WO2019204968A1

WO2019204968A1 - Method for obtaining movement distance of user, and terminal device

Info

Publication number: WO2019204968A1
Application number: PCT/CN2018/084120
Authority: WO
Inventors: 钟振
Original assignee: 华为技术有限公司
Priority date: 2018-04-23
Filing date: 2018-04-23
Publication date: 2019-10-31
Also published as: CN111373224A; CN111373224B

Abstract

The present provides a method for obtaining a movement distance of a user, and a terminal device. The method comprises: determining a stride frequency of current movement of the user; on the basis of the stride frequency of the current movement, determining a first movement distance of the current movement of the user; and outputting the first movement distance. By the method for obtaining a movement distance of a user, and the terminal device provided in embodiments of the present application, the accuracy of estimating the movement distance of the user can be improved.

Description

User motion distance acquisition method and terminal device

Technical field

The present application relates to the field of data processing, and more particularly, to a method and a terminal device for acquiring a user's motion distance.

Background technique

At present, mobile sports applications (applications, APP), such as 咕咚, Yuedong circle, etc., are more and more popular among people. Most of these sports apps have “indoor running”, that is, treadmill function, which can be estimated by the number of sports steps. Movement distance.

Specifically, the motion distance estimated by the motion APP is equal to the product of the number of motion steps of the user and the stride, and the stride is again equal to the product of the user's personal parameter and a coefficient, wherein the coefficient is fixed. It can be seen that this formula for estimating the distance of motion is a general formula that does not take into account the individual's individual athletic ability and habits, the same height or gender, the same number of steps, but the distance may be different. Under normal circumstances, the motion distance estimated by this general formula will have a deviation of about 10% to 30%, and the error is relatively large.

Summary of the invention

The present application provides a method for acquiring a user's motion distance and a terminal device, which can improve the accuracy of estimating the user's motion distance.

The first aspect provides a method for acquiring a user's motion distance, including: determining a step frequency of a current motion of the user; determining a first motion distance of the current motion of the user based on the step frequency of the current motion; and outputting the first A moving distance.

In the embodiment of the present application, during the movement of the user, the movement distance can be directly affected by the change of the step frequency. For example, under other conditions, the step frequency is larger, and the motion distance is longer; the smaller the step frequency, the more the motion distance is. Short, and the step frequency determined by the terminal device is very close to the actual step frequency of the user. Therefore, the motion distance based on the step frequency estimation is smaller than the actual distance, so that the accuracy of the terminal device estimating the user's motion distance can be improved.

In some possible implementations, before the determining the step frequency of the current motion of the user, the method further includes: calculating a calculated motion distance of the first motion of the user according to a preset algorithm, where the first motion is a motion before the current motion; acquiring a pitch of the first motion of the user; generating a calibration function according to the pitch of the first motion, the calculated motion distance, and the actual motion distance of the first motion, The calibration function is a function of the step frequency as an independent variable; the determining the first motion distance of the current motion of the user based on the step frequency of the current motion, comprising: according to the calibration function and the current motion Step frequency, obtaining a calibration coefficient; using the calibration coefficient and the preset algorithm, obtaining a first motion distance of the user's current motion.

The preset algorithm is configured to calculate a motion distance according to the detected motion step number and the user's stride parameter.

In the above technical solution, the calibration coefficient obtained by the calibration function can be used to determine the moving distance of the user. Since the calibration function is obtained by training the sample data of the user's multiple motions, and the sample data of the training calibration function is more, the training result is obtained. The calibration function and the calibration coefficients obtained by the calibration function are also accurate. The calibration coefficient obtained by the calibration function is used to determine the moving distance, so that the accuracy of the estimated moving distance of the terminal device is also relatively high.

In some possible implementations, the using the calibration coefficient and the preset algorithm to obtain a first motion distance of the current motion of the user, including: using the calibration coefficient, in the preset algorithm The parameter is calibrated to obtain a calibrated preset algorithm; the first motion distance of the current motion is calculated using the calibrated preset algorithm.

In some possible implementations, the method further includes: adjusting the calibration function according to the step frequency of the current motion, the first motion distance, and the actual motion distance of the current motion, and obtaining the adjusted a calibration function for calibrating the calculated distance of the next motion, the next calculated distance being the motion distance calculated using the preset algorithm.

In the above technical solution, the terminal device can input the step frequency of the current motion of the user, the first motion distance, and the actual motion distance of the current motion into the calibration function, so that the number of samples of the training calibration function is more, and the trained calibration function is more It is accurate that the first motion distance determined by the calibration function is closer to the actual motion distance of the user.

In some possible implementations, the method further includes receiving an instruction input by the user, the instruction being used to indicate an actual moving distance of the current motion.

In some possible implementations, the actual moving distance of the current motion is the moving distance on the treadmill.

In some possible implementations, the current motion includes a plurality of time periods, and determining, according to the step frequency of the current motion, determining a first motion distance of the current motion of the user, including: based on the multiple time periods The pitch of each time period is determined, and the motion distance of each time period is determined; the sum of the motion distances of the plurality of time periods is determined as the first motion distance of the current motion of the user.

In the above technical solution, since the user may not be completely moving at the same time during the movement, the step frequency is changed. If the total exercise time and the total number of motion steps are used to calculate the step frequency, and then the step frequency is used to calculate the exercise distance, The calculated user's motion distance error is large. If the current motion is divided into multiple time periods, the time frequency of each time period is the same, for example, 5 seconds is a time period. In general, it can be considered that the step frequency within 5 seconds is constant, and then based on the step frequency, it is determined. The distance of motion for each time period, which improves the accuracy of estimating the distance traveled by the user.

In some possible implementations, the current motion includes a plurality of time periods, and according to the calibration function, and the pitch frequency of the current motion, obtaining calibration coefficients, including: according to the calibration function and the multiple a step frequency of each time period in the time period, respectively obtaining a calibration coefficient of each time period; the using the calibration coefficient and the preset algorithm to obtain a first motion distance of the current motion of the user, including: according to the each time period The calibration coefficient and the preset algorithm respectively obtain the motion distances of the respective time periods; and determine the sum of the motion distances of the respective time periods as the first motion distance.

In some possible implementations, the step frequencies of two adjacent ones of the plurality of time periods are different.

In some possible implementations, the determining a step frequency of a current motion of the user includes: acquiring current motion data of the user, where the current motion data includes a current motion time and a current motion step; according to the current motion time And the current number of motion steps, determining the pitch of the current motion.

In the above technical solution, only the time and the number of steps of the motion can be directly obtained during the movement of the user, and the obtained motion time and the step number error are small, and therefore, the step frequency error determined according to the motion time and the number of steps is also small. , close to the user's actual step frequency.

In a second aspect, a method for acquiring a user's motion distance is provided, including: determining a step frequency of a current motion of the user; and determining a first step of the current motion of the user based on the step frequency of the current motion.

In some possible implementations, before the determining the first step of the user's current motion, the method further includes: calculating, according to a preset algorithm, a calculated motion distance of the first motion of the user, the first motion a motion before the current motion; acquiring a pitch of the first motion of the user; generating a calibration function according to the pitch of the first motion, the calculated motion distance, and an actual distance of the first motion, The calibration function is a function of the step frequency as an independent variable; the determining the first step of the current motion of the user based on the step frequency of the current motion, comprising: according to the calibration function and the current motion Step frequency, obtaining a calibration coefficient; using the calibration coefficient and the preset algorithm, obtaining a first step of the user's current motion.

In some possible implementations, the using the calibration coefficient and the preset algorithm to obtain a first step of the current motion of the user, including: calculating, according to the preset algorithm, the current motion Two steps; using the calibration coefficients, the second step is calibrated to obtain the first step.

In some possible implementations, the second stride is obtained based on at least one of a height, a weight, or a gender of the user.

In some possible implementations, the current motion includes a plurality of time periods, and determining, according to the step frequency of the current motion, a first step of the current motion of the user, including: based on the multiple time periods The step frequency of each time period determines the first step of each time period.

In some possible implementations, the current motion includes a plurality of time periods, and according to the calibration function and the step frequency of the current motion, obtaining calibration coefficients, including: according to the calibration function and the multiple time periods The step frequency of each time period is obtained, respectively, the calibration coefficient of each time period is obtained; using the calibration coefficient and the preset algorithm, the first step of the current motion of the user is obtained, including: according to the calibration coefficient of each time period And the preset algorithm respectively obtains the first step of each time period.

In a possible implementation manner, the step frequencies of two adjacent ones of the plurality of time periods are different.

In a third aspect, a terminal device is provided, including: a first determining unit, configured to determine a step frequency of a current motion of the user; and a second determining unit, configured to determine, according to the step of the current motion determined by the first determining unit And determining, by the frequency, a first motion distance of the current motion of the user; and an output unit, configured to output the first motion distance determined by the second determining unit.

In some possible implementations, the terminal device further includes: a calculating unit, configured to calculate, according to a preset algorithm, a calculated motion distance of the first motion of the user, where the first motion is before the current motion a motion unit; an acquisition unit, configured to acquire a step frequency of the first motion of the user; a generating unit, configured to calculate, according to the step frequency of the first motion acquired by the acquiring unit, the calculation calculated by the computing unit a movement distance, and an actual movement distance of the first motion, a calibration function, wherein the calibration function is a function of the step frequency as an independent variable; the second determining unit is specifically configured to: generate the a calibration function and a pitch of the current motion determined by the first determining unit to obtain a calibration coefficient; using the calibration coefficient and the preset algorithm, obtaining a first motion distance of the current motion of the user.

In some possible implementations, the second determining unit is specifically configured to: calculate a second motion distance of the current motion according to the preset algorithm; and use the calibration coefficient to perform the second motion distance Calibrating, the first moving distance is obtained.

In some possible implementations, the second determining unit is specifically configured to: calibrate the parameter in the preset algorithm by using the calibration coefficient, to obtain a calibrated preset algorithm; and use the calibrated The preset algorithm calculates the first motion distance of the current motion.

In some possible implementations, the preset algorithm is configured to calculate a motion distance according to the detected motion step number and the user's stride parameter.

In some possible implementations, the terminal device further includes an adjusting unit, configured, according to the step frequency of the current motion determined by the first determining unit, the first motion distance determined by the second determining unit And adjusting the calibration function to obtain an adjusted calibration function, wherein the adjusted calibration function is used to calibrate the calculated distance of the next motion, the next calculation The distance is the motion distance calculated using the preset algorithm.

In some possible implementations, the terminal device further includes a receiving unit, configured to receive an instruction input by the user, where the instruction is used to indicate an actual moving distance of the current motion.

In some possible implementations, the current motion includes a plurality of time periods, and the second determining unit is specifically configured to: determine a motion distance of each time period based on a pitch frequency of each of the plurality of time periods; The sum of the motion distances of the plurality of time periods is determined as the first motion distance of the current motion of the user.

In some possible implementations, the current motion includes multiple time periods, and the second determining unit is specifically configured to: respectively obtain each time period according to the calibration function and the step frequency of each of the plurality of time periods The calibration coefficient is obtained according to the calibration coefficients of the respective time periods and the preset algorithm, respectively, and the sum of the motion distances of the respective time periods is determined as the first motion distance.

In some possible implementations, the first determining unit is specifically configured to: acquire current motion data of the user, where the current motion data includes a current motion time and a current motion step; according to the current motion time and current The number of motion steps determines the pitch of the current motion.

A fourth aspect provides a terminal device, including: a first determining unit, configured to determine a step frequency of a current motion of the user; and a second determining unit, based on the step frequency of the current motion determined by the first determining unit, Determine the first step of the user's current movement.

In some possible implementations, the terminal device further includes: a calculating unit, configured to calculate, according to a preset algorithm, a calculated motion distance of the first motion of the user, where the first motion is before the current motion a motion unit; an acquisition unit, configured to acquire a step frequency of the first motion of the user; a generating unit, configured to calculate, according to the step frequency of the first motion acquired by the acquiring unit, the calculation calculated by the computing unit a movement distance, and an actual movement distance of the first motion, a calibration function, wherein the calibration function is a function of the step frequency as an independent variable; the second determining unit is specifically configured to: generate the And a calibration function and a step frequency of the current motion determined by the first determining unit to obtain a calibration coefficient; using the calibration coefficient and the preset algorithm, obtaining a first step of the current motion of the user.

In some possible implementations, the second determining unit is specifically configured to: calculate a second stride of the current motion according to the preset algorithm; and use the calibration coefficient to perform the second stride Calibrate to obtain the first step.

In some possible implementations, the current motion includes multiple time periods, and the second determining unit is specifically configured to: determine a first step of each time period based on a step frequency of each of the plurality of time periods Width.

In some possible implementations, the current motion includes multiple time periods, and the second determining unit is specifically configured to: respectively obtain each time period according to the calibration function and the step frequency of each of the plurality of time periods The calibration coefficient; according to the calibration coefficients of the respective time periods and the preset algorithm, respectively obtain the first step of each time period.

In a fifth aspect, a terminal device is provided, the terminal device comprising a processor for implementing the functions in the method described in the first aspect above. The terminal device may also include a memory for storing program instructions and data. The memory is coupled to the processor, and the processor can invoke and execute program instructions stored in the memory for implementing the functions of the method described in the first aspect above. The terminal device may further include a transceiver for the terminal device to communicate with other devices.

In a sixth aspect, a terminal device is provided, the terminal device comprising a processor for implementing the functions in the method described in the second aspect above. The terminal device may also include a memory for storing program instructions and data. The memory is coupled to the processor, and the processor can invoke and execute program instructions stored in the memory for implementing the functions of the method described in the second aspect above. The terminal device may further include a transceiver for the terminal device to communicate with other devices.

In a seventh aspect, the embodiment of the present application further provides a computer storage medium, where the program medium stores a program instruction, where the program instruction can be implemented by one or more processors and can implement the method described in the first aspect. .

In an eighth aspect, the embodiment of the present application further provides a computer storage medium, where the software program stores a software program, and the software program can implement the method described in the second aspect when being read and executed by one or more processors. .

In a ninth aspect, an embodiment of the present application provides a computer program product comprising instructions, which when executed on a computer, cause the computer to perform the method described in the first aspect above.

In a tenth aspect, an embodiment of the present application provides a computer program product comprising instructions, when executed on a computer, causing a computer to perform the method described in the second aspect above.

DRAWINGS

FIG. 1 is a schematic diagram of a terminal device to which a method for acquiring a user's motion distance is applied according to an embodiment of the present application.

FIG. 2 is a schematic flowchart of a method for acquiring a user's motion distance according to an embodiment of the present application.

FIG. 3 is a specific implementation flowchart of a method for acquiring a user's motion distance according to an embodiment of the present application.

FIG. 4 is a schematic diagram of user operations based on a method for acquiring a user's motion distance according to an embodiment of the present application.

FIG. 5 is a schematic diagram of user operations based on a method for acquiring a user's motion distance according to an embodiment of the present application.

FIG. 6 is a comparison diagram of the first moving distance, the second moving distance, and the actual moving distance estimated by the user in the embodiment of the present application.

FIG. 7 is a schematic flowchart of a method for acquiring a user's motion distance according to an embodiment of the present application.

FIG. 8 is a schematic block diagram of a terminal device according to an embodiment of the present application.

FIG. 9 is a schematic block diagram of a terminal device according to an embodiment of the present application.

FIG. 10 is a schematic block diagram of a terminal device according to an embodiment of the present application.

FIG. 11 is a schematic block diagram of a terminal device according to an embodiment of the present application.

detailed description

The technical solutions provided by the embodiments of the present application will be described below with reference to the accompanying drawings.

The method for acquiring the user's motion distance of the present application can be applied to the acquisition of the user's motion distance for the terminal device. A terminal device, which can also be called a terminal, is a device with a wireless transceiver function. A terminal device may also be called a user equipment (User Equipment, UE), an access terminal, a subscriber unit, a subscriber station, a mobile station, a mobile station, a remote station, a remote terminal, a mobile device, a user terminal, a terminal, a wireless communication device, and a user. Agent or user device. The terminal device can be a station in the WLAN (STAION, ST), which can be a cellular phone, a cordless phone, a Session Initiation Protocol (SIP) phone, a Wireless Local Loop (WLL) station, and a personal digital processing. (Personal Digital Assistant, PDA) device, handheld device with wireless communication capabilities, computing device or other processing device connected to a wireless modem, in-vehicle device, car networking terminal, computer, laptop, handheld communication device, handheld Computing devices, satellite wireless devices, wireless modem cards, set top boxes (STBs), customer premise equipment (CPE), and/or other devices for communicating over wireless systems, and next generation communication systems For example, a terminal device in a 5G network or a terminal device in a public land mobile network (PLMN) network that is evolving in the future.

In addition, in the embodiment of the present application, the terminal device may also be a terminal device in an Internet of Things (IoT) system, and the IoT is an important component of future information technology development, and its main technical feature is to pass the article through the communication technology. Connected to the network to realize an intelligent network of human-machine interconnection and physical interconnection.

FIG. 1 is a block diagram showing a part of a terminal device to which an embodiment of the present application is applicable. Referring to FIG. 1, the terminal device 100 may include the following components.

A. Radio frequency (RF) circuit 110

The RF circuit 110 can be used to transmit and receive information and receive and transmit signals during a call. The RF circuit may include, 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 particular, the RF circuit 110 may receive the downlink information sent by the base station and then process it to the processor 180. In addition, the RF circuit 110 may also send the uplink data to the base station.

In addition, RF circuitry 110 can also communicate with the network and other devices via wireless communication. The wireless communication can use any communication standard or protocol, including but not limited to a global system of mobile communication (GSM) system, a code division multiple access (CDMA) system, and a wideband code division. Wideband code division multiple access (WCDMA) system, general packet radio service (GPRS), long term evolution (LTE) system, e-mail, short messaging service (SMS), etc. .

B. Memory 120

The memory 120 can be used to store software programs and modules, and the processor 180 can execute various functional applications and data processing of the terminal device 100 by running software programs and modules stored in the memory 120.

The memory 120 can mainly include a storage program area and a storage data area. The storage program area may store an operating system, an application required for 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) created according to the use of the terminal device 100. , phone book, etc.). Moreover, memory 120 can include high speed random access memory, and can also include non-volatile memory, such as at least one magnetic disk storage device, flash memory device, or other volatile solid state storage device.

C. Other input devices 130

Other input devices 130 can be used to receive input digital or character information, as well as to generate key signal inputs related to user settings and function control of terminal device 100.

Specifically, other input devices 130 may include, but are not limited to, a physical keyboard, function keys (such as volume control buttons, switch buttons, etc.), trackballs, mice, joysticks, and light mice (the light mouse is not sensitive to display visual output). One or more of a surface, or an extension of a touch sensitive surface formed by a touch screen. Other input devices 130 are coupled to other input device controllers 171 of I/O subsystem 170 for signal interaction with processor 180 under the control of other device input controllers 171.

D. Display 140

The display screen 140 can be used to display information input by the user or information provided to the user as well as various menus of the terminal device 100, and can also accept user input.

Specifically, the display screen 140 may include a display panel 141 and a touch panel 142. The display panel 141 can be configured by using a liquid crystal display (LCD), an organic light-emitting diode (OLED), or the like. The touch panel 142, also referred to as a touch screen, a touch sensitive screen, etc., can collect contact or non-contact operations on or near the user (eg, the user uses any suitable object or accessory such as a finger, a stylus, etc. on the touch panel 142. Or the operation in the vicinity of the touch panel 142 may also include a somatosensory operation; the operation includes a single-point control operation, a multi-point control operation, and the like, and drives the corresponding connection device according to a preset program.

Alternatively, the touch panel 142 may include two parts of a touch detection device and a touch controller. Wherein, the touch detection device detects the touch orientation and posture of the user, and detects a signal brought by the touch operation, and transmits a signal to the touch controller; the touch controller receives the touch information from the touch detection device, and converts the signal into a processor. The processed information is sent to the processor 180 and can receive commands from the processor 180 and execute them. In addition, the touch panel 142 can be implemented by using various types such as resistive, capacitive, infrared, and surface acoustic waves, and the touch panel 142 can be implemented by any technology developed in the future.

Further, the touch panel 142 can cover the display panel 141, and the user can cover the display panel 141 according to the content displayed by the display panel 141, including but not limited to a soft keyboard, a virtual mouse, a virtual button, an icon, and the like. Operation on or near the touch panel 142, after detecting the operation on or near it, the touch panel 142 transmits to the processor 180 through the I/O subsystem 170 to determine user input, and then the processor 180 inputs according to the user. A corresponding visual output is provided on display panel 141 by I/O subsystem 170.

It should be understood that the touch panel 142 and the display panel 141 in FIG. 1 are two independent components to implement the input and input functions of the terminal device 100, but in some possible embodiments, the touch panel 142 and the display may be The panel 141 is integrated to implement input and output functions of the terminal device 100.

E. Sensor 150

The terminal device 100 may also include at least one type of sensor 150, such as a light sensor, a motion sensor, and other sensors.

Specifically, the light sensor may include an ambient light sensor and a proximity sensor, wherein the ambient light sensor may adjust the brightness of the display panel 141 according to the brightness of the ambient light, and the proximity sensor may close the display panel 141 when the terminal device 100 moves to the ear. And / or backlight. As a kind of motion sensor, the accelerometer sensor can detect the acceleration of each direction (usually three axes), and the magnitude and direction of gravity can be detected at rest. It can be used to identify the attitude of the terminal device (such as horizontal and vertical screen switching, Related games, magnetometer attitude calibration), vibration recognition related functions (such as pedometer, tapping).

In addition, the terminal device 100 can also configure other sensors such as a gyroscope, a barometer, a hygrometer, a thermometer, an infrared sensor, and the like, and no specific description is made here.

F. Audio circuit 160, speaker 161, microphone 162

The audio circuit 160, the speaker 161, and the microphone 162 can provide an audio interface between the user and the terminal device 100. The audio circuit 160 can transmit the converted audio data to the speaker 161 for conversion to the sound signal output by the speaker 161; on the other hand, the microphone 162 converts the collected sound signal into a signal, which is received by the audio circuit 160. The audio data is converted to audio data, which is then output to the RF circuit 108 for transmission to, for example, another terminal device, or the audio data is output to the memory 120 for further processing.

G. Input/output (I/O) subsystem 170

The I/O subsystem 170 can be an external device for controlling input and output. The I/O subsystem 170 can include other device input controllers 171, sensor controllers 172, and display controllers 173.

Alternatively, one or more other input control device controllers 171 may receive signals from other input devices 130 and/or send signals to other input devices 130. Other input devices 130 may include physical buttons (press buttons, rocker buttons, etc.) ), dial, slide switch, joystick, click wheel, light mouse (light mouse is a touch-sensitive surface that does not display visual output, or an extension of a touch-sensitive surface formed by a touch screen).

It is worth noting that other input control device controllers 171 can be connected to any one or more of the above devices.

Display controller 173 in I/O subsystem 170 receives signals from display 140 and/or transmits signals to display 140. After the display 140 detects the user input, the display controller 173 can convert the detected user input into an interaction with the user interface object displayed on the display screen 140, ie, implement human-computer interaction. Sensor controller 172 can receive signals from one or more sensors 150 and/or send signals to one or more sensors 150.

H. Processor 180

The processor 180 is a control center of the terminal device 100 that connects various portions of the entire terminal device using various interfaces and lines, by running or executing software programs and/or modules stored in the memory 120, and recalling stored in the memory 120. The data performs various functions and processing data of the terminal device 100, thereby performing overall monitoring of the terminal device. Optionally, the processor 180 may include one or more processing units; preferably, the processor 180 may integrate an application processor and a modem processor, where the application processor mainly processes an operating system, a user interface, an application, and the like. The modem processor primarily handles wireless communications. It will be appreciated that the above described modem processor may also not be integrated into the processor 180.

The terminal device 100 further includes a power source 190 (such as a battery) for supplying power to the various components. Preferably, the power source 190 can be logically connected to the processor 180 through the power management system to manage functions such as charging, discharging, and power consumption through the power management system. .

Although not shown, the terminal device 100 may further include a camera, a Bluetooth module, and the like, and details are not described herein again.

It should be understood that the terminal device structure shown in FIG. 1 does not constitute a limitation on the terminal device, and may include more or less components than those illustrated, or combine some components, or split some components, or Different parts are arranged.

FIG. 2 is a schematic flowchart of a method for acquiring a user's motion distance according to an embodiment of the present application. The method of FIG. 2 can be applied to the above-described terminal device 100.

The method of FIG. 2 may include steps 210-230, which are described in detail below.

At 210, the step frequency of the user's current motion is determined.

Among them, the step frequency can be expressed as the frequency of the user's footsteps.

Optionally, the terminal device may determine the current motion of the step by using the current motion data of the user and then determining the current motion.

The current motion data may include a current exercise time and a current motion step number. That is to say, the step frequency of the current motion can be determined according to the current exercise time and the current number of motion steps.

Specifically, the step frequency can be expressed as the ratio of the current number of motion steps to the current exercise time.

For example, if the user has 300 steps in 2 minutes, the user's step frequency is 300 steps / 2 minutes = 150 steps / minute.

As another example, the terminal device can periodically determine the pitch of the current motion of the user.

Illustratively, letting 5 seconds be a cycle, the user's 2-minute exercise time can be divided into 24 cycles, and the user's step frequency is determined every 5 seconds. Specifically, the user has 12 steps in a period of 0 to 5 seconds and a step of 15 in a period of 5 to 10 seconds, so that the user can obtain a step frequency of 144 steps in a period of 0 to 5 seconds. Minutes, the step frequency is 180 steps/minute in 5 to 10 seconds, and so on.

Alternatively, the terminal device may use a sensor (eg, the sensor 150 described above), such as an accelerometer sensor, to obtain the current number of motion steps of the user.

Optionally, when the user selects the “indoor running” scenario, the terminal device may acquire the current number of motion steps of the user based on the current motion step of the user determined by the treadmill.

For example, the treadmill can transmit the determined current number of motion steps of the user to the terminal device, so that the terminal device can acquire the current number of motion steps of the user, and can display the number of steps in a user interface (UI) (for example, Above the display screen 140).

By way of example and not limitation, the treadmill may transmit the current number of motion steps of the user to the terminal device through a transmission method such as Bluetooth or infrared.

For another example, the user can manually input the current number of motion steps displayed by the treadmill into the terminal device, so that the terminal device can obtain the current number of motion steps of the user.

For another example, the user can take a picture of the current motion step displayed by the treadmill, and the terminal device can obtain the current number of motion steps in a certain manner by scanning the photo.

For another example, the user can input the current number of motion steps displayed by the treadmill to the terminal device by voice, and after the terminal device recognizes the voice content, the current number of motion steps can be obtained.

Optionally, the terminal device may acquire the current motion time of the user according to other devices.

For example, if the other device is a watch worn by the user, the user can input an instruction to the terminal device according to the time displayed by the watch, and the instruction is used to indicate the current exercise time of the user.

For another example, if the other device is another terminal device, the other terminal device may send information to the terminal device that carries the current motion time of the user. After receiving the information, the terminal device may obtain the current motion time of the user.

For example, if the other device is a treadmill, the specific manner in which the terminal device obtains the current motion time of the user may refer to the manner of obtaining the current number of motion steps, and details are not described herein again.

Optionally, the terminal device can directly obtain the current motion time of the user according to the recorded user motion time.

It should be noted that the mobile APP is installed on the terminal device in the embodiment of the present application.

At 220, a first motion distance of the user's current motion is determined based on the pitch of the current motion.

In one implementation, the terminal device may determine the first motion distance of the current motion through the calibration function based on the pitch of the current motion.

Alternatively, the calibration function can be trained by sample data of the user's multiple motions.

The sample data of each motion may include a step frequency of the first motion of the user, a calculated motion distance of the first motion, and an actual distance of the first motion.

In a possible embodiment, the terminal device may generate a calibration function according to the acquired pitch of the first motion of the user, the calculated motion distance of the first motion, and the actual distance of the first motion.

Wherein, the calibration function is a function of the step frequency as an independent variable, the first motion may be N times of motion before the current motion, and N is an integer greater than or equal to 1.

In other words, the first motion may be one motion before the current motion, or may be multiple motions before the current motion. It should be understood that the multiple movements may be continuous multiple movements or discontinuous. Of course, the first motion may be continuous with the current motion or may be discontinuous with the current motion.

For example, the user has been exercising 5 times before and the current exercise is the 6th exercise. When the first motion is a motion before the current motion, the first motion may be any one of the first 5 motions; when the first motion is the third motion before the current motion, the first motion may be the first 5 motions Any three movements, such as the first movement, the second movement, and the fourth movement.

Alternatively, the actual distance of the user may be the distance traveled on the treadmill.

Alternatively, the actual distance of the user may be a moving distance obtained by a global positioning system (GPS).

Alternatively, the terminal device can train the calibration function using a regression algorithm.

There may be many types of regression algorithms, which are not specifically limited in the embodiment of the present application. Illustratively, regression algorithms may include, but are not limited to, least squares, logistic regression (LR), and the like.

As an example, the terminal device may train the calibration function by the ratio between the actual distance of the first motion of the user per movement in the sample data and the calculated motion distance of the first motion, and the pitch of the first motion. which is:

Actual distance / calculated motion distance = f ₁ (step frequency of the first motion) (1)

Among them, the function f ₁ represents a calibration function.

As an example, the terminal device may train the calibration function by the ratio between the actual stride of the first motion of the user and the calculated stride of the first motion in the sample data, and the pitch of the first motion. . which is:

Actual stride / calculated stride = f ₂ (step frequency of the first motion) (2)

Among them, the function f ₂ can represent a calibration function.

It should be noted that the actual stride of the first motion may be the ratio of the actual distance of the first motion to the number of motion steps, and the calculated stride of the first motion may be the ratio of the calculated motion distance of the first motion to the number of motion steps. It can be seen that the ratio between the actual stride of the first motion of the user and the calculated stride of the first motion is essentially the actual distance of the first motion of each motion and the calculated motion of the first motion. The ratio between the distances.

Optionally, the terminal device may calculate a calculated motion distance of the first motion of the user according to a preset algorithm.

Optionally, the preset algorithm is used by the terminal device to calculate the motion distance according to the detected motion step number and the user's stride parameter.

Alternatively, the preset algorithm can be as shown in equations (3) and (4):

Movement distance = number of movement steps * stride (3)

Stride = personal parameters * first coefficient (4)

The personal parameters may include the user's height, weight, gender, and the like.

It should be understood that the name of the stride is not limited in the embodiment of the present application, that is, the stride may also be expressed as another name. For example, a stride can also be called a step size.

The first coefficients of different sports APPs may be different. Optionally, the first coefficient of some sports APP is a fixed value, such as 0.42; alternatively, some sports apps have different first coefficients for different personal parameters, such as height.

In the embodiment of the present application, the motion distance calculated by the preset algorithm may also be referred to as a general estimation distance. The formula (1) and the formula (2) may also be referred to as a general formula, which is not specifically limited in the embodiment of the present application.

In a possible embodiment, the terminal device can preset a plurality of calibration functions. Wherein, the plurality of calibration functions correspond to a plurality of step frequencies.

Alternatively, a plurality of calibration functions may be in one-to-one correspondence with a plurality of step frequencies.

For example, calibration function 1 corresponds to step frequency 1, and calibration function 2 corresponds to step frequency 2. If the terminal device determines that the user's step frequency is the step frequency 1, the calibration function 1 may be used to calibrate the first motion distance of the user's current motion; if the terminal device determines that the user's step frequency is the step frequency 2, the calibration function 2 may be used. Calibrate the first motion distance of the user's current motion.

Alternatively, one calibration function may correspond to multiple step frequencies. The plurality of step frequencies satisfy a preset range corresponding to the one calibration function.

For example, the calibration function 1 corresponds to a step frequency of 100 steps/minute to 120 steps/minute. If the terminal device determines that the user's step frequency is 100 steps/minute, the calibration function 1 can be used to calibrate the user's current motion. The distance of movement; if the terminal device determines that the user's step frequency is 115 steps/minute, the calibration function 1 can be used to calibrate the first motion distance of the user's current motion.

Optionally, the terminal device may obtain a calibration coefficient according to the calibration function and the step frequency of the current motion, and the first motion distance of the current motion may be obtained by using the calibration coefficient and the preset algorithm.

As an example, the terminal device may obtain a second motion distance of the current motion according to a preset algorithm, and then calibrate the second motion distance based on the calibration coefficient, and finally obtain a first motion distance of the current motion of the user.

Alternatively, this implementation can be expressed by equation (5):

First motion distance = second motion distance *f (step frequency) (5)

The formula (5) may also be referred to as a personalization formula, and the function f may be a calibration function. The function f may be f ₁ or f ₂ , which is not limited by the embodiment of the present application.

Wherein, the second moving distance can be obtained according to formula (3) and formula (4).

It should be understood that in the embodiments of the present application, the “first” and “second” are only used to distinguish different objects, but do not limit the scope of the embodiments of the present application.

As an example, the terminal device may use the calibration coefficient to calibrate the parameters in the preset algorithm to obtain a calibrated preset algorithm, and then use the calibrated preset algorithm to calculate the first motion distance of the current motion.

Optionally, the parameter can be the second step of the user. Among them, the second step can be the step size in formula (3) and formula (4).

Optionally, the terminal device may multiply the second step by the calibration coefficient to obtain the first step, and then multiply the first step by the number of motion steps of the user, to obtain the first motion distance. This implementation can be expressed by equation (6):

First motion distance = second step *f (step frequency) * number of motion steps (6)

The formula (6) may also be referred to as a personalization formula, and the function f may be f ₁ or f ₂ , which is not limited by the embodiment of the present application.

In an implementation manner, the terminal device may directly determine the first motion distance of the current motion of the user based on the step frequency of the current motion.

Optionally, the terminal device may determine, according to a step frequency of the current motion, a first motion distance of the current motion of the user by using a certain algorithm.

It should be understood that the algorithm in this application does not specifically limit the algorithm, and any algorithm that can determine the first motion distance based on the step frequency is covered by the scope of the present application.

Alternatively, the current motion may include multiple time periods.

Wherein, each of the plurality of time periods has the same step frequency.

Alternatively, the length of each of the plurality of time periods may be the same. That is to say, the current motion can be divided into a plurality of time periods by cycle.

For example, you can make 5 seconds a cycle, and each time period of the current motion is 5 seconds. Then, the user's step frequency in the first period of the current motion is 120 steps/minute, the step frequency in the second period may be 150 steps/minute, and the step frequency in the third period may be 150 steps/minute.

At this time, the step frequencies of the adjacent two of the plurality of time periods may be the same or different.

Optionally, the length of each of the plurality of time periods may not be identical. At this time, the pitches of the adjacent two of the plurality of time periods may be different.

For example, the user has a step frequency of 150 steps/minute in the current motion for 0 to 5 seconds, a step frequency of 175 steps/minute in the period of 5 to 15 seconds, and a step frequency of 15 to 23 seconds. 160 steps / minute, the user can move the 23 seconds of the current movement into three periods: the first period is 0 to 5 seconds, the step frequency is 150 steps / minute; the second period is 5 to 15 seconds, step The frequency is 175 steps/minute; the third time period is 15 to 23 seconds, and the step frequency is 160 steps/minute.

At this time, the terminal device may determine the motion distance of each time period based on the pitch frequency of each of the plurality of time periods, and determine the sum of the motion distances of the plurality of time periods as the first motion distance of the current motion of the user.

In a possible embodiment, the terminal device may obtain the motion distance of each time period by using a calibration function based on the pitch frequency of each of the plurality of time periods, and determine the sum of the motion distances of the respective time periods as the first motion distance. .

That is to say, the terminal device can obtain the calibration coefficients of the respective time periods according to the calibration function and the step frequency of each time period in the plurality of time periods, and then obtain the motion distances of the respective time periods according to the calibration coefficients of each time period and the preset algorithm, respectively. The sum of the moving distances of the respective periods is determined as the first moving distance.

Optionally, the terminal device can directly calibrate the second moving distance of each time period by using calibration coefficients of each time period, which can be expressed by formula (7):

L1=a ₁ *L2 ₁ +a ₂ *L2 ₂ +a ₃ *L2 ₃ +...+a _n *L2 _n (7)

Where L1 represents the first motion distance, a represents the calibration coefficient, L2 represents the second motion distance, subscript 1 represents the first time period, subscript 2 represents the second time period, and so on.

Optionally, the terminal device may calibrate the second step of each time period by using calibration coefficients of respective time periods, which may be expressed by formula (8):

L1=a ₁ *F2 ₁ *H ₁ +a ₂ *F2 ₂ *H ₂ +a ₃ *F2 ₃ *H ₃ +...+a _n *F2 _n *H _n (8)

Where F2 represents the second step and H represents the number of motion steps of the user.

In a possible embodiment, the terminal device may directly determine the moving distance of the user in each time period based on the step frequency of the user in each time period, and then gradually increase the moving distance of each time period, thereby obtaining the first time of the user. Movement distance.

Illustratively, let 5 seconds be a time period, the terminal device can calculate the step frequency of the user every 5 seconds, and determine the motion distance based on the step frequency. The user's first time period has a step frequency of 144 steps/minute. Based on the step frequency, the user is determined to move 6.2 meters in the first time period; the second time period has a step frequency of 180 steps/minute, and the user is determined based on the step frequency. In the second period, the movement is 7.8 meters; the third period has a step frequency of 160 steps/minute, and based on the step frequency, it is determined that the user has exercised 7 meters in the third period. If the user has been exercising for a total of 15 seconds, the motion distance of the three cycles is accumulated, and the first motion distance of the user is 21 meters.

In the above technical solution, since the user cannot completely move at a uniform speed during the movement, the pitch frequency is changed. If the total motion time and the total number of motion steps are used to calculate the pitch frequency, and then the pitch frequency is used to calculate the motion distance, The calculated user's motion distance error is large. If the current motion is divided into multiple time periods, the time frequency of each time period is the same, for example, 5 seconds is a time period. In general, it can be considered that the step frequency within 5 seconds is constant, and then based on the step frequency, it is determined. The distance of movement for each time period, which can improve the accuracy of estimating the distance of the user's movement.

Optionally, the terminal device may further receive an instruction input by the user, where the instruction is used to indicate an actual moving distance of the current motion of the user.

It should be understood that the manner in which the user inputs an instruction is not specifically limited in the embodiment of the present application. As a possible embodiment, the instruction may refer to an instruction manually input by a user.

Exemplarily, after the user finishes the motion, the terminal device can display a distance calibration interface through the display screen (for example, the display screen 140 described above), and the user can manually calibrate the first motion distance to the actual motion distance according to the actual motion distance.

For example, if the first exercise distance displayed on the exercise APP is 7.5 kilometers and the actual exercise distance displayed on the treadmill is 6 kilometers, the user can calibrate the user's exercise distance to 6 kilometers on the distance calibration interface of the exercise APP.

As a possible embodiment, the instruction may refer to an instruction of a user's voice input.

Illustratively, after the user has finished exercising, the user can input the actual distance of movement displayed on the treadmill to the terminal device by voice.

For example, after the user finishes the exercise, the first movement distance displayed on the exercise APP is 7.5 kilometers, and the actual movement distance displayed on the treadmill is 6 kilometers, and the user can input the voice of “actual movement distance 6 kilometers” to the terminal device. After the content of the voice is recognized, the first motion distance can be calibrated to 6 kilometers.

Alternatively, the user can directly input an instruction indicating the actual moving distance directly on the terminal device.

Optionally, the user may input an instruction indicating the actual moving distance to other devices. After receiving the instruction, the other device may send the distance information to the terminal device, and the distance information may be used to indicate the actual moving distance of the user.

It should be understood that the specific examples in the embodiments of the present application are only intended to help those skilled in the art to better understand the embodiments of the present application.

Optionally, the terminal device can also adjust the calibration function according to the actual moving distance of the current motion.

In a possible embodiment, the terminal device may adjust the calibration function according to the step frequency of the current motion, the first motion distance, and the actual motion distance of the current motion to obtain an adjusted calibration function.

The adjusted calibration function can be used to calibrate the calculated distance of the next motion, and the next calculated distance is the motion distance calculated using the preset algorithm.

Optionally, the terminal device may obtain the actual moving distance of the user according to the actual moving distance of the current motion input by the user on the sports APP.

Alternatively, other devices may transmit the actual moving distance of the user's current motion to the terminal device.

It should be understood that the manner in which the other device and other devices send the actual moving distance of the user to the terminal device is not specifically limited.

For example, other devices may be treadmills, sports bracelets, etc., and the sending method may be Bluetooth, infrared or WIFI.

Specifically, when the other device is a treadmill, the treadmill can transmit the actual moving distance of the user to the terminal device through Bluetooth, and accordingly, the terminal device can receive the actual moving distance of the user sent by the treadmill.

After the terminal device obtains the actual moving distance of the current motion of the user, the calibration function may be adjusted based on the actual moving distance of the current motion of the user, the first moving distance, and the pitch of the current motion.

For example, if the first exercise distance displayed on the exercise APP is 7.5 kilometers and the actual exercise distance displayed on the treadmill is 6 kilometers, the user can calibrate the user's exercise distance to 6 kilometers on the distance calibration interface of the exercise APP. The terminal device can adjust the calibration function according to the 6 km data input by the user, the obtained step frequency of the current motion of the user, and the 7.5 km data, so that the adjusted calibration function can be obtained, and the adjusted calibration function can be used in the user. Calibrate the calculated distance for the next exercise.

Alternatively, the terminal device can also periodically adjust the calibration function.

For example, the terminal device may adjust the calibration function based on the actual motion distance, the first motion distance, and the pitch frequency of the first period of the user's current motion, and then the terminal device may use the adjusted calibration function to estimate the second period of the user's current motion. The motion distance, the calibration function adjusted in the second period can be used to estimate the motion distance of the third period.

It should be noted that the terminal device may not train or adjust the calibration function in the following three cases:

(1) The number of user movements and calibrations is too small, and the terminal device may not train the calibration function at this time.

(2) The data of the actual moving distance input by the user is abnormal. For example, the user intentionally or unintentionally inputs an error. For example, if the actual movement is 5 kilometers but the manual input is 10 kilometers, the terminal device may not train or adjust the calibration function.

(3) There is no obvious abnormality in the current data, but the regression error of all the data is too large, and the terminal device may not adjust the calibration function at this time.

In the above technical solution, the terminal device can input the actual moving distance of the current motion of the user into the calibration function, so that the number of samples of the training calibration function is more, and the trained calibration function is more accurate, so that the first motion determined by the calibration function is performed. The distance is closer to the actual distance traveled by the user.

At 230, a first motion distance is output.

Optionally, the terminal device may display the first moving distance of the user on the UI interface.

Alternatively, the terminal device can use the voice to broadcast the first moving distance of the user.

Optionally, the terminal device may send the first motion distance to other devices in a certain manner, and the user may acquire the first motion distance by using other devices.

After the user obtains the first motion distance, a series of operations may be performed according to the first motion distance.

Alternatively, the user can save the current first exercise distance, and adjust the exercise plan or diet plan in combination with the previously saved first exercise distance.

Alternatively, the user can publish the first motion distance of the exercise on the network.

It should be understood that the various embodiments of the embodiments of the present application may be implemented separately or in combination, and the embodiments of the present application are not limited thereto.

For example, the terminal device can display the first moving distance of the user on the UI interface, and can also broadcast the first moving distance of the user.

FIG. 3 is a flow chart of an embodiment of the present application. An implementation process of an embodiment of the present application will be described below with reference to FIG. 3.

Specifically, when the user is ready to run, the start button can be clicked on the exercise APP and the treadmill, respectively, and the exercise APP and the treadmill begin to calculate the distance of the user's exercise.

For example, referring to FIG. 4, the user can open the sports app, click "indoor running", after the indoor running interface appears, click the start button, the user starts running, and the sports APP starts to calculate the user's moving distance.

The motion APP can estimate the moving distance of the user in each time period. In the process of estimating the moving distance, the personalized formula can first call a preset algorithm, and the preset algorithm calculates the second moving distance according to formula (3) and formula (4). After the preset algorithm calculates the second motion distance, the second motion distance may be fed back to the personalized formula, and the personalized formula uses the trained calibration function to adjust the second motion distance.

Specifically, the step frequency of each time period can be obtained according to the motion time and the number of motion steps of each time period. Then, the step frequency of each time period can be input into the calibration function to obtain a calibration coefficient, and then the second motion distance is multiplied by the calibration coefficient, and the adjusted motion distance of each time period can be obtained.

The personalized formula feeds the adjusted moving distance of each time period to the main control flow, and the main control process can gradually accumulate the adjusted moving distances of the obtained time periods, thereby obtaining the first moving distance and displaying the first moving distance. On the UI interface of the sports app.

When the user wants to end the run, he can click on the end button on the treadmill and sports app. The UI interface of the sports APP may display the motion data of the user's current motion, which may include, but is not limited to, the first motion distance, the exercise time, and the average pace.

As shown in the left diagram of FIG. 5, the UI interface of the sports APP shows that the user has exercised 6.01 kilometers for a total of 32 minutes and 30 seconds, and the average exercise time of one kilometer takes 5 minutes and 24 seconds.

At the same time, the exercise APP can display an interface for calibrating the distance, and the user can manually calibrate the first movement distance.

Continuing to refer to the left diagram in FIG. 5, optionally, the user can click the distance calibration button on the interface, and the distance calibration interface as shown in the right figure of FIG. 5 appears, and the user can according to the actual distance of movement displayed on the treadmill. The distance of motion on the sports APP is calibrated. As shown in Fig. 5, the UI interface of the sports APP shows that the user has exercised 6.01 km, but the treadmill shows that the user has exercised 6.1 km, then the user can select 6.1 km in the distance calibration interface, and then click the confirm button.

The terminal device can finally display the user's 6.1 km interface.

FIG. 6 shows a comparison between the actual moving distance of the user per movement, the second moving distance estimated by the terminal device using the preset algorithm, and the first moving distance estimated by the terminal device after adopting the technical solution of the embodiment of the present application. In Fig. 6, the horizontal axis represents the moving distance, and the vertical axis represents the number of movements. After the end of each exercise, the technical solution of the embodiment of the present application is used for calibration.

As shown in FIG. 6, the user actually moves 600 meters. The solid line indicates the first motion distance estimated by the terminal device after adopting the technical solution of the embodiment of the present application, and the broken line indicates the second motion distance estimated by the terminal device using the general formula.

As can be seen from Figure 6, the second motion distance has a random deviation and there is no convergence tendency. After adopting the technical solution of the embodiment of the present application, the first moving distance estimated by the terminal device has a random deviation in the previous several movements, but has gradually converge to about 600 meters in the following several times. It can be seen that, after adopting the technical solution of the embodiment of the present application, the more accurate the motion distance estimated by the user of the mobile terminal device is, the accuracy of estimating the user's motion distance is improved.

FIG. 7 is a schematic flowchart of a method for processing user information according to an embodiment of the present application. The method of FIG. 7 can be applied to the above-described terminal device 100.

The method of Figure 7 may include 710 and 720, which are described in detail below.

At 710, the step frequency of the user's current motion is determined.

For a specific implementation process of the 710, reference may be made to the description of 210 in FIG. 2, and a detailed description thereof is omitted herein to avoid redundancy.

At 720, a first step of the user's current motion is determined based on the pitch of the current motion.

In one implementation, the terminal device can determine the first step of the current motion through the calibration function based on the pitch of the current motion.

As an example, the terminal device can obtain the calibration coefficient through the calibration function based on the pitch of the current motion, and then calibrate the second step by using the calibration coefficient, so that the first step can be obtained.

Optionally, the second step is obtained according to a personal parameter of the user, wherein the personal parameter may include at least one of a height, a weight, or a gender of the user.

Alternatively, the terminal device may obtain the second step according to formula (4).

It should be noted that, according to the step frequency of the current motion, the partial implementation manner of determining the first step of the current motion by the calibration function is the same as the partial implementation process of 220 in FIG. 2, and for the sake of brevity, the following is omitted as appropriate. description of.

This implementation can be as shown in equation (9):

First step = second step *f (step frequency) (9)

As an example, the terminal device may obtain a calibration coefficient by using a calibration function based on the pitch of the current motion, and then calibrate the first coefficient by using the calibration coefficient, and then calibrate the second step by using the first coefficient after the calibration. Thereby the first step can be determined.

This implementation can be as shown in equation (10):

First step = first coefficient * f (step frequency) * personal parameters (10)

In one implementation, the terminal device can directly determine the first step of the user's current motion based on the pitch of the current motion.

Optionally, the terminal device may determine the first step of the current motion of the user by using a certain algorithm based on the step frequency of the current motion.

It should be understood that the algorithm in this application does not specifically limit the algorithm, and any algorithm that can determine the first step based on the step frequency is covered by the scope of the present application.

Alternatively, the current motion may include multiple time periods.

At this time, the terminal device may determine the first step of each time slot based on the pitch of each of the plurality of time periods.

In a possible embodiment, the terminal device may obtain the first step of each time period by using a calibration function based on the step frequency of each of the plurality of time periods.

That is to say, the terminal device can obtain the calibration coefficients of the respective time periods according to the calibration function and the step frequency of each time period in the plurality of time periods, and then obtain the first step of each time period according to the calibration coefficients of each time period and the preset algorithm respectively. Width.

Optionally, the terminal device can directly calibrate the second step of each time period by using calibration coefficients of respective time periods.

Optionally, the terminal device may calibrate the first coefficients of the respective time periods by using calibration coefficients of respective time periods, and then use the first coefficients after the calibration of the respective time periods to obtain the first step of each time period.

In a possible embodiment, the terminal device can directly determine the first step of the user at each time interval based on the user's step frequency at each time period.

Exemplarily, 5 seconds is a time period, and the terminal device can calculate the step frequency of the user every 5 seconds, and the stride of each time period is determined based on the step frequency. For example, the user's first time period has a step frequency of 144 steps/minute. Based on the step frequency, the user's step size is 0.53 meters in the first time period; the second time step frequency is 180 steps/minute, based on the step. The frequency determines that the user has a step size of 0.5 meters in the second period; the step frequency in the third period is 160 steps/minute, and based on the step frequency, the user's step size in the third period is determined to be 0.61 meters.

In the above technical solution, since the user cannot completely move at a uniform speed during the movement, the step frequency is changed. If the total exercise time and the total number of motion steps are used to calculate the step frequency, the step frequency is used to calculate the first step. In the case of the first step, the calculated error is large. If the current motion is divided into multiple time periods, the time frequency of each time period is the same, for example, 5 seconds is a time period. In general, it can be considered that the step frequency within 5 seconds is constant, and then based on the step frequency, it is determined. The first step of each time period, which can improve the accuracy of estimating the user's first step.

Optionally, after the terminal device determines the first step of the user, the terminal device may perform a series of operations according to the first step.

For example, the terminal device can output the first step of the user.

Optionally, the terminal device may display the first step of the user on the UI interface.

Alternatively, the terminal device can use the voice to broadcast the first step of the user.

Optionally, the terminal device can send the first step to other devices in a certain manner, and the user can obtain the first step by using other devices.

The user can perform a series of operations according to the first step of the output of the terminal device, which is not specifically limited in this embodiment of the present application.

For example, if the personal parameter in the formula (4) is the weight of the user, the terminal device may determine the height and/or gender of the user according to the first step, and based on the determined gender, the terminal device may push the user to be interested in the user. APP. For example, if the terminal device determines that the user is a female according to the first step, the user may push a shopping APP, a game APP suitable for a female, and the like.

For another example, the terminal device can push a motion mode suitable for the user on the sports APP according to the first step of the user.

For another example, if the first step of the user determined by the terminal device is obviously inconsistent with the personal parameter during the motion, the terminal device may determine that the user may be excessively exercising, and the user's body may not be able to withstand the current amount of exercise. The terminal device will give a warning sound, such as a continuous beep, or a user to stop the motion of the voice broadcast, etc., to prevent the user from being injured during the exercise.

It should be noted that, in the embodiment of the present application, the term “and/or” is merely an association relationship describing an association object, indicating that there may be three relationships, for example, A and/or B, which may indicate that A exists separately. There are three cases of A and B, and B alone.

The method provided by the embodiment of the present application is described in detail. In order to implement the functions in the foregoing method provided by the embodiment of the present application, the terminal device may include a hardware structure and/or a software module, a hardware structure, a software module, or a hardware structure. The software modules are added to implement the above functions. One of the above functions is performed in a hardware structure, a software module, or a hardware structure plus a software module, depending on the specific application and design constraints of the technical solution.

Based on the same inventive concept as the foregoing method embodiment, the embodiment of the present application provides a terminal device, which can correspond to the terminal device described in the foregoing methods 210-230. FIG. 8 is a schematic block diagram of a terminal device according to an embodiment of the present application. It should be understood that the terminal device 800 shown in FIG. 8 is only an example, and the terminal device in the embodiment of the present application may further include other modules or units, or include modules similar to those of the modules in FIG. 8, or not including the figure. All modules in 8.

a first determining unit 810, configured to determine a step frequency of a current motion of the user;

a second determining unit 820, configured to determine, according to the step frequency of the current motion determined by the first determining unit 810, a first moving distance of the current motion of the user;

The output unit 830 is configured to output the first motion distance determined by the second determining unit 820.

Optionally, the terminal device 800 may further include a calculating unit 840, configured to calculate, according to a preset algorithm, a first calculated motion distance of the user, where the first motion is a motion before the current motion.

Optionally, the terminal device 800 may further include an obtaining unit 850, configured to acquire a step frequency of the first motion of the user.

Optionally, the terminal device 800 may further include a generating unit 860, configured to generate a calibration function according to the step frequency of the first motion acquired by the obtaining unit 850, the calculated motion distance calculated by the calculating unit 840, and the actual motion distance of the first motion. The calibration function is a function of the step frequency as an independent variable.

Optionally, the second determining unit 820 is specifically configured to obtain a calibration coefficient according to the calibration function generated by the generating unit 860 and the step frequency of the current motion determined by the first determining unit 810; and obtain the user by using the calibration coefficient and the preset algorithm. The first movement distance of the current movement.

Optionally, the second determining unit 820 is specifically configured to calculate a second moving distance of the current motion according to a preset algorithm; and use the calibration coefficient to calibrate the second moving distance to obtain a first moving distance.

Optionally, the second determining unit 820 is specifically configured to: calibrate the parameter in the preset algorithm by using the calibration coefficient, to obtain a calibrated preset algorithm; and calculate the first motion by using the calibrated preset algorithm. Movement distance.

The preset algorithm is configured to calculate the motion distance according to the detected motion step number and the user's stride parameter.

Optionally, the terminal device 800 may further include an adjusting unit 870, configured according to the step frequency of the current motion determined by the first determining unit 810, the first motion distance determined by the second determining unit 820, and the actual moving distance of the current motion, The calibration function generated by the generating unit 860 is adjusted to obtain an adjusted calibration function, and the adjusted calibration function is used to calibrate the calculated distance of the next motion, and the next calculated distance is the motion distance calculated using the preset algorithm. .

Optionally, the terminal device 800 may further include a receiving unit 880, configured to receive an instruction input by the user, where the instruction is used to indicate an actual moving distance of the current motion.

Among them, the actual moving distance of the current exercise is the moving distance on the treadmill.

Optionally, the current motion includes multiple time periods, and the second determining unit 820 is specifically configured to determine a motion distance of each time period based on a step frequency of each of the plurality of time periods; And determine the first motion distance for the user's current motion.

Optionally, the current motion includes a plurality of time periods, and the second determining unit 820 is specifically configured to obtain calibration coefficients of the respective time periods according to the calibration function generated by the generating unit 860 and the step frequency of each of the plurality of time periods; The calibration coefficient and the preset algorithm of each time period respectively obtain the motion distances of the respective time periods; the sum of the motion distances of the respective time periods is determined as the first motion distance.

Optionally, the step frequencies of two adjacent ones of the plurality of time periods are different.

Optionally, the first determining unit 810 is specifically configured to acquire current motion data of the user, where the current motion data includes a current motion time and a current motion step number; and determining a current motion step frequency according to the current motion time and the current motion step number. .

It should be understood that the terminal device 800 can perform the operations of the methods 210-230 provided by the embodiments of the present application. Here, in order to avoid redundancy, detailed description thereof is omitted.

As shown in FIG. 9, the terminal device 900 is provided to implement the functions of the methods 210-230 provided by the embodiments of the present application. The terminal device 900 includes a processor 920 for implementing the functions of the methods 210-230 provided by the embodiments of the present application. For example, the processor 920 may be configured to determine a pitch of a current motion of the user, determine a first motion distance of the current motion of the user, and the like based on the pitch of the current motion. For details, refer to the detailed description in the method example, where Make a statement.

The terminal device 900 can also include a memory 930 for storing program instructions and/or data. Memory 930 is coupled to processor 920. The coupling in the embodiments of the present application is an indirect coupling or communication connection between devices, units or modules, and may be in an electrical, mechanical or other form for information interaction between devices, units or modules. Processor 920 may operate in conjunction with memory 930. Processor 920 may execute program instructions stored in memory 930.

The processor 920 can be implemented by hardware or by software. When implemented by hardware, the processor 920 can be a logic circuit, an integrated circuit, etc.; when implemented by software, the processor 920 can be a general-purpose processor. The memory 930 can be integrated into the processor 920 by reading the software code stored in the memory 930, and can exist independently of the processor 920 and exist independently.

The terminal device 900 may further include a transceiver 910 for communicating with other devices through the transmission medium, so that the terminal devices in the terminal device 900 can communicate with other devices. The processor 920 can utilize the transceiver 910 to transmit and receive signals and is used to implement the methods in the method embodiments of the present application.

Alternatively, the transceiver 910 may also be referred to as a transceiver unit, a transceiver, or a transceiver circuit or the like.

Optionally, the transceiver 910 can include a control circuit and an antenna, wherein the control circuit can be used for converting baseband signals and radio frequency signals and processing the radio frequency signals, and the antenna can be used to transmit and receive radio frequency signals.

The specific connection medium between the above transceiver 910, the processor 920, and the memory 930 is not limited in the embodiment of the present application. In the embodiment of the present application, the memory 930, the processor 920, and the transceiver 910 are connected by a bus 940 in FIG. 9. The bus is indicated by a thick line in FIG. 9, and the connection manner between other components is only schematically illustrated. , not limited to. The bus can be divided into an address bus, a data bus, a control bus, and the like. For ease of representation, only one thick line is shown in Figure 9, but it does not mean that there is only one bus or one type of bus.

Based on the same inventive concept as the foregoing method embodiment, the embodiment of the present application provides a terminal device, which can correspond to the terminal device described in the foregoing

methods

710 and 720. FIG. 10 is a schematic block diagram of a terminal device according to an embodiment of the present application. It should be understood that the terminal device 1000 shown in FIG. 10 is only an example, and the terminal device in the embodiment of the present application may further include other modules or units, or include modules similar to those of the modules in FIG. 10, or not including the figure. All modules in 10.

The first determining unit 1010 is configured to determine a step frequency of the current motion of the user.

The second determining unit 1020 is configured to determine a first step of the current motion of the user based on the pitch of the current motion determined by the first determining unit 1010.

Optionally, the terminal device 1000 may further include a calculating unit 1030, configured to calculate, according to a preset algorithm, a first calculated motion distance of the user, where the first motion is a motion before the current motion.

Optionally, the terminal device 1000 may further include an obtaining unit 1040, configured to acquire a step frequency of the first motion of the user.

Optionally, the terminal device 1000 may further include a generating unit 1050, configured to generate a calibration function according to the step frequency of the first motion acquired by the obtaining unit 1040, the calculated motion distance calculated by the calculating unit 1030, and the actual motion distance of the first motion. The calibration function is a function of the step frequency as an independent variable.

Optionally, the second determining unit 1020 is specifically configured to obtain a calibration coefficient according to the calibration function generated by the generating unit 1050 and the step frequency of the current motion determined by the first determining unit 1010; and obtain the user by using the calibration coefficient and the preset algorithm. The first step of the current movement.

Optionally, the second determining unit 1020 is specifically configured to calculate a second stride of the current motion according to the preset algorithm, and perform calibration on the second stride by using the calibration coefficient to obtain a Said the first step.

The second step is obtained according to at least one of the user's height, weight or gender.

Optionally, the current motion includes multiple time periods, and the second determining unit 1020 is specifically configured to determine a first step of each time period based on a step frequency of each of the plurality of time periods.

Optionally, the current motion includes a plurality of time periods, and the second determining unit 1020 is specifically configured to obtain calibration coefficients of the respective time periods according to the calibration function generated by the generating unit 1050 and the step frequency of each of the plurality of time periods; The calibration coefficients and preset algorithms for each time period get the first step of each time period.

Optionally, the first determining unit 1010 is specifically configured to acquire current motion data of the user, where the current motion data includes a current motion time and a current motion step number; and determining a current motion step frequency according to the current motion time and the current motion step number. .

It should be understood that the terminal device 1000 can perform the operations of the

methods

710 and 720 provided by the embodiments of the present application. Here, in order to avoid redundancy, detailed description thereof is omitted.

As shown in FIG. 11 , the terminal device 1100 is provided to implement the functions of the

methods

710 and 720 provided by the embodiments of the present application. The terminal device 1100 includes a processor 1120 for implementing the functions of the

methods

710 and 720 provided by the embodiments of the present application. Exemplarily, the processor 1120 may be configured to determine a pitch of a current motion of the user, determine a first step of the current motion of the user, and the like based on the pitch of the current motion. For details, refer to the detailed description in the method example, where Make a statement.

The terminal device 1100 may also include a memory 1130 for storing program instructions and/or data. Memory 1130 is coupled to processor 1120. The coupling in the embodiments of the present application is an indirect coupling or communication connection between devices, units or modules, and may be in an electrical, mechanical or other form for information interaction between devices, units or modules. Processor 1120 may operate in conjunction with memory 1130. The processor 1120 may execute program instructions stored in the memory 1130.

The processor 1120 can be implemented by hardware or by software. When implemented by hardware, the processor 1120 can be a logic circuit, an integrated circuit, etc.; when implemented by software, the processor 1120 can be a general-purpose processor. The memory 1130 can be integrated into the processor 1120 by reading the software code stored in the memory 1130, and can be located outside the processor 1120 and exist independently.

The terminal device 1100 may further include a transceiver 1110 for communicating with other devices through the transmission medium, so that the terminal devices in the terminal device 1100 can communicate with other devices. The processor 1120 can utilize the transceiver 1110 to transmit and receive signals and is used to implement the method in the method embodiments of the present application.

The specific connection medium between the above transceiver 1110, the processor 1120, and the memory 1130 is not limited in the embodiment of the present application. In the embodiment of the present application, the memory 1130, the processor 1120, and the transceiver 1110 are connected by a bus 1140 in FIG. 11, and the bus is indicated by a thick line in FIG. 11, and the connection manner between other components is only schematically illustrated. , not limited to. The bus can be divided into an address bus, a data bus, a control bus, and the like. For ease of representation, only one thick line is shown in Figure 11, but it does not mean that there is only one bus or one type of bus.

In this embodiment, the processor may be a central processing unit (CPU), and the processor may also be other general-purpose processors, digital signal processors (DSPs), and application specific integrated circuits ( Application specific integrated circuit (ASIC), field programmable gate array (FPGA) or other programmable logic device, discrete gate or transistor logic device, discrete hardware component, etc. The general purpose processor may be a microprocessor or the processor or any conventional processor or the like.

In the embodiments of the present application, the memory may be a volatile memory or a non-volatile memory, or may include both volatile and non-volatile memory. The non-volatile memory may be a read-only memory (ROM), a programmable read only memory (ROMM), an erasable programmable read only memory (erasable PROM, EPROM), or an electrical Erase programmable EPROM (EEPROM) or flash memory. The volatile memory can be a random access memory (RAM) that acts as an external cache. By way of example and not limitation, many forms of random access memory (RAM) are available, such as static random access memory (SRAM), dynamic random access memory (DRAM), synchronous dynamic randomness. Synchronous DRAM (SDRAM), double data rate synchronous DRAM (DDR SDRAM), enhanced synchronous dynamic random access memory (ESDRAM), synchronous connection dynamic random access memory Take memory (synchlink DRAM, SLDRAM) and direct memory bus random access memory (DR RAM).

It should be understood that, in the various embodiments of the present application, the size of the sequence numbers of the foregoing processes does not mean the order of execution sequence, and the order of execution of each process should be determined by its function and internal logic, and should not be applied to the embodiment of the present application. The implementation process constitutes any limitation.

A person skilled in the art can clearly understand that for the convenience and brevity of the description, the specific working process of the system, the device and the unit described above can refer to the corresponding process in the foregoing method embodiment, and details are not described herein again.

In the several embodiments provided by the present application, it should be understood that the disclosed systems, devices, and methods may be implemented in other manners. For example, the device embodiments described above are merely illustrative. For example, the division of the unit is only a logical function division. In actual implementation, there may be another division manner, for example, multiple units or components may be combined or Can be integrated into another system, or some features can be ignored or not executed. In addition, the mutual coupling or direct coupling or communication connection shown or discussed may be an indirect coupling or communication connection through some interface, device or unit, and may be in an electrical, mechanical or other form.

The units described as separate components may or may not be physically separated, and the components displayed as units may or may not be physical units, that is, may be located in one place, or may be distributed to multiple network units. Some or all of the units may be selected according to actual needs to achieve the purpose of the solution of the embodiment.

In addition, each functional unit in each embodiment of the present application may be integrated into one processing unit, or each unit may exist physically separately, or two or more units may be integrated into one unit.

The method provided by the embodiment of the present application may be implemented in whole or in part by software, hardware, firmware, or any combination thereof. When implemented in software, it may be implemented in whole or in part in the form of a computer program product. The computer program product includes one or more computer instructions. When the computer program instructions are loaded and executed on a computer, the processes or functions described in accordance with embodiments of the present application are generated in whole or in part. The computer can be a general purpose computer, a special purpose computer, a computer network, a network device, a user device, or other programmable device. The computer instructions can be stored in a computer readable storage medium or transferred from one computer readable storage medium to another computer readable storage medium, for example, the computer instructions can be from a website site, computer, server or data center Transmission to another website site, computer, server or data center via wired (eg coaxial cable, fiber optic, digital subscriber line (DSL)) or wireless (eg infrared, wireless, microwave, etc.). The computer readable storage medium can be any available media that can be accessed by a computer or a data storage device such as a server, data center, or the like that includes one or more available media. The usable medium may be a magnetic medium (eg, a floppy disk, a hard disk, a magnetic tape), an optical medium (eg, a digital video disc (DVD)), or a semiconductor medium (eg, an SSD) or the like.

The foregoing is only a specific embodiment of the present application, but the scope of protection of the present application is not limited thereto, and any person skilled in the art can easily think of changes or substitutions within the technical scope disclosed in the present application. It should be covered by the scope of protection of this application. Therefore, the scope of protection of the present application should be determined by the scope of the claims.

Claims

A method for acquiring a user's motion distance, comprising:

Determining the pace of the user's current motion;

Determining a first motion distance of the current motion of the user based on the step frequency of the current motion;

The first moving distance is output.
The method according to claim 1, wherein before the determining the step frequency of the current motion of the user, the method further comprises:

Calculating a calculated motion distance of the first motion of the user according to a preset algorithm, where the first motion is a motion before the current motion;

Obtaining a step frequency of the first motion of the user;

Generating a calibration function according to the pitch of the first motion, the calculated motion distance, and the actual distance of the first motion, the calibration function being a function of the pitch as an independent variable;

Determining, according to the step frequency of the current motion, determining a first motion distance of the current motion of the user, including:

Obtaining a calibration coefficient according to the calibration function and the pitch of the current motion;

Using the calibration coefficient and the preset algorithm, a first motion distance of the user's current motion is obtained.
The method according to claim 2, wherein the using the calibration coefficient and the preset algorithm to obtain a first motion distance of the user's current motion comprises:

Calculating, according to the preset algorithm, a second motion distance of the current motion;

The second moving distance is calibrated using the calibration coefficient to obtain the first moving distance.
The method according to claim 2, wherein the using the calibration coefficient and the preset algorithm to obtain a first motion distance of the user's current motion comprises:

Using the calibration coefficient, calibrating parameters in the preset algorithm to obtain a calibrated preset algorithm;

The first motion distance of the current motion is calculated using the calibrated preset algorithm.
The method according to any one of claims 2 to 4, wherein the preset algorithm is configured to calculate a motion distance based on the detected number of motion steps and a user's stride parameter.
The method according to any one of claims 2 to 5, wherein the method further comprises:

And adjusting the calibration function according to the step frequency of the current motion, the first motion distance and the actual motion distance of the current motion, to obtain an adjusted calibration function, where the adjusted calibration function is used to The calculated distance of the next motion is calibrated, and the next calculated distance is the motion distance calculated using the preset algorithm.
The method according to any one of claims 1 to 6, wherein the method further comprises:

An instruction input by the user is received, the instruction being used to indicate an actual moving distance of the current motion.
The method according to claim 6 or 7, wherein the actual moving distance of the current motion is the moving distance on the treadmill.
The method according to any one of claims 1 to 8, wherein the current motion comprises a plurality of time periods, and the first motion distance of the current motion of the user is determined based on the pitch of the current motion ,include:

Determining a moving distance of each time period based on a step frequency of each of the plurality of time periods;

The sum of the motion distances of the plurality of time periods is determined as the first motion distance of the current motion of the user.
The method according to any one of claims 2 to 6, wherein the current motion comprises a plurality of time periods, the obtaining a calibration coefficient according to the calibration function, and a pitch of the current motion, including :

And obtaining calibration coefficients of respective time periods according to the calibration function and the step frequency of each of the plurality of time periods;

And using the calibration coefficient and the preset algorithm to obtain a first motion distance of the current motion of the user, including:

Obtaining a motion distance of each time period according to the calibration coefficient of each time period and the preset algorithm;

The sum of the moving distances of the respective periods is determined as the first moving distance.
The method according to claim 9 or 10, wherein the adjacent two of the plurality of time periods have different step frequencies.
The method according to any one of claims 1 to 11, wherein the determining a step frequency of a user's current motion comprises:

Obtaining current motion data of the user, where the current motion data includes a current motion time and a current motion step number;

Determining the pitch of the current motion based on the current motion time and the current number of motion steps.
A terminal device, comprising:

a first determining unit, configured to determine a step frequency of the current motion of the user;

a second determining unit, configured to determine, according to the step frequency of the current motion determined by the first determining unit, a first moving distance of the current motion of the user;

And an output unit, configured to output the first motion distance determined by the second determining unit.
The terminal device according to claim 13, wherein the terminal device further comprises:

a calculating unit, configured to calculate, according to a preset algorithm, a calculated moving distance of the first motion of the user, where the first motion is a motion before the current motion;

An obtaining unit, configured to acquire a step frequency of the first motion of the user;

a generating unit, configured to generate a calibration function according to a step frequency of the first motion acquired by the acquiring unit, the calculated motion distance calculated by the calculating unit, and an actual distance of the first motion, the calibration function Is a function with a step frequency as an independent variable;

The second determining unit is specifically configured to:

Obtaining a calibration coefficient according to the calibration function generated by the generating unit and the step frequency of the current motion determined by the first determining unit;

Using the calibration coefficient and the preset algorithm, a first motion distance of the user's current motion is obtained.
The terminal device according to claim 14, wherein the second determining unit is specifically configured to:

Calculating, according to the preset algorithm, a second motion distance of the current motion;

The second moving distance is calibrated using the calibration coefficient to obtain the first moving distance.
The terminal device according to claim 14, wherein the second determining unit is specifically configured to:

Using the calibration coefficient, calibrating parameters in the preset algorithm to obtain a calibrated preset algorithm;

The first motion distance of the current motion is calculated using the calibrated preset algorithm.
The terminal device according to any one of claims 14 to 16, wherein the preset algorithm is for calculating a motion distance based on the detected number of motion steps and a user's stride parameter.
The terminal device according to any one of claims 14 to 17, wherein the terminal device further comprises:

An adjusting unit, configured to perform the calibration according to the pitch of the current motion determined by the first determining unit, the first motion distance determined by the second determining unit, and the actual motion distance of the current motion The function adjusts to obtain an adjusted calibration function for calibrating the calculated distance of the next motion, the next calculated distance being the motion distance calculated using the preset algorithm.
The terminal device according to any one of claims 13 to 18, wherein the terminal device further comprises:

And a receiving unit, configured to receive an instruction input by the user, where the instruction is used to indicate an actual moving distance of the current motion.
The terminal device according to claim 18 or 19, wherein the actual moving distance of the current motion is a moving distance on the treadmill.
The terminal device according to any one of claims 13 to 20, wherein the current motion comprises a plurality of time periods, and the second determining unit is specifically configured to:

Determining a moving distance of each time period based on a step frequency of each of the plurality of time periods;

The sum of the motion distances of the plurality of time periods is determined as the first motion distance of the current motion of the user.
The terminal device according to any one of claims 14 to 18, wherein the current motion comprises a plurality of time periods, and the second determining unit is specifically configured to:

And obtaining calibration coefficients of respective time periods according to the calibration function and the step frequency of each of the plurality of time periods;

Obtaining a motion distance of each time period according to the calibration coefficient of each time period and the preset algorithm;

The sum of the moving distances of the respective periods is determined as the first moving distance.
The terminal device according to claim 21 or 22, wherein a step frequency of two adjacent ones of the plurality of time periods is different.
The terminal device according to any one of claims 13 to 23, wherein the first determining unit is specifically configured to:

Obtaining current motion data of the user, where the current motion data includes a current motion time and a current motion step number;

Determining the pitch of the current motion based on the current motion time and the current number of motion steps.
A computer readable storage medium comprising instructions which, when executed on a computer, cause the computer to perform the method of any one of claims 1 to 12.