CN114904252A

CN114904252A - Method and device for determining standing long jump data by wearable equipment

Info

Publication number: CN114904252A
Application number: CN202210610717.2A
Authority: CN
Inventors: 秦靖萱
Original assignee: Zhenshi Information Technology Shanghai Co ltd
Current assignee: Zhenshi Information Technology Shanghai Co ltd
Priority date: 2022-06-01
Filing date: 2022-06-01
Publication date: 2022-08-16

Abstract

The invention discloses a method and a device for determining standing long jump data by wearable equipment, wherein the method comprises the following steps: the wearable device obtains data of the acceleration sensor in the standing long jump mode, determines a jump point and a landing point according to the data of the acceleration sensor, determines movement time of the standing long jump according to the time stamps of the jump point and the landing point, and determines the data of the standing long jump according to the movement time of the standing long jump, the data of the height sensor and the data of the acceleration sensor. The height and the distance of the standing jump are determined jointly by combining the data of the acceleration sensor and the data of the height sensor, and compared with a scheme of identifying the standing jump through visual data in the prior art, the method is high in processing efficiency, low in dependence on a camera and capable of improving user experience.

Description

Method and device for determining standing long jump data by wearable equipment

Technical Field

The embodiment of the invention relates to the technical field of intelligent equipment, in particular to a method and a device for determining standing long jump data by wearable equipment.

Background

In recent years, wearable devices have become popular, i.e. wearable devices that are worn directly on the body or are a portable device integrated into the clothing or accessories of the user. Wearable equipment is not only a hardware equipment, realizes powerful function through software support and data interaction, high in the clouds interaction more, and wearable equipment will bring very big transition to our life, perception.

At present, wearable equipment has various functions, and is particularly popular among parents of primary and secondary schools. In students' middle school entrance examination, sports is a key item. Therefore, wearable devices need to provide data support for sports for students, so that students can know their performance without measuring tools. The existing standing long jump action recognition is mainly realized based on visual recognition, and the scheme has high requirements on a camera and is expensive. Therefore, a scheme that can record various sports data is highly desirable.

Disclosure of Invention

The embodiment of the invention provides a method and a device for determining standing long jump data by wearable equipment, which can automatically calculate the standing long jump data and facilitate users to intuitively know the scores of the users.

In a first aspect, an embodiment of the present invention provides a method for determining standing long jump data by a wearable device, including:

the wearable device obtains data of the acceleration sensor in a standing long jump mode;

the wearable device determines a jumping point and a landing point according to the data of the acceleration sensor; determining the movement time of standing long jump according to the time stamps of the take-off point and the landing point;

and the wearable device determines the standing long jump data according to the movement time of the standing long jump, the data of the height sensor and the data of the acceleration sensor.

Optionally, the wearable device determines a take-off point and a landing point according to the data of the acceleration sensor, including:

and the wearable device determines the take-off point and the landing point of the standing jump according to the minimum value point in the data of the acceleration sensor.

Optionally, the determining, by the wearable device, the standing jump data according to the movement time of the standing jump, the data of the height sensor, and the data of the acceleration sensor includes:

the wearable equipment determines the height of the standing long jump in the vertical direction according to the movement time of the standing long jump and the data of the height sensor;

and the wearable device determines the horizontal distance of the standing long jump according to the data of the acceleration sensor, the movement time of the standing long jump and the height of the standing long jump in the vertical direction.

Optionally, the determining, by the wearable device, the horizontal distance of the standing jump by using the data of the acceleration sensor, the movement time of the standing jump and the height of the standing jump in the vertical direction includes:

the wearable equipment determines the three-axis vector sum of the acceleration sensor data of the take-off point as the initial speed of the standing jump;

the wearable device determines the initial speed of the standing long jump in the vertical direction according to the movement time of the standing long jump, the data of the height sensor and the gravity acceleration;

the wearable device determines the speed of the standing long jump in the horizontal direction according to the initial speed of the standing long jump and the speed of the standing long jump in the vertical direction;

and the wearable device determines the horizontal distance of the standing long jump according to the speed of the standing long jump in the horizontal direction and the movement time of the standing long jump.

In a second aspect, an embodiment of the present invention provides an apparatus for determining standing long jump data by a wearable device, including:

the acquisition unit is used for acquiring data of the acceleration sensor in the standing long jump mode;

the processing unit is used for determining a jumping point and a landing point according to the data of the acceleration sensor; determining the movement time of standing long jump according to the time stamps of the take-off point and the landing point; and determining the standing long jump data according to the movement time of the standing long jump, the data of the height sensor and the data of the acceleration sensor.

Optionally, the processing unit is specifically configured to:

and determining the take-off point and the landing point of the standing jump according to the minimum value point in the data of the acceleration sensor.

Optionally, the processing unit is specifically configured to:

determining the height of the standing long jump in the vertical direction according to the movement time of the standing long jump and the data of the height sensor;

and determining the horizontal distance of the standing jump according to the data of the acceleration sensor, the movement time of the standing jump and the height of the standing jump in the vertical direction.

Optionally, the processing unit is specifically configured to:

determining the triaxial vector sum of the acceleration sensor data of the take-off point as the initial speed of the standing jump;

determining the initial speed of the standing long jump in the vertical direction according to the movement time of the standing long jump, the data of the height sensor and the gravity acceleration;

determining the speed of the standing long jump in the horizontal direction according to the initial speed of the standing long jump and the speed of the standing long jump in the vertical direction;

and determining the horizontal distance of the standing long jump according to the speed of the standing long jump in the horizontal direction and the movement time of the standing long jump.

In a third aspect, an embodiment of the present invention further provides a computing device, including:

a memory for storing program instructions;

and the processor is used for calling the program instruction stored in the memory and executing the method for determining the standing long jump data of the wearable device according to the obtained program.

In a fourth aspect, the embodiment of the present invention further provides a computer-readable non-volatile storage medium, which includes computer-readable instructions, and when the computer reads and executes the computer-readable instructions, the computer is caused to execute the method for determining standing long jump data by using the wearable device described above.

In the embodiment of the invention, the wearing equipment acquires data of the acceleration sensor in the standing long jump mode, determines the jump point and the landing point according to the data of the acceleration sensor, determines the movement time of the standing long jump according to the time stamps of the jump point and the landing point, and determines the data of the standing long jump according to the movement time of the standing long jump, the data of the height sensor and the data of the acceleration sensor. The height and the distance of the standing jump are determined jointly by combining the data of the acceleration sensor and the data of the height sensor, and compared with a scheme of identifying the standing jump through visual data in the prior art, the method is high in processing efficiency, low in dependence on a camera and capable of improving user experience.

Drawings

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

FIG. 1 is a diagram illustrating a system architecture according to an embodiment of the present invention;

fig. 2 is a schematic flowchart of a method for determining standing long jump data by a wearable device according to an embodiment of the present invention;

fig. 3 is a schematic flowchart of a method for determining standing long jump data by a wearable device according to an embodiment of the present invention;

fig. 4 is a schematic structural diagram of an apparatus for determining standing long jump data by a wearable device according to an embodiment of the present invention.

Detailed Description

In order to make the objects, technical solutions and advantages of the present invention clearer, the present invention will be described in further detail with reference to the accompanying drawings, and it is apparent that the described embodiments are only a part of the embodiments of the present invention, not all of the embodiments. All other embodiments, which can be derived by a person skilled in the art from the embodiments given herein without making any creative effort, shall fall within the protection scope of the present invention.

First, a wearable device to which an embodiment of the present invention is applied will be described with reference to a structure shown in fig. 1. In the embodiment of the present invention, the wearable device 100 may include, but is not limited to, a Radio Frequency (RF) circuit 110, a memory 120, an input unit 130, a WiFi module 170, a display unit 140, a sensor 150, an audio circuit 160, a processor 180, and a motor 190.

Wherein those skilled in the art will appreciate that the wearable device 100 configuration shown in fig. 1 is merely exemplary and not limiting, the wearable device 100 may also include more or fewer components than shown, or combine certain components, or a different arrangement of components.

The RF circuit 110 may be used for receiving and transmitting signals during information transmission and reception or during a call, and in particular, for processing downlink information of a base station after receiving the downlink information; in addition, the uplink data of the wearable device 100 is sent to the base station. Typically, the RF circuitry includes, but is not limited to, an antenna, at least one Amplifier, a transceiver, a coupler, a Low Noise Amplifier (LNA), a duplexer, and the like. In addition, the RF circuitry 110 may also communicate with networks and other devices via wireless communications. The wireless communication may use any communication standard or protocol, including but not limited to Global System for Mobile communication ("GSM"), General Packet Radio Service ("GPRS"), Code Division Multiple Access ("CDMA"), Wideband Code Division Multiple Access ("WCDMA"), Long Term Evolution ("LTE"), email, Short message Service ("SMS"), and the like.

The memory 120 may be used to store software programs and modules, and the processor 180 executes various functional applications and data processing of the wearable device 100 by operating the software programs and modules stored in the memory 120. The memory 120 may mainly include a program storage area and a data storage area, wherein the program storage area may store an operating system, an application program required by at least one function (such as a sound playing function, an image playing function, etc.), and the like; the storage data area may store data (such as audio data, a phonebook, etc.) created according to the use of the wearable device 100, and the like. Further, the memory 120 may include high speed random access memory, and may also include non-volatile memory, such as at least one magnetic disk storage device, flash memory device, or other volatile solid state storage device.

The input unit 130 may be used to receive input numeric or character information and generate key signals related to user settings and function control of the wearable device 100. Specifically, the input unit 130 may include a touch panel 131, an image pickup device 132, and other input devices 133. The image capturing device 132 can photograph the image to be captured, so as to transmit the image to the processor 150 for processing, and finally, present the image to the user through the display panel 141. The touch panel 131, also referred to as a touch screen, may collect touch operations of a user on or near the touch panel 131 (e.g., operations of the user on or near the touch panel 131 using any suitable object or accessory such as a finger or a stylus pen), and drive the corresponding connection device according to a preset program. Alternatively, the touch panel 131 may include two parts, i.e., a touch detection device and a touch controller. The touch detection device detects the touch direction of a user, detects a signal brought by touch operation and transmits the signal to the touch controller; the touch controller receives touch information from the touch sensing device, converts the touch information into touch point coordinates, sends the touch point coordinates to the processor 180, and can receive and execute commands sent by the processor 180. In addition, the touch panel 131 may be implemented by various types such as a resistive type, a capacitive type, an infrared ray, and a surface acoustic wave. The input unit 130 may include other input devices 132 in addition to the touch panel 131 and the image pickup device 132. In particular, other input devices 132 may include, but are not limited to, one or more of a physical keyboard, function keys (such as volume control keys, switch keys, etc.), a trackball, a joystick, and the like.

Among them, the display unit 140 may be used to display information input by the user or information provided to the user and various menus of the wearable device 100. The Display unit 140 may include a Display panel 141, and optionally, the Display panel 141 may be configured in the form of a Liquid Crystal Display (LCD), an Organic Light-Emitting Diode (OLED), or the like. Further, the touch panel 131 can cover the display panel 141, and when the touch panel 131 detects a touch operation on or near the touch panel 131, the touch operation is transmitted to the processor 180 to determine the type of the touch event, and then the processor 180 provides a corresponding visual output on the display panel 141 according to the type of the touch event.

The visual output external display panel 141 that can be recognized by human eyes can be used as a display device in the embodiment of the present invention to display text information or image information. Although in fig. 1, the touch panel 131 and the display panel 141 are implemented as two separate components to implement the input and output functions of the wearable device 100, in some embodiments, the touch panel 131 and the display panel 141 may be integrated to implement the input and output functions of the wearable device 100.

In addition, the wearable device 100 may also include at least one sensor 150, such as a posture sensor, a distance sensor, a light sensor, and other sensors.

Specifically, the attitude sensor may also be referred to as a motion sensor, and as one of the motion sensors, an angular velocity sensor (also referred to as a gyroscope) may be cited, which is configured to measure a rotational angular velocity of the wearable device 100 in a state of motion when the wearable device 100 is deflected or tilted, so that the gyroscope can accurately analyze and determine an actual motion of a user using the wearable device 100, and perform a corresponding operation on the wearable device 100. For example: the motion sensing and the shake (the shake of the wearable device 100 achieves some functions) and the inertial navigation can be achieved according to the motion state of the object when no signal is available in a Global Positioning System (GPS for short), such as in a tunnel.

The sensor may be an optical sensor, which is mainly used to collect information such as wavelength and intensity of various light rays of light and adjust the backlight intensity of the display panel 141.

In addition, in the embodiment of the present invention, as the sensor 150, other sensors such as a barometer, a hygrometer, a thermometer, and an infrared sensor may also be configured, which are not described herein again.

The light sensor may also include a proximity sensor that may turn off the display panel 141 and/or backlight when the wearable device 100 is moved to the ear.

Audio circuitry 160, speaker 161, microphone 162 may provide an audio interface between the user and the wearable device 100. The audio circuit 160 may transmit the electrical signal converted from the received audio data to the speaker 161, and convert the electrical signal into a sound signal for output by the speaker 161; on the other hand, the microphone 162 converts the collected sound signal into an electrical signal, and the electrical signal is received by the audio circuit 160 and converted into audio data, and the audio data is processed by the audio data output processor 180, and then transmitted to, for example, another wearable device 100 via the RF circuit 110, or the audio data is output to the memory 120 for further processing.

WiFi belongs to a short-distance wireless transmission technology, the wearable device 100 can help a user to receive and send emails, browse webpages, access streaming media and the like through the WiFi module 170, and wireless broadband internet access is provided for the user. Although fig. 1 shows the WiFi module 170, it is understood that it does not belong to the essential constitution of the wearable device 100, and may be omitted entirely as needed within the scope not changing the essence of the invention.

The processor 180 is a control center of the wearable device 100, connects various parts of the whole wearable device 100 by using various interfaces and lines, and performs various functions of the wearable device 100 and processes data by running or executing software programs and/or modules stored in the memory 120 and calling data stored in the memory 120, thereby performing overall monitoring of the wearable device 100. Alternatively, processor 180 may include one or more processing units; preferably, the processor 180 may integrate an application processor, which mainly handles operating systems, user interfaces, application programs, etc., and a modem processor, which mainly handles wireless communications.

It will be appreciated that the modem processor described above may not be integrated into the processor 180.

The wearable device 100 may further include at least one motor 190, and since the wearable device 100 is a power consuming device, the motor 190 may be a small motor, and at the same time, a plurality of motors may be configured for the wearable device 100 according to the amount of power that the motors can provide.

The wearable device 100 also includes a power source (not shown) to power the various components.

Preferably, the power source may be logically connected to the processor 180 through a power management system, so as to implement functions of managing charging, discharging, and power consumption management through the power management system. Although not shown, the wearable device 100 may further include a bluetooth module or the like, which is not described herein.

It should be noted that the structure shown in fig. 1 is only an example, and the embodiment of the present invention is not limited thereto.

Fig. 2 exemplarily shows a process of determining standing jump data by a wearable device according to an embodiment of the present invention, where the process may be executed by an apparatus for determining standing jump data by a wearable device, and the apparatus may be a wearable device or may be located in a wearable device.

As shown in fig. 2, the process specifically includes:

step 201, the wearable device obtains data of the acceleration sensor in the standing long jump mode.

In the embodiment of the invention, the data of the acceleration sensor and the data of the height sensor in the standing long jump mode can be obtained through the acceleration sensor and the height sensor. The standing long jump mode is a motion mode selected by a user on the wearable device, and when the user selects the standing long jump mode, the wearable device starts the data of the acceleration sensor and the data of the height sensor after the current moment.

The height sensor may be a barometer or other sensor that may be used to measure height.

Step 202, the wearable device determines a take-off point and a landing point according to the data of the acceleration sensor; and determining the movement time of standing long jump according to the time stamps of the take-off point and the landing point.

Specifically, the wearable device may determine a take-off point and a landing point of a standing jump according to a minimum value point in data of the acceleration sensor. That is, the first minimum value point in the data of the acceleration sensor after the standing jump mode is started may be determined as the take-off point of the standing jump, and the second minimum value point may be determined as the landing point.

And then subtracting the time stamp of the landing point from the time stamp of the jumping point to obtain the movement time of the standing jump.

Step 203, the wearable device determines the standing long jump data according to the movement time of the standing long jump, the data of the height sensor and the data of the acceleration sensor.

The wearable device determines the height of the standing long jump in the vertical direction according to the movement time of the standing long jump and the data of the height sensor. And then determining the horizontal distance of the standing long jump according to the data of the acceleration sensor, the movement time of the standing long jump and the height of the standing long jump in the vertical direction.

For example, from the data of the height sensor, the corresponding height at the time of the movement at 1/2 can be obtained, i.e., the height is determined as the height in the vertical direction of the standing jump.

Further, the wearable device may determine a three-axis vector sum of acceleration sensor data of the takeoff point as an initial velocity of the standing jump. The wearable device determines the initial speed of the standing long jump in the vertical direction according to the movement time of the standing long jump, the data of the height sensor and the gravity acceleration. The wearing equipment determines the speed of the standing long jump in the horizontal direction according to the initial speed of the standing long jump and the speed of the standing long jump in the vertical direction. And finally, the wearable device determines the horizontal distance of the standing long jump according to the speed of the standing long jump in the horizontal direction and the movement time of the standing long jump.

In practical applications, the following data can be calculated:

standing long jump initial speed Vs: the triaxial vector sum of the accelerations of the take-off point can be used as the initial speed of the standing jump.

Standing long jump vertical direction speed Vh: according to the height formula of the vertical upward throwing motion, the speed Vh in the vertical direction of the standing jump can be calculated as follows:

Vh＝Height/time+1/2*g*time+fh*time………………………(1)

wherein Height is the Height of standing long jump in vertical directionG represents the acceleration of gravity and is 9.8m/s ² Fh is the air resistance acceleration applied during the high jump and is an empirical value. For example, assuming that it is a fixed value during long jump, a reverse estimation is performed through multiple sets of known data to obtain an empirical value.

Speed Va in the vertical jump horizontal direction: according to the velocity decomposition, the standing jump initial velocity Vs can be decomposed into a velocity in the vertical direction and a velocity in the horizontal direction. Knowing the vertical velocity Vh, the vertical velocity Va is obtained according to the trigonometric theorem.

Horizontal distance D of standing jump: from the equation of motion for the object in the horizontal direction, the horizontal distance D can be estimated as follows:

D＝Va*time–fa*time ² …………………………(2)

the fa is the resistance acceleration of the standing long jump in the horizontal direction, is an empirical value, and has the same calculation mode as the vertical resistance.

The above calculation process may be as shown in fig. 3:

and 301, acquiring data of the acceleration sensor and the barometer.

After the user selects the long jump mode on the wearable device, the wearable device may collect data of the acceleration sensor and the barometer.

Step 302, data preprocessing.

The acquired time is subjected to data preprocessing, such as data filtering.

Step 303, obtaining the movement duration and the standing long jump height.

The wearable device determines a first minimum value point in the data of the acceleration sensor after the standing long jump mode is started as a take-off point of the standing long jump, and determines a second minimum value point as a landing point. And then subtracting the time stamp of the landing point from the time stamp of the jumping point to obtain the movement time of the standing jump. From the data of the height sensor, the corresponding height at 1/2 at the time of movement can be obtained, i.e., the height is determined as the height in the vertical direction of the standing jump.

And step 304, calculating the standing long jump initial speed.

The wearing equipment can take the triaxial vector sum of the acceleration of the take-off point as the initial speed of the standing jump.

And step 305, calculating the standing long jump vertical speed.

According to the height formula of the vertical upward throwing motion, the speed Vh in the vertical direction of the standing jump can be calculated as follows:

Vh＝Height/time+1/2*g*time+fh*time………………………(1)

wherein, Height is the Height of the standing long jump in the vertical direction; g represents the acceleration of gravity and is 9.8m/s ² (ii) a time is the movement time of standing long jump; fh is the air resistance acceleration suffered by the high jump process and is an empirical value. For example, assuming that it is a fixed value during long jump, a reverse estimation is performed through multiple sets of known data to obtain an empirical value.

And step 306, calculating the standing long jump horizontal speed.

According to the velocity decomposition, the standing jump initial velocity Vs can be decomposed into a velocity in the vertical direction and a velocity in the horizontal direction. Knowing the vertical velocity Vh, the vertical velocity Va is obtained according to the trigonometric theorem.

Step 307, the standing long jump horizontal distance is calculated.

From the equation of motion for the object in the horizontal direction, the horizontal distance D can be estimated as follows:

D＝Va*time–fa*time ² …………………………(2)

wherein Va is the speed of the standing long jump in the horizontal direction; time is the movement time of standing long jump; fa is the resistance acceleration of the standing long jump in the horizontal direction, and is an empirical value.

The above embodiment shows that the wearable device acquires data of the acceleration sensor in the standing long jump mode, determines a jump point and a landing point according to the data of the acceleration sensor, determines a movement time of the standing long jump according to the time stamps of the jump point and the landing point, and determines data of the standing long jump according to the movement time of the standing long jump, data of the height sensor and data of the acceleration sensor. The height and the distance of the standing jump are determined jointly by combining the data of the acceleration sensor and the data of the height sensor, and compared with a scheme of identifying the standing jump through visual data in the prior art, the method is high in processing efficiency, low in dependence on a camera and capable of improving user experience.

Based on the same technical concept, fig. 4 exemplarily shows a structure of an apparatus for determining standing jump data by a wearable device according to an embodiment of the present invention, where the apparatus can execute a process of determining standing jump data by the wearable device.

As shown in fig. 4, the apparatus may include:

an obtaining unit 401, configured to obtain data of an acceleration sensor in a standing long jump mode;

a processing unit 402, configured to determine a jump point and a landing point according to data of the acceleration sensor; determining the movement time of standing long jump according to the time stamps of the take-off point and the landing point; and determining the data of the standing long jump according to the movement time of the standing long jump, the data of the height sensor and the data of the acceleration sensor.

Optionally, the processing unit 402 is specifically configured to:

and determining the horizontal distance of the standing long jump according to the data of the acceleration sensor, the movement time of the standing long jump and the height of the standing long jump in the vertical direction.

Optionally, the processing unit 402 is specifically configured to:

Based on the same technical concept, an embodiment of the present invention further provides a computing device, including:

a memory for storing program instructions;

Based on the same technical concept, the embodiment of the invention also provides a computer-readable non-volatile storage medium, which comprises computer-readable instructions, and when the computer reads and executes the computer-readable instructions, the computer is enabled to execute the method for determining standing long jump data by the wearable device.

The present invention is described with reference to flowchart illustrations and/or block diagrams of methods, apparatus (systems), and computer program products according to embodiments of the invention. It will be understood that each flow and/or block of the flow diagrams and/or block diagrams, and combinations of flows and/or blocks in the flow diagrams and/or block diagrams, can be implemented by computer program instructions. These computer program instructions may be provided to a processor of a general purpose computer, special purpose computer, embedded processor, or other programmable data processing apparatus to produce a machine, such that the instructions, which execute via the processor of the computer or other programmable data processing apparatus, create means for implementing the functions specified in the flowchart flow or flows and/or block diagram block or blocks.

These computer program instructions may also be stored in a computer-readable memory that can direct a computer or other programmable data processing apparatus to function in a particular manner, such that the instructions stored in the computer-readable memory produce an article of manufacture including instruction means which implement the function specified in the flowchart flow or flows and/or block diagram block or blocks.

These computer program instructions may also be loaded onto a computer or other programmable data processing apparatus to cause a series of operational steps to be performed on the computer or other programmable apparatus to produce a computer implemented process such that the instructions which execute on the computer or other programmable apparatus provide steps for implementing the functions specified in the flowchart flow or flows and/or block diagram block or blocks.

While preferred embodiments of the present invention have been described, additional variations and modifications in those embodiments may occur to those skilled in the art once they learn of the basic inventive concepts. Therefore, it is intended that the appended claims be interpreted as including preferred embodiments and all such alterations and modifications as fall within the scope of the invention.

It will be apparent to those skilled in the art that various changes and modifications may be made in the present invention without departing from the spirit and scope of the invention. Thus, if such modifications and variations of the present invention fall within the scope of the claims of the present invention and their equivalents, the present invention is also intended to include such modifications and variations.

Claims

1. A method for determining standing long jump data by a wearable device is characterized by comprising the following steps:

the wearable equipment acquires data of an acceleration sensor in a standing long jump mode;

2. The method of claim 1, wherein the wearable device determines a take-off point and a landing point from the data of the acceleration sensor, comprising:

3. The method of claim 1 or 2, wherein the wearable device determining the standing jump data from the movement time of the standing jump, the height sensor data, and the acceleration sensor data comprises:

4. The method of claim 3, wherein the wearable device determines the horizontal distance of the standing jump from the data of the acceleration sensor, the movement time of the standing jump, and the height of the standing jump in the vertical direction, comprising:

5. An apparatus for determining standing long jump data of a wearable device, comprising:

6. The apparatus as claimed in claim 5, wherein said processing unit is specifically configured to:

7. The apparatus according to claim 5 or 6, wherein the processing unit is specifically configured to:

8. The apparatus as claimed in claim 7, wherein said processing unit is specifically configured to:

determining a three-axis vector sum of the data of the acceleration sensor as an initial speed of the standing long jump;

9. A computing device, comprising:

a memory for storing program instructions;

a processor for calling program instructions stored in said memory to execute the method of any one of claims 1 to 4 in accordance with the obtained program.

10. A computer-readable non-transitory storage medium including computer-readable instructions which, when read and executed by a computer, cause the computer to perform the method of any one of claims 1 to 4.