an embodiment of the present disclosure;

fig. 8 is a schematic flowchart of a control method of a wearable device according to a second embodiment of the present application;

fig. 9 is a schematic structural diagram of a wearable device according to a second embodiment of the present application;

fig. 10 is a schematic structural diagram of a server according to a second embodiment of the present application;

fig. 11 is a schematic architecture diagram of a management system according to a second embodiment of the present application;

fig. 12 is a schematic structural diagram of a user terminal according to a second embodiment of the present application;

fig. 13 is a schematic structural diagram of a doctor terminal according to a second embodiment of the present application;

fig. 14 is a schematic structural diagram of a training management system provided in the third embodiment of the present application;

fig. 15 is a schematic structural diagram of a terminal device according to a third embodiment of the present application;

fig. 16 is a schematic structural diagram of a detection apparatus according to a third embodiment of the present application;

fig. 17 is a schematic structural diagram of a server according to a third embodiment of the present application;

fig. 18 is a schematic structural diagram of an orthotic device according to a third embodiment of the present application.

Detailed Description

The embodiment of the application provides a commodity matching method and a related device, which are used for detecting the posture of a user and recommending different commodities for the user according to a matching result obtained by matching.

The terms "first," "second," "third," "fourth," and the like in the description and in the claims of the present application and in the drawings described above, if any, are used for distinguishing between similar elements and not necessarily for describing a particular sequential or chronological order. It is to be understood that the data so used is interchangeable under appropriate circumstances such that the embodiments of the application described herein are capable of operation in sequences other than those illustrated or described herein. Furthermore, the terms "comprises," "comprising," and "having," and any variations thereof, are intended to cover a non-exclusive inclusion, such that a process, method, system, article, or apparatus that comprises a list of steps or elements is not necessarily limited to those steps or elements expressly listed, but may include other steps or elements not expressly listed or inherent to such process, method, article, or apparatus.

The first embodiment is as follows:

The present application therefore provides a method of gait correction, see figure 1, the method comprising:

101. acquiring real-time gait data.

The wearable device acquires real-time gait data. The wearable device may include, but is not limited to, smart bracelets, smart watches, smart shoes, smart socks, smart clothing, smart hats, smart glasses.

The real-time gait data includes, but is not limited to, left foot pressure level, right foot pressure level, left foot landing profile, right foot landing profile, flight height, flight time, landing time, single step stride size, impact force, and ball deflection angle.

The wearable device can also identify the outline of the sole of a foot, and particularly, the wearable device can be used for identifying the outline of the sole of a foot through one or more of a temperature sensor, an infrared sensor, a microcirculation sensor, a capillary vessel sensor and an acceleration sensor. For example, the acceleration sensor may include a three-axis acceleration sensor and a six-axis acceleration sensor.

The temperature sensor can be arranged on the surface of the pedicure pad, when a user steps on the pedicure pad, the temperature of each position on the pedicure pad is collected, and the outline of the sole of the user is identified according to the difference of the temperature values;

the infrared sensor can be arranged on the surface of the pedicure pad, and when a user steps on the pedicure pad, the infrared sensor collects infrared signals at each position on the pedicure pad and identifies the outline of the foot sole of the user according to the infrared information;

the microcirculation sensor is arranged on the surface of the pedicure pad, and when a user steps on the pedicure pad, the microcirculation sensor detects the blood microcirculation of the sole of the user and identifies the outline of the sole of the user according to the microcirculation detection result;

the capillary vessel sensor is arranged on the surface of the pedicure pad, when a user steps on the pedicure pad, the capillary vessel of the sole of the user is detected, and the sole outline of the user is identified according to the detection result of the capillary vessel.

102. And comparing the real-time gait data with preset gait model data, and acquiring a comparison result.

The wearable device can compare the real-time gait data with preset gait model data and acquire a comparison result. For example, the sole deflection angle may be compared with a preset normal sole deflection angle threshold, and if the measured data is within the normal sole deflection angle threshold, it indicates that the current sole deflection angle is in a normal state.

The comparison result may be whether the real-time gait data is within a preset gait model data range, and if not, the comparison result may include an offset of the gait data with respect to the preset gait model data range.

103. And sending the comparison result to a server.

The wearable device sends the comparison result to a server, which may be a cloud server.

104. And sending the comparison result to a doctor terminal, and acquiring a correction scheme from the doctor terminal.

The server sends the comparison result to a doctor terminal, and the doctor can give a correction scheme through the doctor terminal. The doctor terminal may send the corrective program to a server.

105. And if the real-time gait data is not in the preset gait model data range, reminding the user.

When the real-time gait data is not within the preset gait model data range, the wearable device can remind the user.

Specifically, the wearable device can remind through at least one of light, vibration and voice.

Taking light as an example, the magnitude of the pressure values of the left foot and the right foot is described through the lighting quantity or brightness of the lamps, the lamps of the light modules on the left foot and the right foot are gradually powered along with the increase of the pressure percentage of the foot, and when the pressure of the left foot of a user is higher and the pressure of the right foot of the user is lower, the lighting area of the left light bar is longer, and the lighting area of the right light bar is shorter; when gravity is completely concentrated on one foot, the light bars on one side are completely lightened, and the light bars on the other side are completely extinguished. The lamp can make the user visually know the current pressure conditions of the left foot and the right foot, and can remind the user to correct if the left foot and the right foot of the user have obvious pressure value difference.

Taking vibration as an example, describing the magnitude of the pressure values of the left foot and the right foot through the vibration intensity of the vibration motors or vibrators, wherein the vibration motors or vibrators of the vibration modules on the left foot and the right foot are gradually charged along with the increase of the pressure percentage of the foot; when the gravity is completely concentrated on one foot, the vibration motor or vibrator on one side is continuously vibrated while the vibration motor or vibrator on the other side is completely suspended. Through the vibration intensity or the vibration duration of the vibration motor and the vibrator, a user can visually know the pressure conditions of the current left foot and the current right foot, and if the left foot and the right foot of the user have obvious pressure value difference, the user can be timely reminded to correct the pressure conditions.

Taking sound as an example, the sound module describes the magnitude of the pressure values of the left foot and the right foot through the sound intensity of a buzzer or a voice broadcast mode, the buzzers of the sound modules on the left foot and the right foot gradually increase the electric quantity along with the increase of the pressure percentage of the foot, or directly broadcasts the current real-time pressure values of the left foot and the right foot through voice, when the pressure of the left foot of a user is higher and the pressure of the right foot of the user is lower, the sound intensity of the buzzer on the left foot is higher, the sound intensity of the buzzer on the right foot is lower, or directly broadcasts the current real-time pressure values of the left foot and the right foot through voice; when gravity is completely concentrated on one foot, the buzzer on one side continuously responds, and the buzzer on the other side stops responding, or the current real-time pressure values of the left foot and the right foot are directly broadcasted through voice. The pressure value of the left foot and the right foot can be broadcasted in real time through the sound intensity of the buzzer or the voice, so that a user can visually know the pressure condition of the current left foot and the current right foot, and the user can be reminded to correct the pressure condition if the left foot and the right foot of the user have obvious pressure value difference.

106. Sending the corrective program to the wearable device.

The server sends the wearable device a remediation plan.

107. A corrective regimen is implemented.

The wearable device implements a corrective regimen. Specifically, the correction scheme may be performed by at least one of a pulse current probe, an infrared heat probe, a magnetic therapy probe, and a sole pressing probe.

Optionally, in the process of implementing the correction scheme, the correction process may be optimized in a feedback manner, and specifically, the process may include:

SS 1: in the process of implementing correction, the pressure distribution of the sole and the change of gait of the user are detected in real time, and the correction effect of the correction scheme on the user is analyzed;

SS 2: dynamically adjusting the correction parameters of the probe, recording the plantar pressure distribution and gait change of the user in real time, and tracking and analyzing the influence of the change of the correction parameters on the correction effect;

SS 3: analyzing to obtain optimal correction parameters according to the plantar pressure distribution and the change condition of gait of the user;

SS 4: and feeding back the optimal correction parameters to the doctor terminal, and updating and optimizing the correction scheme according to the optimal correction parameters.

The server may establish a gait model database with gait model data, and the model data update algorithm may be: giving different weights to the real-time gait data corresponding to the user according to different user identity information, and finally performing weighted average calculation on the real-time gait data of a plurality of users to obtain updated gait model data;

the wearable equipment compares the real-time gait data of the user with preset gait model data, sends the comparison result of the user to the server, and forwards the comparison result to the doctor terminal through the server to enable the doctor to determine a correction scheme, the doctor inputs or selects the correction scheme through the doctor terminal, the correction scheme is forwarded to the management terminal through the server, and the management terminal sends corresponding correction information to the wearable equipment.

In addition, the management terminal calculates the motion score of the user according to the motion data of the user and uploads the motion score to the ranking list, the motion score mode of the user adopts (1- (correction time/total motion time)) + 100, the user can be effectively supervised to pay attention to the motion posture of the user through uploading the motion score of the user, and in addition, the user can be promoted to better correct the bad motion posture of the user through a competition mode of friend ranking;

in addition, the ranking list of the management terminal can be used for ranking according to the exercise scores of the users, friends of the users can also check the exercise data of the users at this time, including but not limited to exercise duration, step frequency, gait conditions, correction suggestions and gait graphs, if the friends of the users also exercise within the same day, the management terminal can also automatically compare the exercise data of the friends with the exercise data of the users, and the exercise interestingness is enriched while the gaits are corrected.

The present application further provides a wearable device 20, the wearable device 20 is used for implementing the above-mentioned gait correction method, please refer to fig. 2, the wearable device 20 may include:

the detection module 201 is configured to acquire real-time gait data. The real-time gait data includes: the pressure of the left foot, the pressure of the right foot, the landing mode of the left foot, the landing mode of the right foot, the flying height, the flying time, the landing time, the single step stride size, the impact force and the sole deflection angle.

The detection module 201 is further configured to obtain a user sole contour through a sensor assembly, where the sensor assembly includes: at least one of a temperature sensor, an infrared sensor, a microcirculation sensor, a capillary vessel sensor and an acceleration sensor.

The processing module 202 is configured to compare the real-time gait data with preset gait model data and obtain a comparison result;

and the communication module 203 is configured to send the comparison result to a server to instruct the server to obtain a correction scheme.

The communication module 203 is further configured to receive the corrective measure from the server.

And the reminding module 204 is used for reminding the user when the real-time gait data is not in the preset gait model data range. The reminding device is specifically used for reminding through at least one of light, vibration and voice.

A corrective module 205 for implementing the corrective program. The correction module comprises at least one of a pulse current probe, an infrared heat probe, a magnetic therapy probe and a sole pressing probe,

the correction module 205 is specifically configured to execute the correction scheme through at least one of a pulse current probe, an infrared thermal probe, a magnetic therapy probe, and a foot sole pressing probe.

The present application further provides a server 30, the server 30 is used for executing the above-mentioned gait correcting method, please refer to fig. 3, the server 30 may include:

the communication module 301 is configured to receive a comparison result from a wearable device, where the comparison result is obtained by comparing real-time gait data with preset gait model data by the wearable device; the doctor terminal is used for sending the comparison result to the doctor terminal so as to instruct the doctor terminal to determine a correction scheme according to the comparison result; and further configured to receive the remedial plan from a physician terminal and send the remedial plan to the wearable device. The real-time gait data includes: the pressure of the left foot, the pressure of the right foot, the landing mode of the left foot, the landing mode of the right foot, the flying height, the flying time, the landing time, the single step stride size, the impact force and the sole deflection angle.

The present application further provides a system 40, please refer to fig. 4, where the system 40 may include:

a wearable device 401, which is the wearable device 20 provided in the above-described embodiment. The server 402 is the server 30 provided in the above embodiment.

A mobile terminal 403, which is matched to the wearable device 401. The mobile terminal 402 may be understood with reference to fig. 5. The mobile terminal 402 includes: a communication module 4031 and a display module 4032. The communication module 4031 is configured to acquire the real-time gait data from the wearable device and synchronize the real-time gait data to the management terminal 405; the communication module 4031 is further configured to receive a reminder signal from the management terminal. The display module 4032 is configured to display the real-time gait data.

The physician terminal 404, as can be appreciated with reference to FIG. 7, includes a communication module 4041 and a determination module 4042. The communication module 4041 is configured to receive the comparison result from the server. When it is determined that the terminal receives the doctor's correction scenario, the communication module 4041 is configured to transmit the correction scenario to the server. The determining module 4042 is configured to receive a doctor's correction plan.

The management terminal 405, which can be understood with reference to fig. 6, includes a data processing module 4051, configured to compare the real-time gait data with standard data stored in a gait model database, and generate a reminding signal;

the communication module 4052 is configured to send the alert signal to the terminal device.

And the calculating module 4053 is configured to obtain a corresponding motion score according to the real-time gait data.

A comparing module 4054, configured to compare the sports score with the sports score of the friend.

The correcting module 4055 is used for sending the gait data detection result of the user to the server, the server forwards the gait data detection result to the doctor terminal for the doctor to determine a correcting scheme, the doctor inputs or selects the correcting scheme through the doctor terminal, the correcting scheme is forwarded to the management platform through the cloud server, and the management platform sends corresponding correcting information to the management platform and the wearable device.

The recommending module 4056 is configured to recommend a motion type suitable for the current user and a wearable device suitable for the current user according to the correction information sent by the correcting module and the motion data of the user.

It should be noted that the above devices may communicate through communication methods such as bluetooth and Near Field Communication (NFC), and may also communicate through communication methods such as narrow band internet of things (NB-IOT), wireless network (WIFI), and mobile internet (2G/3G/4G/5G).

Example two:

along with the continuous development of terminal technology, various intelligent terminal equipment such as smart mobile phone, panel computer, intelligent bracelet and intelligent wrist-watch constantly rush into market, have richened user's terminal equipment greatly and have experienced the enjoyment to especially receive liking of user's at utmost with intelligent wearable equipment such as intelligent bracelet and intelligent wrist-watch.

At present, there are many wearable sports products in the market for monitoring user's motion state, there are mainly two kinds of functions: first, it is a function of counting steps and calculating human body's consumed calories, i.e. recording the user's 24-hour exercise situation. Secondly, the health monitoring of the individual, such as heart rate, sleep monitoring, etc., but both of these functions intelligently provide simple data presentation and cannot make corresponding actions for the data detected by the wearable device, and the data detected by the wearable device does not play a substantial role.

Particularly in some special scenarios, when the user is in an accident situation, the wearable device cannot react to the environment in which the user is located to the accident situation encountered by the user, and thus the time may be delayed, so that the user is exposed to danger.

Accordingly, as shown in fig. 8, the present application provides a method for controlling a wearable device, the method including:

2101. current motion data and/or physiological data of the user is detected.

The wearable device may detect the user's current motion data and/or physiological data. The wearable device includes but is not limited to smart band, smart shoe, smart glasses, etc. The exercise data and/or physiological data includes, but is not limited to, body temperature, heart rate, exercise speed, number of steps, presence or absence of endorsia, etc.

The wearable device may also detect a real-time location of the user.

2102. And performing fusion processing according to the current motion data and/or physiological data of the user to obtain the current physical condition index of the user.

The wearable device can perform fusion processing according to the current motion data and/or physiological data of the user, so as to obtain the current physical condition index of the user. For example, if the wearable device is an intelligent bracelet, the intelligent bracelet may acquire the body temperature, the heart rate, and the exercise speed of the user in step 2101. The intelligent bracelet inputs the body temperature, the heart rate and the movement speed into a preset fusion processing calculation formula, and a body condition index from 0 to 2100 is obtained through calculation.

The wearable device can save the computing resource of the server when executing the computing process.

2103. And sending the current physical condition index of the user to a server through a base station.

The wearable device sends the current physical condition index of the user to the server through the base station. At the same time, the wearable device may also send the motion data and/or physiological data of the user detected by the wearable device, and the real-time location of the user to the server.

The wearable device may also send the user's real-time location, the user's motion data, and/or physiological data to the physician terminal. The server may be a cloud server.

2104. And comparing the current physical condition index of the user with a preset reference value.

The server compares the current physical condition index of the user with a preset reference value. For example, if the wearable device obtains that the current physical condition index of the user is 85 and the preset reference value is 80 in step 2102, the server may determine that the current physical condition index of the user is greater than the preset reference value, which indicates that the user is at risk at this time.

The server may also specifically analyze problems that may occur to the user based on the user's motion data and/or physiological data. For example, the server may determine that the user's heart rate value is too high, body temperature value is too high, a word of eight within a continuous occurrence, etc., based on the user's motion data and/or physiological data sent by the wearable device.

It should be noted that in step 2102, the wearable device may obtain the current physical condition index of the user according to the current motion data and/or physiological data of the user. The process may also be performed by a server. Specifically, after the wearable device detects the current motion data and/or physiological data of the user, the current motion data and/or physiological data of the user are sent to the server through the base station, and the server obtains the current physical condition index of the user according to the current motion data and/or physiological data of the user.

2105. And determining that the current physical condition index of the user is greater than or equal to a preset reference value.

The server determines that the current physical condition index of the user is greater than or equal to a preset reference value.

2106. And sending prompt information to the wearable device through the base station.

The server sends prompt information to the wearable device through the base station.

In addition, the server can also send the possible problems of the user, which are specifically analyzed by the server, to the doctor terminal so that the doctor can react conveniently.

The doctor terminal can match a corresponding treatment strategy from a pre-constructed treatment strategy library according to the current physical condition index of the user, and sends the treatment strategy to the server through the base station. In an emergency situation, the doctor terminal can send the treatment strategy to the nearest hospital located by the user in real time so as to ensure that the user is accurately treated.

The server may forward the therapy policy to a user terminal that matches the wearable device, which may display the therapy policy.

2107. And prompting the user.

After the wearable device receives the prompt message sent by the server, the wearable device can remind the user. Specifically, the wearable device can emit vibration, sound or light to prompt the user. The number, frequency, intensity of the vibration; volume, audio, content of sound; and the intensity, the flashing frequency and the color of the light can be preset.

The embodiment of the application provides a control method of wearable equipment, which is characterized by comprising the following steps: detecting current motion data and/or physiological data of a user; performing fusion processing according to the current motion data and/or physiological data of the user to obtain the current physical condition index of the user; sending the current physical condition index of the user to a server through a base station to instruct the server to compare the current physical condition index of the user with a preset reference value; receiving prompt information from a server through a base station, wherein the prompt information is sent when the server determines that the current physical condition index of the user is greater than or equal to a preset reference value; and when the prompt information is received, prompting the user. In the method, after the wearable device obtains the current physical condition index of the user through the current motion data and/or physiological data of the user, if the server determines that the physical condition index is greater than or equal to the preset reference value, it can be determined that the user is in an accident situation. The wearable device can remind the user, so that the user can be prevented from being exposed to danger.

An embodiment of the present application further provides a wearable device, please refer to fig. 9, where the wearable device 220 is used to implement the method for controlling a wearable device according to the embodiment, and the wearable device may include:

a detecting module 2201, configured to detect current motion data and/or physiological data of the user;

a processing module 2202, configured to perform fusion processing according to the current motion data and/or physiological data of the user to obtain a current physical condition index of the user;

a communication module 2203, configured to send the current physical status indicator of the user to a server through a base station, so as to instruct the server to compare the current physical status indicator of the user with a preset reference value;

the communication module 2203 is further configured to receive, by the base station, a prompt message from the server, where the prompt message is sent when the server determines that the current physical condition indicator of the user is greater than or equal to a preset reference value.

A reminding module 2204, configured to prompt the user when the communication module receives the prompt message.

Specifically, the reminding module 2204 includes: at least one submodule piece among vibration submodule piece, sound submodule piece and the light submodule piece works as communication module receives during the prompt message, the vibrator module is used for reminding the user through the vibration, the sound submodule piece is used for reminding the user through sound, the light submodule piece is used for reminding the user through light.

A positioning module 2205, configured to obtain real-time positioning of a user;

the communication module 2203 is further configured to send the real-time location of the user to the server through the base station.

An embodiment of the present application provides a server 230, as shown in fig. 10, where the server 230 includes:

a data obtaining module 2301, configured to obtain a current physical condition index of a user from the wearable device, where the physical condition of the user is obtained by the wearable device according to a current motion data and/or physiological data fusion process of the user;

a data comparison module 2302 for comparing the current physical condition index of the user with a preset reference value;

a data sending module 2303, configured to send a prompt message to the wearable device through a base station when the data comparing module determines that the current physical condition indicator of the user is greater than or equal to a preset reference value.

The management system 240 provided by the embodiment of the application includes the wearable device and the server. Specifically, referring to fig. 11, the management system includes:

wearable device 2401, server 2402, base station 2403, user terminal 2404, doctor's terminal 2405. The wearable device 2401, the server 2402, the user terminal 2404, and the doctor terminal 2405 may communicate through the base station 2403.

Referring to fig. 12, the user terminal 2404 includes:

an obtaining module 24041, configured to obtain the treatment policy from the server;

a display module 24042 for displaying the treatment strategy.

Referring to fig. 13, the doctor terminal 2405 includes:

an obtaining module 24051, configured to obtain, from the wearable device, a current physical condition index of the user and a real-time location of the user, and obtain, from the server, the comparison result;

the processing module 24052 is configured to match a corresponding treatment policy from a pre-constructed treatment policy library according to the current physical condition index of the user and the comparison result;

a sending module 24053, configured to send the treatment policy to the server. A

The present application also provides a chip, the chip includes: a processor coupled with a memory for storing computer programs or instructions, the processor for executing the computer programs or instructions in the memory to implement the method steps performed by the wearable device in the embodiments of the present application.

The present application also provides a chip, the chip includes: a processor coupled to a memory for storing computer programs or instructions, the processor for executing the computer programs or instructions in the memory to implement the method steps performed by the server in the embodiments of the present application.

Example three:

with the rapid development of economy, the living standard of people is gradually improved, and the exercise and fitness become the exercise and leisure way for most people to work.

However, despite the availability of many exercise tools and facilities, many fail to exercise at recommended levels to maintain good physical fitness levels according to scientifically accepted guidelines. Since physical fitness is not a one-dimensional concept, it includes several categories such as cardiovascular endurance, muscle status and function, flexibility, coordination, body composition, etc. Each of these categories is associated with a physical workout, and each category contributes differently to the workout as individuals vary. Users are often overloaded in the process of developing their own efficient exercises.

This emphasizes the need for a personalized exercise program. Moreover, a personalized program that exercises in a safe, effective and time-efficient manner will address the lack of time barrier, which is expressed by many as one of the main reasons for not taking part in the exercise.

Thus, from a physical fitness standpoint, maintaining health means at least having a sufficient level of performance in each category of fitness. Scientific studies have shown that after stratification (stratification), cardiovascular endurance, muscle status and function (strength), flexibility, balance and body composition appear to be the most relevant. The capabilities in each of these categories are exploited differently for each individual.

Since how these are evaluated is neither obvious nor trivial, a serious exercise program would require reliable support for the user for a professionally approved evaluation of the user's physical fitness status covering each of these categories.

Based on this evaluation, the user will be able to develop a carefully planned and efficient procedure that meets his/her own needs. In order to achieve such a personalized and efficient exercise program, some additional information (e.g. different importance of the various components of the physical fitness, training principles, safety rules, etc.) needs to be considered.

When the user moves, the moving posture is incorrect, and the health of the user may be affected. For example, when the user performs running exercise, the user's health may be affected if the running posture is incorrect. For example, if the user runs in the other eight running postures for a long time, pain may be caused. How to solve the physical influence caused by the running posture becomes the problem which needs to be solved urgently at present.

According to the scheme, on the premise of acquiring corresponding requirements, the basic exercise capacity of the user is further acquired to select a training scheme. Meanwhile, the existing training system does not acquire the exercise capacity data and the physical condition data of the user, and the matching degree of the difficulty degree of the pushed training scheme and the user is low. The difficult training intensity exceeds the bearing of the user, the body is easy to be damaged, the completion degree is low, and the brought training effect is low. The training effect of the easier training scheme is difficult to achieve the expectation of the user.

Referring to fig. 14, the present application provides a training management system, including: the system comprises a detection device 3101, a server 3102, a terminal device 3103 and an orthotic device 3104, wherein the terminal device 3103 is used for acquiring body state information input by a user; the detecting device 3101, configured to obtain first motion data of the user and obtain motion estimation information according to the first motion data; the server 3102 for generating an exercise plan based on the physical state information and the exercise evaluation information; the server 3102 is further configured to compare the second exercise data of the user acquired by the detection apparatus 3101 with the exercise plan, and obtain a control policy; the correcting device 3104 corrects the motion state of the user according to the control strategy.

Specifically, the terminal device 3103 may receive body state information of the user. Specific such physical state information includes, but is not limited to: the medical history of the user, the height and the weight of the user, the daily blood pressure value of the user, the daily body temperature value of the user and the leg shape of the user. The terminal device 3103 may also transmit the received physical state information of the user to the server 3102.

The detection device 3101 may acquire first motion data of the user. The first motion data may be test motion data of the user, which may be considered standard motion data. The detecting device 3101 may analyze the first motion data of the user and obtain motion estimation information. And send the motion assessment information to a server.

The server 3102 may be a cloud server. The server 3102 may receive the body state information and the exercise evaluation information of the user. And generating an exercise plan based on the body state information and the exercise evaluation information. And transmits the movement plan to the terminal apparatus 3103.

The terminal device 3103 may receive the exercise plan to prompt the user to perform an exercise according to the exercise plan. After the user completes the corresponding exercise plan, the detection device may collect second exercise data of the user. The second exercise data is exercise data actually completed by the user according to the user exercise plan. The server 3102 may compare the second movement data to the movement plan and match a corresponding control strategy from the control strategy database. After acquiring the control policy, the server 3102 may transmit the control policy to the orthotic device 3104.

The orthotic device 3104 may receive the control strategy. And storing and analyzing the control strategy and executing the control strategy. Specifically, the exercise state of the user may be corrected according to the control strategy.

Referring to fig. 15, the present application provides a terminal device 3103, where the terminal device 3103 is the terminal device in the training management system. The terminal device 3103 includes, but is not limited to, a smart phone, a smart watch, a smart band, a music player, a notebook computer, a tablet computer, an IPAD, an internet device with a touch display screen and an information processing function (e.g., a digital camera, a refrigerator, a television), and other devices. The Operating system of the terminal device 3103 includes, but is not limited to, an Android system, an ios (iOS Operating system) system, a Windows phone system, a Windows system, and the like. The modules in the terminal device are directly or indirectly electrically connected with each other to realize data transmission or interaction. For example, the components may be electrically connected to each other via one or more communication buses or signal lines. The terminal device 3103 includes:

an obtaining module 31031, configured to obtain the body state information of the user, where the body state information of the user includes: the medical record of the user, the height and the weight of the user, the daily blood pressure value of the user, the daily body temperature value of the user and the leg shape of the user;

a communication module 31032, configured to send the body state information of the user to the server.

The display module 31033 provides an interactive interface (e.g., a user interface) between the terminal device 3103 and a user or for displaying image data. In this embodiment, the display unit may be a liquid crystal display or a touch display. In the case of a touch display, the display can be a capacitive touch screen or a resistive touch screen, which supports single-point and multi-point touch operations. The support of single-point and multi-point touch operations means that the touch display can sense touch operations generated at one or more positions on the touch display and send the sensed touch operations to the processor for calculation and processing.

A health module 31034, on which an application program based on a sports training class corresponding to the operating system may be installed, the application program may provide a function of downloading and displaying sports advice from the cloud service platform, and in addition, the application program further includes a function of filling in physical condition data of the user, including but not limited to medical history of the user, height and weight of the user, daily blood pressure value, body temperature value, and leg shape.

Referring to fig. 16, an embodiment of the present application provides a detecting device 3101, where the detecting device 3101 is a detecting device in the training management system. This detection device 3101 may be applied on wearable devices including, but not limited to, smart bracelets, smart watches, smart shoes, smart socks, smart clothing, smart hats, smart glasses.

The components of the detecting device 3101 are electrically connected to each other directly or indirectly to achieve data transmission or interaction. For example, the components may be electrically connected to each other via one or more communication buses or signal lines. The detection device 3101 includes:

an obtaining module 31011, configured to obtain first motion data of a user; and also for acquiring second motion data.

A processing module 31012, configured to obtain motion estimation information according to the first motion data of the user. The processing module 31012 may be an integrated circuit chip having signal processing capabilities. The Processor may be a general-purpose Processor, including a Central Processing Unit (CPU), a Network Processor (NP), and the like; but may also be a Digital Signal Processor (DSP)), an Application Specific Integrated Circuit (ASIC), an off-the-shelf programmable gate array (FPGA) or other programmable logic device, discrete gate or transistor logic, discrete hardware components.

A communication module 31013 for sending the motion estimation information to the server. And is further configured to send the second motion data to the server.

The Memory module 31014 includes, but is not limited to, Random Access Memory (RAM), Read Only Memory (ROM), Programmable Read-Only Memory (PROM), Erasable Read-Only Memory (EPROM), electrically Erasable Read-Only Memory (EEPROM), and the like.

Referring to fig. 17, an embodiment of the present application provides a server 3102, where the server 3102 is a server in the training management system. The server may include, but is not limited to, a web server, an ftp (file transfer protocol) server, and the like. The various elements of the server 3102 are electrically connected, directly or indirectly, to each other to enable data transfer or interaction. For example, the components may be electrically connected to each other via one or more communication buses or signal lines. The server 3102 may include:

a communication module 31021 for receiving the body state information and the motion estimation information.

A processing module 31022 for generating an exercise plan based on the body state information and the exercise assessment information;

the processing module 31022 is further configured to compare the second motion data of the user acquired by the detection device with the motion plan, and obtain a control policy;

the communication module 31021 is further configured to send the control strategy to the orthotic device.

A storage module 31023, configured to store a database in which the body data of the user is stored. The physical data may be diagnostic information, medical history information, drug history information, lifestyle information, physical examination information and/or laboratory examination information of the user. The information of the physical examination comprises height, weight, diastolic pressure, systolic pressure and/or heart rate, and the information of the laboratory examination comprises blood fat, blood sugar and/or Holter. (the part can effectively solve the cause of the eight running postures of the patient, such as self-problem). The storage database may also include a control policy database.

Referring to fig. 18, an orthotic device 3104 is provided according to an embodiment of the present application. The orthotic device 3104 trains an orthotic device in a management system. The corrective device 3104 includes, but is not limited to, a massage cushion, a massage chair, an electromagnetic massage apparatus, an electromagnetic wave therapeutic apparatus. The components of the orthotic device 3104 are electrically coupled to each other, directly or indirectly, to enable data transfer or interaction. For example, the components may be electrically connected to each other via one or more communication buses or signal lines.

The orthotic device 3104 comprises:

a communication module 31041 for receiving the control policy from the server.

An execution module 31042 for correcting the user's motion state according to the control strategy.

In the several embodiments provided in the present application, it should be understood that the disclosed system, apparatus and method may be implemented in other manners. For example, the above-described apparatus embodiments are merely illustrative, and for example, the division of the unit is only one logical functional division, and other divisions may be realized in practice, for example, a plurality of units or components may be combined or integrated into another system, or some features may be omitted, or not executed. In addition, the shown or discussed mutual coupling or direct coupling or communication connection may be an indirect coupling or communication connection through some interfaces, devices or units, and may be in an electrical, mechanical or other form.

The units described as separate parts may or may not be physically separate, and parts displayed as units may or may not be physical units, may be located in one place, or may be distributed on a plurality of network units. Some or all of the units can be selected according to actual needs to achieve the purpose of the solution of the embodiment.

In addition, functional units in the embodiments of the present application may be integrated into one processing unit, or each unit may exist alone physically, or two or more units are integrated into one unit. The integrated unit can be realized in a form of hardware, and can also be realized in a form of a software functional unit.

It will be appreciated that the scope of protection extends to such programs and in addition to computer readable means having messages therein; such computer readable storage means contain program code means for performing one or more steps of the method when the program is run on a server or a mobile device or any suitable programmable device. The hardware device may be any kind of device that is programmable including, for example, any kind of computer, such as a server or personal computer, etc., or any combination thereof. The apparatus may further comprise means, which may be, for example, a hardware device, such as an application-specific integrated circuit (ASIC), a field-programmable gate array (FPGA), or a combination of hardware and software devices, such as an ASIC and an FPGA, or at least one processing module and at least one memory having software modules located therein. Thus, the apparatus may comprise both hardware and software means. The method embodiments described herein may be implemented in hardware and software. The apparatus may also include software means. Alternatively, embodiments may be implemented on different hardware devices, e.g., using multiple CPUs.

Embodiments herein may include hardware and software elements. Embodiments implemented in software include, but are not limited to, firmware, resident software, microcode, and the like. The functions performed by the various modules described herein may be implemented in other modules or combinations of other modules. For the purposes of this description, a computer-usable or computer readable medium can be any apparatus that can contain, store, communicate, propagate, or transport the program for use by or in connection with the instruction execution system, apparatus, or device.

The medium can be an electronic, magnetic, optical, electromagnetic, infrared, or semiconductor system (or apparatus or device) or a propagation medium. Examples of a computer-readable medium include a semiconductor or solid state memory, magnetic tape, a removable computer diskette, a Random Access Memory (RAM), a read-only memory (ROM), a rigid magnetic disk and an optical disk. Current examples of optical disks include compact disk read only memory (CD-ROM), compact disk read/write (CD-R/W), and DVD.

A data processing system suitable for storing and/or executing program code will include at least one processing module coupled directly or indirectly to memory elements through a system bus. The memory elements can include local memory employed during actual execution of the program code, bulk storage, and cache memories which provide temporary storage of at least some program code in order to reduce the number of times code must be retrieved from bulk storage during execution.

Input/output (I/O) devices (including but not limited to keyboards, displays, pointing devices, etc.) can be coupled to the system either directly or through intervening I/O controllers. Network adapters may also be coupled to the system to enable the data processing system to become coupled to other data processing systems or remote printers or storage devices through intervening private or public networks. Modems, cable modem and Ethernet cards are just a few of the currently available types of network adapters.

A representative hardware environment for implementing embodiments may include a hardware configuration of an information handling/computer system in accordance with embodiments herein. The system herein includes at least one processing module or Central Processing Unit (CPU). The CPUs are interconnected via a system bus to various devices such as Random Access Memory (RAM), read-only memory (ROM), and input/output (I/O) adapters. The I/O adapter may connect to peripheral devices such as disk units and tape drives, or other program storage devices that are readable by the system. The system can read inventive instructions on the program storage device and follow these instructions to perform the methods of the embodiments herein.

The system also includes user interface adapters that connect a keyboard, mouse, speakers, microphone, and/or other user interface devices, such as a touch screen device (not shown), to the bus to gather user input. In addition, a communication adapter connects the bus to a data processing network, and a display adapter connects the bus to a display device, which may be implemented, for example, as an output device such as a monitor, printer, or transmitter. The foregoing description has been given with reference to various embodiments. Those of ordinary skill in the art and technology to which this application pertains will appreciate that alterations and changes in the described structures and methods of operation can be practiced without meaningfully departing from the principle, spirit and scope.

Claims

1. A method of body condition feedback, comprising:

2. The physical status feedback method according to claim 1,

3. The physical status feedback method according to claim 2,

4. The physical status feedback method according to claim 2,

5. The method of claim 2, wherein said acquiring real-time gait data comprises:

6. The body condition feedback method of claim 2, wherein said performing the gait correction scenario comprises:

7. The physical status feedback method according to claim 1,

when the physical condition data is motion data and/or physiological data,

the preset standard data is a preset health index reference value;

the feedback response includes sending a health prompt.

8. The physical status feedback method according to claim 7,

9. The physical status feedback method according to claim 1,

when the physical status data is physical status information,

the preset standard data is preset motion evaluation information,

the feedback response includes giving a corrective measure.

10. A body condition feedback system, comprising: