WO2023061206A1

WO2023061206A1 - Action feedback method and system for intelligent fitness instrument, device, and medium

Info

Publication number: WO2023061206A1
Application number: PCT/CN2022/121586
Authority: WO
Inventors: 张博文; 奚伟涛; 吕勃; 邢卫东; 唐宇瀚
Original assignee: 成都拟合未来科技有限公司
Priority date: 2021-10-14
Filing date: 2022-09-27
Publication date: 2023-04-20
Also published as: CN113786600A

Abstract

The present application discloses an action feedback method and system for an intelligent fitness instrument, a device, and a medium. The method comprises: by means of first working state data and standard action parameters corresponding to actions, determining whether to trigger unsafe action feedback; by means of second working state data and the standard action parameters corresponding to the actions, determining whether to trigger incorrect action feedback; by means of third working state data and the standard action parameters corresponding to the actions, determining whether to trigger non-standard action feedback; and by means of fourth working state data and the standard action parameters corresponding to the actions, determining whether to trigger intra-group performance deterioration action feedback. According to the present application, the unsafe action feedback, the incorrect action feedback, the non-standard action feedback, and the intra-group performance deterioration action feedback are sequentially triggered for the actions, and thus, the use efficiency and use comfort of a user can be improved, a training effect can further be ensured, and the long-term use is facilitated.

Description

Action feedback method, system, device and medium of an intelligent fitness equipment

This application claims the priority of the Chinese patent application submitted to the China Patent Office on October 14, 2021, with the application number 202111198936.6, and the title is "A Motion Feedback Method, System, Device and Medium for Intelligent Fitness Equipment", the entire content of which Incorporated in this application by reference.

technical field

The present application relates to the field of fitness, in particular to an action feedback method, system, device and medium for intelligent fitness equipment.

Background technique

With the improvement of living standards, maintaining a healthy body has become a basic pursuit of people. But in real life, people are at a loss about the types of fitness exercises they should do and how to choose the right fitness items to achieve their goals. Therefore, the intelligent fitness system that can formulate fitness plans according to the user's own situation currently has With a broad market prospect. However, if the fitness system can only formulate a fitness plan for the user, but when the user is exercising according to the fitness plan, the wrong operation will lead to unsafe fitness process, and the wrong movement will lead to the ineffective fitness and dangerous accidents may also occur. It cannot achieve a good fitness effect. At the same time, when the user performs a group of movements, the performance of each movement in the group is relatively poor, and the user cannot adapt to the specified movement intensity, which will reduce the user's sense of experience and is not convenient for long-term use. .

Therefore, for smart fitness equipment, there is an urgent need for a method that can provide feedback to the user's actions, so as to better reflect the user's fitness effect, improve the user's experience, and ensure the safe use of each action.

Contents of the invention

The action feedback method, system, device, and medium of the intelligent fitness equipment provided in various aspects of the application can judge whether the user is safe or standard when doing the action by acquiring the working status data of the action, thereby improving the comfort of the user and Better guarantee the fitness effect.

In a first aspect, the present application provides an action feedback method for an intelligent fitness device. The intelligent fitness device includes a motor, an arm and a pull cord coupled to the motor through the arm, and the method includes:

Preset action library, which includes several actions, and each action is preset with standard action parameters;

Determine the user's action, and obtain at least one type of data in the first real-time position data of the support arm, the second real-time position data of the pull rope, and the real-time moving speed data of the pull rope as the first working state data;

Obtain at least one type of data in the stroke data of the pull rope, the second real-time position data of the pull rope, and the real-time moving speed data of the pull rope as the second working state data;

Obtain at least one type of data among the time interval data between each action of the user, the stroke data of the pull rope, the second real-time position data of the pull rope, the real-time movement speed data and the smoothness data of the pull rope as the third working state data ;

Obtain the average data of each group of actions of the user as the fourth working state data;

Judging whether to trigger unsafe action feedback through the first working state data and the standard action parameters corresponding to the action;

Judging whether to trigger error action feedback through the second working state data and the standard action parameters corresponding to the action;

Judging whether to trigger non-standard action feedback through the third working state data and the standard action parameters corresponding to the action;

It is judged whether to trigger the performance deterioration action feedback within the group according to the fourth working state data and the standard action parameters corresponding to the action.

The principle of this application is: when the user uses the intelligent fitness equipment for fitness, the user adjusts the position of the support arm and uses the drawstring pulled out from the support arm to perform fitness. During the fitness process, there are four types of action feedback in this application. Types, that is, unsafe action feedback, wrong action feedback, non-standard action feedback and intra-group performance deterioration action feedback, and the trigger priority levels of these four types decrease in turn, that is, the priority level of unsafe action feedback is the highest, and the user When exercising, it is first necessary to compare whether the user's actions trigger unsafe action feedback, followed by wrong action feedback, non-standard action feedback, and action feedback of poor performance within the group.

Among them, the unsafe action feedback is the action feedback triggered when the action performed by the user may cause a safety accident, the wrong action feedback is the action feedback triggered when the user’s action is wrong, and the non-standard action feedback is the action performed by the user that does not meet the standard range The action feedback triggered by time, the performance deterioration within the group The action feedback is that in each group of actions performed by the user, the exercise performance after a set of actions becomes worse, that is, when the action performance gap is too large, it can be considered that the user is more fatigued. Action feedback triggered when the user struggles to perform the action.

The triggering priority levels of unsafe action feedback, wrong action feedback, non-standard action feedback and intra-group performance deterioration action feedback are lowered in turn. This is because action safety is the most important in the process of use. When the action occurs, it needs to be stopped in time to protect the safety of the user. Secondly, the correct action during use is the second most important factor. After performing the correct action, it is considered whether the action is standard and whether it can achieve the desired fitness effect. , after meeting the above requirements, the last thing is the user's comfort during fitness, whether it can adapt to this intensity of fitness training, that is to consider the expressiveness of each group of movements.

The intelligent fitness equipment of the present application, when exercising, adjusts the position of the support arm to be suitable for different fitness actions, and at the same time relies on the drawstring drawn from the support arm to perform different modes of fitness, and obtains the first real-time position of the support arm. The position data, the second real-time position data of the pull rope and the first working state data of the real-time moving speed data mainly have three factors to consider when judging whether the action is safe.

One: Whether the position of the support arm is correct. The support arm of the smart fitness equipment has three degrees of freedom, including up and down rotation, left and right rotation, and up and down translation. Users should adjust the support arm to the correct position in advance when training a certain action , each action is preset with standard action parameters. The standard action parameters include the position range of the arm corresponding to each action. Because the user's height and arm span are different, the correct position may have different combinations. Therefore, in this application, the standard The position of the support arm corresponding to the action in the action parameter is a range value. If the first real-time position data of the support arm exceeds the position range of the support arm corresponding to the action, the support arm is not in the correct position, and danger may occur during use , and then trigger the unsafe action feedback, the unsafe action feedback makes the motor shut down and stop the motion.

Second: There are left and right pull ropes in the intelligent fitness equipment. When the user’s action is a barbell action, the left and right pull ropes are fixedly connected to the two ends of the barbell respectively, and the left and right pull ropes are detected and obtained. The second real-time position data, based on the second real-time position data of the left stay cord and the right stay cord, obtains the real-time position difference between the left stay cord and the right stay cord. If the real-time position difference is too large, it proves that the user's barbell is skewed, which may cause danger. The standard action parameters include the first position difference threshold. When the real-time position difference exceeds the first position difference threshold, unsafe action feedback will be triggered.

In some embodiments, the real-time position difference between the left pull rope and the right pull rope may also trigger wrong action feedback and non-standard action feedback. This is because the standard action parameters also include a second position difference threshold and a third position difference threshold. The trigger priority levels of safety action feedback, wrong action feedback and non-standard action feedback decrease in turn, and the first position difference threshold, the second position difference threshold and the third position difference threshold decrease in turn, that is, when in use, the real-time position difference exceeds The first position difference threshold triggers unsafe action feedback; the real-time position difference exceeds the second position difference threshold, triggers wrong action feedback; the real-time position difference exceeds the third position difference threshold, triggers non-standard action feedback, when the real-time position difference When the first position difference threshold is exceeded, the unsafe action feedback is directly triggered, and the non-standard action feedback and wrong action feedback will not be triggered, and the trigger priority level is also followed here.

The third: When in the action of barbell mode, detect and obtain the real-time moving speed data of the left pull rope and the right pull rope, and obtain the real-time movement speed data of the left pull rope and the right pull rope based on the real-time moving speed data of the left pull rope and the right pull rope Speed difference. If the speed difference between the left and right spools is too large, that is, the real-time speed difference is too large, it proves that the user has not controlled the barbell, and there is a risk of barbell skewing, which may cause danger. The standard action parameters include the first speed difference threshold. When the real-time speed difference exceeds When the first speed difference threshold is reached, the unsafe action feedback is triggered.

In some embodiments, the real-time speed difference between the left pull rope and the right pull rope may also trigger wrong action feedback and non-standard action feedback. This is because the standard action parameters also include a second speed difference threshold and a third speed difference threshold. The trigger priority levels of safety action feedback, wrong action feedback and non-standard action feedback decrease in turn, and the magnitudes of the first speed difference threshold, the second speed difference threshold and the third speed difference threshold decrease in turn, that is, when in use, the real-time speed difference exceeds The first speed difference threshold triggers unsafe action feedback; the real-time speed difference exceeds the second speed difference threshold, triggers wrong action feedback; whether the real-time speed difference exceeds the third speed difference threshold, triggers non-standard action feedback. When the real-time speed difference exceeds the first speed difference threshold, the unsafe action feedback is directly triggered, and the non-standard action feedback and wrong action feedback are not triggered, and the trigger priority level is also followed here. In this way, during use, the user's actions can be further fed back, and the use efficiency can be improved.

When judging whether the action is wrong, in addition to the above-mentioned real-time position difference and real-time speed difference, it also includes the stroke data of the pull rope, that is, the user's stroke. The user's stroke needs to be calculated in real time through the motor position during movement, that is, pulled out by the pull rope The position can be obtained, and the stroke can also be calibrated through multiple movements to determine whether the stroke is too large, too small or unstable. The stroke of the action should also have a suitable range, including the threshold of excessive stroke and the threshold of too small , should be formulated according to the corresponding action. At the same time, after each exercise, the itinerary of the current exercise will be obtained. If the difference in the itinerary of each exercise in each group of movements is too large, the itinerary is considered unstable.

In this application, the standard action parameters include the first stroke range and the first stroke instability threshold. If the stroke data of the pull rope exceeds the first stroke range, the action is wrong, which is not the specified action, which will trigger wrong action feedback. If the data exceeds the unstable threshold of the first stroke, non-standard action feedback will be triggered. If the stroke data difference of the stroke data of each movement in each group of actions exceeds the first stroke instability threshold, then an error action feedback is triggered.

On this basis, the standard action parameters also include a second stroke range and a second stroke instability threshold, the second stroke range is smaller than the first stroke range, the second stroke instability threshold is smaller than the first stroke instability threshold, the second stroke range And the second stroke instability threshold triggers non-standard action feedback, that is, when the action is correct, it is judged whether the action is standard, thereby ensuring that the user can achieve a better fitness effect. If the stroke data exceeds the second stroke range, non-standard action feedback will be triggered; if the difference between the pull rope stroke data exceeds the second stroke instability threshold, non-standard action feedback will be triggered. The trigger priority level is also followed here, so that when in use, it can further give feedback to the user's actions and improve the efficiency of use.

When judging whether an action is standard, in addition to the above-mentioned stroke data, stroke data difference, real-time speed difference and real-time position difference, when judging whether the motion is standard, it is also based on the time interval data between each movement in each group of user movements and each group of movements Average data for time interval data. In a group of actions, there will be a certain time interval between each action. If the interval is too long or too short or uneven, it may cause the reduction of the exercise effect. Therefore, the time threshold includes the excessive time interval threshold between actions in the group , too small threshold and uneven threshold. Standard action parameters include time interval range threshold and time unevenness threshold; obtain the time interval data between each action in each group of user actions, and judge whether the time interval data exceeds the time interval range threshold, and trigger non-standard action feedback if it exceeds; Obtain the average data of the time interval data of each group of actions of the user, and judge whether the average data exceeds the threshold of time unevenness, and trigger non-standard action feedback if it exceeds.

In addition, when the distance and speed of the user's action meet the requirements, there may be a phenomenon of distance jitter, which proves that the user's performance during the action is not good, it may be more difficult, or the way of exerting force is wrong, resulting in distance data. Not smooth. Therefore, when judging whether the action is standard, the smoothness data is also obtained according to the second real-time position data of the pull rope. The standard action parameters include a smoothness threshold, and it is judged whether the smoothness data exceeds the smoothness threshold. If it exceeds, non-standard action feedback is triggered.

Specifically: obtain the filtered motor distance data curve S _filt , where,

S is the motor distance data curve, S[n] is the motor distance at time n, and the average value filter with an interval size of 2k+1 is performed on S;

Obtain the smoothness F of the motor distance data curve, where,

The smoothness threshold corresponding to each action should be preset according to the information of different action types. When the smoothness of the curve is greater than the smoothness threshold, the curve is considered not smooth, indicating that the user's performance is not good, and jitter occurs during the action.

Training actions are carried out in groups, and the performance of a group of actions will often deteriorate in the later stage. When the difference in action performance is too large, it can be considered that the user is more fatigued. The average speed within a group refers to the average speed of the movements within a group, that is, the average speed data of each group of movements. If the average speed of a certain movement drops too much, it can be considered that the degree of fatigue is too great. Specifically: acquire at least one type of data in the average speed data and average stroke data of each group of actions as the fourth working state data.

In the second aspect, the application also provides an action feedback system for intelligent fitness equipment, including an action feedback module, an action information acquisition module, a standard action parameter module, and a judgment module; wherein the action feedback module includes unsafe action feedback, wrong action feedback , Non-standard action feedback and action feedback of poor performance within the group, the triggering priority of unsafe action feedback, wrong action feedback, non-standard action feedback and action feedback of poor performance within the group will be lowered in turn;

The action information acquisition module is used to acquire the user's work status data;

The judging module is used to judge whether to trigger the action feedback module by comparing the working status data with the standard action parameter module.

In this application, when the unsafe action feedback is triggered, the application directly controls the motor to stop working, and sends a reminder to the user. Just prompt.

In the third aspect, the present application also provides an electronic device, including a memory, a processor, and a computer program stored in the memory and operable on the processor. When the processor executes the computer program, the action of the above-mentioned intelligent fitness equipment is realized. Steps in the Feedback Method.

In the fourth aspect, the present application also provides a computer-readable storage medium, which stores a computer program, and when the computer program is executed by a processor, the steps of the above-mentioned action feedback method for an intelligent fitness device are realized.

In the process of using this application, the judgment of the action triggers the unsafe action feedback, the wrong action feedback, the non-standard action feedback and the poor performance action feedback within the group in sequence according to the different triggering priority levels. The unsafe action feedback will be carried out in real time, and the wrong action feedback, non-standard action feedback and intra-group performance deterioration action feedback will be performed according to the action, that is, feedback will be given immediately when an unsafe action is detected, and other feedback will be given at the end of a pull-recovery action only given. When in use, it can not only ensure the safety of the user during use, but also guide and monitor the user's actions, so that the user's actions are correct and the actions meet the standards. Feedback and tips can not only improve the user's efficiency and comfort, but also further ensure the training effect for long-term use.

Description of drawings

In order to more clearly illustrate the technical solutions of the embodiments of the present application, the following will briefly introduce the accompanying drawings that need to be used in the embodiments of the present application. Obviously, the accompanying drawings described below are only some embodiments of the present application. Those of ordinary skill in the art can also obtain other drawings based on the accompanying drawings on the premise of not paying creative efforts.

Fig. 1 is a schematic flow chart of an action feedback method for an intelligent fitness device provided by an embodiment of the present application.

Fig. 2 is a schematic composition diagram of an action feedback system of an intelligent fitness equipment provided by an embodiment of the present application.

Fig. 3 is a front view of an intelligent fitness device provided by an embodiment of the present application.

Fig. 4 is a schematic diagram of a local structure in a track provided by an embodiment of the present application.

Marks and corresponding parts names in the attached drawings:

8-track; 9-end; 10-adjusting seat; 27-body; 28-arm.

Detailed ways

In order to better understand the above-mentioned purpose, features and advantages of the present application, the present application will be further described in detail below in conjunction with the accompanying drawings and specific embodiments. It should be noted that, under the condition of not conflicting with each other, the embodiments of the present application and the features in the embodiments can be combined with each other.

In the following description, a lot of specific details are set forth in order to fully understand the application, but the application can also be implemented in other ways different from the scope of this description, therefore, the protection scope of the application is not limited by the following disclosure limitations of specific examples.

Those skilled in the art should understand that, in the disclosure of the present application, the terms "vertical", "transverse", "upper", "lower", "front", "rear", "left", "right", " The orientation or positional relationship indicated by "vertical", "horizontal", "top", "bottom", "inner", "outer", etc. is based on the orientation or positional relationship shown in the drawings, which are only for the convenience of describing the present application and The above terms are not to be construed as limitations on the present application because the description is simplified rather than indicating or implying that the device or element referred to must have a particular orientation, be constructed, and operate in a particular orientation.

It can be understood that the term "a" should be understood as "at least one" or "one or more", that is, in one embodiment, the number of an element can be one, while in another embodiment, the number of the element The quantity can be multiple, and the term "a" cannot be understood as a limitation on the quantity.

Please refer to FIG. 1. FIG. 1 is a schematic flowchart of an action feedback method for an intelligent fitness device provided in an embodiment of the present application. The application provides an action feedback method for an intelligent fitness device. The intelligent fitness device includes a motor, an arm and Passing the stay rope coupled to the motor on the support arm, the method includes the following steps.

Preset action library, the action library includes several actions, and each action is preset with standard action parameters.

Determine the user's action, obtain at least one type of data in the first real-time position data of the support arm, the second real-time position data of the pull rope, and the real-time moving speed data of the pull rope as the first working state data; through the first working state data The standard action parameters corresponding to the action judge whether to trigger the unsafe action feedback. If it is triggered, the motor will be controlled to stop working, that is, the protection mode will be triggered.

Obtain at least one type of data in the stroke data of the pull rope, the second real-time position data of the pull rope, and the real-time moving speed data of the pull rope as the second working state data. The standard action parameters corresponding to the state data and action judge whether to trigger the wrong action feedback; if the wrong action feedback is triggered, a prompt will be issued.

If the wrong action feedback is not triggered, at least one of the time interval data between each action of the user, the stroke data of the pull rope, the second real-time position data of the pull rope, the real-time movement speed data and the smoothness data of the pull rope is acquired Class data is used as the third working state data, and whether the non-standard action feedback is triggered is judged by the third working state data and the standard action parameters corresponding to the action; if the non-standard action feedback is triggered, a prompt is issued.

If no non-standard action feedback is triggered, at least one type of data in the average speed data and average stroke data of each group of actions is obtained as the fourth working state data; whether to trigger is judged by the fourth working state data and the standard action parameters corresponding to the action Feedback on poor performance within the group. If the feedback on poor performance within the group is triggered, a prompt will be issued.

Among them, the intelligent fitness equipment has a left pull rope and a right pull rope. When the user’s action is a barbell movement, the left pull rope and the right pull rope are fixedly connected to the two ends of the barbell respectively; the standard action parameters include the first position difference threshold, the second The second position difference threshold and the third position difference threshold.

The action feedback method of intelligent fitness equipment also includes

The detection obtains the second real-time position data of the left and right stay cords, and based on the second real-time position data of the left and right stay cords, the real-time position difference between the left and right stay cords is obtained. Judging whether the real-time position difference exceeds the first position difference threshold, if it exceeds, trigger unsafe action feedback; determine whether the real-time position difference exceeds the second position difference threshold, if it exceeds, trigger error action feedback; determine whether the real-time position difference exceeds the third position If the difference threshold is exceeded, non-standard action feedback will be triggered.

In some embodiments, the standard action parameters include a first speed difference threshold, a second speed difference threshold, and a third speed difference threshold.

The action feedback method of the intelligent fitness equipment also includes:

The real-time moving speed data of the left and right pull ropes is obtained by detection, and based on the real-time moving speed data of the left and right pull ropes, the real-time speed difference between the left and right pull ropes is obtained. Judging whether the real-time speed difference exceeds the first speed difference threshold, if it exceeds, trigger unsafe action feedback; judge whether the real-time speed difference exceeds the second speed difference threshold, if it exceeds, trigger error action feedback; judge whether the real-time speed difference exceeds the third speed If the difference threshold is exceeded, non-standard action feedback will be triggered.

In some embodiments, the standard operating parameters include a first travel range, a second travel range, a first travel instability threshold, and a second travel instability threshold.

The action feedback method of the intelligent fitness equipment also includes:

Get the stroke data of the pull rope, judge whether the stroke data exceeds the first stroke range, and trigger error action feedback if it exceeds; judge whether the stroke data exceeds the second stroke range, and trigger non-standard action feedback if it exceeds. Obtain the stroke data of the pull rope of each action in each group of actions, obtain the difference between the stroke data of the pull rope between two adjacent actions in each set of actions, and judge whether the difference between the stroke data of the pull rope exceeds the first stroke instability threshold. If it exceeds, then Trigger error action feedback; judge whether the data difference of the rope stroke exceeds the second stroke instability threshold, and if it exceeds, trigger non-standard action feedback.

In some embodiments, the standard action parameters include a time interval range threshold and a time unevenness threshold.

The action feedback method of the intelligent fitness equipment also includes:

Obtain the time interval data between each action in each group of actions of the user, and judge whether the time interval data exceeds the threshold of the time interval range. If it exceeds, trigger non-standard action feedback; obtain the average data of the time interval data of each group of user actions, and judge Whether the average data exceeds the time unevenness threshold, and if it exceeds, non-standard action feedback will be triggered.

In this embodiment, the first position difference threshold is greater than the second position difference threshold, and the second position difference threshold is greater than the third position difference threshold. The first speed difference threshold is greater than the second speed difference threshold, and the second speed difference threshold is greater than the third speed difference threshold. The first stroke range is greater than the second stroke range, and the first stroke instability threshold is greater than the second stroke instability threshold.

In some embodiments, the standard motion parameters include a smoothness threshold. The motion feedback method of the smart fitness equipment also includes: obtaining smoothness data according to the second real-time position data of the pull rope, judging whether the smoothness data exceeds the smoothness threshold, and triggering non-standard motion feedback if exceeded.

Specifically: obtain the filtered motor distance data curve S _filt , where,

S is the motor distance data curve, S[n] is the motor distance at time n, and the average value filter with an interval size of 2k+1 is performed on S.

Obtain the smoothness F of the motor distance data curve, where,

An action feedback method for an intelligent fitness device in this application will be introduced below with reference to specific examples.

Step 1. Preset the action library. The action library includes several actions. Each action is preset with standard action parameters. The standard action parameters include arm position parameters, the first position difference threshold, the second position difference threshold, and the third position difference. Threshold, first speed difference threshold, second speed difference threshold, third speed difference threshold, first trip range, second trip range, first trip instability threshold, second trip instability threshold, time interval range threshold, time Unevenness Threshold and Smoothness Threshold.

Step 2 is to determine the user's action, and first determine whether the action triggers unsafe action feedback. Obtain the standard action parameters of the action in step 1, obtain at least one type of data in the first real-time position data of the support arm, the second real-time position data of the pull rope and the real-time moving speed data of the pull rope as the first working state Data: judge whether to trigger the unsafe action feedback through the first working state data and the standard action parameters corresponding to the action, if triggered, control the motor to stop working, that is, trigger the protection mode.

Step 2.1 The first real-time position data of the support arm includes the position parameters of the support arm. By judging whether the first real-time position of the support arm exceeds the support arm position parameter in the standard action parameters, if it exceeds, it will trigger unsafe action feedback and control the motor to stop Work.

Step 2.2 There are left and right pull ropes in the intelligent fitness equipment. When the user’s action is a barbell action, the left and right pull ropes are fixedly connected to the two ends of the barbell respectively. Two real-time position data, based on the second real-time position data of the left pull rope and the right pull rope, obtain the real-time position difference between the left pull rope and the right pull rope; judge whether the real-time position difference exceeds the first position difference threshold, and if it exceeds, trigger no Safety action feedback; in this embodiment, the first position difference threshold is 10 centimeters (cm).

Step 2.3 detects and obtains the real-time moving speed data of the left pull rope and the right pull rope, based on the real-time moving speed data of the left pull rope and the right pull rope, obtains the real-time speed difference between the left pull rope and the right pull rope, and judges whether the real-time speed difference exceeds If the first speed difference threshold is exceeded, an unsafe action feedback will be triggered; in this embodiment, the first speed difference threshold is 0.5 meters per second (m/s).

Among them, the detection of steps 2.1-2.3 is carried out at the same time, if any one of them triggers the unsafe action feedback, that is, triggers the unsafe action feedback, and the motor stops working. If no unsafe action feedback is triggered, the monitoring in step 3 will be carried out.

Step 3 acquires at least one type of data in the stroke data of the pull rope, the second real-time position data of the pull rope, and the real-time moving speed data of the pull rope as the second working state data. When a pulling-recovery action ends, pass The second working state data and standard action parameters corresponding to the action determine whether to trigger error action feedback.

Step 3.1 Determine whether the real-time position difference exceeds the second position difference threshold, and if so, trigger error action feedback; wherein the second position difference threshold is 5cm.

Step 3.2 judges whether the real-time speed difference exceeds the second speed difference threshold, and if so, triggers error action feedback; the second speed difference threshold is 0.25m/s.

Step 3.3 Obtain the stroke data of the pull rope, judge whether the stroke data exceeds the first stroke range, and if it exceeds, trigger error action feedback; obtain the stroke data of the pull rope for each action in each group of actions, and obtain two adjacent strokes in each set of actions The stroke data difference of the pull rope of each action is different, and it is judged whether the stroke data difference of the pull rope exceeds the instability threshold of the first stroke, and if it exceeds, the error action feedback will be triggered; , the range of the first stroke is 8-15cm, and the unstable threshold of the first stroke is 3cm; the monitoring of steps 3.1-3.3 is carried out at the same time, any one of which triggers the wrong action feedback is the triggered wrong action feedback, and the user is notified after triggering A prompt is issued, and if no error action feedback is triggered, the monitoring in step 4 will be carried out.

Step 4 Obtain at least one type of data in the time interval data between each action of the user, the stroke data of the pull rope, the second real-time position data of the pull rope, the real-time movement speed data and the smoothness data of the pull rope as the third work For the state data, judge whether to trigger non-standard action feedback through the third working state data and the standard action parameters corresponding to the action.

Step 4.1 Determine whether the real-time position difference exceeds the third position difference threshold, if so, trigger non-standard action feedback, and the third position difference threshold is 3cm.

Step 4.2 judges whether the real-time speed difference exceeds the third speed difference threshold, and if so, triggers non-standard action feedback, and the third speed difference threshold is 0.15m/s.

Step 4.3 Judging whether the stroke data exceeds the second stroke range, if so, triggering non-standard action feedback; judging whether the pull rope stroke data difference exceeds the second stroke instability threshold, if so, triggering non-standard action feedback. In this embodiment, when a user with a height of 170-180 cm performs upper limb arm training, the second stroke range is 10-13 cm, and the second stroke instability threshold is 2 cm.

Step 4.4 Obtain the time interval data between each action in each group of actions of the user, determine whether the time interval data exceeds the threshold of the time interval range, and if it exceeds, trigger non-standard action feedback; obtain the average data of the time interval data of each group of user actions , to determine whether the average data exceeds the time uneven threshold, and if it exceeds, non-standard action feedback is triggered; in this embodiment, when a user with a height of 170-180cm performs upper limb arm training, the time interval range threshold is 5-10 seconds (s), The time unevenness threshold is 3 minutes (min).

Step 4.5 Obtain smoothness data according to the second real-time position data of the pull rope, the standard action parameters include a smoothness threshold, judge whether the smoothness data exceeds the smoothness threshold, and trigger non-standard action feedback if exceeded.

Step 4.51 obtains the filtered motor distance data curve S _filt , where,

Step 4.52 obtains the smoothness F of the motor distance data curve, wherein,

The monitoring of steps 4.1-4.5 is carried out at the same time. Any one of them that triggers non-standard action feedback is the trigger of non-standard action feedback. After triggering, a prompt will be issued to the user. If no non-standard action feedback is triggered, the monitoring of step 5 will be carried out. .

Step 5 Obtain at least one type of data in the average speed data and average stroke data of each group of actions as the fourth working state data, and judge whether to trigger the action feedback of performance deterioration within the group through the fourth working state data and the standard action parameters corresponding to the action .

Please refer to Figure 2. Figure 2 is a schematic diagram of the composition of an action feedback system for an intelligent fitness device provided by the embodiment of the present application. On the basis of the above-mentioned method embodiment, the embodiment of the present application also provides an action The feedback system includes: an action feedback module, an action information acquisition module, a standard action parameter module, and a judgment module; the action feedback module includes unsafe action feedback, wrong action feedback, non-standard action feedback and poor performance within the group. The triggering priority of safety action feedback, wrong action feedback, non-standard action feedback and action feedback of poor performance within the group is lowered in turn; the action information acquisition module is used to obtain the user's working status data; the judgment module is used to compare the working status data and The standard action parameter module judges whether to trigger the action feedback module. In this application, when the unsafe action feedback is triggered, the application directly controls the motor to stop working, and sends a reminder to the user. Just prompt.

The embodiment of the present application also provides an electronic device, including a memory, a processor, and a computer program stored in the memory and operable on the processor. When the processor executes the computer program, an action feedback method for an intelligent fitness device is implemented. step.

Wherein, the processor may be a central processing unit, or other general-purpose processors, digital signal processors, application-specific integrated circuits, off-the-shelf programmable gate arrays or other programmable logic devices, discrete gate or transistor logic devices, discrete hardware components, etc. . A general-purpose processor may be a microprocessor, or the processor may be any conventional processor, or the like.

The memory can be used to store computer programs and/or modules, and the processor realizes various functions of an action feedback device of an intelligent fitness device in this application by running or executing data stored in the memory. The memory may mainly include a program storage area and a data storage area, wherein the program storage area may store an operating system, at least one application required by a function (such as a sound playback function, an image playback function, etc.) and the like. In addition, the memory can include high-speed random access memory, and can also include non-volatile memory, such as hard disk, internal memory, plug-in hard disk, smart memory card, secure digital card, flash memory card, at least one magnetic disk storage device, flash memory device, or other volatile solid-state memory devices.

The embodiment of the present application also provides a computer-readable storage medium. The computer-readable storage medium stores a computer program. When the computer program is executed by a processor, the steps of an action feedback method for an intelligent fitness device are realized.

The computer storage medium in the embodiments of the present application may use any combination of one or more computer-readable media. The computer readable medium may be a computer readable signal medium or a computer readable storage medium. A computer readable storage medium may be, but is not limited to, an electrical, magnetic, optical, electromagnetic, infrared, or semiconductor system, apparatus, or device, or any combination thereof. More specific examples (non-exhaustive list) of computer-readable storage media include: electrical connections with one or more conductors, portable computer disks, hard disks, Random Access Memory (RAM), Read Only Memory ( Read Only Memor, ROM), erasable programmable read-only memory ((Erasable Programmable Read Only Memory, EPROM) or flash memory), optical fiber, portable compact disk read-only memory (Compact Disc Read Only Memory, CD-ROM), optical A storage device, a magnetic storage device, or any suitable combination of the above. In this document, a computer-readable storage medium may be any tangible medium that contains or stores a program that can be used by or in conjunction with an instruction execution system, apparatus, or device.

On the basis of the above-mentioned embodiments, as shown in Figures 3 and 4, the fitness equipment corresponding to the method embodiment in the present application is a kind of intelligent fitness equipment, including a body 27, and also includes a track 8 that is rotatably connected to the body 27, The adjustment base 10 slidably fitted in the track 8 , the end 9 rotatably connected to the adjustment base 10 , and the support arm 28 fixedly connected with the end 9 . In addition, the smart fitness equipment also includes the following contents.

The first adjustment assembly is used to adjust the rotation angle of the track 8 on the body 27 around the axis of the track itself; the second adjustment assembly is used to adjust the axial position of the adjustment seat 10 in the track 8 (that is, the position of the arm along the translation of the track) ); the third adjustment assembly is used to adjust the rotation angle of the terminal 9 on the adjustment seat 10 (that is, the angle at which the support arm rotates around the intersection point of the support arm and the track); the fourth adjustment assembly is used to adjust the connector so that the support arm 28 is connected with different fittings; in this embodiment with a lever.

In this embodiment, the first adjustment component and the second adjustment component are provided with a first sensor, and the first sensor is used to monitor the position information of the support arm, that is, to obtain the first real-time position data of the support arm; Two sensors, the second sensor is used to monitor the distance between the other end of the stay rope and the motor, that is, to obtain the second real-time position data and stroke data of the stay rope, the stay rope is also provided with a third sensor for monitoring the moving speed of the stay rope The sensor is used to obtain the real-time moving speed data of the pull rope.

While preferred embodiments of the present application have been described, additional changes and modifications to these embodiments can be made by those skilled in the art once the basic inventive concept is appreciated. Therefore, the appended claims are intended to be construed to cover the preferred embodiment and all changes and modifications which fall within the scope of the application.

Obviously, those skilled in the art can make various changes and modifications to the application without departing from the spirit and scope of the application. In this way, if these modifications and variations of the present application fall within the scope of the claims of the present application and their equivalent technologies, the present application is also intended to include these modifications and variations.

Claims

A motion feedback method for an intelligent fitness device, comprising:

Preset action library, which includes several actions, and each action is preset with standard action parameters;

Determine the user's action, and obtain at least one type of data in the real-time position data of the pull rope and the real-time moving speed data of the pull rope as the first working state data;

Acquiring at least one type of data in the stroke data of the pull rope, the real-time position data of the pull rope and the real-time moving speed data of the pull rope as the second working state data;

Acquiring at least one type of data among the time interval data between each action of the user, the stroke data of the pull rope, the real-time position data of the pull rope, the real-time moving speed data of the pull rope, and the smoothness data as the third working state data;

Obtain the average data of each group of actions of the user as the fourth working state data;

Judging whether to trigger unsafe action feedback through the first working state data and the standard action parameters corresponding to the action;

Judging whether to trigger error action feedback through the second working state data and the standard action parameters corresponding to the action;

Judging whether to trigger non-standard action feedback through the third working state data and the standard action parameters corresponding to the action;

It is judged whether to trigger the performance deterioration action feedback within the group according to the fourth working state data and the standard action parameters corresponding to the action.
The action feedback method of an intelligent fitness equipment according to claim 1, wherein the intelligent fitness equipment has a left pull rope and a right pull rope, and when the user's action is a barbell movement, the left pull rope and the right pull rope The pull ropes are respectively fixedly connected to both ends of the barbell; the standard action parameters include the first position difference threshold, the second position difference threshold and the third position difference threshold;

The method also includes:

Detecting and obtaining the real-time position data of the left stay cord and the right stay cord, and obtaining the real-time positions of the left stay cord and the right stay cord based on the real-time position data of the left stay cord and the right stay cord Difference;

judging whether the real-time position difference exceeds a first position difference threshold, and if so, triggering unsafe action feedback;

judging whether the real-time position difference exceeds a second position difference threshold, and if so, triggering error action feedback;

It is judged whether the real-time position difference exceeds a third position difference threshold, and if so, non-standard action feedback is triggered.
An action feedback method for an intelligent fitness device according to claim 2, wherein the standard action parameters include a first speed difference threshold, a second speed difference threshold and a third speed difference threshold;

The method also includes:

Detecting and obtaining the real-time movement speed data of the left stay cord and the right stay cord, based on the real-time movement speed data of the left stay cord and the right stay cord, obtaining the distance between the left stay cord and the right stay cord Poor real-time speed;

Judging whether the real-time speed difference exceeds a first speed difference threshold, if so, triggering unsafe action feedback;

judging whether the real-time speed difference exceeds a second speed difference threshold, and if so, triggering error action feedback;

It is judged whether the real-time speed difference exceeds a third speed difference threshold, and if so, non-standard action feedback is triggered.
An action feedback method for an intelligent fitness device according to any one of claims 1-3, wherein the standard action parameters include the first stroke range, the second stroke range, the first stroke instability threshold and the second stroke instability threshold;

The method also includes:

Obtain the stroke data of the pull rope, judge whether the stroke data exceeds the first stroke range, and trigger error action feedback if it exceeds; judge whether the stroke data exceeds the second stroke range, and trigger non-standard action feedback if it exceeds;

Obtain the stroke data of the pull rope of each action in each group of actions, obtain the difference between the stroke data of the pull rope between two adjacent actions in each set of actions, and judge whether the difference between the stroke data of the pull rope exceeds the first stroke instability threshold. If it exceeds, then Trigger error action feedback; judge whether the data difference of the rope stroke exceeds the second stroke instability threshold, and if it exceeds, trigger non-standard action feedback.
An action feedback method for an intelligent fitness device according to any one of claims 1-4, wherein the standard action parameters include a time interval range threshold and a time unevenness threshold;

The method also includes:

Obtain the time interval data between each action in each group of actions of the user, judge whether the time interval data exceeds the threshold of the time interval range, and trigger non-standard action feedback if it exceeds;

Obtain the average data of the time interval data of each group of actions of the user, and judge whether the average data exceeds the threshold of time unevenness, and trigger non-standard action feedback if it exceeds.
An action feedback method for an intelligent fitness device according to any one of claims 1-5, wherein the standard action parameters include a smoothness threshold;

The method also includes:

Obtain smoothness data according to the real-time position data of the pull rope, judge whether the smoothness data exceeds the smoothness threshold, and trigger non-standard action feedback if exceeded.
The action feedback method of an intelligent fitness device according to any one of claims 1-6, wherein the method further comprises:

At least one type of data among the average speed data and the average stroke data of each group of actions is obtained as the fourth working state data.
An action feedback system for intelligent fitness equipment, including an action feedback module, an action information acquisition module, a standard action parameter module, and a judgment module; wherein the action feedback module includes unsafe action feedback, wrong action feedback, non-standard action feedback and group performance The triggering priority of action feedback of poor performance, unsafe action feedback, wrong action feedback, non-standard action feedback and poor performance within the group decreases in turn;

The action information acquisition module is used to acquire the user's work status data;

The judging module is used to judge whether to trigger the action feedback module by comparing the working state data with the standard action parameter module.
An electronic device, comprising a memory, a processor, and a computer program stored in the memory and operable on the processor, when the processor executes the computer program, any one of claims 1-7 is implemented. The steps of the action feedback method of the intelligent fitness equipment.
A computer-readable storage medium, the computer-readable storage medium stores a computer program, and when the computer program is executed by a processor, it implements an action feedback method for an intelligent fitness device as described in any one of claims 1-7 A step of.
An intelligent fitness equipment, which is used to execute the steps of the action feedback method of the intelligent fitness equipment according to any one of claims 1-7.