CN108074633B

CN108074633B - Exercise coordination monitoring method based on daily activities and wearable device

Info

Publication number: CN108074633B
Application number: CN201711450567.9A
Authority: CN
Inventors: 杨婷婷
Original assignee: Guangdong Genius Technology Co Ltd
Current assignee: Guangdong Genius Technology Co Ltd
Priority date: 2017-12-27
Filing date: 2017-12-27
Publication date: 2021-12-21
Anticipated expiration: 2037-12-27
Also published as: CN108074633A

Abstract

The invention relates to the technical field of electronic equipment, in particular to a movement coordination monitoring method based on daily activities and wearable equipment, comprising the following steps: the wearable device sends daily activity data of a user of the wearable device to the service device, so that the service device analyzes the daily activity data to obtain a comprehensive exercise coordination score of the user of the wearable device, receives a prompt message sent by the service device when judging that the comprehensive exercise coordination score is lower than a normal score threshold value, and then outputs an exercise training course to a display interface of the wearable device according to the prompt message, so that the user of the wearable device performs exercise coordination improvement training according to the exercise training course. Therefore, the embodiment of the invention can effectively monitor the movement coordination condition of the daily activities of the children.

Description

Exercise coordination monitoring method based on daily activities and wearable device

Technical Field

The invention relates to the technical field of electronic equipment, in particular to a movement coordination monitoring method based on daily activities and wearable equipment.

Background

The coordination of exercise is mainly embodied in that each part of the body can cooperate with each other in the exercise process, reasonably and effectively complete specific actions, and is an important aspect of reflecting the physical quality. Especially for children in the growth and development stage, the quality of the motor coordination directly influences whether the children can normally learn and live. However, as the burden of the classroom is increased, more and more children stay indoors for a long time and lack of movement, which leads to the deterioration of the movement coordination of the children and seriously affects the growth and development of the children. It can be seen that monitoring the motor coordination of a child's daily activities is important to the healthy growth of the child.

Disclosure of Invention

The embodiment of the invention discloses a movement coordination monitoring method based on daily activities and wearable equipment, which can effectively monitor the movement coordination condition of the daily activities of children.

The wearable device sends daily activity data of a user of the wearable device to a service device, so that the service device analyzes the daily activity data to obtain a comprehensive exercise coordination score of the user of the wearable device; wherein the daily activity data is motion data collected by an acceleration sensor of the wearable device;

the wearable device receives a prompt message returned by the service device, wherein the prompt message is used for prompting the wearable device to output a motion training course for improving the motion coordination of a user of the wearable device, and the prompt message is sent by the service device when judging that the motion coordination comprehensive score is lower than a normal score threshold;

and the wearable equipment outputs a motion training course to a display interface of the wearable equipment according to the prompt message, so that a user of the wearable equipment performs motion coordination improvement training according to the motion training course.

As an optional implementation manner, in the first aspect of the embodiment of the present invention, before the wearable device sends the daily activity data of the user of the wearable device to the service device, the method further includes:

the wearable device control acceleration sensor collects first action data of a user of the wearable device;

the wearable device carries out data preprocessing on the first action data to obtain second action data; wherein the data preprocessing comprises at least noise reduction processing and normalization processing of the first motion data by the wearable device;

and the wearable device performs feature recognition on the second action data to acquire daily activity data corresponding to the type of the daily activity to be acquired, wherein the type of the daily activity to be acquired is sent to the wearable device by a mobile terminal in communication connection with the wearable device.

As an optional implementation manner, in the first aspect of the embodiment of the present invention, after the wearable device receives the prompt message returned by the service device, the method further includes:

the wearable device acquires a course schedule of a user of the wearable device;

the wearable equipment selects a non-school time period contained in the school time period as a target time period according to the course schedule;

the wearable device judges whether the current time belongs to the target time period;

and if the current time belongs to the target time period, the wearable device executes the exercise training course to a display interface of the wearable device according to the prompt message, so that a user of the wearable device performs exercise coordination improvement training according to the exercise training course.

As an optional implementation manner, in the first aspect of the embodiment of the present invention, the prompting message at least includes at least one portion to be trained of a user of the wearable device and a priority level corresponding to each portion to be trained;

the wearable device outputs a motion training course to a display interface of the wearable device according to the prompt message, so that the user of the wearable device performs motion coordination improvement training according to the motion training course comprises:

the wearable device searches for at least one training course matched with a target part to be trained with the highest priority in the at least one part to be trained according to the prompt message;

the wearable device obtains the duration of the target time period, and selects a target training course matched with the duration from the at least one training course;

the wearable device outputs the target training course to a display interface of the wearable device as a motion training course, so that a user of the wearable device performs motion coordination improvement training according to the motion training course.

As an optional implementation manner, in the first aspect of the embodiment of the present invention, after the wearable device outputs the target training course as a motion training course to a display interface of the wearable device, so that a user of the wearable device performs a motion coordination improvement training according to the motion training course, the method further includes:

the wearable device acquires the amount of motion consumed by a user of the wearable device to complete the exercise training course;

the wearable equipment judges whether the motion quantity meets a preset target motion quantity;

if the motion amount does not meet the preset target motion amount, the wearable device calculates a motion amount difference value between the motion amount and the target motion amount;

the wearable device sends an acquisition request containing the motion amount difference value to the service device, wherein the acquisition request is used for acquiring a supplementary training course matched with the motion amount difference value.

A second aspect of an embodiment of the present invention discloses a wearable device, including:

the first sending unit is used for sending daily activity data of a user of the wearable device to a service device so that the service device analyzes the daily activity data to obtain a comprehensive exercise coordination score of the user of the wearable device; wherein the daily activity data is motion data collected by an acceleration sensor of the wearable device;

a receiving unit, configured to receive a prompt message returned by the service device, where the prompt message is used to prompt the wearable device to output a motion training course for improving the motion coordination of a user of the wearable device, and the prompt message is sent by the service device when it is determined that the motion coordination comprehensive score is lower than a normal score threshold;

and the output unit is used for outputting a motion training course to a display interface of the wearable device according to the prompt message, so that a user of the wearable device can perform motion coordination improvement training according to the motion training course.

As an optional implementation manner, in a second aspect of the embodiment of the present invention, the wearable device further includes:

the control unit is used for controlling the acceleration sensor to acquire first action data of a user of the wearable equipment;

the preprocessing unit is used for preprocessing the first action data to obtain second action data; wherein the data preprocessing comprises at least noise reduction processing and normalization processing of the first motion data by the wearable device;

the characteristic identification unit is used for carrying out characteristic identification on the second action data so as to obtain daily activity data corresponding to the type of daily activity to be acquired and triggering the first sending unit to start; the type of the daily activities to be collected is sent to the wearable device by the mobile terminal in communication connection with the wearable device.

the first acquisition unit is used for acquiring a course schedule of a user of the wearable device after the receiving unit receives the prompt message returned by the service device;

the selection unit is used for selecting non-school time periods contained in the school time periods as target time periods according to the course schedule;

the first judging unit is used for judging whether the current time belongs to the target time period or not;

the output unit is specifically configured to, when the receiving unit receives the prompt message returned by the service device and after the first determining unit determines that the current time belongs to the target time period, output the exercise training course to a display interface of the wearable device according to the prompt message, so that a user of the wearable device performs exercise coordination improvement training according to the exercise training course.

As an optional implementation manner, in the second aspect of the embodiment of the present invention, the prompting message at least includes at least one portion to be trained of the user of the wearable device and a priority level corresponding to each portion to be trained;

the output unit includes:

a searching subunit, configured to search, when the receiving unit receives the prompt message returned by the service device and after the first determining unit determines that the current time belongs to the target time period, at least one training course matched with a target to-be-trained part with a highest priority among the at least one to-be-trained part according to the prompt message;

the selecting subunit is used for acquiring the duration of the target time period and selecting a target training course matched with the duration from the at least one training course;

the output subunit is configured to output the target training course as a motion training course to a display interface of the wearable device, so that a user of the wearable device performs motion coordination improvement training according to the motion training course.

a second obtaining unit, configured to obtain, after the output subunit outputs the target training course to a display interface of the wearable device as a motion training course, an amount of motion consumed by a user of the wearable device to complete the motion training course after performing motion coordination improvement training according to the motion training course by the user of the wearable device;

a second determination unit configured to determine whether the amount of motion satisfies a preset target amount of motion;

a calculating unit configured to calculate a motion amount difference between the motion amount and the target motion amount when the second judging unit judges that the motion amount does not satisfy the preset target motion amount;

and the second sending unit is used for sending an acquisition request containing the motion amount difference value to the service equipment, and the acquisition request is used for acquiring a supplementary training course matched with the motion amount difference value.

A third aspect of an embodiment of the present invention discloses another wearable device, including:

a memory storing executable program code;

a processor coupled with the memory;

the processor calls the executable program code stored in the memory to execute the exercise coordination monitoring method based on daily activities disclosed by the first aspect of the embodiment of the invention.

A fourth aspect of the embodiments of the present invention discloses a computer-readable storage medium storing a computer program, wherein the computer program enables a computer to execute the exercise coordination monitoring method based on daily activities disclosed in the first aspect of the embodiments of the present invention.

A fifth aspect of embodiments of the present invention discloses a computer program product, which, when run on a computer, causes the computer to perform some or all of the steps of any one of the methods of the first aspect.

A sixth aspect of the present embodiment discloses an application publishing platform, where the application publishing platform is configured to publish a computer program product, where the computer program product is configured to, when running on a computer, cause the computer to perform part or all of the steps of any one of the methods in the first aspect.

Compared with the prior art, the embodiment of the invention has the following beneficial effects:

in the embodiment of the invention, the wearable device sends the daily activity data of the user of the wearable device to the service device, so that the service device analyzes the daily activity data to obtain the comprehensive exercise coordination score of the user of the wearable device, receives the prompt message sent by the service device when judging that the comprehensive exercise coordination score is lower than the normal score threshold, and then outputs the exercise training course to the display interface of the wearable device according to the prompt message, so that the user of the wearable device performs exercise coordination improvement training according to the exercise training course. Therefore, the embodiment of the invention can effectively monitor the movement coordination condition of the daily activities of the children.

Drawings

In order to more clearly illustrate the technical solutions in the embodiments of the present invention, the drawings needed to be used in the embodiments will be briefly described below, and it is obvious that the drawings in the following description are only some embodiments of the present invention, and it is obvious for those skilled in the art that other drawings can be obtained according to these drawings without creative efforts.

FIG. 1 is a schematic flow chart of a method for monitoring exercise coordination based on daily activities, according to an embodiment of the present invention;

FIG. 2 is a schematic flow chart of another exercise coordination monitoring method based on daily activities, which is disclosed in the embodiment of the invention;

FIG. 3 is a schematic flow chart of another exercise coordination monitoring method based on daily activities, according to an embodiment of the present disclosure;

fig. 4 is a schematic structural diagram of a wearable device disclosed in the embodiment of the invention;

FIG. 5 is a schematic structural diagram of another wearable device disclosed in the embodiments of the present invention;

FIG. 6 is a schematic structural diagram of another wearable device disclosed in the embodiments of the present invention;

fig. 7 is a schematic structural diagram of another wearable device disclosed in the embodiment of the present invention.

Detailed Description

The technical solutions in the embodiments of the present invention will be clearly and completely described below with reference to the drawings in the embodiments of the present invention, and it is obvious that the described embodiments are only a part of the embodiments of the present invention, and not all of the embodiments. All other embodiments, which can be derived by a person skilled in the art from the embodiments given herein without making any creative effort, shall fall within the protection scope of the present invention.

It is to be noted that the terms "comprises" and "comprising" and any variations thereof in the embodiments and drawings of the present invention are intended to cover non-exclusive inclusions. For example, a process, method, system, article, or apparatus that comprises a list of steps or elements is not limited to only those steps or elements listed, but may alternatively include other steps or elements not listed, or inherent to such process, method, article, or apparatus.

The embodiment of the invention discloses a movement coordination monitoring method based on daily activities and wearable equipment, which can effectively monitor the movement coordination condition of the daily activities of children. The following are detailed below.

Example one

Referring to fig. 1, fig. 1 is a schematic flow chart of a method for monitoring exercise coordination based on daily activities according to an embodiment of the present invention. As shown in fig. 1, the method for monitoring the motor coordination based on daily activities may include the following operations:

101. the wearable device sends the daily activity data of the user of the wearable device to the service device, so that the service device analyzes the daily activity data to obtain the comprehensive sports coordination score of the user of the wearable device.

In the embodiment of the invention, the wearable device can trigger the acceleration sensor to acquire the daily activity data of the user of the wearable device, preferably, the acceleration sensor can be a nine-axis acceleration sensor, wherein the nine-axis acceleration sensor consists of a three-axis gyroscope, a three-axis accelerometer and a three-axis magnetic field sensor, and the daily activity data of the user in the daily activity can be accurately acquired through the nine-axis acceleration sensor. After the daily activity data of the user of the wearable device is sent to the service device, optionally, the wearable device can also send the physical sign data of the user of the wearable device, such as age, sex, height, weight and the like, to the service device, and the service device calculates the comprehensive score of the movement coordination of the user by combining the daily activity data and the physical sign data sent by the wearable device, so that the calculation result is more accurate and reliable. And after the wearable device sends the collected daily activity data and the physical sign data of the user to the service device, the service device may compare each kind of data in the acquired daily activity data with the corresponding big data in the database of the service device, to obtain a comprehensive score of the exercise coordination of the user of the wearable device, for example, the user of the wearable device can be a child, the child is 3 years old, the daily activity data can comprise the walking and falling frequency, the cycling and falling frequency and the skipping rope failure frequency of the child collected every month, and then for the activity data of the walking and falling frequency, big data shows that 2-3 years old children are in average 10 times of the walking and falling frequency, and then if the walking and falling frequency of a single user is higher than 50% of the average time of the walking and falling frequency, the user can be judged to be slight sense-of-coordination disorder; if the average frequency is higher than 50-100%, the feeling can be judged to be moderate sense coordination disorder; if the average is higher than 100% of the average, the patient can be judged to have severe sensory coordination disorder. Then, when the number of the child wrestling during walking is 4, the service device may determine that the child is slightly sensory coordination disorder for the data of the number of the child wrestling during walking, and then the service device may sequentially determine coordination conditions corresponding to the two data of the number of the child riding, falling and rope skipping failure. Optionally, when three slight sensory coordination imbalances exist in the three data of the number of times of the child's walking falls, the number of times of the child's riding falls and the number of times of the child's rope skipping failures, the service device determines that the comprehensive sports coordination score of the child is lower than a normal score threshold; when two or more moderate sensory coordination imbalances exist in the three data of the walking and falling frequency, the riding and falling frequency and the rope skipping failure frequency of the child, the service equipment judges that the movement coordination comprehensive score of the child is lower than a normal score threshold value; and when one or more severe sensory coordination disorders exist in the three data of the number of times of the child's walking falls, the number of times of the child's cycling falls and the number of times of the child's rope skipping failures, the service equipment judges that the comprehensive sports coordination score of the child is lower than the normal score threshold. The daily activity data may be motion data collected by an acceleration sensor of the wearable device, which is not limited in the present invention.

102. The wearable device receives the prompt message returned by the service device.

In an embodiment of the present invention, the prompt message may be used to prompt the wearable device to output a motion training course for improving the motion coordination of the user of the wearable device, and the prompt message is sent by the service device when it is determined that the motion coordination composite score is lower than a normal score threshold. Optionally, when the service device determines that the motion coordination comprehensive score is lower than the normal score threshold, the service device may further send a reminding message to the monitoring terminal of the wearable device, where the reminding message is used to remind a user of the monitoring terminal of paying attention to the motion coordination problem of the user of the wearable device.

As an optional embodiment, after receiving the prompt message returned by the service device, the wearable device may further analyze a behavior trajectory of the user of the wearable device for the wearable device according to the prompt message, to obtain a daily usage habit of the user for the wearable device, where the daily usage habit may include a time period, a time length, a frequency, and the like of the user using the wearable device, and set a time period, a time length, and a frequency of outputting a exercise training course for improving exercise coordination of the user of the wearable device daily or weekly according to the daily usage habit. Therefore, the embodiment of the invention can set the time period, the duration and the frequency of the exercise training course according to the daily use habit of the user of the wearable device, so that the exercise training course can be output more reasonably.

103. The wearable device outputs the exercise training course to a display interface of the wearable device according to the prompt message, so that a user of the wearable device can perform exercise coordination improvement training according to the exercise training course.

In this embodiment of the present invention, when the wearable device outputs the motion training tutorial to the display interface of the wearable device, the presentation form of the motion training tutorial may include, but is not limited to, one or more of video, text, picture, or voice, and the embodiment of the present invention is not limited thereto. Optionally, if the exercise tutorial is output to the display interface of the wearable device in the form of video or voice, the wearable device may acquire noise information of the surrounding environment, and adjust the playing volume of the exercise training tutorial according to the acquired noise information; and if the motion course is output to a display interface of the wearable device in the form of video, text or pictures, the wearable device can sense the ambient light condition through the ambient light sensor, acquire an ambient brightness value of the ambient environment, and judge whether the ambient brightness value is higher than a preset standard brightness threshold, if so, the wearable device increases the brightness value of the output interface of the wearable device according to the ambient brightness value, otherwise, the wearable device decreases the brightness value of the output interface of the wearable device according to the ambient brightness value. Therefore, through the embodiment of the invention, on one hand, the playing volume of the sports training course can be automatically adjusted according to the noise of the surrounding environment, so that the phenomenon that the playing volume is not proper under certain environments can be avoided, unnecessary troubles are caused to users, and the user experience is improved; on the other hand, the brightness value of the display interface of the wearable device can be adjusted according to the ambient light environment, so that the eyesight of a user of the wearable device can be protected, and the effect of reducing the power consumption of the wearable device can be achieved.

As an optional implementation manner, before the wearable device outputs the exercise training tutorial to the display interface of the wearable device, the physical sign sensor may be triggered to detect a physical sign value of a user of the wearable device, and determine whether the physical sign value of the user meets a preset condition, if so, the wearable device outputs the exercise training tutorial to the display interface of the wearable device; otherwise, if the result is not satisfied, the wearable device does not output the exercise training course to a display interface of the wearable device, and adds the exercise training course to a list to be output, where the sign value may include a heart rate value and/or a pulse value, which is not limited in the embodiment of the present invention. Further, if the physical sign value of the user is judged to meet the preset condition, the wearable device can also obtain the noise value of the surrounding environment, judge whether the noise value is higher than a preset noise threshold value, and if the noise value is higher than the preset noise threshold value, the wearable device does not output the exercise training course to the display interface of the wearable device. Therefore, according to the embodiment of the invention, whether the current time is suitable for the user to carry out exercise coordination training according to the exercise training course can be determined according to the analysis results of the body state of the user of the wearable device and the noise condition of the surrounding environment of the wearable device, so that the mode of outputting the exercise training course is more reasonable, and the experience degree of the user is further improved.

As an optional embodiment, after the wearable device outputs the exercise training tutorial to the display interface of the wearable device according to the prompt message, whether a pause instruction triggered by the user of the wearable device is received or not can be detected, the pause instruction is used to trigger the wearable device to stop outputting the athletic training tutorial, and if the pause instruction is detected, the wearable device may record the outputted progress of the athletic training tutorial when the user triggers a pause instruction, and adding the content which is not output in the exercise training course into a cache list for caching, and once detecting the output instruction triggered by the user aiming at the exercise training course, the wearable device may output content in the cache list that was not output in the athletic training tutorial to a display interface of the wearable device, so that the user of the wearable device continues to perform the exercise coordination improvement training according to the exercise training course. Therefore, the embodiment of the invention can save the output progress in time after the user of the wearable device pauses the exercise training course, and buffer the content which is not output, and once the user selects to continue training, the content which is not output can be quickly output to the display interface, thereby improving the efficiency of the wearable device outputting the exercise training course.

Therefore, the method described in fig. 1 can effectively monitor the exercise coordination situation of the daily activities of the child, and further, the physical sign data of the user of the wearable device, such as age, sex, height, weight and the like, can be sent to the service device, and the service device calculates the exercise coordination comprehensive score of the user by combining the daily activity data and the physical sign data sent by the wearable device, so that the calculation result is more accurate and reliable.

In addition, the time period, the duration and the frequency of the exercise training course can be set according to the daily use habit of the user of the wearable device, so that the mode of outputting the exercise training course is more reasonable.

In addition, on one hand, the playing volume of the sports training course can be automatically adjusted according to the noise of the surrounding environment, so that the phenomenon that the playing volume is not proper under certain environments can be avoided, unnecessary trouble is caused to a user, and the user experience is improved; on the other hand, the brightness value of the display interface of the wearable device can be adjusted according to the ambient light environment, so that the eyesight of a user of the wearable device can be protected, and the effect of reducing the power consumption of the wearable device can be achieved.

In addition, whether the current moment is suitable for the user to carry out the exercise coordination training according to the exercise training course can be determined according to the analysis result of the body state of the user of the wearable device and the noise condition of the surrounding environment of the wearable device, so that the mode of outputting the exercise training course is more reasonable, and the experience degree of the user is improved.

In addition, the output progress can be timely saved after the user of the wearable device pauses the exercise training course, the content which is not output is cached, once the user selects to continue training, the content which is not output can be quickly output to the display interface, and the efficiency of the wearable device for outputting the exercise training course is improved.

Example two

Referring to fig. 2, fig. 2 is a flowchart illustrating another exercise coordination monitoring method based on daily activities according to an embodiment of the present invention. As shown in fig. 2, the exercise coordination monitoring method based on daily activities may include the following steps:

201. the wearable device controls an acceleration sensor to acquire first motion data of a user of the wearable device.

In the embodiment of the invention, the wearable device may control the acceleration sensor to acquire the first motion data of the user of the wearable device within a preset acquisition period, wherein the first motion data may include but is not limited to one or more of motion direction, angular velocity, acceleration, magnetic induction and the like, and the information such as the motion state, the motion track and the like of the remote controller may be objectively reflected by the first motion data.

202. And the wearable equipment performs data preprocessing on the first action data to obtain second action data.

In an embodiment of the present invention, the data preprocessing may include noise reduction processing and normalization processing of the wearable device on the first motion data, where the wearable device performs the noise reduction processing on the first motion data, that is, the wearable device removes noise of the collected first motion data. Therefore, according to the embodiment of the invention, the environmental factors interfering the process of acquiring the first action data can be removed by preprocessing the first action data acquired by the acceleration sensor, so that the accuracy of acquiring the data by the wearable device is improved.

203. And the wearable device performs feature recognition on the second action data to acquire daily activity data corresponding to the type of the daily activity to be acquired, wherein the type of the daily activity to be acquired is sent to the wearable device by the mobile terminal in communication connection with the wearable device.

In the embodiment of the invention, the wearable device can perform feature recognition on the second motion data obtained after the preprocessing, specifically, the wearable device can perform signal processing on the second motion data to obtain corresponding motion waveforms, perform data segmentation on the motion waveforms to obtain representative data waveforms, wherein the data segmentation is to segment some waveforms with unobvious periodic features to find out periodic signals with amplitudes, so as to obtain representative data waveforms; and then, the wearable device extracts the characteristic value of the data waveform to extract a target characteristic value, and the target characteristic value is matched with the characteristic value of the daily activity data corresponding to the type of the daily activity to be acquired, which is sent to the wearable device by the mobile terminal. It should be noted that the type of the daily activities to be collected, which are sent to the wearable device by the mobile terminal in communication connection with the wearable device, may be the most typical action habit which can reflect the movement coordination most, or may be the most common action habit selected by the user of the mobile terminal from the daily behavior habits of the user of the wearable device, and the embodiment of the present invention is not limited. Therefore, the embodiment of the invention can acquire the daily activity data corresponding to the type of the daily activity to be acquired in a mode of carrying out feature recognition on the data, so that the acquired data is more typical and representative.

The exercise coordination monitoring method based on daily activities further includes steps 204-206, and for the description of steps 204-206, please refer to the detailed description of steps 101-103 in the first embodiment, which is not repeated in the embodiments of the present invention.

Therefore, the method described in fig. 2 can effectively monitor the exercise coordination situation of the daily activities of the child, and further, the physical sign data of the user of the wearable device, such as age, sex, height, weight and the like, can be sent to the service device, and the service device calculates the exercise coordination comprehensive score of the user by combining the daily activity data and the physical sign data sent by the wearable device, so that the calculation result is more accurate and reliable.

In addition, the first action data collected by the acceleration sensor can be preprocessed, environmental factors in the process of interference collection of the first action data are removed, and the accuracy of data collection of the wearable device is improved.

In addition, the daily activity data corresponding to the type of the daily activity to be acquired can be acquired in a mode of carrying out feature recognition on the data, so that the acquired data are more typical and representative.

EXAMPLE III

Referring to fig. 3, fig. 3 is a flowchart illustrating another exercise coordination monitoring method based on daily activities according to an embodiment of the present invention. As shown in fig. 3, the exercise coordination monitoring method based on daily activities may include the following steps:

in the embodiment of the present invention, the method for monitoring exercise coordination based on daily activities further includes steps 301 to 305, and for the description of steps 301 to 305, please refer to the detailed description of steps 201 to 205 in the second embodiment, which is not repeated herein.

306. The wearable device obtains a schedule of courses for a user of the wearable device.

307. And the wearable equipment selects a non-school time period contained in the school time period as a target time period according to the course schedule.

In the embodiment of the present invention, the study time period includes a lesson time period and a non-lesson time period, and optionally, the course scheduling table may include four modules, namely, a title, a week, a course sequence and a course, where each course corresponds to a fixed lesson time period, and then the wearable device may select a remaining time period (non-lesson time period) from the course scheduling table, except for the time periods corresponding to all the courses, and use the remaining time period (non-lesson time period) as the target time period.

308. The wearable device judges whether the current time belongs to the target time period, if so, step 309 is executed, otherwise, if not, the process is ended.

309. The wearable device outputs the exercise training course to a display interface of the wearable device according to the prompt message, so that a user of the wearable device performs exercise coordination improvement training according to the exercise training course.

As an alternative embodiment, the wearable device outputting the exercise training course to a display interface of the wearable device according to the prompt message, so that the user of the wearable device performs the exercise coordination improvement training according to the exercise training course may include:

the wearable device obtains the duration of the target time period, and selects a target training course matched with the duration from at least one training course;

the wearable device outputs the target training course as a motion training course to a display interface of the wearable device, so that a user of the wearable device performs motion coordination improvement training according to the motion training course.

In an embodiment of the present invention, the prompt message may include at least one portion to be trained of a user of the wearable device and a priority level corresponding to each portion to be trained.

In the embodiment of the invention, the movement coordination can be reflected in the effect that all parts of the human body are matched with each other to finish the action, so the movement coordination of the human body can be improved by a movement training course aiming at all parts of the human body, and different human bodies need to be improved differently. For example, the wearable device may be a telephone watch, the user of the wearable device is a child, the telephone watch may determine that an arm is the highest priority of the parts to be trained for the child according to the prompt message sent by the service device, the telephone watch may use the arm as a keyword to obtain at least one training course for the movement coordination of the arm from the service device, because the child needs to go to school for class, in order to not disturb the daily class progress of the child and fully utilize the time interval after the end of the class, the telephone watch can also determine the non-class time interval of the child according to the class schedule of the child, and taking the non-lesson time period as a target time period, and selecting the sports training course which needs to be output to the display interface of the telephone watch according to the time length of the target time period, so that the child can finish the sports training course in the lesson after the lesson is finished. Therefore, according to the embodiment of the invention, a plurality of training courses matched with the body parts which are most urgently required to be trained currently for the user can be selected according to the actual condition of the user of the wearable device, namely the condition of the self motion coordination of the user, and the motion training course matched with the duration of the target time period is selected from the plurality of training courses, so that the process of pushing the motion training course is more targeted, the requirements of different users in different time periods can be met, and the user experience is improved.

310. The wearable device obtains an amount of motion consumed by a user of the wearable device to complete a motion training course.

In the embodiment of the invention, the wearable device can acquire the amount of exercise of the part to be trained corresponding to the exercise training course, namely the amount of exercise consumed by training the part is acquired through application software installed in the wearable device and used for monitoring the exercise condition of a user, namely the amount of exercise consumed by the user of the wearable device to complete the exercise training course; or, the wearable device may also acquire, through the acceleration sensor, motion parameters of the user completing the motion training course, including a completion duration, a variation of the angle value, a variation of the displacement, and the like, and calculate, according to the motion parameters, an amount of motion consumed by the user of the wearable device to complete the motion training course, which is not limited in the present invention.

Optionally, after obtaining the amount of exercise consumed by the user of the wearable device to complete the exercise training course, the wearable device may further send the amount of exercise to the mobile terminal in communication connection with the wearable device in the form of a short message, so that the user of the mobile terminal can know the completion of the exercise training course by the user of the wearable device in time.

311. The wearable device determines whether the amount of motion meets a preset target amount of motion, if so, step 312 is executed, otherwise, if not, the process is ended.

In the embodiment of the present invention, the preset target amount of motion may be an average amount of motion consumed by a mass of users to complete the exercise training tutorial, and specifically, the wearable device may send an acquisition request to the service device, where the acquisition request is used to acquire the average amount of motion consumed by the mass of users to complete the exercise training tutorial, and after receiving information of the average amount of motion returned by the service device, store the information in the database; or, the preset target amount of motion may also be set according to the actual situation of the user, which is not limited in the embodiment of the present invention.

312. And the wearable equipment calculates the motion amount difference value between the motion amount and the target motion amount.

313. The wearable device sends an acquisition request containing the motion amount difference value to the service device, and the acquisition request is used for acquiring a supplementary training course matched with the motion amount difference value.

In the implementation of the present invention, the amount of motion corresponding to different exercise training courses is different, and the wearable device may send an acquisition request to the service device according to the amount of motion difference between the amount of motion and the target amount of motion calculated in step 312, where the acquisition request is used to acquire a supplementary training course matched with the amount of motion difference. Optionally, after receiving the supplementary training tutorial sent by the service device for the acquisition request, the wearable device may output a recommendation message on a display interface of the wearable device, where the recommendation message is used for recommending the user of the wearable device to use the supplementary training tutorial.

Therefore, through steps 310 to 313, a recommended training course matched with the difference value of the amount of exercise can be obtained according to the amount of exercise corresponding to the exercise training course, that is, a supplementary training course, a recommendation message for recommending that the user use the supplementary training course is output on a display interface, and the user determines whether to use the supplementary training course, so that the user of the wearable device can be ensured to complete a set exercise training course, and a proper supplementary training course can be recommended to the user after the user completes the amount of exercise required every day, and the experience of the user is improved.

Therefore, the method described in fig. 3 can effectively monitor the exercise coordination situation of the daily activities of the child, and further, the physical sign data of the user of the wearable device, such as age, sex, height, weight and the like, can be sent to the service device, and the service device calculates the exercise coordination comprehensive score of the user by combining the daily activity data and the physical sign data sent by the wearable device, so that the calculation result is more accurate and reliable.

In addition, according to the practical situation of the user of the wearable device, namely, aiming at the situation of the self motion coordination of the user, a plurality of training courses matched with the body parts which need training most urgently at present for the user are selected, and the motion training course matched with the duration of the target time period is selected from the plurality of training courses, so that the process of pushing the motion training course has pertinence, the requirements of different users in different time periods can be met, and the user experience is improved.

In addition, the recommended training course matched with the motion amount difference value can be obtained according to the motion amount corresponding to the motion training course, namely, the training course is supplemented, the recommendation message for recommending the user to use the supplementary training course is output on the display interface, and the user determines whether to use the supplementary training course, so that the user of the wearable device can be ensured to complete the established motion training course, the proper supplementary training course can be recommended to the user after the user completes the motion amount required every day, and the experience degree of the user is improved.

Example four

Referring to fig. 4, fig. 4 is a schematic structural diagram of a wearable device according to an embodiment of the present invention. As shown in fig. 4, the wearable device may include:

the first sending unit 401 is configured to send daily activity data of the user of the wearable device to the service device, so that the service device analyzes the daily activity data to obtain a comprehensive exercise coordination score of the user of the wearable device, and triggers the receiving unit 402 to start.

In the embodiment of the invention, the daily activity data is motion data collected by an acceleration sensor of the wearable device.

A receiving unit 402, configured to receive a prompt message returned by the service device, where the prompt message is used to prompt the wearable device to output a motion training course for improving the motion coordination of the user of the wearable device, and the prompt message is sent by the service device when it is determined that the motion coordination composite score is lower than a normal score threshold.

As an optional implementation manner, after the receiving unit 402 receives the prompt message returned by the service device, the behavior trajectory of the user of the wearable device with respect to the wearable device may be analyzed according to the prompt message, so as to obtain the daily usage habit of the user with respect to the wearable device, where the daily usage habit may include a time period, a time length, a frequency, and the like of the user using the wearable device, and the time period, the time length, and the frequency of outputting a exercise training course for improving the exercise coordination of the user of the wearable device every day or every week are set according to the daily usage habit. Therefore, the embodiment of the invention can set the time period, the duration and the frequency of the exercise training course according to the daily use habit of the user of the wearable device, so that the exercise training course can be output more reasonably.

An output unit 403, configured to output the exercise training course to a display interface of the wearable device according to the prompt message received by the receiving unit 402, so that a user of the wearable device performs exercise coordination improvement training according to the exercise training course.

In this embodiment of the present invention, when the output unit 403 outputs the exercise training tutorial to the display interface of the wearable device, the presentation form of the exercise training tutorial may include, but is not limited to, one or more of video, text, pictures, or voice, and the embodiment of the present invention is not limited thereto. Optionally, if the exercise tutorial is output to the display interface of the wearable device in the form of video or voice, the output unit 403 may acquire noise information of the surrounding environment, and adjust the playing volume of the exercise training tutorial according to the acquired noise information; and if the motion course is output to the display interface of the wearable device in the form of video, text, or picture, the output unit 403 may sense the ambient light condition through the ambient light sensor, obtain an ambient brightness value of the ambient environment, and determine whether the ambient brightness value is higher than a preset standard brightness threshold, if so, the output unit 403 increases the brightness value of the output interface of the wearable device according to the ambient brightness value, otherwise, if so, the output unit 403 decreases the brightness value of the output interface of the wearable device according to the ambient brightness value. Therefore, through the embodiment of the invention, on one hand, the playing volume of the sports training course can be automatically adjusted according to the noise of the surrounding environment, so that the phenomenon that the playing volume is not proper under certain environments can be avoided, unnecessary troubles are caused to users, and the user experience is improved; on the other hand, the brightness value of the display interface of the wearable device can be adjusted according to the ambient light environment, so that the eyesight of a user of the wearable device can be protected, and the effect of reducing the power consumption of the wearable device can be achieved.

As an optional implementation manner, before the output unit 403 outputs the exercise training tutorial to the display interface of the wearable device, the sign sensor may be triggered to detect a sign value of a user of the wearable device, and determine whether the sign value of the user meets a preset condition, if so, the output unit 403 outputs the exercise training tutorial to the display interface of the wearable device; otherwise, if the result is not satisfied, the output unit 403 does not output the exercise training course to the display interface of the wearable device, and adds the exercise training course to the list to be output, where the sign value may include a heart rate value and/or a pulse value, which is not limited in the embodiment of the present invention. Further, if it is determined that the physical sign value of the user meets the preset condition, the output unit 403 may further obtain a noise value of the surrounding environment, and determine whether the noise value is higher than a preset noise threshold, and if the noise value is higher than the preset noise threshold, the output unit 403 does not output the exercise training tutorial to the display interface of the wearable device. Therefore, according to the embodiment of the invention, whether the current time is suitable for the user to carry out exercise coordination training according to the exercise training course can be determined according to the analysis results of the body state of the user of the wearable device and the noise condition of the surrounding environment of the wearable device, so that the mode of outputting the exercise training course is more reasonable, and the experience degree of the user is further improved.

As an alternative embodiment, after the output unit 403 outputs the exercise training tutorial to the display interface of the wearable device according to the prompt message, it may also detect whether a pause instruction triggered by the user of the wearable device is received, the pause instruction is used to trigger the wearable device to stop outputting the athletic training tutorial, and if the pause instruction is detected, the output unit 403 may record the output progress of the athletic training tutorial when the user triggers a pause instruction, and adding the content which is not output in the exercise training course into a cache list for caching, and once detecting the output instruction triggered by the user aiming at the exercise training course, content not output in the athletic training course in the cache list may be output to a display interface of the wearable device, so that the user of the wearable device continues to perform the exercise coordination improvement training according to the exercise training course. Therefore, the embodiment of the invention can save the output progress in time after the user of the wearable device pauses the exercise training course, and buffer the content which is not output, and once the user selects to continue training, the content which is not output can be quickly output to the display interface, thereby improving the efficiency of the wearable device outputting the exercise training course.

Therefore, the wearable device described in fig. 4 can effectively monitor the exercise coordination situation of the daily activities of the child, and further, the physical sign data of the user of the wearable device, such as age, sex, height, weight and the like, can be sent to the service device, and the service device calculates the exercise coordination comprehensive score of the user by combining the daily activity data and the physical sign data sent by the wearable device, so that the calculation result is more accurate and reliable.

EXAMPLE five

Referring to fig. 5, fig. 5 is a schematic structural diagram of another wearable device according to an embodiment of the present invention, wherein the wearable device shown in fig. 5 is obtained by further optimizing the wearable device shown in fig. 4. Compared to the wearable device shown in fig. 4, the wearable device shown in fig. 5 may further include:

the control unit 404 is configured to control the acceleration sensor to acquire first motion data of a user of the wearable device, and provide the first motion data to the preprocessing unit 405.

In an embodiment of the present invention, the control unit 404 may control the acceleration sensor to acquire first motion data of a user of the wearable device within a preset acquisition period, where the first motion data may include but is not limited to one or more of motion direction, angular velocity, acceleration, magnetic induction, and the like, and information such as a motion state and a motion trajectory of the remote controller may be objectively reflected by the first motion data.

A preprocessing unit 405, configured to perform data preprocessing on the first motion data to obtain second motion data, and provide the second motion data to the feature recognition unit 406; wherein the data preprocessing at least comprises noise reduction processing and normalization processing of the first motion data by the wearable device.

In an embodiment of the present invention, the data preprocessing may include noise reduction and normalization of the first motion data by the wearable device, where the preprocessing unit 405 performs noise reduction on the first motion data, that is, the preprocessing unit 405 removes noise of the collected first motion data. Therefore, according to the embodiment of the invention, the environmental factors interfering the process of acquiring the first action data can be removed by preprocessing the first action data acquired by the acceleration sensor, so that the accuracy of acquiring the data by the wearable device is improved.

A feature recognition unit 406, configured to perform feature recognition on the second action data to obtain daily activity data corresponding to the type of daily activity to be acquired, and trigger the first sending unit 401 to start; the type of daily activities to be collected is sent to the wearable device by the mobile terminal in communication connection with the wearable device.

Therefore, the wearable device described in fig. 5 can effectively monitor the exercise coordination situation of the daily activities of the child, and further, the physical sign data of the user of the wearable device, such as age, sex, height, weight and the like, can be sent to the service device, and the service device calculates the exercise coordination comprehensive score of the user by combining the daily activity data and the physical sign data sent by the wearable device, so that the calculation result is more accurate and reliable.

EXAMPLE six

Referring to fig. 6, fig. 6 is a schematic structural diagram of another wearable device disclosed in the embodiment of the present invention. The wearable device shown in fig. 6 is optimized by the wearable device shown in fig. 5. Compared to the wearable device shown in fig. 5, the wearable device shown in fig. 6 further includes:

a first obtaining unit 407, configured to obtain a schedule of the user of the wearable device after the receiving unit 402 receives the prompt message returned by the service device, and provide the schedule to the selecting unit 408;

the selecting unit 408 is configured to select a non-lesson time period included in the last-lesson time period as a target time period according to the course schedule, and trigger the first determining unit 409 to start.

A first judging unit 409, configured to judge whether the current time belongs to the target time period.

The output unit 403 is specifically configured to, when the receiving unit 402 receives a prompt message returned by the service device, and after the first determining unit 409 determines that the current time belongs to the target time period, output a motion training course to a display interface of the wearable device according to the prompt message, so that a user of the wearable device performs motion coordination improvement training according to the motion training course.

As an alternative implementation, as shown in fig. 6, the output unit 403 may include:

a searching subunit 4031, configured to search, when the receiving unit 402 receives a prompt message returned by the service device, and after the first determining unit 409 determines that the current time belongs to the target time period, at least one training course matched with a target part to be trained with the highest priority among the at least one part to be trained according to the prompt message.

The selecting subunit 4032 is configured to obtain a duration of the target time period, select a target training course matching the duration from the at least one training course found by the finding unit 4031, and provide the target training course to the output subunit 4033.

The output subunit 4033 is configured to output the target training tutorial as a motion training tutorial to a display interface of the wearable device, so that a user of the wearable device performs a motion coordination improvement training according to the motion training tutorial.

Optionally, as shown in fig. 6, the wearable device may further include:

the second obtaining unit 410 is configured to, after the output subunit 4033 outputs the target training tutorial as the exercise training tutorial to the display interface of the wearable device, so that the user of the wearable device performs the exercise coordination improvement training according to the exercise training tutorial, obtain the amount of exercise consumed by the user of the wearable device to complete the exercise training tutorial, and provide the amount of exercise to the second determining unit 411.

A second judging unit 411 for judging whether the above-mentioned motion amount satisfies a preset target motion amount.

A calculating unit 412, configured to calculate a motion amount difference between the motion amount and the target motion amount when the second judging unit 411 judges that the motion amount does not satisfy the preset target motion amount, and supply the motion amount difference to the second transmitting unit 413.

A second sending unit 413, configured to send an acquisition request containing the aforementioned amount of motion difference to the service device, where the acquisition request is used to acquire a supplementary training course matched with the amount of motion difference.

Therefore, the wearable device described in fig. 6 can effectively monitor the exercise coordination situation of the daily activities of the child, and further, the physical sign data of the user of the wearable device, such as age, sex, height, weight and the like, can be sent to the service device, and the service device calculates the exercise coordination comprehensive score of the user by combining the daily activity data and the physical sign data sent by the wearable device, so that the calculation result is more accurate and reliable.

Referring to fig. 7, fig. 7 is a schematic structural diagram of another wearable device disclosed in the embodiment of the present invention. As shown in fig. 7, the wearable device may include:

a memory 701 in which executable program code is stored;

a processor 702 coupled to the memory 701;

the processor 702 calls the executable program code stored in the memory 701 to execute any one of the exercise coordination monitoring methods based on daily activities in fig. 1 to 3.

The embodiment of the invention discloses a computer-readable storage medium which stores a computer program, wherein the computer program enables a computer to execute any one of the exercise coordination monitoring methods based on daily activities in figures 1-3.

It should be appreciated that reference throughout this specification to "one embodiment" or "an embodiment" means that a particular feature, structure or characteristic described in connection with the embodiment is included in at least one embodiment of the present invention. Thus, the appearances of the phrases "in one embodiment" or "in an embodiment" in various places throughout this specification are not necessarily all referring to the same embodiment. Furthermore, the particular features, structures, or characteristics may be combined in any suitable manner in one or more embodiments. Those skilled in the art should also appreciate that the embodiments described in this specification are exemplary and alternative embodiments, and that the acts and modules illustrated are not required in order to practice the invention.

In various embodiments of the present invention, it should be understood that the sequence numbers of the above-mentioned processes do not imply an inevitable order of execution, and the execution order of the processes should be determined by their functions and inherent logic, and should not constitute any limitation on the implementation process of the embodiments of the present invention.

In various embodiments of the present invention, it should be understood that the term "and/or" herein is merely one type of association describing an associated object, meaning that three relationships may exist, e.g., a and/or B, may mean: a exists alone, A and B exist simultaneously, and B exists alone. In addition, the character "/" herein generally indicates that the former and latter related objects are in an "or" relationship.

In the embodiments provided herein, it should be understood that "B corresponding to A" means that B is associated with A from which B can be determined. It should also be understood, however, that determining B from a does not mean determining B from a alone, but may also be determined from a and/or other information.

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 invention 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.

The integrated units, if implemented as software functional units and sold or used as a stand-alone product, may be stored in a computer accessible memory. Based on such understanding, the technical solution of the present invention, which is a part of or contributes to the prior art in essence, or all or part of the technical solution, can be embodied in the form of a software product, which is stored in a memory and includes several requests for causing a computer device (which may be a personal computer, a server, a network device, or the like, and may specifically be a processor in the computer device) to execute part or all of the steps of the above-described method of each embodiment of the present invention.

It will be understood by those skilled in the art that all or part of the steps in the methods of the embodiments described above may be implemented by hardware instructions of a program, and the program may be stored in a computer-readable storage medium, where the storage medium includes Read-Only Memory (ROM), Random Access Memory (RAM), Programmable Read-Only Memory (PROM), Erasable Programmable Read-Only Memory (EPROM), One-time Programmable Read-Only Memory (OTPROM), Electrically Erasable Programmable Read-Only Memory (EEPROM), Compact Disc Read-Only Memory (CD-ROM), or other Memory, such as a magnetic disk, or a combination thereof, A tape memory, or any other medium readable by a computer that can be used to carry or store data.

The exercise coordination monitoring method based on daily activities and the wearable device disclosed by the embodiment of the invention are described in detail, a specific example is applied in the text to explain the principle and the implementation mode of the invention, and the description of the embodiment is only used for helping to understand the method and the core idea of the invention; meanwhile, for a person skilled in the art, according to the idea of the present invention, there may be variations in the specific embodiments and the application scope, and in summary, the content of the present specification should not be construed as a limitation to the present invention.

Claims

1. A method for monitoring motor coordination based on daily activities, the method comprising:

the wearable equipment sends daily activity data and sign data of a user of the wearable equipment to service equipment, so that the service equipment analyzes the daily activity data and the sign data to obtain a comprehensive exercise coordination score of the user of the wearable equipment; wherein the daily activity data is action data collected by an acceleration sensor of the wearable device, and the motion coordination comprehensive score is used for representing the coordination condition of the user;

the wearable device receives a prompt message returned by the service device, wherein the prompt message is used for prompting the wearable device to output a motion training course for improving the motion coordination of a user of the wearable device, the prompt message is sent by the service device when judging that the motion coordination comprehensive score is lower than a normal score threshold, and the prompt message at least comprises at least one part to be trained of the user of the wearable device and a priority level corresponding to each part to be trained;

if the current time belongs to the target time period, the wearable device searches at least one training course matched with a target part to be trained with the highest priority in the at least one part to be trained according to the prompt message; the wearable device obtains the duration of the target time period, and selects a target training course matched with the duration from the at least one training course; the wearable device outputs the target training course to a display interface of the wearable device as a motion training course so that a user of the wearable device can perform motion coordination improvement training according to the motion training course, the playing volume of the motion training course is adjusted according to noise information of the surrounding environment, and the brightness value of the display interface is adjusted according to the environment brightness value of the surrounding environment.

2. The method of claim 1, wherein before the wearable device sends the daily activity data and the vital sign data of the user of the wearable device to a service device, the method further comprises:

3. The method of claim 1, wherein the wearable device outputs the target training tutorial as a motion training tutorial to a display interface of the wearable device for a user of the wearable device to perform a motion coordination improvement training in accordance with the motion training tutorial, the method further comprising:

4. A wearable device, comprising:

the first sending unit is used for sending the daily activity data and the physical sign data of the user of the wearable device to a service device so that the service device can analyze the daily activity data and the physical sign data to obtain a comprehensive exercise coordination score of the user of the wearable device; wherein the daily activity data is action data collected by an acceleration sensor of the wearable device, and the motion coordination comprehensive score is used for representing the coordination condition of the user;

a receiving unit, configured to receive a prompt message returned by the service device, where the prompt message is used to prompt the wearable device to output a motion training course for improving motion coordination of a user of the wearable device, the prompt message is sent by the service device when it is determined that a motion coordination comprehensive score is lower than a normal score threshold, and the prompt message at least includes at least one to-be-trained part of the user of the wearable device and a priority level corresponding to each to-be-trained part;

the output unit is used for outputting a motion training course to a display interface of the wearable device according to the prompt message when the receiving unit receives the prompt message returned by the service device and after the first judging unit judges that the current time belongs to the target time period, so that a user of the wearable device performs motion coordination improvement training according to the motion training course;

the output unit includes:

the output subunit is configured to output the target training course as a motion training course to a display interface of the wearable device, so that a user of the wearable device performs motion coordination improvement training according to the motion training course, wherein the playing volume of the motion training course is adjusted according to noise information of a surrounding environment, and a brightness value of the display interface is adjusted according to an environment brightness value of the surrounding environment.

5. The wearable device of claim 4, further comprising:

6. The wearable device of claim 4, further comprising: