WO2022156651A1

WO2022156651A1 - Step length acquisition method and electronic device

Info

Publication number: WO2022156651A1
Application number: PCT/CN2022/072433
Authority: WO
Inventors: 王丰
Original assignee: 维沃移动通信有限公司
Priority date: 2021-01-25
Filing date: 2022-01-18
Publication date: 2022-07-28
Also published as: CN112767434A; CN112767434B

Abstract

A step length acquisition method and an electronic device. The method comprises: in a correction mode, acquiring target motion feature information within a target time period, and determining a target motion scenario within the target time period; respectively acquiring a first motion distance obtained by means of calculation and in a preset manner within the target time period, and a second motion distance obtained by means of measurement, and determining a target correction ratio for the target motion scenario; in a motion mode, according to motion feature information at a target moment, determining that the target moment corresponds to the target motion scenario; acquiring a step length, which is obtained by means of calculation and in the preset manner and corresponds to the target moment, and taking the step length as a first step length; and according to the first step length and the target correction ratio, updating, to a second step length, the step length corresponding to the target moment, wherein the motion feature information at least comprises a motion capability level and a stride frequency level.

Description

Step size acquisition method and electronic device

CROSS-REFERENCE TO RELATED APPLICATIONS

This application claims priority to Chinese Patent Application No. 202110098825.1 filed in China on Jan. 25, 2021, the entire contents of which are hereby incorporated by reference.

technical field

The present application belongs to the field of electronic technology, and specifically relates to a step size acquisition method and electronic device.

Background technique

At present, users will use electronic devices such as wristbands and mobile phones to record their movement distance during exercise.

In the prior art, the method for calculating the motion distance is: synthesizing the relationship between the height, stride frequency, motion energy and the real step size of a large number of people, and using a polynomial approximation method to fit the functional relationship closest to the real step size, thereby using The functional relationship calculates the step size, and then takes the inner product of the step size vector and the step number vector during a period of motion, and then obtains the motion distance.

Due to individual differences, each person's exercise habits are different, so the step size in the exercise process is quite different, so that the step size calculation method in the prior art is not suitable for everyone, and the accuracy rate of obtaining the step size is relatively high. Low.

SUMMARY OF THE INVENTION

The purpose of the embodiments of the present application is to provide a step size acquisition method, which can solve the problem of low accuracy of the step size acquisition method in the prior art.

In order to solve the above technical problems, this application is implemented as follows:

In a first aspect, an embodiment of the present application provides a step size acquisition method, the method includes: in a correction mode, acquiring target motion feature information within a target time period where the correction mode is located; and determining a target time period according to the target motion feature information The corresponding target movement scene; respectively obtain the first movement distance and the second movement distance in the target period; the first movement distance is calculated by the preset method, and the second movement distance is obtained by measurement; according to the first movement distance and the second movement distance The movement distance determines the target correction ratio of the target movement scene; in the movement mode, according to the movement feature information at the target moment, the target moment is determined as the target movement scene; the step length corresponding to the target moment is obtained as the first step length; the first step length Calculated by a preset method; according to the first step length and the target correction ratio, the step length corresponding to the updated target moment is the second step length; wherein, the motion feature information at least includes the athletic ability level and the stride frequency level.

In a second aspect, an embodiment of the present application provides a step size acquisition device, the device includes: a first acquisition module, configured to acquire, in a correction mode, target motion feature information within a target period in which the correction mode is located; first The determination module is used to determine the target movement scene corresponding to the target period according to the target movement feature information; the second acquisition module is used to obtain the first movement distance and the second movement distance in the target period respectively; the first movement distance is determined by the preset The second movement distance is obtained by measurement; the second determination module is used to determine the target correction ratio of the target movement scene according to the first movement distance and the second movement distance; the third determination module is used in the movement mode Next, according to the motion feature information of the target moment, determine that the target moment is the target motion scene; the third acquisition module is used to obtain the step size corresponding to the target moment as the first step length; the first step length is calculated by a preset method; The module is configured to update the step size corresponding to the target moment to the second step size according to the first step size and the target correction ratio; wherein, the motion feature information at least includes the motion ability level and the step frequency level.

In a third aspect, an embodiment of the present application provides an electronic device, the electronic device includes a processor, a memory, and a program or instruction stored in the memory and executable on the processor. When the program or instruction is executed by the processor, the The steps of the method of the first aspect.

In a fourth aspect, an embodiment of the present application provides a readable storage medium, where a program or an instruction is stored on the readable storage medium, and when the program or instruction is executed by a processor, the steps of the method of the first aspect are implemented.

In a fifth aspect, an embodiment of the present application provides a chip, where the chip includes a processor and a communication interface, the communication interface is coupled to the processor, and the processor is configured to run programs or instructions to implement the method of the first aspect.

In a sixth aspect, an embodiment of the present application provides a computer program product, the computer program product being executed by at least one processor to implement the method for obtaining the step size of the first aspect.

In this way, in the embodiments of the present application, a step size acquisition method is provided. First, in the correction mode, the user can exercise based on a relatively stable motion feature (such as a stable motion speed, etc.), so that the electronic device can input a motion scene corresponding to the motion feature. Among them, in the correction mode, the target motion feature information such as the target motion energy level and the target stride frequency of the target period in which the correction mode is located can be obtained as the motion feature of the period, so as to determine the target motion feature according to the target motion feature information. The target motion scene corresponding to the information. Secondly, after the target period ends, the first movement distance is calculated according to the preset method, and the second movement distance is measured by tools such as maps. Target correction scale. Therefore, based on the above correction mode, the correction ratio of each motion scene can be obtained. Then, when the user exercises in the exercise mode, the exercise scene corresponding to each moment can be determined according to the motion feature information such as the user's exercise energy level and cadence level at each moment. Therefore, at each moment, after the corresponding first step size is obtained based on the preset method, the correction ratio of the motion scene corresponding to the moment may be used to perform correction to obtain the corrected second step size. It can be seen that, compared with the first step, the corrected second step is combined with the actual motion characteristics of the user, so that the final obtained step is more accurate, thereby effectively improving the accuracy of the step obtaining method.

Description of drawings

Fig. 1 is one of the flowcharts of the step size acquisition method of the embodiment of the present application;

Fig. 2 is the second flow chart of the step size acquisition method according to the embodiment of the present application;

Fig. 3 is the third flow chart of the step size acquisition method of the embodiment of the present application;

FIG. 4 is the fourth flowchart of the step size acquisition method according to the embodiment of the present application;

FIG. 5 is the fifth flowchart of the step size acquisition method according to the embodiment of the present application;

6 is the sixth flowchart of the step size acquisition method according to the embodiment of the present application;

7 is a schematic interface diagram of an electronic device according to an embodiment of the present application;

8 is a block diagram of an apparatus for obtaining a step size according to an embodiment of the present application;

FIG. 9 is one of the schematic diagrams of the hardware structure of the electronic device according to the embodiment of the present application.

FIG. 10 is the second schematic diagram of the hardware structure of the electronic device according to the embodiment of the present application.

Detailed ways

The technical solutions in the embodiments of the present application will be clearly and completely described below with reference to the accompanying drawings in the embodiments of the present application. Obviously, the described embodiments are part of the embodiments of the present application, not all of the embodiments. Based on the embodiments in the present application, all other embodiments obtained by those of ordinary skill in the art without creative work fall within the protection scope of the present application.

The terms "first", "second" and the like in the description and claims of the present application are used to distinguish similar objects, and are not used to describe a specific order or sequence. It is to be understood that the data so used are interchangeable under appropriate circumstances so that the embodiments of the present application can be practiced in sequences other than those illustrated or described herein, and distinguish between "first", "second", etc. The objects are usually of one type, and the number of objects is not limited. For example, the first object may be one or more than one. In addition, "and/or" in the description and claims indicates at least one of the connected objects, and the character "/" generally indicates that the associated objects are in an "or" relationship.

The method for obtaining the step size provided by the embodiments of the present application will be described in detail below with reference to the accompanying drawings through specific embodiments and application scenarios thereof.

FIG. 1 shows a flowchart of a step size acquisition method according to an embodiment of the present application. The method is applied to an electronic device, including:

Step S1 : in the correction mode, acquire target motion feature information within the target period in which the correction mode is located.

Wherein, the motion feature information includes at least a motion ability level and a cadence level.

Correspondingly, the target motion feature information includes at least a target athletic ability level and a target cadence level.

Optionally, the electronic devices to which this embodiment is applicable include wearable devices such as wristbands and watches, and portable terminal devices such as mobile phones and tablets.

The application scenario of this embodiment is: when the user is exercising, the electronic device is carried or worn on the body.

In the prior art, the step size calculated by the electronic device through the formula is inaccurate due to individual differences during the user's exercise. Therefore, in this embodiment, based on the above phenomenon, a method for correcting the step size is proposed.

In this step, the correction mode is used for the user to obtain the correction ratio by exercising before exercising. Further, after the user enters the exercise mode and starts exercising, the correction ratio can be used to correct the step length calculated by the formula.

Optionally, the user enters the calibration mode through a preset input method.

For reference, the user clicks "Indoor Running Calibration Mode" on the watch to enter the calibration mode.

Optionally, the target time period is: the entire time period from the start time of the calibration mode to the end time of the calibration mode; optionally, the target time period is: from the start time of the calibration mode to the end time of the calibration mode, including a certain period of time.

For reference, in the correction mode, a period with relatively stable motion characteristics may be used as the target period to ensure that the data acquired in this correction mode is valid data.

The motion feature information in this embodiment at least includes motion energy and stride frequency. When the motion characteristics are relatively stable, the fluctuations of motion energy and cadence are kept within a small range, so that it is convenient to determine the motion scene corresponding to the correction mode in the correction mode.

It should be noted that, in this embodiment, a method for obtaining the step size through correction is provided. Because various factors such as different stride frequencies, different people, different motion energy, and different speeds will affect the accuracy of obtaining the step size, there are many factors that need to be considered when obtaining the correction ratio. In this embodiment, however, two variables, exercise energy and cadence, are mainly considered. In further embodiments, more variables may also be considered.

For reference, the target period may be a shorter duration such as one minute. In this way, the energy and cadence of the user in the target period can be kept within a small variation range, so as to obtain the target exercise energy level and the target cadence level corresponding to the target period.

For example, during the target period, the user has been running at a constant speed and maintained a habitual waving motion to ensure that energy and cadence can be kept within a small variation range.

Optionally, the electronic device collects acceleration sensor data, and uses the acceleration sensor data to calculate the target motion energy level and the target cadence level corresponding to the target time period.

For example, within the target period, the exercise energy level and cadence level at each moment can be calculated, and according to the exercise energy level and cadence level at each moment, the frequently occurring exercise energy level and cadence level can be obtained as the corresponding target period. target exercise energy level and target cadence level.

For another example, in the target period, the exercise energy level and cadence level at each moment can be calculated, and according to the exercise energy level and cadence level at each moment, the average exercise energy level and cadence level in the target period can be obtained as the target. The target exercise energy level and target cadence level corresponding to the time period.

In addition, in the case of using the acceleration sensor data to calculate the target exercise energy level and the target cadence level corresponding to the target period, it can also be combined with the age, gender, height, weight and other information related to the user's exercise recorded in the electronic device to improve the performance. Calculates the accuracy of the target exercise energy level and the target cadence level.

Optionally, when the user is actually exercising, the motion characteristics vary greatly, and therefore, in one motion, there are many motion scenes that appear. For example, during an exercise, the user may appear in various states such as fast running, jogging, and slow walking, and each state corresponds to a sports scene. In this way, in order to correct the obtained step size in each motion scene, the user can obtain the correction ratio of the motion scene corresponding to each motion feature by using various motion features in advance.

Before this step, each motion energy is divided into a plurality of grades in advance, and each cadence is divided into a plurality of grades.

Correspondingly, in this embodiment, the value of the target motion energy in the target period is obtained, and the level to which it belongs is determined according to the value; and the value of the target cadence in the target period is obtained, and according to the value, the the class to which it belongs.

Step S2: Determine the target motion scene corresponding to the target time period according to the target motion feature information.

In this step, the target motion energy level and the target cadence level are combined to determine a motion scene, that is, the target motion scene.

Optionally, based on different motion energy levels and different cadence levels, multiple motion scenes can be divided, so that based on different scenes, a correction ratio suitable for the scene can be obtained, and then the step size can be realized in different motion scenes. 's correction. In this way, the accuracy of obtaining the step size in each scene can be improved.

Among them, the more detailed the motion scene is divided, the more helpful it is to improve the accuracy of obtaining step size.

Step S3: respectively acquiring the first movement distance and the second movement distance within the target period.

Wherein, the first movement distance is calculated by a preset method, and the second movement distance is obtained by measurement.

Optionally, the preset manner is an algorithm in the background art. The algorithm includes calculating the step size by using the functional relationship, and taking the inner product of the step size vector and the step number vector within a period of motion to calculate the motion distance.

Optionally, the second movement distance is real distance data, which can be measured by a global positioning system (Global Positioning System, GPS for short) device, or can be measured by a high-precision device such as a treadmill.

The application scenario of this embodiment is, for example, after the target period ends, on the one hand, the first movement distance is calculated, and on the other hand, the end movement confirmation box pops up. After the user confirms, the distance calibration interface pops up, and the user inputs the second movement on the distance calibration interface. distance. Thus, the first movement distance and the second movement distance are obtained in this step.

Optionally, in order to avoid data loss in the distance calibration interface, the following solutions are proposed: 1. The calibration interface does not support right swipe to return, and the screen is turned off without exiting; 2. When in the distance calibration interface, if the user long presses The up button makes the electronic device shut down, or the electronic device is automatically shut down, etc., and the first movement distance is saved before shutting down.

Step S4: Determine the target correction ratio of the target movement scene according to the first movement distance and the second movement distance.

The target correction ratio obtained in this step is used to correct the step size calculated by a preset method in the target motion scene, so as to improve the accuracy of obtaining the step size.

The target correction ratio may be the ratio of the first movement distance to the second movement distance, or the ratio of the second movement distance to the first movement distance, or a ratio obtained by combining some coefficients, depending on the actual situation.

Step S5: In the motion mode, according to the motion feature information of the target time, determine the target time as the target motion scene.

For reference, the user clicks "indoor running mode" on the watch to enter the sports mode.

In the sports mode, the motion feature information at each moment can be obtained in real time, and the motion feature information includes at least the motion energy level and the cadence level. sports scene.

Wherein, the target time is any time, and the time is the target motion scene obtained above.

Step S6: the step size corresponding to the acquisition target time is the first step size.

The first step length is calculated by a preset method.

Based on the algorithm in the background art, the step size corresponding to this moment can be calculated as the first step size.

In this step, the first step length is obtained.

Among them, the first step length is the step length before correction.

Step S7: According to the first step length and the target correction ratio, update the step size corresponding to the target time as the second step size.

When the target moment corresponds to the target motion scene, the first step length is corrected by using the target correction ratio of the target motion scene to obtain the corrected second step size as the step size corresponding to the target moment.

Further, in the motion mode, based on the corrected step size at each moment, the inner product of the step size vector and the step number vector within a period of time is used to obtain the motion distance, so that the motion distance is closer to the real distance.

In this way, in the embodiments of the present application, a step size acquisition method is provided. First, in the correction mode, the user can exercise based on a relatively stable motion feature (such as a stable motion speed, etc.), so that the electronic device can input a motion scene corresponding to the motion feature. Among them, in the correction mode, the target motion feature information such as the target motion energy level and the target stride frequency of the target period in which the correction mode is located can be obtained as the motion feature of the period, so as to determine the target motion feature according to the target motion feature information. The target motion scene corresponding to the information. Secondly, after the target period ends, the first movement distance is calculated according to the preset method, and the second movement distance is measured by tools such as maps. Target correction scale. Based on the above correction mode, the correction ratio of each motion scene can be obtained. Then, when the user exercises in the exercise mode, the exercise scene corresponding to each moment can be determined according to the motion feature information such as the user's exercise energy level and cadence level at each moment. Therefore, at each moment, after the corresponding first step size is obtained based on the preset method, the correction ratio of the motion scene corresponding to the moment may be used to perform correction to obtain the corrected second step size. It can be seen that, compared with the first step, the corrected second step is combined with the actual motion characteristics of the user, so that the final obtained step is more accurate, thereby effectively improving the accuracy of the step obtaining method.

It should be noted that the sports mode can also be used as the correction mode. For example, in the exercise mode, the user is always running at a constant speed, so after the exercise mode ends, the measured exercise distance can be input to obtain the correction ratio.

In the flow of the step size obtaining method according to another embodiment of the present application, the first matrix includes N×M elements, and N and M are positive integers. In the first matrix, N motion energy levels and M cadence levels are included, and any motion energy level is combined with any cadence level to represent a motion scene.

As shown in Figure 2, step S2 includes:

Sub-step A1: Mark the first target element in the first matrix according to the target motion energy level and the target cadence level included in the target motion feature information.

Wherein, the first target element is used to represent the target motion scene.

Optionally, the motion energy is divided into 0-9 grades, and the step frequency is divided into 0-9 grades to construct a two-dimensional matrix, that is, the first matrix.

In the first matrix, rows 1 to 10 correspond to the motion energies of 10 gears respectively, and the motion energies corresponding to rows 1 to 10 increase row by row. Among them, row 0 is used as a backup, and elements are not stored for the time being to expand more sports scenes. Columns 1 to 10 correspond to 10 gears of cadence respectively, and the cadences corresponding to 1 to 10 columns decrease column by column. The first column corresponds to a stride frequency greater than 3.4 steps per second, and the corresponding stride frequency to the right decreases in turn. The tenth column saves non-running features, such as walking or standing on a treadmill. Among them, the 0th column is used as a backup, and elements are not stored for the time being to expand more sports scenes.

In this step, in the correction mode, the target functional energy level and the target stride frequency of the target period are obtained, and then in the first matrix, the corresponding row and column are found, so that the element at the corresponding position is used as the first target element , and mark it to associate the marked first target element with the target correction ratio for use in the subsequent step size correction.

In this embodiment, by constructing a matrix, various sports scenes can be represented by elements in the matrix. Wherein, the combination of the motion energy of each level and the cadence of each level can correspond to an element in the matrix, and each element corresponds to a motion scene. In this way, by means of a matrix, combined with different combinations of motion energy and cadence, multiple motion scenes can be divided in the matrix. The more elements in the first matrix, the finer the scene is divided, so that the step size can be corrected in more motion scenes, thereby greatly improving the accuracy of obtaining the step size. Wherein, the target motion scene can be determined in the first matrix by marking, so as to prepare for the subsequent association with the target correction ratio.

In the flow of the step size acquisition method according to another embodiment of the present application, as shown in FIG. 3 , step A1 includes:

Sub-step B1: Mark the element corresponding to each moment in the first matrix according to the motion energy level and cadence level of at least two moments in the target period.

Optionally, at each moment, the current exercise energy level and cadence level are obtained respectively, so as to find which row and which column each moment corresponds to in the first matrix, and mark the element at the corresponding position of each moment.

Optionally, for any moment, the movement energy at the current moment may be calculated based on the data of a period of about 1.5 seconds before the current moment, and the movement energy level may be obtained. In this way, the energy calculation is performed with the data in the time period, which can not only realize the calculation of the motion energy, but also ensure the timeliness of the calculation result.

Optionally, for any moment, the cadence level at the current moment may be obtained based on the cadence at the current moment, thereby ensuring the timeliness of the cadence level.

Sub-step B2: At the end of the target period, among the at least two marked elements, determine the first S elements with the highest marked frequency as the first target element.

Wherein, S is a positive integer, and S>1.

In this step, in the correction mode, considering that the user's motion characteristics may fluctuate, multiple elements will be marked, and the first S elements with the highest marked frequency may be used as the first target element.

That is, the number of target motion scenes in the target period is not limited to one, and may be multiple. However, the number of target motion scenes should not be too large, so as to avoid too many motion scenes spanning motion energy levels and stride frequency levels that are too large to reflect the true motion characteristics of the target period.

Optionally, the value of S is related to the number of elements of the first matrix. For example, the first matrix includes 100 elements, and the value of S can be defined as 3, that is, the 3 elements with the highest marked frequency are used as the first target elements.

In this embodiment, in the correction mode, multiple motion scenes can be determined by the motion energy levels and cadence levels at multiple times, and then among the multiple motion scenes, the motion scene with the most frequent occurrences is found as the target Motion scene to avoid the unrepresentative motion scene being mistakenly regarded as the target motion scene due to fluctuation of user motion characteristics. Further, in this embodiment, the motion scenes at each moment are reflected in the first matrix by means of marking, so as to find several motion scenes that appear more frequently from the marked situation as the target motion scenes.

In the flow of the step size obtaining method according to another embodiment of the present application, at the end of the target period, the marked elements in the first matrix are analyzed. If the distribution of marked elements is discrete, the data generated in this calibration mode is considered invalid. Because the marked elements are scattered, it means that the user's motion characteristics are unstable, so that the motion scene cannot be determined based on the unstable motion characteristics.

In the flow of the step size obtaining method according to another embodiment of the present application, at the start time of the target period, the value of each element of the first matrix is 0.

As shown in Figure 4, step A1 includes:

Sub-step C1: Mark the first target element by accumulating a preset value for the value of the first target element.

Optionally, the default value is 1.

The application scenario is, for example, calculating the current motion energy level and cadence level, and finding which row and column of the first matrix the current moment corresponds to, and adding 1 to the value of the element at the corresponding position.

Further, after the target period, in the first matrix, find the first S elements with the largest value, that is, the first target element.

In another solution, after the target period, in the first matrix, the values of all elements are divided by the sum of the element values to obtain the percentage, so as to find the first S elements with the largest percentage value, that is, the first target element .

Among them, in this solution, if the obtained percentages are all small, if none of them reach the preset percentage, it is considered that the distribution of the marked elements is discrete, the user's motion characteristics are unstable, and the data generated in this correction mode is invalid.

Wherein, before the start time of the target period, the value of each element in the first matrix needs to be cleared to 0, so as to avoid interference to the data generated by this correction mode.

In this embodiment, an accumulation method is proposed to mark the elements in the first matrix, the marking method is simple, and it is convenient to quickly obtain the first target element through the value of the element.

In the flow of the step size obtaining method according to another embodiment of the present application, the second matrix includes N×M elements. The elements in the second matrix correspond one-to-one with the elements in the first matrix, and the elements in the second matrix are used to represent the correction ratio of the corresponding motion scene.

As shown in Figure 5, after step S2, it also includes:

Step D1: Determine a second target element corresponding to the first target element in the second matrix according to the first target element in the first matrix.

Step D2: Update the value of the second target element according to the target correction ratio.

In this embodiment, a second matrix is constructed, and the element distribution of the second matrix is consistent with that of the first matrix.

Wherein, the first matrix is used to save the motion scenes combined with motion features and the time length ratio of each motion scene in one correction mode; the second matrix is used to save the correction ratios in different motion scenes corresponding to the first matrix.

Optionally, all correction ratios for a user may be accumulated in the second matrix based on individual differences between each user.

For example, in the first matrix, the corresponding position of a row and a certain column is the a1 element, and in the second matrix, the a2 element is found in the same position. For the motion scene represented by the a1 element, in the one-time correction mode, the correction ratio is b1, then on the basis of the current value of the a2 element, it is updated according to b1 to obtain the updated value of c1. In the next correction mode, the correction ratio is obtained as b2, then on the basis of c1, it is updated according to b2 to obtain the updated value of c2.

It can be seen that, corresponding to the second matrix, as long as the user information is not changed, the value of the elements in the second matrix does not need to be restored to the initial value. The correction ratios obtained for multiple times are continuously accumulated, which can make the correction ratio of the same motion scene more and more accurate, so as to achieve the purpose of self-learning calibration.

For reference, before the electronic device is shut down, the data in the second matrix can be automatically saved to the file system. After the next power-on, first perform a conventional initialization operation on the second matrix, set the value of each element to the initial value, and then reload the data in the second matrix saved in the file system.

In this embodiment, after it is determined in the first matrix that the current scene corresponds to the first target element, according to the row and column where the first target element is located, the corresponding second target element can be found in the second matrix, so that the obtained The target correction ratio is reflected by the value of the second target element. In this way, in the motion mode, the user determines the correction ratio of the corresponding motion scene in the second matrix for the motion energy level and cadence level obtained at each moment, so as to realize the correction of the step size, thereby improving the accuracy of obtaining the step size.

It should be noted that, in the motion mode, the correction ratio can be directly determined in the second matrix to realize the correction of the step size. Additionally, motion scenes can also be marked in the first matrix for self-learning alignment.

In the flow of the step size obtaining method according to another embodiment of the present application, the initial value of each element of the second matrix is 1. As shown in Figure 6, step D2 includes:

Sub-step E1: Multiply the value of the second target element by the target correction ratio to obtain the updated value of the second target element.

The target correction ratio is the ratio of the second movement distance to the first movement distance.

In this embodiment, the initial value of each element of the second matrix is 1, and the value of the element of the second matrix is multiplied by the correction ratio, so that the value of the element of the second matrix can represent the correction ratio. The values of the elements in the second matrix are used in the correction of the step size.

In this embodiment, based on the fact that the initial value of the elements of the corresponding row and the corresponding column of the second matrix is 1, the correction ratio can be directly recorded in the second matrix by multiplying the correction ratio. Moreover, multiple correction ratios obtained in the same motion scene can be recorded in a cumulative manner, so that the correction ratios are more and more accurate.

In the application scenario of the step size acquisition method of another embodiment of the present application, in the calibration mode, if it is detected that the user stops moving, or the preset time is detected, the calibration mode is considered to be over, and the user is prompted to start calibrating the distance.

Among them, in one case, if the value of the first movement distance is less than 0.10 kilometers, the pop-up box will prompt "If the movement distance is too short, there will be no record to end the movement. Are you sure you want to end the movement?"; If the movement distance value is greater than or equal to 0.10 km, enter the distance calibration interface.

Further, referring to Fig. 7, in the distance calibration interface, after obtaining the first movement distance of the motion report, this distance is used as a reference (default value), and calculates the increment of every grid (the increase or decrease of the distance of every sliding one grid up and down in the calibration interface). Amplitude), the formula is: increment per grid = 0.01*((rounding (rounding (x)/3))+1), where x is the first movement distance; then, select the growth direction of the list, optional The number is 50; in the decreasing direction, the maximum optional number is 50, and negative numbers and zeros are not allowed.

Table 1

Referring to Table 1, according to the first movement distance, a distance calibration scheme is designed to facilitate the user to input the second movement distance.

Further, after the user selects the second exercise distance, the distance is taken as the actual exercise distance, and the average pace, broken line pace, maximum pace and minimum pace are recalculated, stored in the exercise report, and displayed on the exercise report screen. . When viewing the indoor exercise record from the exercise record again, the calibrated distance and pace are displayed.

When the distance selected in the distance calibration interface is consistent with the original data, there is no need to recalculate the average pace again.

Among them, the average pace = (exercise duration\calibration distance);

Pace scaling ratio X=(distance given by algorithm\calibration distance);

Maximum pace = maximum pace given by the algorithm *X;

Minimum pace = minimum pace given by the algorithm *X;

Broken line pace = broken line pace *X.

This embodiment provides a method for the user to input the second movement distance by setting a plurality of adjustment grids. In this way, the user can complete the input through a simple adjustment operation, and the operation is simple. At the same time, such an input method can intuitively reflect the relationship with the first movement distance, so that the user can understand the calculation deviation of the electronic device.

To sum up, in the embodiment of the present application, different motion scenes are divided into different motion scenes according to different motion feature combinations, and each motion scene (slow, medium and fast running at various speeds) is corrected one by one to obtain the correction ratio in each motion scene. It can be seen that this application takes into account the individual differences of each person resulting in different exercise habits, thereby affecting the step size, so that the step size in each motion scene is corrected, so that the final step size obtained in each scene can reach Very high accuracy. After testing, compared with the prior art, the embodiment of the present application improves the accuracy of obtaining the step size by 12 percentage points, and can reach an accuracy of 97%.

It should be noted that, in the step size acquisition method provided by the embodiments of the present application, the execution body may be a step size acquisition device, or a control module in the step size acquisition device for executing the step size acquisition method. In the embodiment of the present application, the step size acquisition device of the step size acquisition method provided by the embodiment of the present application is described by taking the step size acquisition device executing the step size acquisition method as an example.

8 shows a block diagram of an apparatus for obtaining a step size according to another embodiment of the present application, including:

The first acquisition module 10 is configured to acquire, in the correction mode, target motion feature information within the target time period in which the correction mode is located;

The first determining module 20 is configured to determine the target motion scene corresponding to the target time period according to the target motion feature information;

The second obtaining module 30 is used to obtain the first movement distance and the second movement distance respectively within the target time period; the first movement distance is calculated by a preset method, and the second movement distance is obtained by measurement;

The second determination module 40 is configured to determine the target correction ratio of the target movement scene according to the first movement distance and the second movement distance;

The third determining module 50 is configured to, in the motion mode, determine the target moment as the target motion scene according to the motion feature information of the target moment;

The third obtaining module 60 is used to obtain the step size corresponding to the target moment as the first step length; the first step length is calculated by a preset method;

The correction module 70 is configured to update the step size corresponding to the target moment to the second step size according to the first step length and the target correction ratio;

Optionally, the first matrix includes N×M elements, and N and M are positive integers; in the first matrix, it includes N motion energy levels and M cadence levels, and any motion energy level and any cadence level. Level combination, used to represent a sports scene;

The first determination module 20 includes:

a marking unit for marking the first target element in the first matrix according to the target movement energy level and the target cadence level included in the target movement feature information;

Wherein, the first target element is used to represent the target motion scene.

Optionally, a marking unit, including:

The multi-element marking subunit is used to mark the element corresponding to each moment in the first matrix respectively according to the motion energy level and the cadence level of at least two moments in the target period;

Multi-element determination subunit, for at the end moment of the target period, in at least two marked elements, it is determined that the first S elements with the highest marked frequency are the first target elements;

Wherein, S is a positive integer, and S>1.

Optionally, at the beginning of the target period, the value of each element of the first matrix is 0; the marking unit includes:

The value accumulation subunit is used to mark the first target element by accumulating a preset value for the value of the first target element.

Optionally, the second matrix includes N×M elements; the elements in the second matrix are in one-to-one correspondence with the elements in the first matrix, and the elements in the second matrix are used to represent the correction ratio of the corresponding motion scene;

device, which also includes:

a fourth determination module, configured to determine a second target element corresponding to the first target element in the second matrix according to the first target element in the first matrix;

The updating module is configured to update the value of the second target element according to the target correction ratio.

Optionally, the initial value of each element of the second matrix is 1; the update module includes:

A value update unit, for multiplying the value of the second target element with the target correction ratio to obtain the value of the updated second target element;

The apparatus for obtaining the step size in this embodiment of the present application may be an apparatus, or may be a component, an integrated circuit, or a chip in a terminal. The apparatus may be a mobile electronic device or a non-mobile electronic device. Exemplarily, the mobile electronic device may be a mobile phone, a tablet computer, a notebook computer, a palmtop computer, an in-vehicle electronic device, a wearable device, an ultra-mobile personal computer (UMPC), a netbook, or a personal digital assistant (personal digital assistant). assistant, PDA), etc., non-mobile electronic devices can be servers, network attached storage (Network Attached Storage, NAS), personal computer (personal computer, PC), television (television, TV), teller machine or self-service machine, etc., this application Examples are not specifically limited.

The step size obtaining device in this embodiment of the present application may be a device having an operating system. The operating system may be an Android (Android) operating system, an ios operating system, or other possible operating systems, which are not specifically limited in the embodiments of the present application.

The step size obtaining apparatus provided in the embodiment of the present application can implement each process implemented by the foregoing method embodiment, and in order to avoid repetition, details are not repeated here.

Optionally, as shown in FIG. 9 , an embodiment of the present application further provides an electronic device 100, including a processor 101, a memory 102, a program or instruction stored in the memory 102 and executable on the processor 101, When the program or instruction is executed by the processor 101, each process of any one of the foregoing step size acquisition method embodiments can be implemented, and the same technical effect can be achieved. To avoid repetition, details are not described here.

It should be noted that the electronic devices in the embodiments of the present application include the aforementioned mobile electronic devices and non-mobile electronic devices.

FIG. 10 is a schematic diagram of a hardware structure of an electronic device implementing an embodiment of the present application.

The electronic device 1000 includes but is not limited to: a radio frequency unit 1001, a network module 1002, an audio output unit 1003, an input unit 1004, a sensor 1005, a display unit 1006, a user input unit 1007, an interface unit 1008, a memory 1009, a processor 1010 and other components .

Those skilled in the art can understand that the electronic device 1000 may also include a power source (such as a battery) for supplying power to various components, and the power source may be logically connected to the processor 1010 through a power management system, so that the power management system can manage charging, discharging, and power functions. consumption management and other functions. The structure of the electronic device shown in FIG. 10 does not constitute a limitation on the electronic device, and the electronic device may include more or less components than the one shown, or combine some components, or arrange different components, which will not be repeated here. .

Wherein, the processor 1010 is configured to, in the correction mode, acquire target motion feature information within the target period in which the correction mode is located; and determine the target motion scene corresponding to the target period according to the target motion feature information; The first movement distance and the second movement distance in the target period are obtained respectively; the first movement distance is calculated by a preset method, and the second movement distance is obtained by measurement; according to the first movement distance and the The second movement distance is determined, and the target correction ratio of the target movement scene is determined; in the movement mode, according to the movement feature information at the target moment, it is determined that the target moment is the target movement scene; the step corresponding to the target moment is obtained. length is the first step length; the first step length is calculated by the preset method; according to the first step length and the target correction ratio, update the step length corresponding to the target moment to the second step length ; wherein, the motion feature information includes at least a motion ability level and a cadence level.

Optionally, the first matrix includes N×M elements, and N and M are positive integers; in the first matrix, it includes N motion energy levels and M cadence levels, any one motion energy level and any one. The cadence level combination is used to represent a motion scene; the processor 1010 is further configured to mark the first target element in the first matrix according to the target motion energy level and the target cadence level included in the target motion feature information ; wherein, the first target element is used to represent the target motion scene.

Optionally, the processor 1010 is further configured to mark the element corresponding to each moment in the first matrix according to the motion energy level and the cadence level of at least two moments in the target period; At the end time of the target period, among the at least two marked elements, the first S elements with the highest marked frequency are determined as the first target elements; wherein, S is a positive integer, and S>1.

Optionally, at the beginning of the target period, the value of each element of the first matrix is 0; the processor 1010 is further configured to accumulate a pre-determined value by adding a value to the first target element. The first target element is marked in the manner of setting a value.

Optionally, the second matrix includes N×M elements; the elements in the second matrix are in one-to-one correspondence with the elements in the first matrix, and the elements in the second matrix are used to represent the corresponding motion the correction ratio of the scene; the processor 1010 is further configured to determine a second target element corresponding to the first target element in the second matrix according to the first target element in the first matrix; according to The target correction ratio is used to update the value of the second target element.

Optionally, the initial value of each element of the second matrix is 1; the processor 1010 is further configured to multiply the value of the second target element by the target correction ratio to obtain an updated The value of the second target element; wherein, the target correction ratio is the ratio of the second movement distance to the first movement distance.

It should be understood that, in this embodiment of the present application, the input unit 1004 may include a graphics processor (Graphics Processing Unit, GPU) 10041 and a microphone 10042. Such as camera) to obtain still pictures or video image data for processing. The display unit 1006 may include a display panel 10061, which may be configured in the form of a liquid crystal display, an organic light emitting diode, or the like. The user input unit 1007 includes a touch panel 10071 and other input devices 10072 . The touch panel 10071 is also called a touch screen. The touch panel 10071 may include two parts, a touch detection device and a touch controller. Other input devices 10072 may include, but are not limited to, physical keyboards, function keys (such as volume control keys, switch keys, etc.), trackballs, mice, and joysticks, which will not be repeated here. Memory 1009 may be used to store software programs as well as various data, including but not limited to application programs and operating systems. Memory 1009 may include Read-Only Memory (ROM), Random Access Memory (RAM), magnetic disk storage media devices, optical storage media devices, flash memory devices, electrical, optical or other physical/tangible memory storage device. Memory 1009 includes one or more tangible (non-transitory) computer-readable storage media (eg, memory devices) encoded with software including computer-executable instructions, and when the software is executed (eg, processed by one or more device), it is operable to perform the operations described with reference to the step size obtaining method according to the embodiment of the present application. The processor 1010 may integrate an application processor and a modem processor, wherein the application processor mainly processes the operating system, user interface, and application programs, and the like, and the modem processor mainly processes wireless communication. It can be understood that, the above-mentioned modulation and demodulation processor may not be integrated into the processor 1010. The above-mentioned processor 1010 may include a central processing unit (CPU), or a specific integrated circuit (Application Specific Integrated Circuit, ASIC), or may be configured to implement one or more integrated circuits of the embodiments of the present application.

The embodiments of the present application further provide a readable storage medium, where a program or an instruction is stored on the readable storage medium, and when the program or instruction is executed by a processor, each process of any one of the foregoing step size acquisition method embodiments is implemented, And can achieve the same technical effect, in order to avoid repetition, it is not repeated here.

Wherein, the processor is the processor in the electronic device described in the foregoing embodiments. The readable storage medium includes a computer-readable storage medium, such as a computer read-only memory (Read-Only Memory, ROM), a random access memory (Random Access Memory, RAM), a magnetic disk or an optical disk, and the like.

An embodiment of the present application further provides a chip, where the chip includes a processor and a communication interface, the communication interface is coupled to the processor, and the processor is used to run a program or an instruction to achieve any of the above step size acquisitions Each process of the method embodiment can achieve the same technical effect, and in order to avoid repetition, it will not be repeated here.

It should be understood that the chip mentioned in the embodiments of the present application may also be referred to as a system-on-chip, a system-on-chip, a system-on-a-chip, or a system-on-a-chip, or the like.

It should be noted that, herein, the terms "comprising", "comprising" or any other variation thereof are intended to encompass non-exclusive inclusion, such that a process, method, article or device comprising a series of elements includes not only those elements, It also includes other elements not expressly listed or inherent to such a process, method, article or apparatus. Without further limitation, an element qualified by the phrase "comprising a..." does not preclude the presence of additional identical elements in a process, method, article or apparatus that includes the element. Furthermore, it should be noted that the scope of the methods and apparatus in the embodiments of the present application is not limited to performing the functions in the order shown or discussed, but may also include performing the functions in a substantially simultaneous manner or in the reverse order depending on the functions involved. To perform functions, for example, the described methods may be performed in an order different from that described, and various steps may also be added, omitted, or combined. Additionally, features described with reference to some examples may be combined in other examples.

From the description of the above embodiments, those skilled in the art can clearly understand that the methods of the above embodiments can be implemented by means of software plus a necessary general hardware platform, and of course hardware can also be used, but in many cases the former is better implementation. Based on this understanding, the technical solution of the present application can be embodied in the form of a software product in essence or in a part that contributes to the prior art, and the computer software product is stored in a storage medium (such as ROM/RAM, magnetic disk, CD-ROM), including several instructions to make a terminal (which may be a mobile phone, a computer, a server, an air conditioner, or a network device, etc.) execute the methods described in the various embodiments of this application.

The embodiments of the present application have been described above in conjunction with the accompanying drawings, but the present application is not limited to the above-mentioned specific embodiments, which are merely illustrative rather than restrictive. Under the inspiration of this application, without departing from the scope of protection of the purpose of this application and the claims, many forms can be made, which all fall within the protection of this application.

Claims

A step size acquisition method, including:

In the correction mode, obtain the target motion feature information within the target period in which the correction mode is located;

According to the target motion feature information, determine the target motion scene corresponding to the target time period;

respectively acquiring the first movement distance and the second movement distance in the target period; the first movement distance is calculated by a preset method, and the second movement distance is obtained by measurement;

Determine the target correction ratio of the target movement scene according to the first movement distance and the second movement distance;

In the motion mode, according to the motion feature information of the target moment, it is determined that the target moment is the target motion scene;

Obtaining the step size corresponding to the target moment is the first step size; the first step size is calculated by the preset method;

According to the first step size and the target correction ratio, update the step size corresponding to the target moment to the second step size;

Wherein, the motion feature information includes at least a motion ability level and a cadence level.
The method according to claim 1, wherein the first matrix includes N×M elements, and N and M are positive integers; in the first matrix, it includes N motion energy levels and M cadence levels, any A motion energy level is combined with any cadence level to represent a motion scene;

The determining the target motion scene corresponding to the target time period according to the target motion feature information includes:

Mark the first target element in the first matrix according to the target motion energy level and the target cadence level included in the target motion feature information;

Wherein, the first target element is used to represent the target motion scene.
method according to claim 2, wherein, described according to the target motion energy level and target cadence level that described target motion characteristic information comprises, mark the first target element in described first matrix, comprise:

Mark the element corresponding to each moment in the first matrix according to the motion energy level and cadence level of at least two moments in the target period;

At the end of the target period, among the at least two marked elements, determine the first S elements with the highest marked frequency as the first target element;

Wherein, S is a positive integer, and S>1.
The method according to claim 2, wherein, at the beginning of the target period, the value of each element of the first matrix is 0; the marking of the first target element in the first matrix ,include:

The first target element is marked by adding a preset value to the value of the first target element.
The method of claim 2, wherein the second matrix includes N×M elements; the elements in the second matrix correspond one-to-one with the elements in the first matrix, and the elements in the second matrix The element is used to represent the correction scale of the corresponding motion scene;

After determining the target correction ratio of the target movement scene according to the first movement distance and the second movement distance, the method further includes:

determining a second target element corresponding to the first target element in the second matrix according to the first target element in the first matrix;

According to the target correction ratio, the value of the second target element is updated.
The method according to claim 5, wherein the initial value of each element of the second matrix is 1; the updating the value of the second target element comprises:

Multiplying the value of the second target element by the target correction ratio to obtain the updated value of the second target element;

The target correction ratio is a ratio of the second movement distance to the first movement distance.
A step size acquisition device, comprising:

a first acquisition module, configured to acquire, in a correction mode, target motion feature information within a target period in which the correction mode is located;

The first determination module is used to determine the target motion scene corresponding to the target time period according to the target motion feature information;

a second obtaining module, configured to obtain the first movement distance and the second movement distance respectively within the target period; the first movement distance is calculated by a preset method, and the second movement distance is obtained by measurement;

a second determination module, configured to determine the target correction ratio of the target movement scene according to the first movement distance and the second movement distance;

A third determining module, configured to determine the target moment as the target motion scene according to the motion feature information of the target moment in the motion mode;

a third obtaining module, configured to obtain the step size corresponding to the target moment as the first step length; the first step length is calculated by the preset method;

a correction module, configured to update the step size corresponding to the target moment to the second step size according to the first step length and the target correction ratio;

Wherein, the motion feature information includes at least a motion ability level and a cadence level.
The apparatus according to claim 7, wherein the first matrix includes N×M elements, and N and M are positive integers; in the first matrix, it includes N motion energy levels and M cadence levels, any A motion energy level is combined with any cadence level to represent a motion scene;

The first determining module includes:

a marking unit, configured to mark the first target element in the first matrix according to the target movement energy level and the target cadence level included in the target movement feature information;

Wherein, the first target element is used to represent the target motion scene.
The apparatus of claim 8, wherein the marking unit comprises:

a multi-element marking subunit, configured to mark the element corresponding to each moment in the first matrix according to the motion energy level and the cadence level of at least two moments in the target period;

A multi-element determination subunit, configured to, at the end moment of the target period, among at least two marked elements, determine the first S elements with the highest marked frequency as the first target element;

Wherein, S is a positive integer, and S>1.
The device according to claim 8, wherein, at the beginning of the target period, the value of each element of the first matrix is 0; the marking unit comprises:

The value accumulation subunit is configured to mark the first target element by accumulating a preset value for the value of the first target element.
The apparatus of claim 8, wherein the second matrix includes N×M elements; the elements in the second matrix correspond one-to-one with the elements in the first matrix, and the elements in the second matrix The element is used to represent the correction scale of the corresponding motion scene;

The device also includes:

a fourth determination module, configured to determine a second target element corresponding to the first target element in the second matrix according to the first target element in the first matrix;

An update module, configured to update the value of the second target element according to the target correction ratio.
The device according to claim 11, wherein the initial value of each element of the second matrix is 1; the updating module comprises:

A value updating unit, for multiplying the value of the second target element by the target correction ratio to obtain the updated value of the second target element;

The target correction ratio is a ratio of the second movement distance to the first movement distance.
An electronic device, comprising a processor, a memory, and a program or instruction stored on the memory and executable on the processor, the program or instruction being executed by the processor to implement claims 1-6 any one of the steps of the step size acquisition method.
A chip, comprising a processor and a communication interface, wherein the communication interface is coupled with the processor, and the processor is used to run a program or an instruction to implement the step size acquisition method according to any one of claims 1-6 .
A computer program product, characterized in that, the computer program product is executed by at least one processor to implement the step size acquisition method according to any one of claims 1-6.