WO2021254092A1

WO2021254092A1 - Rowing stroke frequency recommendation method, apparatus and device

Info

Publication number: WO2021254092A1
Application number: PCT/CN2021/095057
Authority: WO
Inventors: 曾恂
Original assignee: 华为技术有限公司
Priority date: 2020-06-19
Filing date: 2021-05-21
Publication date: 2021-12-23
Also published as: CN113823379A

Abstract

A rowing stroke frequency recommendation method, apparatus (340) and device (350). The method comprises: after a terminal (30) enters a rowing machine motion mode in response to a user operation, determining, according to indication information, a target motion intensity corresponding to a present rowing machine motion (S402); determining, according to a mapping relation between the motion intensity and the heart rate, a target heart rate interval corresponding to the target motion intensity (S403); then by acquiring a mapping relation between the heart rate and the rowing stroke frequency in advance, determining, according to the mapping relation between the heart rate and the rowing stroke frequency, a target rowing stroke frequency interval corresponding to the target heart rate interval (S404); and recommending the target rowing stroke frequency interval to a user (S405). In this way, the user can control his or her rowing stroke frequency according to the target rowing stroke frequency interval, thereby realizing the effect that guidance is provided for the rowing motion of the user by means of the appropriate rowing stroke frequency.

Description

Recommended methods, devices and equipment for paddle frequency

This application claims the priority of a Chinese patent application filed with the Chinese Patent Office on June 19, 2020, the application number is 202010567545.6, and the application name is "Recommended method, device and equipment for paddle frequency", the entire content of which is incorporated by reference In this application.

Technical field

This application relates to the field of terminal technology, and in particular to a method, device, and equipment for recommending a paddle frequency.

Background technique

With the continuous development of technology, terminals, such as wearable devices, have entered people's daily lives, providing convenience for people's daily lives. For example, during the user's exercise, the wearable device can collect the user's exercise data, and display the user's exercise status to the user based on the exercise data.

Taking rowing exercise as an example, the wearable device worn on the user's wrist will display the user's current heart rate during the entire rowing exercise process, so that the user can adjust the exercise intensity according to the heart rate. However, current wearable devices cannot provide guidance for the user's rowing exercise based on the heart rate.

Summary of the invention

The method, device, and equipment for recommending the paddle frequency provided by the embodiments of the present application can recommend an appropriate paddle frequency to the user according to the heart rate during the rowing exercise, so as to provide guidance for the user's rowing exercise.

In the first aspect, an embodiment of the present application provides a method for recommending a paddle frequency, and the method for recommending a paddle frequency may include:

In response to the user's first operation, the rowing machine mode is activated.

After entering the rowing machine mode, the target exercise intensity corresponding to this rowing machine exercise is determined according to the instruction information, and the instruction information is input by the user.

According to the mapping relationship between exercise intensity and heart rate, the target heart rate interval corresponding to the target exercise intensity is determined.

According to the mapping relationship between the heart rate and the stroke frequency, the target stroke frequency interval corresponding to the target heart rate interval is determined.

Recommend the target stroke frequency range to the user.

It can be seen that, in the embodiment of the present application, by acquiring the mapping relationship between the heart rate and the stroke frequency, after the target exercise intensity corresponding to the user’s current rowing is determined according to the instruction information, the heart rate interval corresponding to the target exercise intensity can be determined. , And the mapping relationship between heart rate and stroke frequency, recommend the target stroke frequency range corresponding to the target heart rate range to the user, so that the user can control his own stroke frequency according to the target stroke frequency range, thus achieving a suitable The rowing frequency provides guidance for the user’s rowing exercise.

In a possible implementation manner, recommending the target stroke frequency range to the user may include:

The target paddle frequency range is displayed to the user, so that the user can control his own paddle frequency according to the target paddle frequency range, so as to provide guidance for the user's rowing movement through a suitable paddle frequency.

In a possible implementation manner, the mapping relationship between the heart rate and the stroke frequency is obtained by training based on the user's historical heart rate and the stroke frequency corresponding to the historical heart rate. Since training the correlation model between the heart rate and the stroke frequency based on the user's historical heart rate and the stroke frequency corresponding to the historical heart rate is more suitable for the user, training the fitted heart rate and the stroke frequency according to the historical heart rate and the stroke frequency corresponding to the historical heart rate The correlation model between the stroke frequencies recommends the target stroke frequency range to the user, which can improve the accuracy of the recommendation.

In a possible implementation manner, the recommended method for the stroke frequency may further include:

Acquire characteristic information of the user; the characteristic information includes at least one of age, gender, or weight.

Send characteristic information to the service.

Receive the mapping relationship between the heart rate and the stroke frequency from the server; the mapping relationship between the heart rate and the stroke frequency is determined according to the feature information, so that there is not enough history heart rate and the history heart rate corresponding to the stroke frequency training fit When the correlation model between the heart rate and the stroke frequency is obtained, the correlation model between the heart rate and the stroke frequency suitable for the user with the characteristic information is obtained from the server, and the correlation model between the heart rate and the stroke frequency is determined The target stroke frequency range, thereby recommending the target stroke frequency range to the user.

Get the user's real-time paddle frequency;

Remind the user based on the real-time paddle frequency and the target paddle frequency range.

In a possible implementation manner, reminding the user based on the real-time paddle frequency and the target paddle frequency range may include:

If the real-time stroke frequency is less than the minimum value of the target stroke frequency range, the first prompt message is output; the first prompt message is used to prompt the user to speed up the stroke frequency; if the real-time stroke frequency is greater than the maximum value of the target stroke frequency range, Then the second prompt information is output; the second prompt information is used to prompt the user to reduce the stroke frequency.

It is understandable that when reminding the user based on the comparison result, in a possible implementation, once it is detected that the real-time stroke frequency is less than the minimum value of the target stroke frequency range, or is greater than the maximum value of the target stroke frequency range , To remind the user. However, with this method, the reminders may be too frequent, which may result in a bad user experience. Therefore, in order to avoid frequent reminders, you can remind the user when the real-time stroke frequency is less than the minimum value of the target stroke frequency range, or when the number of times greater than the maximum value of the target stroke frequency range is greater than the preset threshold, so as to reduce the reminder frequency. The preset threshold value can be set according to actual needs. Here, the embodiment of the present application does not specifically limit the size of the preset threshold value. It should be noted that, in the embodiment of the present application, when reminding the user based on the comparison result, the user can be reminded through a mobile phone, or the prompt information for reminding the user can be sent to a wearable device, such as a smart watch or a smart bracelet. Thus, the user is reminded through the smart watch or smart bracelet.

In a possible implementation manner, the instruction information is a sports target, and before determining the target exercise intensity corresponding to this rowing machine exercise according to the instruction information, it may further include:

Obtain the mapping relationship between the motion target and the motion plan.

According to the mapping relationship between the sports target and the sports program, the target sports program corresponding to the sports target is determined; the sports intensity corresponding to the target sports program is the target sports intensity.

In a possible implementation manner, before determining the target exercise intensity corresponding to this rowing machine exercise according to the instruction information, it may further include:

Display the list of sports goals corresponding to the rowing machine mode; the list of sports goals includes at least one of relaxation, fat loss, weight loss, cardiorespiratory performance, muscle gain, and sports performance, which can be used to select your own exercise based on the list of sports goals The movement goal that you want to achieve, so as to determine the target stroke frequency range suitable for the movement goal.

In response to the user's second operation, exit the rowing machine mode.

After exiting the rowing machine mode, the user's exercise results are displayed. The exercise results include at least one of exercise duration, calories burned, or exercise mileage, so that the user can intuitively see the exercise results of the entire exercise process, thereby enriching the display content .

In a possible implementation manner, in response to the user's first operation, starting the rowing machine mode may include:

A list of sports items is displayed, and the list of sports items includes rowing machine exercises.

The rowing machine mode is activated according to the user's starting operation for the rowing machine movement.

In this possible implementation mode, when starting the rowing machine mode, the user manually starts the rowing machine mode. Although this method requires the user to manually trigger, the rowing machine mode can be activated by this method, which can effectively prevent the rowing machine mode from being turned on by mistake. Circumstances, improve the accuracy of rowing machine mode activation.

In a possible implementation manner, the method for recommending the rowing frequency may further include: automatically starting the rowing machine mode when the Bluetooth connection with the rowing machine is detected. This startup process does not require manual operation by the user, although this method may exist If the rowing machine mode is turned on by mistake, but manually starting the rowing machine mode with the above-mentioned user, the manual operation of the user can be reduced and the user experience can be improved.

The heart rate of this rowing machine exercise and the stroke frequency corresponding to the heart rate are used to update the mapping relationship between the heart rate and the stroke frequency, thereby improving the accuracy of the correlation model between the heart rate and the stroke frequency.

In the second aspect, an embodiment of the present application also provides a device for recommending a paddle frequency, and the device for recommending a paddle frequency may include:

The processing unit is configured to start the rowing machine mode in response to the user's first operation; and after entering the rowing machine mode, determine the target exercise intensity corresponding to this rowing machine exercise according to the instruction information, and the instruction information is input by the user.

The processing unit is also used to determine the target heart rate interval corresponding to the target exercise intensity according to the mapping relationship between exercise intensity and heart rate; and to determine the target stroke frequency corresponding to the target heart rate interval according to the mapping relationship between heart rate and stroke frequency Interval.

The processing unit is also used to recommend the target stroke frequency range to the user.

In a possible implementation, the device for recommending the stroke frequency further includes a display unit.

The display unit is used to display the target stroke frequency range to the user.

In a possible implementation manner, the mapping relationship between the heart rate and the stroke frequency is obtained by training based on the user's historical heart rate and the stroke frequency corresponding to the historical heart rate.

In a possible implementation manner, the device for recommending the stroke frequency further includes:

The acquiring unit is used to acquire characteristic information of the user; the characteristic information includes at least one of age, gender, or weight.

The sending unit is used to send characteristic information to the service.

The receiving unit is configured to receive the mapping relationship between the heart rate and the paddle frequency from the server; the mapping relationship between the heart rate and the paddle frequency is determined according to the characteristic information.

In a possible implementation manner, the acquiring unit is also used to acquire the real-time paddle frequency of the user.

The processing unit is also used to remind the user according to the real-time paddle frequency and the target paddle frequency range.

In a possible implementation manner, the processing unit is specifically configured to output first prompt information if the real-time stroke frequency is less than the minimum value of the target stroke frequency interval; the first prompt information is used to prompt the user to increase the stroke frequency; If the real-time stroke frequency is greater than the maximum value of the target stroke frequency interval, the second prompt information is output; the second prompt information is used to prompt the user to reduce the stroke frequency.

In a possible implementation manner, the indication information is a motion target; the acquiring unit is also used to acquire the mapping relationship between the motion target and the motion scheme.

The processing unit is also used to determine the target exercise program corresponding to the sports target according to the mapping relationship between the exercise target and the exercise program; the exercise intensity corresponding to the target exercise program is the target exercise intensity.

In a possible implementation, the display unit is also used to display a list of corresponding sports goals in the rowing machine mode; the list of sports goals includes at least one of relaxation, fat loss and weight loss, cardiopulmonary abilities, muscle gain, and sports performance. A sort of.

In a possible implementation manner, the processing unit is further configured to exit the rowing machine mode in response to the second operation of the user;

The display unit is also used to display the user's exercise results after exiting the rowing machine mode, and the exercise results include at least one of exercise duration, calories burned, or exercise mileage.

In a possible implementation manner, the display unit is also used to display a list of sports items, and the list of sports items includes rowing machine exercises.

The processing unit is specifically configured to start the rowing machine mode according to the user's starting operation for the rowing machine movement.

In a possible implementation manner, the processing unit is further configured to automatically start the rowing machine mode when it detects that the Bluetooth connection is established with the rowing machine.

In a possible implementation manner, the processing unit is also used to use the heart rate of the rowing machine exercise and the rowing frequency corresponding to the heart rate to update the mapping relationship between the heart rate and the rowing frequency.

It is understandable that the paddle frequency recommendation device shown in the second aspect may be the paddle frequency recommendation device itself, or it may be a component (such as a chip, circuit, Module or unit).

In a third aspect, an embodiment of the present application also provides an electronic device, including a processor, a memory, and a transceiver, the memory is used to store instructions, the transceiver is used to communicate with other devices, and the processor is used to execute The instructions stored in the memory are used to make the electronic device execute the method for recommending the stroke frequency as described in any one of the possible implementations of the first aspect.

In a fourth aspect, an embodiment of the present application also provides a chip, the chip includes a programmable logic circuit and an input interface, the input interface is used to obtain the data to be processed, the logic circuit is used to execute the data to be processed The method for recommending the stroke frequency as described in any one of the possible implementations of the first aspect.

In a fifth aspect, an embodiment of the present application also provides a computer-readable storage medium that stores instructions in the computer-readable storage medium, and is characterized in that, when the instructions run on an electronic device, the electronic device The device executes the method for recommending the stroke frequency as described in any one of the possible implementation manners of the first aspect.

In a sixth aspect, the embodiments of the present application provide a computer program product, which when the computer program product is run on an electronic device, causes the electronic device to execute the method described in any one of the possible implementations of the first aspect. Recommended method of stroke frequency.

According to the method, device, and equipment for recommending the rowing frequency provided by the embodiments of the present application, after the terminal enters the rowing machine exercise mode in response to a user operation, it first determines the target exercise intensity corresponding to the rowing machine exercise according to the instruction information input by the user, and According to the mapping relationship between exercise intensity and heart rate, determine the target heart rate interval corresponding to the target exercise intensity; and then obtain the mapping relationship between heart rate and stroke frequency in advance, so that the relationship between heart rate and stroke frequency can be obtained in advance. The mapping relationship determines the target stroke frequency range corresponding to the target heart rate range, and recommends the target stroke frequency range to the user, so that the user can control his own stroke frequency according to the target stroke frequency range, thereby achieving a proper stroke The paddle frequency provides guidance for the user's rowing movement.

Description of the drawings

FIG. 1 is a schematic diagram of a possible application scenario provided by an embodiment of the application;

Figure 2 is a schematic diagram of another possible application scenario provided by an embodiment of the application;

FIG. 3 is a schematic structural diagram of a terminal provided by an embodiment of this application;

4 is a schematic flowchart of a method for recommending a paddle frequency according to an embodiment of the application;

FIG. 5 is a schematic diagram of starting a rowing machine mode according to an embodiment of the application;

FIG. 6 is a schematic diagram of determining a moving target according to an embodiment of the application;

FIG. 7 is another schematic diagram of determining a sports target provided by an embodiment of the application;

FIG. 8 is a schematic diagram showing a movement scheme corresponding to a movement target according to an embodiment of the application; FIG.

FIG. 9 is a schematic diagram of recommending the target paddle frequency range to a user according to an embodiment of the application;

FIG. 10 is another schematic diagram of recommending the target paddle frequency range to the user according to an embodiment of the application;

FIG. 11 is a schematic diagram of collecting user characteristic information according to an embodiment of this application;

FIG. 12 is another schematic diagram of recommending the target paddle frequency range to a user according to an embodiment of the application;

FIG. 13 is a schematic flowchart of another method for recommending a paddle frequency provided by an embodiment of the application;

FIG. 14 is a schematic diagram showing the user's real-time paddle frequency according to an embodiment of the application;

FIG. 15 is another schematic diagram showing the real-time paddle frequency of the user according to an embodiment of the application;

FIG. 16 is a schematic diagram showing the user's real-time paddling frequency and exercise results according to an embodiment of the application;

FIG. 17 is a schematic diagram of exiting the rowing machine mode according to an embodiment of the application;

FIG. 18 is a schematic diagram of displaying sports results provided by an embodiment of the application; FIG.

FIG. 19 is a schematic flowchart of a method for recommending a paddle frequency according to an embodiment of the application;

FIG. 20 is a schematic diagram of starting a rowing machine mode according to an embodiment of the application;

FIG. 21 is a schematic diagram of determining a sports target according to an embodiment of the application;

FIG. 22 is another schematic diagram of determining a sports target provided by an embodiment of the application;

FIG. 23 is a schematic diagram showing a sports scheme corresponding to a sports target according to an embodiment of the application;

FIG. 24 is a schematic diagram of recommending the target paddle frequency range to a user according to an embodiment of the application; FIG.

FIG. 25 is another schematic diagram of recommending the target paddle frequency interval to the user according to an embodiment of the application; FIG.

FIG. 26 is a schematic diagram of collecting user characteristic information according to an embodiment of this application;

FIG. 27 is another schematic diagram of recommending the target paddle frequency range to the user according to an embodiment of the application;

FIG. 28 is a schematic flowchart of another method for recommending a paddle frequency according to an embodiment of the application;

FIG. 29 is a schematic diagram showing the real-time paddle frequency of a user according to an embodiment of the application; FIG.

FIG. 30 is another schematic diagram showing the real-time paddle frequency of the user according to an embodiment of the application;

FIG. 31 is a schematic diagram showing the user's real-time paddle frequency and exercise results according to an embodiment of the application;

FIG. 32 is a schematic diagram of exiting the rowing machine mode according to an embodiment of the application;

FIG. 33 is a schematic diagram of displaying sports results provided by an embodiment of the application; FIG.

FIG. 34 is a schematic structural diagram of a device for recommending a paddle frequency provided by an embodiment of the application; FIG.

FIG. 35 is a schematic structural diagram of an electronic device provided by an embodiment of this application.

detailed description

The method for recommending the paddle frequency provided in the embodiments of the present application can be applied to a terminal with a display screen, where a terminal, also called a terminal device or a user equipment, is a device that provides voice and/or data connectivity to a user. Common terminal devices include, for example, mobile phones, tablet computers, notebook computers, handheld computers, mobile internet devices (MID), and wearable devices. Among them, wearable devices include, for example, smart watches, smart bracelets, and step counters.器等。

In the embodiments of the present application, "at least one" refers to one or more, and "multiple" refers to two or more. "And/or" describes the association relationship of the associated object, indicating that there can be three relationships, for example, A and/or B, which can mean: A alone exists, A and B exist at the same time, and B exists alone. A and B can be singular or plural. In the text description of this application, the character "/" generally indicates that the associated objects before and after are in an "or" relationship.

The recommended method of rowing frequency provided in the embodiments of this application can be applied to rowing sports. For example, the rowing sports can be rowing on real water equipment such as kayaks and dragon boats, or can be performed on rowing machines. Rowing sport. Taking a user rowing on a rowing machine as an example, see Figure 1. Figure 1 is a schematic diagram of a possible application scenario provided by an embodiment of this application. The recommendation system corresponding to this application scenario may include a terminal (such as a mobile phone) and Rowing machine, because the current mobile phone does not have a heart rate detection function, so when the terminal is a mobile phone, the application scenario can also include heart rate detection equipment, the heart rate detection equipment can be a smart watch, smart bracelet, etc., as long as it has a heart rate detection function Function. Among them, a Bluetooth connection can be established between the mobile phone and the heart rate detection device, and data transmission can be performed through the Bluetooth connection. At present, during the user's rowing machine exercise, the heart rate detection device worn on the user's wrist will send the current heart rate detected to the mobile phone, and display the current heart rate to the user through the mobile phone, so that the user can be based on the heart rate. Adjust the exercise intensity. However, the mobile phone cannot provide guidance on the user's rowing exercise based on the heart rate.

In order to provide guidance for the user’s rowing exercise, the applicant found that the main factor that affects the exercise intensity during the rowing exercise is the stroke frequency. The greater the stroke frequency, the greater the corresponding exercise intensity; the smaller the stroke frequency, the corresponding The lower the exercise intensity; therefore, the exercise intensity can be adjusted by adjusting the stroke frequency. After determining this relationship, it is not difficult to see that in order to adjust the exercise intensity according to the heart rate, you can try to establish the mapping relationship between the heart rate and the paddle frequency, so that after the user’s current heart rate is detected, the heart rate can be The mapping relationship between frequencies determines the rowing frequency corresponding to the current heart rate, and recommends the appropriate rowing frequency to the user, so as to provide guidance for the user's rowing exercise through the appropriate rowing frequency.

Based on the above concept, the embodiment of the present application provides a method for recommending the rowing frequency. After the terminal enters the rowing machine exercise mode in response to a user operation, it first determines the target exercise intensity corresponding to the rowing machine exercise according to the instruction information input by the user. , And according to the mapping relationship between exercise intensity and heart rate, determine the target heart rate interval corresponding to the target exercise intensity; then according to the mapping relationship between heart rate and stroke frequency, determine the target stroke frequency interval corresponding to the target heart rate interval; After determining the target stroke frequency range corresponding to the exercise intensity, the target stroke frequency range can be output to the user. It can be seen that, in the embodiment of the present application, by acquiring the mapping relationship between the heart rate and the stroke frequency, after the target exercise intensity corresponding to the user’s current rowing is determined according to the instruction information, the heart rate interval corresponding to the target exercise intensity can be determined. , And the mapping relationship between heart rate and stroke frequency, recommend the target stroke frequency range corresponding to the target heart rate range to the user, so that the user can control his own stroke frequency according to the target stroke frequency range, thus achieving a suitable The rowing frequency provides guidance for the user’s rowing exercise.

It should be noted that, in the embodiments of the present application, when determining the target heart rate interval corresponding to the target exercise intensity, the reason why the target heart rate interval is used to describe the heart rate range instead of a specific heart rate value is that: Although different exercise intensity, the corresponding heart rate is different. However, in most cases, even at the same exercise intensity, the corresponding heart rate may be affected by factors such as the user’s gender, age, or health status, so that the corresponding heart rate under the same exercise intensity is not exactly the same, but at one heart rate. The interval floats up and down. Therefore, in order to make the mapping relationship between exercise intensity and heart rate more reasonable, the heart rate corresponding to the target exercise intensity can be expanded into a heart rate interval, that is, expressed by the target heart rate interval. Of course, if the influence of these factors such as gender, age, or health status of the user is not considered, a specific heart rate value can also be used for description. Here, the embodiment of the present application only takes the heart rate interval as an example for illustration, but it does not represent the present application. The embodiment is only limited to this.

It is understandable that in the application scenario shown in Figure 1 above, for some rowing machines, if a heart rate detection film is provided on the handle of the rowing machine, which can be used to detect the heart rate of the user during exercise, the above shown in Figure 1 The recommendation system also does not need to include heart rate detection equipment. In this case, the rowing machine not only needs to detect the user's stroke frequency, but also needs to detect the user's heart rate during exercise, and send the detected heart rate to the mobile phone. It is still mainly used to determine the target paddle frequency interval corresponding to the target heart rate interval according to the target heart rate interval corresponding to the target exercise intensity and the mapping relationship between the heart rate and the stroke frequency; and output the target paddle frequency interval to the user. Combined with the application scenario shown in Figure 1, when the terminal is a wearable device, such as a smart watch or a smart bracelet, since the wearable device has a heart rate detection function, there is no need for an additional heart rate detection device. For an example, please refer to the figure As shown in Figure 2, Figure 2 is a schematic diagram of another possible application scenario provided by an embodiment of the application. The recommendation system corresponding to this application scenario may only include a wearable device and a rowing machine. Among them, the wearable device and the rowing machine can be Establish a Bluetooth connection and perform data transmission through the Bluetooth connection. In the scene shown in Figure 2, the rowing machine is mainly used to detect the user's stroke frequency, and the wearable device is mainly used to determine the target heart rate interval corresponding to the target exercise intensity and the mapping relationship between the heart rate and the stroke frequency. The target stroke frequency range corresponding to the target heart rate range; and recommend the target stroke frequency range to the user.

In this embodiment, the structure of the terminal can be referred to as shown in FIG. 3, which is a schematic diagram of the structure of a terminal provided in an embodiment of the application.

As shown in FIG. 3, the terminal 30 may include a processor 301, an external memory interface 302, an internal memory 303, a universal serial bus (USB) interface 304, a charging management module 305, a power management module 306, and a battery 307, Antenna 1, antenna 2, mobile communication module 308, wireless communication module 309, audio module 310, speaker 311, receiver 312, microphone 313, earphone jack 314, sensor module 315, button 316, motor 317, indicator 318, camera 319, A display screen 320, a subscriber identification module (SIM) card interface 321, and the like. The sensor module 315 may include a pressure sensor, a gyroscope sensor, an air pressure sensor, a magnetic sensor, an acceleration sensor, a distance sensor, a proximity light sensor, a fingerprint sensor, a temperature sensor, a touch sensor, an ambient light sensor, a bone conduction sensor, etc.

It can be understood that the structure illustrated in this embodiment does not constitute a specific limitation on the terminal 30. In other embodiments, the terminal 30 may include more or fewer components than shown, or combine certain components, or split certain components, or arrange different components. The illustrated components can be implemented in hardware, software, or a combination of software and hardware.

The processor 301 may include one or more processing units. For example, the processor 301 may include an application processor (AP), a modem processor, a graphics processing unit (GPU), and an image signal processor. (image signal processor, ISP), controller, video codec, digital signal processor (digital signal processor, DSP), baseband processor, and/or neural-network processing unit (NPU), etc. Among them, the different processing units may be independent devices or integrated in one or more processors. For example, in this application, the processor 301 may obtain current state information.

The controller may be the nerve center and command center of the terminal 30. The controller can generate operation control signals according to the instruction operation code and timing signals to complete the control of fetching and executing instructions.

A memory may also be provided in the processor 301 for storing instructions and data. In some embodiments, the memory in the processor 301 is a cache memory. The memory can store instructions or data that the processor 301 has just used or used cyclically. If the processor 301 needs to use the instruction or data again, it can be directly called from the memory. Repeated accesses are avoided, the waiting time of the processor 301 is reduced, and the efficiency of the system is improved.

In some embodiments, the processor 301 may include one or more interfaces. The interface can include an integrated circuit (inter-integrated circuit, I2C) interface, an integrated circuit built-in audio (inter-integrated circuit sound, I2S) interface, a pulse code modulation (pulse code modulation, PCM) interface, and a universal asynchronous transmitter (universal asynchronous transmitter) interface. receiver/transmitter, UART) interface, mobile industry processor interface (MIPI), general-purpose input/output (GPIO) interface, subscriber identity module (SIM) interface, and / Or Universal Serial Bus (USB) interface, etc.

The I2C interface is a bidirectional synchronous serial bus, which includes a serial data line (SDA) and a serial clock line (SCL). In some embodiments, the processor 301 may include multiple sets of I2C buses. The processor 301 may couple the touch sensor, the charger, the flash, the camera 319, etc., respectively through different I2C bus interfaces. For example, the processor 301 may couple the touch sensor through an I2C interface, so that the processor 301 communicates with the touch sensor through the I2C bus interface, so as to realize the touch function of the terminal 30.

The I2S interface can be used for audio communication. In some embodiments, the processor 301 may include multiple sets of I2S buses. The processor 301 may be coupled with the audio module 310 through an I2S bus to implement communication between the processor 301 and the audio module 310. In some embodiments, the audio module 310 may transmit audio signals to the wireless communication module 309 through an I2S interface, so as to realize the function of answering calls through a Bluetooth headset.

The PCM interface can also be used for audio communication to sample, quantize and encode analog signals. In some embodiments, the audio module 310 and the wireless communication module 309 may be coupled through a PCM bus interface. In some embodiments, the audio module 310 may also transmit audio signals to the wireless communication module 309 through the PCM interface, so as to realize the function of answering calls through the Bluetooth headset. Both the I2S interface and the PCM interface can be used for audio communication.

The UART interface is a universal serial data bus used for asynchronous communication. The bus can be a two-way communication bus. It converts the data to be transmitted between serial communication and parallel communication. In some embodiments, the UART interface is usually used to connect the processor 301 and the wireless communication module 309. For example, the processor 301 communicates with the Bluetooth module in the wireless communication module 309 through the UART interface to realize the Bluetooth function. In some embodiments, the audio module 310 may transmit audio signals to the wireless communication module 309 through a UART interface, so as to realize the function of playing music through a Bluetooth headset.

The MIPI interface can be used to connect the processor 301 with the display screen 320, the camera 319 and other peripheral devices. The MIPI interface includes camera serial interface (camera serial interface, CSI), display serial interface (display serial interface, DSI), etc. In some embodiments, the processor 301 and the camera 319 communicate through a CSI interface to implement the shooting function of the terminal 30. The processor 301 and the display screen 320 communicate through a DSI interface to realize the display function of the terminal 30.

The GPIO interface can be configured through software. The GPIO interface can be configured as a control signal or as a data signal. In some embodiments, the GPIO interface can be used to connect the processor 301 with the camera 319, the display screen 320, the wireless communication module 309, the audio module 310, the sensor module 315, and so on. GPIO interface can also be configured as I2C interface, I2S interface, UART interface, MIPI interface and so on.

The USB interface 304 is an interface that complies with the USB standard specification, and specifically may be a Mini USB interface, a Micro USB interface, a USB Type C interface, and so on. The USB interface 304 can be used to connect a charger to charge the terminal 30, and can also be used to transfer data between the terminal 30 and peripheral devices. It can also be used to connect earphones and play audio through earphones. This interface can also be used to connect to other terminals, such as AR devices.

It can be understood that the interface connection relationship between the modules illustrated in this embodiment is merely a schematic description, and does not constitute a structural limitation of the terminal 30. In other embodiments of the present application, the terminal 30 may also adopt different interface connection modes in the foregoing embodiments, or a combination of multiple interface connection modes.

The charging management module 305 is used to receive charging input from the charger. Among them, the charger can be a wireless charger or a wired charger. In some wired charging embodiments, the charging management module 305 may receive the charging input of the wired charger through the USB interface 304. In some wireless charging embodiments, the charging management module 305 may receive the wireless charging input through the wireless charging coil of the terminal 30. While the charging management module 305 charges the battery 307, it can also supply power to the terminal through the power management module 306.

The power management module 306 is used to connect the battery 307, the charging management module 305 and the processor 301. The power management module 306 receives input from the battery 307 and/or the charge management module 305, and supplies power to the processor 301, the internal memory 303, the display screen 320, the camera 319, and the wireless communication module 309. The power management module 306 can also be used to monitor parameters such as battery capacity, battery cycle times, and battery health status (leakage, impedance). In some other embodiments, the power management module 306 may also be provided in the processor 301. In other embodiments, the power management module 306 and the charging management module 305 may also be provided in the same device.

The wireless communication function of the terminal 30 can be realized by the antenna 1, the antenna 2, the mobile communication module 308, the wireless communication module 309, the modem processor, and the baseband processor.

The antenna 1 and the antenna 2 are used to transmit and receive electromagnetic wave signals. Each antenna in the terminal 30 can be used to cover a single or multiple communication frequency bands. Different antennas can also be reused to improve antenna utilization. For example, antenna 1 can be multiplexed as a diversity antenna of a wireless local area network. In other embodiments, the antenna can be used in combination with a tuning switch.

The mobile communication module 308 can provide wireless communication solutions including 2G/3G/4G/5G, etc., which are applied to the terminal 30. The mobile communication module 308 may include at least one filter, a switch, a power amplifier, a low noise amplifier (LNA), and the like. The mobile communication module 308 can receive electromagnetic waves from the antenna 1, and perform processing such as filtering and amplifying the received electromagnetic waves, and then transmitting them to the modem processor for demodulation. The mobile communication module 308 can also amplify the signal modulated by the modem processor, and convert it into electromagnetic wave radiation via the antenna 1. In some embodiments, at least part of the functional modules of the mobile communication module 308 may be provided in the processor 301. In some embodiments, at least part of the functional modules of the mobile communication module 308 and at least part of the modules of the processor 301 may be provided in the same device.

The modem processor may include a modulator and a demodulator. Among them, the modulator is used to modulate the low frequency baseband signal to be sent into a medium and high frequency signal. The demodulator is used to demodulate the received electromagnetic wave signal into a low-frequency baseband signal. The demodulator then transmits the demodulated low-frequency baseband signal to the baseband processor for processing. The low-frequency baseband signal is processed by the baseband processor and then passed to the application processor. The application processor outputs a sound signal through an audio device (not limited to the speaker 311, the receiver 312, etc.), or displays an image or video through the display screen 320. In some embodiments, the modem processor may be an independent device. In other embodiments, the modem processor may be independent of the processor 301 and be provided in the same device as the mobile communication module 308 or other functional modules.

The wireless communication module 309 can provide applications on the terminal 30 including wireless local area networks (WLAN) (such as wireless fidelity (Wi-Fi) networks), bluetooth (BT), and global navigation satellite systems. (global navigation satellite system, GNSS), frequency modulation (frequency modulation, FM), near field communication technology (near field communication, NFC), infrared technology (infrared, IR) and other wireless communication solutions. The wireless communication module 309 may be one or more devices integrating at least one communication processing module. The wireless communication module 309 receives electromagnetic waves via the antenna 2, frequency modulates and filters the electromagnetic wave signals, and sends the processed signals to the processor 301. The wireless communication module 309 can also receive the signal to be sent from the processor 301, perform frequency modulation, amplify it, and convert it into electromagnetic waves and radiate it through the antenna 2.

In some embodiments, the antenna 1 of the terminal 30 is coupled with the mobile communication module 308, and the antenna 2 is coupled with the wireless communication module 309, so that the terminal 30 can communicate with the network and other devices through wireless communication technology. The wireless communication technology may include global system for mobile communications (GSM), general packet radio service (GPRS), code division multiple access (CDMA), broadband Code division multiple access (wideband code division multiple access, WCDMA), time-division code division multiple access (time-division code division multiple access, TD-SCDMA), long term evolution (LTE), BT, GNSS, WLAN, NFC , FM, and/or IR technology, etc. The GNSS may include the global positioning system (GPS), the global navigation satellite system (GLONASS), the Beidou navigation satellite system (BDS), and the quasi-zenith satellite system (quasi). -zenith satellite system, QZSS) and/or satellite-based augmentation systems (SBAS).

The terminal 30 implements a display function through a GPU, a display screen 320, and an application processor. The GPU is a microprocessor for image processing, connected to the display screen 320 and the application processor. The GPU is used to perform mathematical and geometric calculations and is used for graphics rendering. The processor 301 may include one or more GPUs that execute program instructions to generate or change display information.

The display screen 320 is used to display images, videos, and the like. The display screen 320 includes a display panel. The display panel can adopt liquid crystal display (LCD), organic light-emitting diode (OLED), active-matrix organic light-emitting diode or active-matrix organic light-emitting diode (active-matrix organic light-emitting diode). AMOLED, flexible light-emitting diode (FLED), Miniled, MicroLed, Micro-oled, quantum dot light-emitting diode (QLED), etc. In some embodiments, the terminal 30 may include one or N display screens 320, and N is a positive integer greater than one.

A series of graphical user interfaces (GUIs) can be displayed on the display screen 320 of the terminal 30, and these GUIs are the main screens of the terminal 30. Generally speaking, the size of the display screen 320 of the terminal 30 is fixed, and only limited controls can be displayed on the display screen 320 of the terminal 30. Control is a kind of GUI element, it is a kind of software component, contained in the application, and controls all the data processed by the application and the interactive operations on these data. The user can interact with the control through direct manipulation. , So as to read or edit the relevant information of the application. Generally speaking, controls may include visual interface elements such as icons, buttons, menus, tabs, text boxes, dialog boxes, status bars, navigation bars, and Widgets. For example, in the embodiment of the present application, the display screen 320 may display virtual keys (one-key arrangement, start arrangement, stop arrangement).

The terminal 30 can implement shooting functions through an ISP, a camera 319, a video codec, a GPU, a display screen 320, and an application processor.

The ISP is used to process the data fed back by the camera 319. For example, when taking a picture, the shutter is opened, the light is transmitted to the photosensitive element of the camera through the lens, the light signal is converted into an electrical signal, and the photosensitive element of the camera transmits the electrical signal to the ISP for processing and transforms it into an image visible to the naked eye. ISP can also optimize the image noise, brightness, and skin color. ISP can also optimize the exposure, color temperature and other parameters of the shooting scene. In some embodiments, the ISP may be provided in the camera 319.

The camera 319 is used to capture still images or videos. The object generates an optical image through the lens and is projected to the photosensitive element. The photosensitive element may be a charge coupled device (CCD) or a complementary metal-oxide-semiconductor (CMOS) phototransistor. The photosensitive element converts the optical signal into an electrical signal, and then transfers the electrical signal to the ISP to convert it into a digital image signal. ISP outputs digital image signals to DSP for processing. DSP converts digital image signals into standard RGB, YUV and other formats of image signals. In some embodiments, the terminal 30 may include 1 or N cameras 319, and N is a positive integer greater than 1.

Digital signal processors are used to process digital signals. In addition to digital image signals, they can also process other digital signals. For example, when the terminal 30 selects a frequency point, the digital signal processor is used to perform Fourier transform on the energy of the frequency point.

Video codecs are used to compress or decompress digital video. The terminal 30 may support one or more video codecs. In this way, the terminal 30 can play or record videos in multiple encoding formats, such as: moving picture experts group (MPEG) 1, MPEG2, MPEG3, MPEG4, and so on.

NPU is a neural-network (NN) computing processor. By drawing on the structure of biological neural networks, for example, the transfer mode between human brain neurons, it can quickly process input information, and it can also continuously self-learn. Through the NPU, applications such as intelligent cognition of the terminal 30 can be realized, such as image recognition, face recognition, voice recognition, text understanding, and so on.

The external memory interface 302 may be used to connect an external memory card, such as a Micro SD card, to expand the storage capacity of the terminal 30. The external memory card communicates with the processor 301 through the external memory interface 302 to realize the data storage function. For example, save music, video and other files in an external memory card.

The internal memory 303 may be used to store computer executable program code, where the executable program code includes instructions. The processor 301 executes various functional applications and data processing of the terminal 30 by running instructions stored in the internal memory 303. For example, in this embodiment, the processor 301 may perform scene arrangement by executing instructions stored in the internal memory 303. The internal memory 303 may include a program storage area and a data storage area. Among them, the storage program area can store an operating system, at least one application program (such as a sound playback function, an image playback function, etc.) required by at least one function. The data storage area can store data (such as audio data, phone book, etc.) created during the use of the terminal 30. In addition, the internal memory 303 may include a high-speed random access memory, and may also include a non-volatile memory, such as at least one magnetic disk storage device, a flash memory device, a universal flash storage (UFS), and the like. The processor 301 executes various functional applications and data processing of the terminal 30 by running instructions stored in the internal memory 303 and/or instructions stored in a memory provided in the processor.

The terminal 30 can implement audio functions through the audio module 310, the speaker 311, the receiver 312, the microphone 313, the earphone interface 314, and the application processor. For example, music playback, recording, etc.

The audio module 310 is used to convert digital audio information into an analog audio signal for output, and is also used to convert an analog audio input into a digital audio signal. The audio module 310 can also be used to encode and decode audio signals. In some embodiments, the audio module 310 may be provided in the processor 301, or part of the functional modules of the audio module 310 may be provided in the processor 301.

The speaker 311, also called a "speaker", is used to convert audio electrical signals into sound signals. The terminal 30 can listen to music through the speaker 311, or listen to a hands-free call.

The receiver 312, also called "earpiece", is used to convert audio electrical signals into sound signals. When the terminal 30 answers a call or voice message, it can receive the voice by bringing the receiver 312 close to the human ear.

The microphone 313, also called "microphone" or "microphone", is used to convert sound signals into electrical signals. When making a call or sending a voice message, the user can approach the microphone 313 through the mouth to make a sound, and input the sound signal to the microphone 313. The terminal 30 may be provided with at least one microphone 313. In other embodiments, the terminal 30 may be provided with two microphones 313, which can implement noise reduction functions in addition to collecting sound signals. In other embodiments, the terminal 30 may also be provided with three, four or more microphones 313 to collect sound signals, reduce noise, identify sound sources, and realize directional recording functions.

The earphone interface 314 is used to connect wired earphones. The earphone interface 314 may be a USB interface 304, or a 3.5mm open mobile terminal platform (OMTP) standard interface, or a cellular telecommunications industry association of the USA (CTIA) standard interface.

The pressure sensor is used to sense the pressure signal and can convert the pressure signal into an electrical signal. In some embodiments, the pressure sensor may be provided on the display screen 320. There are many types of pressure sensors, such as resistive pressure sensors, inductive pressure sensors, capacitive pressure sensors and so on. The capacitive pressure sensor may include at least two parallel plates with conductive materials. When a force is applied to the pressure sensor, the capacitance between the electrodes changes. The terminal 30 determines the strength of the pressure according to the change in capacitance. When a touch operation acts on the display screen 320, the terminal 30 detects the intensity of the touch operation according to the pressure sensor. The terminal 30 may also calculate the touched position based on the detection signal of the pressure sensor. In some embodiments, touch operations that act on the same touch position but have different touch operation intensities can correspond to different operation instructions. For example: when a touch operation whose intensity is less than the first pressure threshold is applied to the short message application icon, an instruction to view the short message is executed. When a touch operation with a touch operation intensity greater than or equal to the first pressure threshold acts on the short message application icon, an instruction to create a new short message is executed.

The gyroscope sensor can be used to determine the movement posture of the terminal 30. In some embodiments, the angular velocity of the terminal 30 around three axes (ie, x, y, and z axes) can be determined by a gyroscope sensor. The gyroscope sensor can be used for shooting anti-shake. Exemplarily, when the shutter is pressed, the gyroscope sensor detects the shake angle of the terminal 30, and calculates the distance that the lens module needs to compensate according to the angle, so that the lens can counteract the shake of the terminal 30 through a reverse movement to achieve anti-shake. The gyroscope sensor can also be used for navigation and somatosensory game scenes.

The air pressure sensor is used to measure air pressure. In some embodiments, the terminal 30 calculates the altitude based on the air pressure value measured by the air pressure sensor to assist positioning and navigation.

The magnetic sensor includes a Hall sensor. The terminal 30 may use a magnetic sensor to detect the opening and closing of the flip cover. In some embodiments, when the terminal 30 is a flip machine, the terminal 30 can detect the opening and closing of the flip according to the magnetic sensor. Then, according to the detected opening and closing state of the leather case or the opening and closing state of the flip cover, features such as automatic unlocking of the flip cover are set.

The acceleration sensor can detect the magnitude of the acceleration of the terminal 30 in various directions (generally three axes). When the terminal 30 is stationary, the magnitude and direction of gravity can be detected. It can also be used to identify the terminal posture, apply to horizontal and vertical screen switching, pedometer and other applications.

Distance sensor, used to measure distance. The terminal 30 can measure the distance by infrared or laser. In some embodiments, when shooting a scene, the terminal 30 may use a distance sensor to measure the distance to achieve fast focusing.

The proximity light sensor may include, for example, a light emitting diode (LED) and a light detector, such as a photodiode. The light emitting diode may be an infrared light emitting diode. The terminal 30 emits infrared light to the outside through the light emitting diode. The terminal 30 uses a photodiode to detect infrared reflected light from nearby objects. When sufficient reflected light is detected, it can be determined that there is an object near the terminal 30. When insufficient reflected light is detected, the terminal 30 can determine that there is no object near the terminal 30. The terminal 30 can use the proximity light sensor to detect that the user holds the terminal 30 close to the ear to talk, so as to automatically turn off the screen to save power. The proximity light sensor can also be used in the leather case mode, and the pocket mode automatically unlocks and locks the screen.

The ambient light sensor is used to sense the brightness of the ambient light. The terminal 30 can adaptively adjust the brightness of the display screen 320 according to the perceived brightness of the ambient light. The ambient light sensor can also be used to automatically adjust the white balance when taking pictures. The ambient light sensor can also cooperate with the proximity light sensor to detect whether the terminal 30 is in the pocket to prevent accidental touch.

The fingerprint sensor is used to collect fingerprints. The terminal 30 can use the collected fingerprint characteristics to realize fingerprint unlocking, access application locks, fingerprint photographs, fingerprint answering calls, and so on.

The temperature sensor is used to detect temperature. In some embodiments, the terminal 30 uses the temperature detected by the temperature sensor to execute the temperature processing strategy. For example, when the temperature reported by the temperature sensor exceeds a threshold, the terminal 30 performs a reduction in the performance of a processor located near the temperature sensor, so as to reduce power consumption and implement thermal protection. In other embodiments, when the temperature is lower than another threshold, the terminal 30 heats the battery 307 to prevent the terminal 30 from shutting down abnormally due to low temperature. In some other embodiments, when the temperature is lower than another threshold, the terminal 30 boosts the output voltage of the battery 307 to avoid abnormal shutdown caused by low temperature.

Touch sensor, also called "touch device". The touch sensor may be arranged on the display screen 320, and the touch screen is composed of the touch sensor and the display screen 320, which is also called a “touch screen”. The touch sensor is used to detect touch operations acting on or near it. The touch sensor can pass the detected touch operation to the application processor to determine the type of touch event. The visual output related to the touch operation can be provided through the display screen 320. In other embodiments, the touch sensor may also be disposed on the surface of the terminal 30, which is different from the position of the display screen 320.

Bone conduction sensors can acquire vibration signals. In some embodiments, the bone conduction sensor can obtain the vibration signal of the vibrating bone mass of the human voice. The bone conduction sensor can also contact the human pulse and receive the blood pressure pulse signal. In some embodiments, the bone conduction sensor may also be provided in the earphone, combined with the bone conduction earphone. The audio module 310 can parse the voice signal based on the vibration signal of the vibrating bone block of the voice obtained by the bone conduction sensor to realize the voice function. The application processor may analyze the heart rate information based on the blood pressure beating signal obtained by the bone conduction sensor, and realize the heart rate detection function.

The button 316 includes a power button, a volume button, and so on. The button 316 may be a mechanical button. It can also be a touch button. The terminal 30 can receive key input, and generate key signal input related to user settings and function control of the terminal 30.

The motor 317 can generate vibration prompts. The motor 317 can be used for incoming call vibration notification, and can also be used for touch vibration feedback. For example, touch operations that act on different applications (such as taking pictures, audio playback, etc.) can correspond to different vibration feedback effects. Acting on touch operations in different areas of the display screen 320, the motor 317 can also correspond to different vibration feedback effects. Different application scenarios (for example: time reminding, receiving information, alarm clock, games, etc.) can also correspond to different vibration feedback effects. The touch vibration feedback effect can also support customization.

The indicator 318 may be an indicator light, which may be used to indicate the charging status, power change, or to indicate messages, missed calls, notifications, and so on.

The SIM card interface 321 is used to connect to the SIM card. The SIM card can be inserted into the SIM card interface 321 or pulled out from the SIM card interface 321 to achieve contact and separation with the terminal 30. The terminal 30 may support 1 or N SIM card interfaces, and N is a positive integer greater than 1. The SIM card interface 321 can support Nano SIM cards, Micro SIM cards, SIM cards, and so on. The same SIM card interface 321 can insert multiple cards at the same time. The types of the multiple cards can be the same or different. The SIM card interface 321 can also be compatible with different types of SIM cards. The SIM card interface 321 may also be compatible with external memory cards. The terminal 30 interacts with the network through the SIM card to implement functions such as call and data communication. In some embodiments, the terminal 30 adopts an eSIM, that is, an embedded SIM card. The eSIM card can be embedded in the terminal 30 and cannot be separated from the terminal 30.

In the following, the technical solution of the method for recommending the paddle frequency provided by the present application will be described in detail in combination with the two different application scenarios shown in FIG. 1 and FIG. 2. It can be understood that the following specific embodiments can be combined with each other, and the same or similar concepts or processes may not be repeated in some embodiments.

In a possible application scenario, as shown in Figure 1 above, when the terminal is a mobile phone, as an example, please refer to Figure 4. Figure 4 is a method for recommending a paddle frequency provided by an embodiment of the application. Schematic diagram of the process, the recommended method for the stroke frequency can include:

S401. In response to the user's first operation, the mobile phone activates the rowing machine mode.

For example, when the rowing machine mode is activated, at least two possible implementation manners may be included, in one possible implementation manner. As shown in FIG. 5, FIG. 5 is a schematic diagram of starting the rowing machine mode according to an embodiment of the present application. The user can unlock the screen of the mobile phone by tapping. After the screen is unlocked, the mobile phone displays the function list to the user on the screen. For example, compass, weather, sports health, music, etc., the user can click the sports health button, and the mobile phone displays a list of sports in sports health to the user through the screen. The sports list can include running items such as swimming, running, rowing machine, and barbell. The user can select the rowing machine in the list of sports items, and the mobile phone activates the rowing machine mode in response to the first operation of the user manually clicking the rowing machine. It can be seen that in this possible implementation mode, when starting the rowing machine mode, the user manually starts the rowing machine mode. Although this method needs to be manually triggered by the user, the rowing machine mode can be effectively avoided by using this method to start the rowing machine mode. If the machine mode is turned on by mistake, the accuracy of starting the rowing machine mode is improved.

It should be noted that when the user performs a selection operation on the mobile phone screen, the selection operation can be performed on the mobile phone screen by tapping and touching, or the selection operation can be performed on the mobile phone screen by sliding and touching, or even through The air control mode is selected on the screen of the mobile phone, which can be set according to actual needs. In the subsequent description, the description is continued by taking the selection operation performed on the screen of the mobile phone by clicking as an example, but it does not mean that the embodiment of the present application is limited to this.

In another possible implementation, different from the above-mentioned user manually starting the rowing machine mode, the mobile phone can automatically start the rowing machine mode, which may include at least three possible implementation solutions. In one possible implementation solution, because The rowing machine movement is a movement of swinging back and forth. Therefore, when the sensor in the mobile phone detects that it is swinging back and forth, indicating that the user may be currently using the rowing machine for exercise, the mobile phone automatically activates the rowing machine mode. In another possible implementation scheme, the mobile phone can judge the distance between it and the rowing machine based on the Bluetooth signal strength. The greater the distance, the weaker the Bluetooth signal strength, and the smaller the distance, the stronger the Bluetooth signal strength. When the signal strength determines that the distance between the remaining rowing machines is less than the preset area, it means that the user may currently want to use the rowing machine to exercise, and the mobile phone automatically activates the rowing machine mode. In this possible way, because the user may just pass by the rowing machine instead of using the rowing machine, the rowing machine mode will be turned on by mistake. Therefore, in order to reduce the situation that the rowing machine mode is turned on by mistake, it can also be combined with the top of the mobile phone. The orientation of (the head of the mobile phone), such as the angle of arrival, when the direction of the head of the mobile phone points to the rowing machine, the rowing mode is automatically activated, which can reduce the situation that the rowing machine mode is turned on by mistake, and can improve the rowing machine to a certain extent Accuracy of mode activation. It can be seen that in this possible implementation mode, the mobile phone automatically starts the rowing machine mode, and the startup process does not require manual operation by the user. Although the rowing machine mode may be turned on by mistake in this way, it is the same as the above-mentioned user to manually start the rowing machine. Mode, can reduce user manual operation, improve user experience.

It is understandable that, in the embodiment of this application, when starting the rowing machine mode, only the above two possible implementation modes are used as examples for description, which can be set according to actual needs. The rowing machine mode is not further limited in the embodiment of this application.

S402: After entering the rowing machine mode, determine the target exercise intensity corresponding to this rowing machine exercise according to the instruction information.

Among them, the instruction information is input by the user.

For example, the instruction information can be a sports goal. Since different sports goals have different exercise intensities, the target exercise intensity corresponding to this rowing machine exercise can also be determined according to the sports goal; of course, the instruction information can also be directly this time. The target exercise intensity corresponding to the rowing machine exercise can be specifically set according to actual needs. Here, the embodiment of the present application is only described by taking the indication information as the movement target as an example, but it does not mean that the embodiment of the present application is limited to this. For example, the exercise goal may be any of the five exercise goals of relaxation, fat loss and weight loss, cardiopulmonary capacity improvement, muscle gain, and athletic performance improvement, which can be specifically set according to actual needs. Here, the embodiment of the present application It is just taken as an example that the exercise goal can be any one of the five exercise goals of relaxation, fat loss, weight loss, cardiopulmonary ability, muscle gain, and sports performance improvement, but it does not mean that the embodiments of the present application are limited to this. .

Before determining the target exercise intensity corresponding to this rowing machine exercise according to the exercise goal, the exercise goal selected by the user needs to be determined first, which may include at least two possible implementation manners. In a possible implementation manner, in conjunction with the above figure 5, after the mobile phone activates the rowing machine mode, the screen shows the user a list of corresponding sports targets in the rowing machine mode. For an example, please refer to Figure 6. 6 is a schematic diagram of determining sports goals provided by this embodiment of the application. The sports goal list can include five sports goals: relaxation, fat loss, weight loss, cardiorespiratory performance, muscle gain, and sports performance. List the sports goals you want to achieve in this rowing machine exercise. Assuming that the sports goal that the user wants to achieve in this rowing machine exercise is fat loss and weight loss, the user can manually click the fat loss and weight loss button, and the mobile phone detects that the user manually clicks After the fat loss and weight loss operation, it can be determined that the exercise goal selected by the user is fat loss and weight loss.

In a possible implementation manner, in conjunction with the above-mentioned Figure 5, after the mobile phone starts the rowing machine mode, it does not need to display a list of sports goals to the user through the screen as shown in Figure 5 for the user to choose from, but directly The user recommends a sport goal suitable for the user. When recommending an exercise goal suitable for the user to the user, the exercise goal suitable for the user can be determined according to the health data input by the user or the collected user historical health data, and then the exercise goal is recommended to the user. For an example, see Figure 7 As shown, FIG. 7 is another schematic diagram of determining a sports goal provided by an embodiment of the application. Assuming that the sports goal suitable for the user is determined to lose fat and weight according to the health data input by the user or the collected user historical health data, then Recommend the fat and weight loss goal to the user, for example, do you choose a muscle gain goal? If the user chooses Yes, it is determined that the exercise goal selected by the user is fat loss and weight loss. If the user chooses No, then in conjunction with the above figure 6, the screen shows the user a list of exercise goals corresponding to the rowing machine exercise. The list can include five sports goals: relaxation, fat loss and weight loss, cardiopulmonary ability, muscle gain, and sports performance. The user can list the sports goals he wants to achieve in this rowing machine exercise. Suppose the user is rowing machine this time The exercise goal you want to achieve is fat loss and weight loss. The user can manually click the fat loss and weight loss button. After the mobile phone detects that the user has manually clicked the fat loss and weight loss operation, it can determine that the user’s selected exercise goal is fat loss and weight loss. Heavy. It is understandable that, when determining the sport goal selected by the user, the embodiment of the present application only uses the foregoing two possible implementation manners as examples for illustration, but it does not mean that the embodiment of the present application is limited to these.

Since different sports goals correspond to different exercise programs, and different sports programs have their own exercise intensity, after determining the sports goal selected by the user, the target sports program corresponding to the sports goal selected by the user can be determined. The exercise intensity corresponding to the exercise program is the target exercise intensity. For example, when determining the target exercise program corresponding to the exercise target selected by the user, the following at least three possible implementation manners may be included. In a possible implementation manner, the mobile phone is provided with a mapping relationship between the sports goal and the exercise program, so that after the sports goal selected by the user is determined, the mapping relationship between the set sports goal and the exercise program can be directly determined. Determine the target exercise program corresponding to the exercise target selected by the user. For example, when the exercise goal selected by the user is relaxation, the corresponding exercise program is lower intensity exercise for 30-60 minutes; when the exercise goal selected by the user is to lose fat and weight, the corresponding exercise program is warm up first and low intensity Exercise for 30-60 minutes, and then slowly end; when the exercise goal selected by the user is to improve cardiopulmonary ability, the corresponding exercise plan is to warm up and exercise at medium intensity for 30-60 minutes, and then slowly end; when the exercise goal selected by the user is increased For muscles, the corresponding exercise program is warm-up first, low-intensity exercise for 2 minutes, high-intensity exercise for 5 minutes, low-intensity exercise for 1 minute, high-intensity exercise for 5 minutes, low-intensity exercise for 1 minute, high-intensity exercise for 5 minutes, and low-intensity exercise. 1 minute, high-intensity exercise for 5 minutes, low-intensity exercise for 1 minute, and then slowly end; when the user selects the exercise goal to improve sports performance, the corresponding exercise program is warm-up first, low-intensity exercise for 2 minutes, and ultra-high-intensity exercise5 Minutes, 1 minute of low-intensity exercise, 5 minutes of ultra-high-intensity exercise, 1 minute of low-intensity exercise, 5 minutes of ultra-high-intensity exercise, 1 minute of low-intensity exercise, 5 minutes of ultra-high-intensity exercise, 1 minute of low-intensity exercise, and then slowly finish . It can be seen that the exercise intensity corresponding to the above different exercise programs is different. In another possible implementation, the mobile phone does not need to set the mapping relationship between the sports goal and the sports plan. Instead, after determining the sports goal selected by the user, the mobile phone obtains the sports plan corresponding to the sports goal from the server to determine The target exercise program corresponding to the exercise target selected by the user. In yet another possible implementation manner, in order to make the determined exercise program more reasonable and more in line with the user’s current situation, an exercise program request may be sent to a professional medical institution or training institution, and the exercise program request may include the user’s health. The data and the user’s exercise goal are used to determine the target exercise program corresponding to the user’s selected exercise goal through a professional medical institution or training institution, and receive the returned target exercise program from the professional medical institution or training institution to determine the user’s choice The target sports program corresponding to the sports goal. It should be noted that, in the embodiments of the present application, when determining the target exercise program corresponding to the exercise goal selected by the user, the embodiments of the present application only take the above three possible implementation methods as examples for description, but do not represent the present application. The embodiment is only limited to this.

After determining the target exercise program corresponding to the exercise target selected by the user, since different exercise programs correspond to their respective exercise intensities, once the target exercise program is selected, the corresponding target exercise intensity is also determined. The target exercise program The corresponding exercise intensity is the target exercise intensity. In addition, the target exercise program can also be displayed to the user. For example, please refer to FIG. 8. FIG. 8 is a schematic diagram showing an exercise program corresponding to a sports goal provided by an embodiment of the application. When the target exercise program selected by the user is fat loss and weight loss, the goal displayed to the user The exercise program is to warm up and exercise at low intensity for 30-60 minutes, and then slowly end. Under this kind of target exercise program, the corresponding target intensity is low-intensity exercise for 30-60 minutes.

It is understandable that when determining the target exercise intensity according to the exercise goal, the embodiment of the present application only uses the exercise plan as an intermediary to reflect the association between the exercise goal and the target exercise intensity as an example for description, but it does not represent the embodiment of the present application. Only limited to this. Of course, it is also possible to directly determine the target exercise intensity according to the exercise goal without embodying the concept of the exercise plan. For example, when the exercise goal selected by the user is relaxation, the corresponding target exercise intensity is lower intensity exercise for 30-60 minutes; when the exercise goal selected by the user is to lose fat and weight, the corresponding target exercise intensity is warm-up first, low-intensity exercise Intensive exercise for 30-60 minutes, and then slowly ends, etc.; when the exercise goal selected by the user is to improve cardiopulmonary ability, the corresponding target exercise intensity is warm-up, medium-intensity exercise for 30-60 minutes, and then slowly end.

S403: Determine a target heart rate interval corresponding to the target exercise intensity according to the mapping relationship between the exercise intensity and the heart rate.

As described above, when determining the target heart rate interval corresponding to the target exercise intensity, the reason why the target heart rate interval is used to describe the heart rate range instead of a specific heart rate value is that: Although under different exercise intensities , The corresponding heart rate is different. However, in most cases, even at the same exercise intensity, the corresponding heart rate may be affected by factors such as the user’s gender, age, or health status, so that the corresponding heart rate under the same exercise intensity is not exactly the same, but at one heart rate. The interval floats up and down. Therefore, in order to make the mapping relationship between exercise intensity and heart rate more reasonable, the heart rate corresponding to the target exercise intensity can be expanded into a heart rate interval, that is, expressed by the target heart rate interval. Of course, if the influence of these factors such as gender, age, or health status of the user is not considered, a specific heart rate value can also be used for description. Here, the embodiment of the present application only takes the heart rate interval as an example for illustration, but it does not represent the present application. The embodiment is only limited to this.

It is understandable that before determining the target heart rate interval corresponding to the target exercise intensity according to the mapping relationship between exercise intensity and heart rate, the mapping relationship between the exercise intensity and heart rate needs to be acquired first. For example, the target heart rate interval corresponding to lower exercise intensity can be [50%-60%], the target heart rate interval corresponding to low exercise intensity can be [60%-70%], and the target heart rate interval corresponding to medium exercise intensity can be [70%-80%], the target heart rate interval corresponding to high exercise intensity can be [80%-90%], and the target heart rate interval corresponding to ultra-high exercise intensity can be [90%-100%].

In order to provide guidance for the user's rowing exercise through the appropriate paddle frequency, in the embodiment of the present application, it is precisely because the mapping relationship between the heart rate and the paddle frequency is obtained in advance, so that the target heart rate interval corresponding to the target exercise intensity is determined Then, the target stroke frequency interval corresponding to the target heart rate interval can be determined directly according to the mapping relationship between the heart rate and the stroke frequency, that is, the following S404 is executed:

S404: According to the mapping relationship between the heart rate and the stroke frequency, determine the target stroke frequency interval corresponding to the target heart rate interval.

For example, the mapping relationship between heart rate and stroke frequency can be expressed by the correlation model between heart rate and stroke frequency shown in the following formula 1:

Among them, HR in formula 1 represents the target stroke frequency, PF represents the heart rate of the user when the boat is rowing, n represents the polynomial order, a represents the coefficient, and 1≤i≤n.

It is understandable that the target stroke frequency interval corresponding to the target heart rate interval is determined according to the mapping relationship between the heart rate and the stroke frequency, because the heart rate is expressed by the target heart rate interval, and different heart rates correspond to different stroke frequencies. Therefore, the target stroke frequency obtained based on the heart rate interval is also expressed in the target stroke frequency interval.

Before determining the target stroke frequency interval corresponding to the target heart rate interval according to the mapping relationship between the heart rate and the stroke frequency, the mapping relationship between the heart rate and the stroke frequency can be obtained first, and then the heart rate and stroke frequency can be obtained according to the The mapping relationship between the paddle frequencies determines the target stroke frequency interval corresponding to the target heart rate interval. When describing how to obtain the mapping relationship between heart rate and stroke frequency, it can be described in combination with different sports scenes.

In a possible sports scene, when the user's rowing machine exercises a lot of times, the user's historical heart rate and the rowing frequency corresponding to the historical heart rate can be obtained first, and the training fit is based on the historical heart rate and the rowing frequency corresponding to the historical heart rate The correlation model between heart rate and stroke frequency; in this way, after the target heart rate interval corresponding to the target exercise intensity is determined, the target heart rate interval corresponding to the target heart rate interval can be determined according to the correlation model between the heart rate and the stroke frequency obtained by the training fitting The paddle frequency range, thereby recommending the target paddle frequency range to the user. For example, please refer to FIG. 9. FIG. 9 is a schematic diagram of recommending the target stroke frequency range to the user according to an embodiment of the application. In combination with FIG. 8, the target exercise program is displayed to the user: warm up first, low Intensive exercise for 30-60 minutes, and then slowly end, the target heart rate interval corresponding to the target exercise program is [60%-70%], and then according to the correlation model between heart rate and stroke frequency, determine the target heart rate interval [60% -70%] corresponds to the target stroke frequency range, for example, the target stroke frequency range is [25, 35], and the target stroke frequency range is recommended to the user [25, 35].

It can be seen that in this possible sports scene, it is necessary to train and fit the correlation model between the heart rate and the stroke frequency according to the historical heart rate and the stroke frequency corresponding to the historical heart rate. Paddle frequency data, that is, there is a requirement for the amount of data. When the user's historical exercise frequency does not meet the requirements, and there is not enough stroke frequency corresponding to the historical heart rate, another possible exercise scenario is as follows. It is understandable that in this kind of possible sports scene, big data analysis can also be used to obtain the correlation model between heart rate and stroke frequency, and the correlation model between heart rate and stroke frequency obtained by big data analysis can be determined. The target stroke frequency range, thereby recommending the target stroke frequency range to the user. The difference is that training the correlation model between the heart rate and the stroke frequency based on the user’s historical heart rate and the stroke frequency corresponding to the historical heart rate is more suitable for the user. Therefore, in this possible sports scene, it is recommended to the user In the target stroke frequency range, the correlation model between the heart rate and the stroke frequency is usually trained and fitted according to the historical heart rate and the stroke frequency corresponding to the historical heart rate to determine the user's target stroke frequency range suitable for the user, so as to The user recommends the target stroke frequency range, which can improve the accuracy of the recommendation.

In another possible exercise scenario, when the user's rowing machine exercises less frequently, for example, when the user is currently performing rowing machine exercise for the first time, there is not enough historical heart rate and rowing frequency training corresponding to the historical heart rate. Fit the correlation model between the heart rate and the stroke frequency. Therefore, when recommending the target stroke frequency range to the user, you can first output a prompt message "Please enter the characteristic information" to the user. For example, the characteristic information may include The user’s gender, age (can be described by the date of birth), weight and other characteristics, and after receiving the characteristic information input by the user, for example, the gender is male, the date of birth is June 1, 1989, and the weight is 65 kg. The characteristic information is sent to the server, so that the server can determine the correlation model between the heart rate and the paddle frequency suitable for the user with the characteristic information based on the characteristic information, so that the mobile phone obtains from the server a model suitable for the user with the characteristic information The correlation model between the heart rate and the stroke frequency determines the target stroke frequency range according to the correlation model between the heart rate and the stroke frequency, thereby recommending the target stroke frequency range to the user. For example, please refer to FIG. 10. FIG. 10 is another schematic diagram of recommending the target paddle frequency range to the user according to an embodiment of the application. In combination with FIG. 8, the target exercise program is displayed to the user: warm up first, Low-intensity exercise for 30-60 minutes, and then slowly end, first collect the user’s gender, age, weight and other characteristics, and obtain the correlation model between the heart rate and the stroke frequency of the user with the characteristic information, and then according to the heart rate The correlation model with the stroke frequency determines the target stroke frequency range [26, 36], and recommends the target stroke frequency range to the user [26, 36].

In this possible sports scene, before the server sends the correlation model between the heart rate and stroke frequency suitable for the user with the feature information to the mobile phone according to the user's characteristic information, it needs to be trained based on the exercise data to obtain the heart rate and stroke frequency. Model of correlation between paddle frequencies. For example, before the user starts the rowing machine exercise, the mobile phone can output a prompt message to the user, for example, whether to participate in the rowing machine exercise tester plan. For an example, please refer to Figure 11, which is provided by the embodiment of the application. A schematic diagram of collecting user characteristic information. If the user clicks "Yes", the user is confirmed to participate in the rowing machine exercise tester program, and the user is prompted to enter the characteristic information, for example, "Please enter the characteristic information", gender, age (can be passed by birth Date description), weight and other characteristics, and after the end of the exercise, the user’s characteristic information and the heart rate and stroke frequency during the exercise are sent to the server, so that the server is based on these exercise data and other similar characteristics The exercise data of the user with the information is jointly trained and fitted to obtain the correlation model between the heart rate and the stroke frequency of the user with the characteristic information.

It can be seen that in this possible sports scene, the correlation model between the heart rate and the paddle frequency suitable for the user with this characteristic information is not based on the user's own historical heart rate during the historical exercise process and the historical heart rate corresponding to the stroke. The paddle frequency training is fitted. Therefore, when the target paddle frequency interval is recommended to the user based on the correlation model between the heart rate and the paddle frequency, there may be a problem with the accuracy of the recommended target paddle frequency interval. Therefore, as the number of user exercises increases, the heart rate and rowing frequency of the user’s rowing machine can be continuously collected to update the correlation model between the heart rate and rowing frequency received from the server before, so as to update The correlation model between the later heart rate and the stroke frequency is more in line with the user, so that the correlation model between the heart rate and the stroke frequency is trained according to the historical heart rate and the stroke frequency corresponding to the historical heart rate, and the target is recommended to the user The stroke frequency range can improve the recommended accuracy.

Of course, in this possible scenario, for example, when the user is currently performing a rowing machine exercise for the first time, the mobile phone can also output a prompt message to the user. The prompt message can be: five exercise data needs to be collected to use this function. Then, during the first five exercises of the user, the user will not be recommended to the user a suitable target stroke frequency range, until the historical heart rate during the previous five rowing machine exercises and the stroke frequency training fit corresponding to the historical heart rate are obtained After the correlation model between the heart rate and the stroke frequency, in the subsequent exercise process, the correlation model between the heart rate and the stroke frequency can be obtained based on the training fitting to recommend the target stroke frequency to the user, but in this way, the previous During the five exercises, since the user will not be recommended to the user with a suitable target stroke frequency range, the user's experience will be poor.

After determining the target stroke frequency range corresponding to the target heart rate range through the above two possible sports scenarios, the target stroke frequency range can be recommended to the user, that is, the following S405 is executed, so as to pass the target stroke frequency range to the user To provide guidance for the boating exercise.

S405: Recommend the target paddle frequency range to the user.

When recommending the target stroke frequency range to the user, it can be described in combination with two different situations. In one case, when only one type of target exercise intensity is included in the target exercise plan, after determining the appropriate target stroke frequency corresponding to the target exercise intensity, the mobile phone can only report to the user during the entire exercise process. The user recommends displaying the appropriate target stroke frequency corresponding to the target exercise intensity. For example, when the target exercise program is to warm up, exercise with low intensity for 30-60 minutes, and then end slowly, then the target exercise program only includes the target exercise intensity of low intensity exercise, then the appropriate exercise intensity corresponding to the target exercise intensity is determined After the target stroke frequency range [25, 35], the user is recommended to the target stroke frequency range [25, 35], as shown in Figure 9 above, so that the user can according to the target stroke frequency range [25, 35] Control your own paddling frequency, so as to provide guidance for the user's rowing movement through a suitable paddling frequency.

In another case, when the exercise plan includes at least two types of target exercise intensity, after determining the appropriate target stroke frequency corresponding to the different target exercise intensity, when the exercise corresponding to the first target exercise intensity is about to When it is over and is about to enter another target exercise intensity, the problem of switching the display of the stroke frequency range will be involved. For example, when the exercise program includes warm-up, low-intensity exercise for 30-40 minutes, high-intensity exercise for 3 minutes, and then slowly ends, the target exercise program includes low-intensity exercise and high-intensity exercise, which are determined separately After the target stroke frequency range [25, 35] corresponding to low-intensity exercise and the target stroke frequency range [33, 38] corresponding to high-intensity exercise, for example, please refer to Figure 12, which is an embodiment of the application Provide another schematic diagram of recommending the target stroke frequency range to the user. First recommend the target stroke frequency range to the user as [25, 35], and when the low-intensity exercise is about to end and enter the high-intensity exercise, you can Enter a prompt message to the user. For example, the prompt message can be "Entering high-intensity mode soon". Of course, the duration of high-intensity mode can also be added when prompting, for example, "High-intensity mode is about to be entered, and the duration is 3. Minutes, etc., the prompt information can also be text prompt information or voice prompt information, which can be set according to actual needs. Taking text prompt information as an example, the mobile phone can display the prompt information to the user. After displaying it for a few seconds, Then output the target stroke frequency range [33, 38] corresponding to the high-intensity exercise, so that the user can control his own stroke frequency according to the target stroke frequency range [33, 38], so as to achieve the appropriate stroke frequency Provide guidance for the user's rowing exercise.

It can be seen that the method for recommending the stroke frequency provided by the embodiment of the present application obtains the mapping relationship between the heart rate and the stroke frequency, so that after determining the target exercise intensity corresponding to the user's current stroke according to the instruction information, the target exercise intensity can be determined according to the target The heart rate zone corresponding to exercise intensity, and the mapping relationship between heart rate and stroke frequency, recommends the target stroke frequency zone corresponding to the target heart rate zone to the user, so that the user can control his own stroke frequency according to the target stroke frequency zone , So as to provide guidance for the user's rowing movement through the appropriate rowing frequency.

Based on the embodiment shown in Figure 4 above, in addition to recommending to the user a target paddle frequency range suitable for the user, so as to provide guidance for the user's rowing exercise through the appropriate paddle frequency, the user can also be further prompted to adjust the current rowing frequency. Frequency, as an example, please refer to FIG. 13. FIG. 13 is a schematic flowchart of another method for recommending a paddle frequency according to an embodiment of the application. The method for recommending a paddle frequency may further include:

S1301. The mobile phone obtains the user's real-time paddle frequency.

For example, when obtaining the real-time paddle frequency of the user during exercise, the real-time paddle frequency sent by the rowing machine may be directly received, or the user's real-time paddle frequency may be obtained through calculation. For example, when calculating and acquiring the user’s real-time paddle frequency, because a certain part of the user’s body, such as the distance between the wrist and a fixed reference object, will change back and forth during the user’s paddling process, correspondingly, the mobile phone and the fixed reference object will change back and forth. The strength of the wireless communication signal between the terminals set above will also change periodically. Therefore, the mobile phone can calculate the user's real-time paddle frequency according to the number of periodic changes in the strength of the wireless communication signal. Of course, the user's real-time paddle frequency can also be obtained in other ways. Here, the embodiment of the present application does not specifically limit how to obtain the user's real-time paddle frequency.

For example, please refer to FIG. 14. FIG. 14 is a schematic diagram showing the user's real-time paddle frequency according to an embodiment of the application. Assuming that the user's current real-time paddle frequency is 20, the target paddle frequency is being recommended to the user. In the frequency range [25, 35], it can also show the user that the current real-time paddle frequency is 20.

S1302 The real-time paddle frequency is compared with the target paddle frequency range, and the user is reminded based on the comparison result.

For example, the prompt information may be voice prompt information or text prompt information, which can be specifically set according to actual needs. Here, the embodiment of the present application does not make specific restrictions.

When reminding the user based on the comparison result, if the user's real-time paddle frequency is less than the minimum value of the target paddle frequency range, it means that the user is paddling slowly, and the first prompt information is output to the user, and the first prompt information is used to prompt the user Increase the stroke frequency. On the contrary, if the user's real-time paddle frequency is greater than the maximum value of the target paddle frequency interval, it means that the user is paddling faster, and the second prompt information is output to the user, and the second prompt information is used to prompt the user to reduce the paddle frequency. Taking the prompt information as text prompt information as an example, combined with the above-mentioned Figure 14, the user's current real-time paddle frequency is 20, then when recommending the target paddle frequency range [25, 35] to the user, the prompt can be displayed to the user first The message "please speed up the paddle frequency", after a few seconds, you can continue to display the real-time paddle frequency and the target paddle frequency range to the user [25, 35]. For an example, please refer to Figure 15 for this application. The embodiment provides another schematic diagram showing the user's real-time paddle frequency. It is understandable that during the user's exercise, the mobile phone can display the real-time paddle frequency and the recommended target paddle frequency to the user, and can also display the exercise results so far to the user. Assuming that the user’s rowing machine exercise has a duration of 0.7h, a calorie consumption of 4.1kcal, and an exercise mileage of 95m so far, the user will be shown the real-time rowing frequency and the recommended target rowing frequency at the same time. The duration is 0.7h, the calorie consumption is 4.1kcal, and the exercise mileage is 95m. For an example, please refer to FIG. 16. FIG. 16 is a schematic diagram showing the user's real-time paddle frequency and exercise results provided by an embodiment of the application.

It can be seen that during the entire rowing machine movement process, by outputting the real-time rowing frequency and the recommended target rowing frequency range to the user, the user can control his own rowing according to the real-time rowing frequency and the recommended target rowing frequency range. Frequency, so as to provide guidance for the user’s rowing movement through a suitable rowing frequency. In addition, after this rowing machine exercise is over, the heart rate and the corresponding rowing frequency during this rowing machine exercise can also be used as the user’s historical heart rate and rowing frequency, and the heart rate and heart rate corresponding to the rowing machine exercise The paddle frequency optimizes and updates the mapping relationship between the pre-established heart rate and the paddle frequency, thereby improving the accuracy of the correlation model between the heart rate and the paddle frequency.

After the user's rowing machine exercises, the mobile phone will exit the rowing machine mode. For example, in a possible implementation manner, a prompt message may be output to the user, the prompt message may be "whether to exit the rowing machine mode", if the user clicks "Yes", the rowing machine mode is exited in response to the user's second operation For an example, please refer to FIG. 17, which is a schematic diagram of exiting the rowing machine mode according to an embodiment of the application. In another possible implementation manner, the mobile phone can automatically exit the rowing machine mode, for example, if the sensor in the mobile phone detects that it has not moved for a long time within a period of time, it will automatically exit the rowing machine mode. In addition, after exiting the rowing machine mode, the mobile phone can also display the exercise results to the user. For example, the exercise results may include: exercise duration, calories burned, and exercise mileage, etc. For an example, please refer to Figure 18. Figure 18 is a schematic diagram showing exercise results provided by an embodiment of the application. It is assumed that the user’s exercise time on the rowing machine this time is 1h, the calorie consumption is 6.1kcal, and the exercise mileage is 125m, after exiting the rowing machine mode, the mobile phone can also show the user the exercise duration of this rowing machine exercise for 1h, the calorie consumption 6.1kcal, and the exercise mileage of 125m, so that the user can intuitively see the exercise results of the entire exercise process To enrich the display content.

It can be seen that the above embodiment describes in detail how to determine the target according to the target heart rate interval corresponding to the target exercise intensity and the mapping relationship between the heart rate and the stroke frequency in a possible application scenario when the terminal is a mobile phone. The target stroke frequency range corresponding to the heart rate range; and recommend the target stroke frequency range to the user, so that the user can control his own stroke frequency according to the target stroke frequency range, so as to achieve the user’s satisfaction through the appropriate stroke frequency. Rowing exercises provide guidance. In the following, it will be described in detail in another possible application scenario, which can be combined with the one shown in Figure 2. When the terminal is a wearable device, for example, please refer to Figure 19, which is an example provided by an embodiment of the application. A schematic flow diagram of a recommended method of paddle frequency. The recommended method of paddle frequency may include:

S1901, in response to the user's first operation, the wearable device starts the rowing machine mode.

For example, when the rowing machine mode is activated, similar to the case when the terminal is a mobile phone shown in the foregoing embodiment, at least two possible implementation manners may also be included, in one possible implementation manner. As shown in FIG. 20, FIG. 20 is a schematic diagram of starting the rowing machine mode according to an embodiment of the application. The user can unlock the screen of the wearable device by tapping. After the screen is unlocked, the wearable device displays functions to the user through the screen Lists, such as compass, weather, sports health, music, etc., the user can click the sports health button, and the wearable device displays a list of sports items in sports health to the user through the screen. The list of sports items can include swimming, running, rowing machines, and barbells. Waiting for the running item, the user can select the rowing machine in the sports item list, and the wearable device starts the rowing machine mode in response to the first operation of the user manually clicking the rowing machine. It can be seen that in this possible implementation mode, when starting the rowing machine mode, the user manually starts the rowing machine mode. Although this method needs to be manually triggered by the user, the rowing machine mode can be effectively avoided by using this method to start the rowing machine mode. If the machine mode is turned on by mistake, the accuracy of starting the rowing machine mode is improved.

It should be noted that when the user performs a selection operation on the wearable device screen, the selection operation can be performed on the wearable device screen by tapping and touching, or the selection operation can be performed on the wearable device screen by sliding and touching. , Even, you can also perform selection operations on the screen of the wearable device through air control, which can be set according to actual needs. In the subsequent description, the description will be continued by taking the selection operation performed on the screen of the wearable device by clicking as an example, but it does not mean that the embodiment of the present application is limited to this.

In another possible implementation, different from the above-mentioned user manually starting the rowing machine mode, the wearable device can automatically start the rowing machine mode, which may include at least three possible implementation schemes. For a detailed description, please refer to Figure 4 above. In the illustrated embodiment, the wearable device automatically activates the relevant description of the rowing machine mode, which will not be repeated in the embodiment of the present application. It can be seen that in this possible implementation mode, the wearable device automatically starts the rowing machine mode. This startup process does not require manual operation by the user. Although the rowing machine mode may be turned on by mistake in this way, it is manually activated by the above-mentioned user. Rowing machine mode can reduce user manual operations and improve user experience.

S1902, after entering the rowing machine mode, determine the target exercise intensity corresponding to the rowing machine exercise according to the instruction information.

Wherein, the instruction information is input by the user, what the instruction information can be, and what the movement goal can be, for details, please refer to the relevant description in the foregoing S402, and details are not described in the embodiment of the present application here.

Before determining the target exercise intensity corresponding to this rowing machine exercise according to the exercise goal, the exercise goal selected by the user needs to be determined first, which may include at least two possible implementation manners. In a possible implementation, combined with the above shown in Figure 19, after the wearable device activates the rowing machine mode, the screen shows the user a list of corresponding sports goals in the rowing machine mode. For an example, see Figure 21. 21 is a schematic diagram of determining sports goals provided by an embodiment of the application. The sports goal list can include five sports goals: relaxation, fat loss and weight loss, cardiorespiratory improvement, muscle gain, and sports performance improvement. List of sports goals The sports goals you want to achieve in this rowing machine exercise. Assuming that the sports goal that the user wants to achieve in this rowing machine exercise is fat loss and weight loss, the user can manually click the fat loss and weight loss button, and the wearable device is detecting After the user manually clicks on the fat loss and weight loss operation, the exercise goal selected by the user can be determined to be fat loss and weight loss.

In a possible implementation manner, in conjunction with the above shown in Figure 20, after the wearable device activates the rowing machine mode, it does not need to display a list of sports goals to the user on the screen for the user to choose as shown in Figure 21. Directly recommend the user's sports goals suitable for the user. When recommending a sports goal suitable for the user to the user, you can first determine the sports goal suitable for the user based on the health data input by the user or the collected user historical health data, and then recommend the sports goal to the user. For an example, see Figure 22 As shown, FIG. 22 is another schematic diagram of determining a sports goal provided by an embodiment of the application. Assuming that it is determined that the sports goal suitable for the user is fat loss and weight loss according to the health data input by the user or the collected user historical health data, Recommend the fat and weight loss goal to the user, for example, do you choose a muscle gain goal? If the user chooses yes, it is determined that the exercise goal selected by the user is fat loss and weight loss. If the user chooses no, then in conjunction with the above figure 21, the screen shows the user a list of exercise goals corresponding to the rowing machine exercise. The list can include five sports goals: relaxation, fat loss and weight loss, cardiopulmonary ability, muscle gain, and sports performance. The user can list the sports goals he wants to achieve in this rowing machine exercise. Suppose the user is rowing machine this time The exercise goal that the exercise wants to achieve is fat loss and weight loss. The user can manually click the fat loss and weight loss button. After the wearable device detects that the user has manually clicked the fat loss and weight loss operation, it can determine that the user’s selected exercise goal is to lose weight. Fat loss. It is understandable that, when determining the sport goal selected by the user, the embodiment of the present application only uses the foregoing two possible implementation manners as examples for illustration, but it does not mean that the embodiment of the present application is limited to these.

Since different sports goals correspond to different exercise programs, and different sports programs have their own exercise intensity, after determining the sports goal selected by the user, the target sports program corresponding to the sports goal selected by the user can be determined. The exercise intensity corresponding to the exercise program is the target exercise intensity. For example, when determining the target exercise program corresponding to the exercise target selected by the user, the following at least three possible implementation manners may be included, which are the same as the at least three included when determining the target exercise program corresponding to the exercise target selected by the user in S402. The possible implementation manners are similar, and reference may be made to the related description of determining the target motion scheme corresponding to the motion target selected by the user in the foregoing S402. Here, the details are not described in the embodiment of the present application.

After determining the target exercise program corresponding to the exercise target selected by the user, since different exercise programs correspond to their respective exercise intensities, once the target exercise program is selected, the corresponding target exercise intensity is also determined. The target exercise program The corresponding exercise intensity is the target exercise intensity. In addition, the target exercise program can also be displayed to the user. For example, please refer to FIG. 23. FIG. 23 is a schematic diagram showing the exercise plan corresponding to the exercise goal according to an embodiment of the application. When the target exercise plan selected by the user is fat loss and weight loss, the goal displayed to the user The exercise program is to warm up and exercise at low intensity for 30-60 minutes, and then slowly end. Under this kind of target exercise program, the corresponding target intensity is low-intensity exercise for 30-60 minutes.

It is understandable that when determining the target exercise intensity according to the exercise goal, the embodiment of the present application only uses the exercise plan as an intermediary to reflect the association between the exercise goal and the target exercise intensity as an example for description, but it does not represent the embodiment of the present application. Only limited to this. Of course, it is also possible to directly determine the target exercise intensity according to the exercise goal without embodying the concept of the exercise plan.

S1903: Determine a target heart rate interval corresponding to the target exercise intensity according to the mapping relationship between the exercise intensity and the heart rate.

In order to provide guidance for the user's rowing exercise through the appropriate paddle frequency, in the embodiment of the present application, it is precisely because the mapping relationship between the heart rate and the paddle frequency is obtained in advance, so that the target heart rate interval corresponding to the target exercise intensity is determined Then, the target stroke frequency interval corresponding to the target heart rate interval can be determined directly according to the mapping relationship between the heart rate and the stroke frequency, that is, the following S1904 is executed:

S1904. Determine a target stroke frequency interval corresponding to the target heart rate interval according to the mapping relationship between the heart rate and the stroke frequency.

For example, the mapping relationship between the heart rate and the stroke frequency can be represented by the correlation model between the heart rate and the stroke frequency shown in the above formula 1. It is understandable that the target stroke frequency interval corresponding to the target heart rate interval is determined according to the mapping relationship between the heart rate and the stroke frequency, because the heart rate is expressed by the target heart rate interval, and different heart rates correspond to different stroke frequencies. Therefore, the target stroke frequency obtained based on the heart rate interval is also expressed in the target stroke frequency interval.

Before determining the target stroke frequency interval corresponding to the target heart rate interval according to the mapping relationship between the heart rate and the stroke frequency, the mapping relationship between the heart rate and the stroke frequency can be obtained first, and then the heart rate and stroke frequency can be obtained according to the The mapping relationship between the paddle frequencies determines the target stroke frequency interval corresponding to the target heart rate interval. When describing how to obtain the mapping relationship between the heart rate and the stroke frequency, it can be described in combination with different sports scenes, which is similar to the method of how to obtain the mapping relationship between the heart rate and the stroke frequency in the above S404. For details, please refer to the above S404 The description of how to obtain the mapping relationship between the heart rate and the paddle frequency in the embodiment of the present application will not be repeated here.

In a possible sports scene, when the user's rowing machine exercises a lot of times, the user's historical heart rate and the rowing frequency corresponding to the historical heart rate can be obtained first, and the training fit is based on the historical heart rate and the rowing frequency corresponding to the historical heart rate Model of correlation between heart rate and stroke frequency. For example, please refer to Figure 24. Figure 24 is a schematic diagram of recommending the target stroke frequency range to the user according to an embodiment of the application. Combined with Figure 23, the target exercise plan is displayed to the user: warm up first, low Intensive exercise for 30-60 minutes, and then slowly end, the target heart rate interval corresponding to the target exercise program is [60%-70%], and then according to the correlation model between heart rate and stroke frequency, determine the target heart rate interval [60% -70%] corresponds to the target stroke frequency range, for example, the target stroke frequency range is [25, 35], and the target stroke frequency range is recommended to the user [25, 35].

In another possible exercise scenario, when the user's rowing machine exercises less frequently, for example, when the user is currently performing rowing machine exercise for the first time, there is not enough historical heart rate and rowing frequency training corresponding to the historical heart rate. Fitting the correlation model between the heart rate and the stroke frequency. Therefore, the user's characteristic information can be sent to the server, so that the server can determine the relationship between the heart rate and the stroke frequency suitable for the user with the characteristic information according to the characteristic information The correlation model of the wearable device can obtain the correlation model between the heart rate and the stroke frequency suitable for the user with the characteristic information from the server, and determine the target stroke frequency range according to the correlation model between the heart rate and the stroke frequency , So as to recommend the target stroke frequency range to the user. For example, please refer to FIG. 25. FIG. 25 is another schematic diagram of recommending the target paddle frequency range to the user according to an embodiment of the application. In combination with FIG. 23, the target exercise program is displayed to the user: warm up first, Low-intensity exercise for 30-60 minutes, and then slowly end, first collect the user’s gender, age, weight and other characteristics, and obtain the correlation model between the heart rate and the stroke frequency of the user with the characteristic information, and then according to the heart rate The correlation model with the stroke frequency determines the target stroke frequency range [26, 36], and recommends the target stroke frequency range to the user [26, 36].

In this possible sports scene, before the user starts the rowing machine exercise, the wearable device can output a prompt message to the user, for example, whether to participate in the rowing machine exercise tester plan. For an example, see Figure 26. 26 is a schematic diagram of collecting user characteristic information provided by an embodiment of this application. If the user clicks "Yes", the user is confirmed to participate in the rowing machine exercise tester program, and the user is prompted to enter the characteristic information, for example, "Please enter the characteristic information" , Gender, age (can be described by date of birth), weight and other characteristics, and after the end of the exercise, the user’s characteristic information and the heart rate and paddle frequency during exercise are sent to the server, so that the server can be based on these exercises The data, as well as the exercise data of other users with the similar characteristic information, are jointly trained and fitted to obtain an association model between the heart rate and the stroke frequency of the user with the characteristic information.

After determining the target stroke frequency range corresponding to the target heart rate range through the above two possible sports scenarios, the target stroke frequency range can be recommended to the user, that is, the following S1905 is executed, so as to pass the target stroke frequency range to the user To provide guidance for the boating exercise.

S1905. Recommend the target paddle frequency range to the user.

When recommending the target stroke frequency range to the user, it can be described in combination with two different situations. In one case, when only one type of target exercise intensity is included in the target exercise plan, after determining the appropriate target stroke frequency corresponding to the target exercise intensity, the wearable device can only be used during the entire exercise process of the user. It is recommended to the user to display the appropriate target paddle frequency corresponding to the target exercise intensity. Refer to Figure 24 above, so that the user can control his own rowing frequency according to the target rowing frequency range [25, 35], so as to realize the guidance of the user's rowing movement through the appropriate rowing frequency.

In another case, the exercise plan includes at least two types of target exercise intensities. After determining the appropriate target stroke frequency corresponding to different target exercise intensities, when the exercise corresponding to the first target exercise intensity is about to end, And when you are about to enter another target exercise intensity, the problem of switching the display of the stroke frequency range will be involved. For example, when the exercise program includes warm-up, low-intensity exercise for 30-40 minutes, high-intensity exercise for 3 minutes, and then slowly ends, the target exercise program includes low-intensity exercise and high-intensity exercise, which are determined separately After the target stroke frequency range [25, 35] corresponding to low-intensity exercise and the target stroke frequency range [33, 38] corresponding to high-intensity exercise, for example, please refer to Figure 27, which is an example of this application Provide another schematic diagram of recommending the target stroke frequency range to the user. First recommend the target stroke frequency range to the user as [25, 35], and when the low-intensity exercise is about to end and enter the high-intensity exercise, you can Enter a prompt message to the user. For example, the prompt message can be "Entering high-intensity mode soon". Of course, the duration of high-intensity mode can also be added when prompting, for example, "High-intensity mode is about to be entered, and the duration is 3. Minutes, etc., the prompt information can also be text prompt information or voice prompt information, which can be set according to actual needs. Taking text prompt information as an example, the wearable device can display the prompt information to the user for a few seconds Then, output the target stroke frequency range [33, 38] corresponding to the high-intensity exercise, so that the user can control his own stroke frequency according to the target stroke frequency range [33, 38], so as to achieve a proper stroke The paddle frequency provides guidance for the user's rowing movement.

Based on the embodiment shown in FIG. 19, in addition to recommending the user's target paddle frequency range suitable for the user, so as to provide guidance for the user's rowing exercise through the appropriate paddle frequency, the user can also be further prompted to adjust the current rowing frequency. Frequency, for an example, please refer to FIG. 28. FIG. 28 is a schematic flowchart of another method for recommending a paddle frequency according to an embodiment of the application. The method for recommending a paddle frequency may further include:

S2801. The wearable device obtains the user's real-time paddle frequency.

For the method of obtaining the user's real-time paddle frequency, reference may be made to the related description in S1301 above, and details are not described in this embodiment of the present application.

For example, please refer to FIG. 29, which is a schematic diagram showing the user's real-time paddle frequency according to an embodiment of the application. Assuming that the user's current real-time paddle frequency is 20, the target paddle frequency is being recommended to the user. In the frequency range [25, 35], it can also show the user that the current real-time paddle frequency is 20.

S2802 compares the real-time paddle frequency with the target paddle frequency range, and reminds the user based on the comparison result.

When reminding the user based on the comparison result, if the user's real-time paddle frequency is less than the minimum value of the target paddle frequency range, it means that the user is paddling slowly, and the first prompt information is output to the user, and the first prompt information is used to prompt the user Increase the stroke frequency. On the contrary, if the user's real-time paddle frequency is greater than the maximum value of the target paddle frequency interval, it means that the user is paddling faster, and the second prompt information is output to the user, and the second prompt information is used to prompt the user to reduce the paddle frequency. Taking the prompt message as the text prompt message as an example, combined with the above figure 29, the user's current real-time paddle frequency is 20, then when recommending the target stroke frequency range [25, 35] to the user, the prompt can be displayed to the user first The message "please speed up the paddle frequency", after a few seconds, you can continue to display the real-time paddle frequency and the target paddle frequency range to the user [25, 35]. For an example, please refer to Figure 30, which is an application. The embodiment provides another schematic diagram showing the user's real-time paddle frequency. It is understandable that, during the user's exercise, the wearable device can display the real-time paddle frequency and the recommended target paddle frequency to the user at the same time, and can also display the exercise results so far to the user. Assuming that the user’s rowing machine exercise has a duration of 0.7h, a calorie consumption of 4.1kcal, and an exercise mileage of 95m so far, the user will be shown the real-time rowing frequency and the recommended target rowing frequency at the same time. The duration is 0.7h, the calorie consumption is 4.1kcal, and the exercise mileage is 95m. For an example, please refer to FIG. 31. FIG. 31 is a schematic diagram showing the user's real-time paddling frequency and exercise results provided by an embodiment of the application.

It is understandable that when reminding the user based on the comparison result, in order to avoid frequent reminding experience, the real-time stroke frequency can be less than the minimum value of the target stroke frequency interval, or the number of times greater than the maximum value of the target stroke frequency interval is greater than the preset When the threshold is set, the user is then reminded, so that the number of reminders can be reduced.

After the user's rowing machine exercises, the wearable device will exit the rowing machine mode. For example, in a possible implementation manner, a prompt message may be output to the user, the prompt message may be "whether to exit the rowing machine mode", if the user clicks "Yes", the rowing machine mode is exited in response to the user's second operation For an example, please refer to FIG. 32, which is a schematic diagram of exiting the rowing machine mode according to an embodiment of the application. In another possible implementation, the wearable device can automatically exit the rowing machine mode. For example, if the sensor in the wearable device detects that it has not moved for a long time within a period of time, it will automatically exit the rowing machine mode. . In addition, after exiting the rowing machine mode, the wearable device can also display exercise results to the user. For example, the exercise results may include: exercise duration, calories burned, and exercise mileage. For example, please refer to Figure 33. Figure 33 is a schematic diagram showing exercise results provided by an embodiment of the application. It is assumed that the user’s exercise time on the rowing machine this time is 1h, the calorie consumption is 6.1kcal, and the exercise mileage is 125m, after exiting the rowing machine mode, the wearable device can also show the user the exercise duration of this rowing machine exercise for 1h, the calorie consumption 6.1kcal, and the exercise mileage of 125m, so that the user can intuitively see the entire exercise process. Exercise results, thereby enriching the display content.

FIG. 34 is a schematic structural diagram of a device 340 for recommending a paddle frequency according to an embodiment of the application. For an example, please refer to FIG. 34. The device 340 for recommending a paddle frequency may include:

The processing unit 3401 is configured to activate the rowing machine mode in response to the user's first operation; and after entering the rowing machine mode, determine the target exercise intensity corresponding to this rowing machine exercise according to the instruction information, and the instruction information is input by the user.

The processing unit 3401 is further configured to determine the target heart rate interval corresponding to the target exercise intensity according to the mapping relationship between the exercise intensity and the heart rate; and determine the target stroke corresponding to the target heart rate interval according to the mapping relationship between the heart rate and the stroke frequency Frequency interval.

The processing unit 3401 is further configured to recommend a target stroke frequency range to the user.

Optionally, the device 340 for recommending the stroke frequency may further include a display unit 3402.

The display unit 3402 is configured to display the target paddle frequency range to the user.

Optionally, the mapping relationship between the heart rate and the stroke frequency is obtained by training based on the user's historical heart rate and the stroke frequency corresponding to the historical heart rate.

Optionally, the device 340 for recommending the stroke frequency may further include:

The acquiring unit 3403 is configured to acquire characteristic information of the user; the characteristic information includes at least one of age, gender, or weight.

The sending unit 3404 is used to send feature information to the service.

The receiving unit 3405 is configured to receive the mapping relationship between the heart rate and the paddle frequency from the server; the mapping relationship between the heart rate and the paddle frequency is determined according to the feature information.

Optionally, the obtaining unit 3403 is also used to obtain the user's real-time paddle frequency.

The processing unit 3401 is also configured to remind the user according to the real-time paddle frequency and the target paddle frequency range.

Optionally, the processing unit 3401 is specifically configured to output first prompt information if the real-time stroke frequency is less than the minimum value of the target stroke frequency interval; the first prompt information is used to prompt the user to speed up the stroke frequency; If the frequency is greater than the maximum value of the target stroke frequency interval, the second prompt information is output; the second prompt information is used to prompt the user to reduce the stroke frequency.

Optionally, the indication information is a moving target; the obtaining unit 3403 is further configured to obtain the mapping relationship between the moving target and the motion scheme.

The processing unit 3401 is further configured to determine the target exercise program corresponding to the sports target according to the mapping relationship between the exercise target and the exercise program; the exercise intensity corresponding to the target exercise program is the target exercise intensity.

Optionally, the display unit 3402 is further configured to display a list of corresponding sports goals in the rowing machine mode; the list of sports goals includes at least one of relaxation, fat loss and weight loss, cardiopulmonary enhancement, muscle gain, and sports performance enhancement.

Optionally, the processing unit 3401 is further configured to exit the rowing machine mode in response to the second operation of the user;

The display unit 3402 is also configured to display the user's exercise achievement after exiting the rowing machine mode, the exercise achievement including at least one of exercise duration, calorie consumption, or exercise mileage.

Optionally, the display unit 3402 is also used to display a list of sports items, and the list of sports items includes rowing machine exercises.

The processing unit 3401 is specifically configured to activate the rowing machine mode according to the user's activation operation for the rowing machine motion.

Optionally, the processing unit 3401 is further configured to automatically start the rowing machine mode when it detects that a Bluetooth connection is established with the rowing machine.

Optionally, the processing unit 3401 is further configured to use the heart rate of the rowing machine exercise and the rowing frequency corresponding to the heart rate to update the mapping relationship between the heart rate and the rowing frequency.

The device 340 for recommending the stroke frequency shown in the embodiment of the present application can implement the method for recommending the stroke frequency shown in any of the above embodiments, its realization principle and beneficial effects and the realization principle and benefits of the recommended method for the stroke frequency The effect is similar and will not be repeated here.

35 is a schematic structural diagram of an electronic device 350 provided by an embodiment of the application. For an example, please refer to FIG. 35. The electronic device 350 may include a processor 3501, a memory 3502, and a transceiver 3503. The memory 3502 Used to store instructions, the transceiver 3503 is used to communicate with other devices, and the processor 3501 is used to execute the instructions stored in the memory 3502, so that the electronic device executes the commands shown in any of the above embodiments. The implementation principle and beneficial effects of the recommended method for the paddle frequency are similar to the implementation principles and beneficial effects of the recommended method for the paddle frequency, and will not be repeated here.

An embodiment of the present application also provides a chip that includes a programmable logic circuit and an input interface, the input interface is used to obtain data to be processed, and the logic circuit is used to perform any of the above-mentioned implementations on the data to be processed The implementation principles and beneficial effects of the recommended method for the stroke frequency shown in the example are similar to the implementation principles and beneficial effects of the recommended method for the stroke frequency, and will not be repeated here.

The embodiment of the present application also provides a computer-readable storage medium having instructions stored in the computer-readable storage medium, which is characterized in that, when the instructions are executed on an electronic device, the electronic device is caused to execute any of the foregoing. The implementation principle and beneficial effects of the recommended method for the stroke frequency shown in an embodiment are similar to the implementation principles and beneficial effects of the recommended method for the stroke frequency, and will not be repeated here.

The embodiment of the present application also provides a computer program product, when the computer program product runs on an electronic device, the electronic device is caused to execute the method for recommending the stroke frequency shown in any of the above embodiments, and its implementation principle And the beneficial effects are similar to the implementation principles and beneficial effects of the recommended method for the paddle frequency, and will not be repeated here.

The processor in each of the foregoing embodiments may be a general-purpose processor, a digital signal processor (digital signal processor, DSP), an application specific integrated circuit (ASIC), a field programmable gate array (FPGA) Or other programmable logic devices, discrete gates or transistor logic devices, discrete hardware components. The methods, steps, and logical block diagrams disclosed in the embodiments of the present application can be implemented or executed. The general-purpose processor may be a microprocessor or the processor may also be any conventional processor or the like. The steps of the method disclosed in the embodiments of the present application may be directly embodied as being executed and completed by a hardware decoding processor, or executed and completed by a combination of hardware and software modules in the decoding processor. Software modules can be located in random access memory (RAM), flash memory, read-only memory (read-only memory, ROM), programmable read-only memory, or electrically erasable programmable memory, registers, etc. mature in the field Storage medium. The storage medium is located in the memory, and the processor reads the instructions in the memory and completes the steps of the above method in combination with its hardware.

In the several embodiments provided in this application, it should be understood that the disclosed device and method can be implemented in other ways. For example, the device embodiments described above are merely illustrative, for example, the division of the units is only a logical function division, and there may be other divisions in actual implementation, for example, multiple units or components can be combined or It can be integrated into another system, or some features can be ignored or not implemented. In addition, the displayed or discussed mutual coupling or direct coupling or communication connection may be indirect coupling or communication connection through some interfaces, devices or units, and may be in electrical, mechanical or other forms.

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, they may be located in one place, or they may be distributed on multiple network units. Some or all of the units may be selected according to actual needs to achieve the objectives of the solutions of the embodiments.

In addition, the functional units in the various embodiments of the present application may be integrated into one processing unit, or each unit may exist alone physically, or two or more units may be integrated into one unit. The above-mentioned integrated unit may be implemented in the form of hardware, or may be implemented in the form of hardware plus software functional units.

Claims

A recommended method for paddle frequency, which is characterized in that it includes:

In response to the user's first operation, start the rowing machine mode;

After entering the rowing machine mode, determine the target exercise intensity corresponding to this rowing machine exercise according to the instruction information, the instruction information being input by the user;

Determine the target heart rate interval corresponding to the target exercise intensity according to the mapping relationship between exercise intensity and heart rate;

Determine the target stroke frequency interval corresponding to the target heart rate interval according to the mapping relationship between the heart rate and the stroke frequency;

Recommend the target stroke frequency range to the user.
The method according to claim 1, wherein the recommending the target stroke frequency interval to a user comprises:

The target paddle frequency range is displayed to the user.
The method according to claim 1 or 2, characterized in that:

The mapping relationship between the heart rate and the stroke frequency is obtained by training based on the user's historical heart rate and the stroke frequency corresponding to the historical heart rate.
The method according to claim 1 or 2, wherein the method further comprises:

Acquiring characteristic information of the user; the characteristic information includes at least one of age, gender, or weight;

Sending the characteristic information to the service;

The mapping relationship between the heart rate and the paddle frequency is received from the server; the mapping relationship between the heart rate and the paddle frequency is determined according to the characteristic information.
The method according to any one of claims 1-4, wherein the method further comprises:

Get the user's real-time paddle frequency;

The user is reminded according to the real-time paddle frequency and the target paddle frequency interval.
The method of claim 5, wherein the reminding a user based on the real-time paddle frequency and the target paddle frequency interval comprises:

If the real-time stroke frequency is less than the minimum value of the target stroke frequency interval, output first prompt information; the first prompt information is used to prompt the user to increase the stroke frequency;

If the real-time stroke frequency is greater than the maximum value of the target stroke frequency interval, second prompt information is output; the second prompt information is used to prompt the user to reduce the stroke frequency.
The method according to any one of claims 1 to 6, wherein the indication information is a sports target, and before determining the target exercise intensity corresponding to this rowing machine exercise according to the indication information, the method further comprises:

Obtain the mapping relationship between the sports goal and the sports plan;

According to the mapping relationship between the sports target and the sports program, the target sports program corresponding to the sports target is determined; the sports intensity corresponding to the target sports program is the target sports intensity.
8. The method according to claim 7, wherein before determining the target exercise intensity corresponding to this rowing machine exercise according to the instruction information, the method further comprises:

A list of sports goals corresponding to the rowing machine mode is displayed; the list of sports goals includes at least one of relaxation, fat loss and weight loss, cardiopulmonary enhancement, muscle gain, and sports performance enhancement.
The method according to any one of claims 1-8, wherein the method further comprises:

In response to the user's second operation, exit the rowing machine mode;

After exiting the rowing machine mode, the exercise results of the user are displayed, and the exercise results include at least one of exercise duration, calories burned, or exercise mileage.
The method according to any one of claims 1-9, wherein the activation of the rowing machine mode in response to the user's first operation comprises:

Displaying a list of sports items, the list of sports items including rowing machine sports;

According to the user's starting operation for the movement of the rowing machine, the rowing machine mode is activated.
The method according to any one of claims 1-9, wherein the method further comprises:

When a Bluetooth connection with the rowing machine is detected, the rowing machine mode is automatically activated.
The method according to any one of claims 1-11, wherein the method further comprises:

The heart rate of this rowing machine exercise and the stroke frequency corresponding to the heart rate are used to update the mapping relationship between the heart rate and the stroke frequency.
An electronic device, comprising: a processor, a memory, and a transceiver, the memory is used to store instructions, the transceiver is used to communicate with other devices, and the processor is used to execute the instructions stored in the memory , So that the electronic device implements the recommended method of paddle frequency according to any one of claims 1 to 12.
A chip, characterized in that the chip comprises a programmable logic circuit and an input interface, the input interface is used to obtain the data to be processed, and the logic circuit is used to execute the data to be processed as in claims 1 to 12 Any one of the recommended methods of paddle frequency.
A computer-readable storage medium having instructions stored in the computer-readable storage medium, wherein when the instructions are executed on an electronic device, the electronic device executes any one of claims 1 to 12 The recommended method for the stroke frequency described in the item.
A program product, characterized in that the program product includes a computer program, the computer program is stored in a readable storage medium, and at least one processor of a communication device can read the computer program from the readable storage medium The execution of the computer program by the at least one processor causes the communication device to implement the method according to any one of claims 1-12.