CN117122885A

CN117122885A - Speed matching determining method and electronic equipment

Info

Publication number: CN117122885A
Application number: CN202310280901.XA
Authority: CN
Inventors: 常婧; 耿国强; 吴硕峰
Original assignee: Honor Device Co Ltd
Current assignee: Honor Device Co Ltd
Priority date: 2023-03-13
Filing date: 2023-03-13
Publication date: 2023-11-28

Abstract

The application discloses a speed distribution determining method and electronic equipment, relates to the field of terminals, and is used for determining a fat burning speed distribution interval of a user, and the user can achieve a fat burning effect according to running of the fat burning speed distribution interval, so that accurate fat reduction is achieved. The method comprises the following steps: acquiring a first characteristic heart rate, a target characteristic running speed, a user characteristic, a lactic acid threshold heart rate and a resting heart rate; determining the maximum oxygen uptake according to the user characteristics, the first characteristic heart rate, the resting heart rate and the target characteristic running speed; and determining a fat burning speed distribution interval according to the first characteristic heart rate, the resting heart rate, the lactic acid threshold heart rate and the maximum oxygen intake, wherein the fat burning speed distribution interval is an interval when a user achieves a fat burning effect in the running process. The first characteristic heart rate is the heart rate of the user when the user achieves the fat burning effect in the first running test process, the first running test process is a process that the heart rate gradually increases stage by stage, and the target characteristic running speed is the maximum value of the average running speed of the user in each stage of the first running test process.

Description

Speed matching determining method and electronic equipment

Technical Field

The present application relates to the field of terminals, and in particular, to a speed allocation determining method and an electronic device.

Background

The equipment with the exercise monitoring function has the functions of counting steps, measuring heart rate, measuring calories (Cal) and the like, can guide a user to reduce fat, and is deeply favored by body-building users.

Currently, equipment with exercise monitoring function mainly guides users to reduce fat by providing a wider fat burning heart rate interval, a current fat consumption ratio in exercise, fat burning calories and the like. However, these indexes cannot objectively and quantitatively feed back the fat burning efficiency of the user, so that the user cannot achieve accurate fat reduction.

Disclosure of Invention

The embodiment of the application provides a method for determining a fat mixing speed and electronic equipment, which are used for determining a fat mixing speed interval of a user, and the user can achieve the optimal fat burning effect according to running of the fat mixing speed interval, so that accurate fat reduction is achieved.

In order to achieve the above purpose, the embodiment of the present application adopts the following technical scheme:

in a first aspect, a method for determining a matching speed is provided, including: acquiring a first characteristic heart rate, a target characteristic running speed, a user characteristic, a lactic acid threshold heart rate (lactate threshold heart rate, LTHR) and a resting heart rate (resting heart rate, HR) _rest ) The method comprises the steps of carrying out a first treatment on the surface of the Determining the maximum oxygen uptake according to the user characteristics, the first characteristic heart rate, the resting heart rate and the target characteristic running speed; according to the first characteristic heart rate, resting heart rate, lactic acid threshold heart rate, maximum oxygen uptake (maximal oxygen consumption, VO) _2max ) And determining a fat burning speed distribution interval which is the speed distribution interval when the user achieves the fat burning effect in the running process by the first preset value. The first characteristic heart rate is the heart rate of the user reaching the fat burning effect in the first running test process, the first running test process is a process that the heart rate gradually increases gradually, the target characteristic running speed is the maximum value of the average running speed of the user in each stage of the first running test process, the lactic acid threshold heart rate is the heart rate corresponding to the situation that the increasing rate of the blood lactic acid of the user is at the inflection point, and the resting heart rate is the situation that the user is in a resting stateIs a heart rate of (c).

The speed matching determination method provided by the application is to obtain a speed matching interval when a user can achieve a fat burning effect according to a first characteristic heart rate when the user can achieve the fat burning effect, a lactic acid threshold heart rate for evaluating the aerobic endurance level of a human body, a resting heart rate for reflecting the single blood supply of the heart of the user, the maximum running speed (namely, target characteristic running speed) of the user and the characteristic data of the user. In the running process, the user can control the speed in the speed matching interval, so that more fat can be consumed, and the effect of accurately reducing fat can be achieved.

In one possible implementation manner, determining the fat burning speed interval according to the first characteristic heart rate, the resting heart rate, the lactic acid threshold heart rate, the maximum oxygen intake and the first preset value includes: determining a difference between the first characteristic heart rate and the resting heart rate as a target heart rate, the target heart rate being indicative of the load capacity of the heart; determining a fat burning running speed according to the resting heart rate, the lactic acid threshold heart rate, the target heart rate and the maximum oxygen uptake, wherein the fat burning running speed is used for indicating the optimal running speed when a user achieves a fat burning effect in the running process; determining a fuel oil mixing speed interval according to the fuel oil running speed, the second preset value A1 and the third preset value A2Wherein V is the fat burning running speed, A1 is more than 0 and less than 1, and A2 is more than 1.

In one possible embodiment, determining the fat burning rate according to the resting heart rate, the lactic acid threshold heart rate, the target heart rate, the maximum oxygen intake, and the first preset value includes: the following formula is adopted to determine the fat burning running speed V:

V＝B1+B2×HR _rest +B3×LTHR+B4×ΔHR+B5×VO _2max

wherein B1, B2, B3, B4 and B5 are constants; HR (HR) _rest Is resting heart rate; LTHR is lactate threshold heart rate; Δhr is the target heart rate; VO (VO) _2max Is the maximum oxygen uptake.

In one possible embodiment, after determining the fat burning rate, the method further comprises: based on the fat burning rate, and the user characteristics, a fat burning level is determined, which is used to evaluate the user's fat burning level.

The user characteristics may include the gender and age of the user. And comparing the fat burning running speeds of the users with the fat burning running speeds of the people in the same age range, and determining that the accuracy of the fat burning level of the users is higher.

In one possible embodiment, the acquiring the first characteristic heart rate includes: acquiring a plurality of first real-time heart rates of a user in a plurality of target phases in a first running test process, wherein the target phases are the phases with the maximum heart rate in the first running test process; determining an average value of the plurality of first real-time heart rates for each of the target phases as a second characteristic heart rate for each of the target phases; the average of all second characteristic heart rates is determined as the first characteristic heart rate.

During the first running test, the heart rate of the user is generally low during the warm-up phase, when insufficient to achieve a fat burning effect. In order to reduce the data processing amount and ensure the accuracy of the data, a plurality of first real-time heart rates of a plurality of stages with the maximum heart rate in the first running test process can be selected, and the first characteristic heart rate is determined.

In one possible embodiment, the acquiring the lactic acid threshold heart rate includes: acquiring a plurality of second real-time heart rates of the user during a second running test; a heart rate inflection point in the plurality of second real-time heart rates is determined as a lactate threshold heart rate. The lactic acid threshold heart rate obtained through the second running test process is high in accuracy.

The second running test process is a process of gradually increasing the running speed stage by stage; alternatively, the second running test procedure is a procedure in which the heart rate is gradually increased step by step, and is different from the first running test procedure.

In one possible embodiment, the acquiring the lactic acid threshold heart rate includes: the lactic acid threshold heart rate LTHR was obtained using the following formula:

LTHR＝(HR _max -HR _rest )×C+HR _rest

wherein HR is _max A maximum heart rate for the user;HR _rest a resting heart rate for the user; c is a constant greater than 0 and less than 1. The user's lactic acid threshold heart rate is related to the user's maximum heart rate and resting heart rate. The lactic acid threshold heart rate can be obtained quickly and efficiently through the formula.

In one possible implementation, the user features include: at least one of age, sex, weight, height, body mass index. The determining the maximum oxygen intake according to the user characteristic, the first characteristic heart rate, the resting heart rate and the target characteristic running speed comprises: the maximum oxygen uptake VO is determined by the following formula _2max ：

Wherein D1 is used to indicate the user characteristic; d2, D3, D4 and D5 are constants; HR (HR) _rest A resting heart rate for the user; speed of food _max Running speed for the target feature; HR (HR) _t Is the first characteristic heart rate.

As the running speed increases, the oxygen consumption (i.e., the oxygen uptake by the user) increases. In the application, the maximum oxygen uptake is determined, and the characteristics of the user are considered besides the running speed and the related heart rate of the user. Thus, the accuracy of the obtained maximum oxygen uptake is high.

In a second aspect, there is provided an electronic device comprising a processor, a memory, a heart rate sensor, an accelerometer sensor and a positioning sensor, the memory storing instructions which, when executed by the processor, perform a method according to the first aspect and any of its embodiments. The heart rate sensor is used for collecting heart rate, and the accelerometer sensor and the positioning sensor are used for collecting running speed.

In a third aspect, there is provided a computer readable storage medium comprising instructions which, when run on an electronic device, cause the electronic device to perform the method of the first aspect and any implementation thereof.

In a fourth aspect, there is provided a computer program product comprising instructions which, when run on an electronic device as described above, cause the electronic device to perform the method of the first aspect and any of its embodiments.

In a fifth aspect, a chip system is provided, the chip system comprising a processor for supporting an electronic device to implement the functions referred to in the first aspect above. In one possible design, the device may further include interface circuitry that may be used to receive signals from other devices (e.g., memory) or to send signals to other devices (e.g., communication interfaces). The system-on-chip may include a chip, and may also include other discrete devices.

The technical effects of the second to fifth aspects are referred to the technical effects of the first aspect and any of its embodiments and are not repeated here.

Drawings

Fig. 1 is a schematic structural diagram of a system to which a speed matching determination method according to an embodiment of the present application is applicable;

fig. 2 is a schematic structural diagram of a first electronic device according to an embodiment of the present application;

fig. 3 is a schematic diagram of a software architecture of a first electronic device according to an embodiment of the present application;

fig. 4 is a schematic structural diagram of a second electronic device according to an embodiment of the present application;

FIG. 5 is a graph showing predicted values of total energy consumption versus time for fat consumption according to the prior art;

fig. 6 is a schematic diagram of an overall framework of a speed matching determination method according to an embodiment of the present application;

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

fig. 8 is a flow chart of a speed matching determination method according to an embodiment of the present application;

FIG. 9 is a schematic diagram of an interface of a first electronic device according to an embodiment of the present application;

FIG. 10 is a second schematic diagram of an interface of a second electronic device according to an embodiment of the present application;

FIG. 11 is a third diagram illustrating an interface of a second electronic device according to an embodiment of the present application;

FIG. 12 is a fourth schematic diagram of an interface of a second electronic device according to an embodiment of the present application;

FIG. 13 is a graph showing the relationship between exercise intensity and blood lactic acid content and heart rate according to the embodiment of the present application;

FIG. 14 is a graph showing the relationship between exercise intensity and fat oxidation rate according to the embodiment of the present application;

FIG. 15 is a schematic diagram showing a relationship between a measured fuel fat running speed and a predicted fuel fat running speed according to an embodiment of the present application;

FIG. 16 is a graph showing the relationship between the running speed and the fat oxidation level;

FIG. 17 is a schematic diagram of a running sample data distribution according to an embodiment of the present application;

FIG. 18 is a second schematic diagram of an interface of a first electronic device according to an embodiment of the present application;

FIG. 19 is a third diagram illustrating an interface of a first electronic device according to an embodiment of the present application;

fig. 20 is an application schematic diagram of a speed matching determination method according to an embodiment of the present application;

fig. 21 is a schematic structural diagram of a chip system according to an embodiment of the present application.

Detailed Description

The terms "first," "second," and the like, in accordance with embodiments of the present application, are used solely for the purpose of distinguishing between similar features and not necessarily for the purpose of indicating a relative importance, number, sequence, or the like.

The terms "exemplary" or "such as" and the like, as used in relation to embodiments of the present application, are used to denote examples, illustrations, or descriptions. Any embodiment or design described herein as "exemplary" or "for example" should not be construed as preferred or advantageous over other embodiments or designs. Rather, the use of words such as "exemplary" or "such as" is intended to present related concepts in a concrete fashion.

The terms "coupled" and "connected" in accordance with embodiments of the application are to be construed broadly, and may refer, for example, to a physical direct connection, or to an indirect connection via electronic devices, such as, for example, electrical resistance, inductance, capacitance, or other electrical devices.

Some concepts to which the present application relates will be described first.

Speed (space), which is equal to time divided by distance, is used to represent the time required to run 1 km (or 1 mile) per run, and is used to account for the speed. The rate of match may be expressed in units of time. For example, when a person runs 10 km for 1 hour and 5 minutes, the matching speed is 6 minutes and 30 seconds, and the unit may be omitted, which is indicated as 630.

The embodiment of the application provides a speed allocation determining method which can be applied to a system shown in fig. 1. As shown in fig. 1, the system may include a first electronic device 101 and a second electronic device 102, where the first electronic device 101 and the second electronic device 102 may communicate data via wireless communication (e.g., bluetooth communication). The second electronic device 102 is used to monitor data related to exercise and to the user's physical health (e.g. heart rate, running speed, pace, etc.) and to send this data to the first electronic device 101. The first electronic device 101 may send control instructions, user features, etc. to the second electronic device 102, where the second electronic device 102 performs corresponding operations (e.g., changing the wallpaper of the screen of the second electronic device 102) according to the control instructions.

The first electronic device according to the embodiment of the present application may be a device with a communication function, and the first electronic device may be mobile or fixed. The first electronic device may be deployed on land (e.g., indoor or outdoor, hand-held or vehicle-mounted, etc.), on water (e.g., ship, etc.), or in the air (e.g., aircraft, balloon, etc.). The first electronic device may be referred to as a User Equipment (UE), an access terminal, a terminal unit, a subscriber unit (subscriber unit), a terminal station, a Mobile Station (MS), a mobile station, a terminal agent, a terminal device, or the like. For example, the first electronic device may be a mobile phone, a tablet computer, a notebook computer, or the like. The embodiment of the application is not limited to the specific type, structure and the like of the first electronic equipment. One possible structure of the first electronic device is described below.

Taking the first electronic device as an example of a mobile phone, fig. 2 shows one possible structure of the first electronic device 200. The first electronic device 200 may include: processor 210, external memory interface 220, internal memory 221, universal serial bus (universal serial bus, USB) interface 230, power management module 240, battery 241, wireless charging coil 242, antenna 1, antenna 2, mobile communication module 250, wireless communication module 260, audio module 270, speaker 270A, receiver 270B, microphone 270C, headset interface 270D, sensor module 280, keys 290, motor 291, indicator 292, camera 293, display 294, and subscriber identity module (subscriber identification module, SIM) card interface 295, etc.

The sensor module 280 may include, among other things, a pressure sensor, a gyroscope sensor, a barometric pressure sensor, a magnetic sensor, an acceleration sensor, a distance sensor, a proximity sensor, a fingerprint sensor, a temperature sensor, a touch sensor, an ambient light sensor, a bone conduction sensor, and the like.

It should be understood that the structure illustrated in the embodiment of the present application does not constitute a specific limitation on the first electronic device 200. In other embodiments of the application, the first electronic device 200 may include more or fewer components than shown, or certain components may be combined, or certain components may be split, or different arrangements of components. The illustrated components may be implemented in hardware, software, or a combination of software and hardware.

Processor 210 may include one or more processing units such as, for example: the processor 210 may be a field programmable gate array (field programmable gate array, FPGA), an application specific integrated circuit (application specific integrated circuit, ASIC), a system on chip (SoC), a central processing unit (central processing unit, CPU), an application processor (application processor, AP), a network processor (network processor, NP), a digital signal processor (digital signal processor, DSP), a micro control unit (micro controller unit, MCU), a programmable logic device (programmable logic device, PLD), a modem processor, a graphics processor (graphics processing unit, GPU), an image signal processor (image signal processor, ISP), a controller, a video codec, a baseband processor, and a neural network processor (neural-network processing unit, NPU), etc. Wherein the different processing units may be separate devices or may be integrated in one or more processors. For example, the processor 210 may be an application processor AP. Alternatively, the processor 210 may be integrated in a system on chip (SoC). Alternatively, the processor 210 may be integrated in an integrated circuit (integrated circuit, IC) chip. The processor 210 may include an Analog Front End (AFE) and a micro-controller unit (MCU) in an IC chip.

The controller may be a neural hub and a command center of the first electronic device 200. The controller can generate operation control signals according to the instruction operation codes and the time sequence signals to finish the control of instruction fetching and instruction execution.

A memory may also be provided in the processor 210 for storing instructions and data. In some embodiments, the memory in the processor 210 is a cache memory. The memory may hold instructions or data that the processor 210 has just used or recycled. If the processor 210 needs to reuse the instruction or data, it may be called directly from the memory. Repeated accesses are avoided and the latency of the processor 210 is reduced, thereby improving the efficiency of the system.

In some embodiments, processor 210 may include one or more interfaces. The interfaces may 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, a universal asynchronous receiver transmitter (universal asynchronous receiver/transmitter, UART) interface, a mobile industry processor interface (mobile industry processor interface, MIPI), a general-purpose input/output (GPIO) interface, a subscriber identity module (subscriber identity module, SIM) interface, and/or a USB interface, among others.

It should be understood that the connection relationship between the modules illustrated in the embodiment of the present application is only schematically illustrated, and does not limit the structure of the first electronic device 200. In other embodiments of the present application, the first electronic device 200 may also use different interfacing manners, or a combination of multiple interfacing manners, as in the above embodiments.

The power management module 240 is configured to receive a charging input from a charger. The charger may be a wireless charger (such as a wireless charging base of the first electronic device 200 or other devices capable of wirelessly charging the first electronic device 200), or may be a wired charger. For example, the power management module 240 may receive a charging input of a wired charger through the USB interface 230. The power management module 240 may receive a wireless charging input through a wireless charging coil 242 of the first electronic device.

The power management module 240 may also supply power to the first electronic device while charging the battery 241. The power management module 240 receives input from the battery 241 to power the processor 210, the internal memory 221, the external memory interface 220, the display 294, the camera 293, the wireless communication module 260, and the like. The power management module 240 may also be configured to monitor parameters of the battery 241 such as battery capacity, battery cycle times, battery health (leakage, impedance), etc. In other embodiments, the power management module 240 may also be disposed in the processor 210.

The wireless communication function of the first electronic device 200 may be implemented by the antenna 1, the antenna 2, the mobile communication module 250, the wireless communication module 260, a modem processor, a baseband processor, and the like.

The antennas 1 and 2 are used for transmitting and receiving electromagnetic wave signals. Each antenna in the first electronic device 200 may be used to cover a single or multiple communication bands. Different antennas may also be multiplexed to improve the utilization of the antennas. For example: the antenna 1 may be multiplexed into a diversity antenna of a wireless local area network. In other embodiments, the antenna may be used in conjunction with a tuning switch.

The mobile communication module 250 may provide a solution for wireless communication including 2G/3G/4G/5G or the like for use on the first electronic device 200. The wireless communication module 260 may provide solutions for wireless communication including wireless local area network (wireless local area networks, WLAN) (e.g., wireless fidelity (wireless fidelity, wi-Fi) network), bluetooth (BT), frequency modulation (frequency modulation, FM), near field wireless communication technology (near field communication, NFC), infrared technology (IR), etc., applied on the first electronic device 200. In some embodiments, antenna 1 and mobile communication module 250 of first electronic device 200 are coupled, and antenna 2 and wireless communication module 260 are coupled, such that first electronic device 200 may communicate with a network and other devices through wireless communication techniques.

The first electronic device 200 implements display functions through a GPU, a display screen 294, an application processor, and the like. The GPU is a microprocessor for image processing, and is connected to the display screen 294 and the application processor. The GPU is used to perform mathematical and geometric calculations for graphics rendering. Processor 210 may include one or more GPUs that execute program instructions to generate or change display information.

The display 294 is used to display images, videos, and the like. The display 294 includes a display panel. In some embodiments, the first electronic device 200 may include 1 or N display screens 294, N being a positive integer greater than 1.

The first electronic device 200 may implement a photographing function through an ISP, a camera 293, a video codec, a GPU, a display 294, an application processor, and the like. The ISP is used to process the data fed back by the camera 293. In some embodiments, the ISP may be provided in the camera 293. The camera 293 is used to capture still images or video. In some embodiments, the first electronic device may include 1 or N cameras 293, N being a positive integer greater than 1. Exemplary cameras of embodiments of the present application include a wide angle camera and a main camera.

The external memory interface 220 may be used to connect an external memory card, such as a Micro SanDisk (Micro SD) card, to enable expansion of the memory capabilities of the first electronic device 200. The external memory card communicates with the processor 210 through an external memory interface 220 to implement data storage functions. For example, files such as music, video, etc. are stored in an external memory card.

Internal memory 221 may be used to store computer executable program code that includes instructions. The processor 210 executes various functional applications of the first electronic device 200 and data processing by executing instructions stored in the internal memory 221. In addition, the internal memory 221 may include a high-speed random access memory, and may further include a nonvolatile memory such as at least one magnetic disk storage device, a flash memory device, a universal flash memory (universal flash storage, UFS), and the like.

The memory to which embodiments of the present application relate may be volatile memory or nonvolatile memory, or may include both volatile and nonvolatile memory. The nonvolatile memory may be a read-only memory (ROM), a Programmable ROM (PROM), an Erasable PROM (EPROM), an electrically Erasable EPROM (EEPROM), or a flash memory. The volatile memory may be random access memory (random access memory, RAM) which acts as an external cache. By way of example, and not limitation, many forms of RAM are available, such as Static RAM (SRAM), dynamic RAM (DRAM), synchronous DRAM (SDRAM), double data rate SDRAM (DDR SDRAM), enhanced SDRAM (ESDRAM), synchronous DRAM (SLDRAM), and direct memory bus RAM (DR RAM). It should be noted that the memory of the systems and methods described herein is intended to comprise, without being limited to, these and any other suitable types of memory.

The first electronic device 200 may implement audio functions through an audio module 270, a speaker 270A, a receiver 270B, a microphone 270C, an earphone interface 270D, an application processor, and the like. Such as music playing, recording, etc.

The audio module 270 is used to convert digital audio information into an analog audio signal output and also to convert an analog audio input into a digital audio signal. In some embodiments, the audio module 270 may be disposed in the processor 210, or some functional modules of the audio module 270 may be disposed in the processor 210. Speaker 270A, also referred to as a "horn," is used to convert audio electrical signals into sound signals. A receiver 270B, also referred to as a "earpiece", is used to convert the audio electrical signal into a sound signal. Microphone 270C, also referred to as a "microphone" or "microphone," is used to convert sound signals into electrical signals. The first electronic device 200 may be provided with at least one microphone 270C. The earphone interface 270D is for connecting a wired earphone. Earphone interface 270D may be USB interface 230 or a 3.5mm open mobile terminal platform (open mobile terminal platform, OMTP) standard interface, american cellular telecommunications industry association (cellular telecommunications industry association of the USA, CTIA) standard interface.

Keys 290 include a power on key, a volume key, etc. The keys 290 may be mechanical keys. Or may be a touch key. The first electronic device 200 may receive key inputs, generating key signal inputs related to user settings and function controls of the first electronic device 200. The motor 291 may generate a vibration alert. The motor 291 may be used for incoming call vibration alerting or for touch vibration feedback. The indicator 292 may be an indicator light, which may be used to indicate a state of charge, a change in power, or an indication message, missed call, notification, etc. The SIM card interface 295 is for interfacing with a SIM card. The SIM card may be inserted into the SIM card interface 295 or removed from the SIM card interface 295 to enable contact and separation from the first electronic device 200. The first electronic device 200 may support 1 or N SIM card interfaces, N being a positive integer greater than 1. The SIM card interface 295 may support a Nano SIN (Nano SIM) card, micro SIM (Micro SIM) card, SIM card, etc. In some embodiments, the first electronic device 200 employs an embedded SIM (eSIM) card, which may be embedded in the first electronic device 200, and not separable from the first electronic device 200.

The processor 210 executes the internal memory 221 to execute the speed matching determination method provided by the embodiment of the present application. The programs run by the processor 210 may be based on an operating system, such as Android (Android)Apple (iOS)/(apple)>Windows (Windows) operating system, etc. As shown in fig. 3, the program running with the processor 210 is based on android +.>For example, programs run by processor 210 are layered by function and may include an application layer, a framework layer, and a kernel layer.

The application layer may include an athletic health application. The athletic health application is used to store athletic data, physical health data, and related data of the user's characteristics (e.g., at least one of age, gender, weight, height, body mass index), etc. The athletic health application is also used to provide athletic-related lessons to the user for reference learning by the user.

The framework layer is used to provide system resource services, application programming interfaces (application programming interface, APIs), to applications in the application layer (e.g., sports health applications). For example, the framework layer may provide a communication API to the sports health application of the application layer.

The kernel layer includes an Operating System (OS) kernel. The operating system kernel is used for managing the processes, the memory, the driving program, the file system and the network system of the system.

The second electronic device 102 according to the embodiment of the present application may be a terminal device with simpler functions and configuration than the first electronic device 101. For example, the second electronic device 102 may be a sports wristband, sports watch, or the like having a sports monitoring function.

As shown in fig. 4, the second electronic device 102 may include: processor 401, memory 402, communication interface 403, heart rate sensor 404, positioning sensor 405, accelerometer sensor 406, speaker 407, and display 408, among others.

The processor 401 executes the speed allocation determining method provided by the embodiment of the present application by executing the program and the instructions stored in the memory 402.

The communication interface 403 uses any transceiver-like means for communicating with the first electronic device and other devices, for example bluetooth communication.

The heart rate sensor 404 is used to collect the resting heart rate (resting heart rate, HR) of the user while in rest _rest ) And the real-time heart rate of the user during exercise.

The positioning sensor 405 is used to determine a motion trajectory (or a motion distance) of the user. For example, the positioning sensor 405 may include a global positioning system (global positioning system, GPS) sensor, a beidou positioning sensor, or the like.

Accelerometer sensor 406 is used to determine the direction of movement and acceleration of the user, etc. The positioning sensor 405 and the accelerometer sensor 406 are used together to collect running speed, so that accuracy of running speed can be ensured.

The speaker 407 is used to give a prompt message or the like to the user. For example, speaker 407 may report to the user the current heart rate, the current running speed, the current distance moved, and so on.

The display 408 is used to display time, date, exercise related, and user health related items of data.

How to accurately reduce fat is one of the important points of attention of the sports health industry. In the prior art, the second electronic device mainly guides the user to perform exercise in the following two ways, or evaluates the exercise effect of the user.

In one approach, the second electronic device provides the user with a relatively broad running heart rate interval (e.g., 115 Beats Per Minute (BPM) -154 BPM) to guide the user in running. That is, during running, the user may keep the heart rate within the running heart rate interval. However, the running heart rate interval is too wide, and only the running of the user can be guided, but the accurate fat reduction of the user cannot be guided.

In another way, the second electronic device evaluates the exercise effect of the user by calculating a predicted value of the fat consumption accounting for the total energy consumption in the running scene. However, this approach suffers from the following disadvantages: in the first aspect, as shown in fig. 5, the difference between the predicted value of fat consumption and the measured value of fat consumption is larger, i.e. the accuracy of the predicted value of fat consumption and total energy consumption is lower; in a second aspect, based on the predicted value of fat consumption to account for total energy consumption, it is possible to determine how much fat the user consumes, but it is not possible to instruct the user how to run to consume more fat; in a third aspect, the predicted value of fat consumption versus total energy consumption does not characterize the physical state of the user during running, and therefore, evaluating the motor effect of the user by the predicted value of fat consumption versus total energy consumption has no reference and comparative significance.

As can be seen from the above, in the prior art, the second electronic device cannot objectively and quantitatively feed back the fat burning efficiency of the user. Therefore, the second electronic device in the prior art cannot guide the user to perform accurate fat reduction.

Based on the above-mentioned problems, an embodiment of the present application provides a method for determining a matching speed, as shown in fig. 6, in a running test process (i.e., a first running test process referred to below) in which a user wears a second electronic device as shown in fig. 4, the second electronic device determines, according to a first characteristic heart rate when the user achieves a fat burning effect, a resting heart rate, a lactic acid threshold heart rate (lactate threshold heart rate, LTHR), a maximum oxygen intake (maximal oxygen consumption, VO _2max ) The optimal running speed when the user achieves the fat burning effect in the running process is determined, the optimal running speed can represent the fat burning efficiency of the user, and the speed distribution interval when the user achieves the fat burning effect in the running process and the fat burning level of the user are further determined according to the optimal running speed. In the running process, the user can control the speed in the speed matching interval, so that more fat can be consumed, and the effects of accurate and efficient fat reduction can be achieved. From this fat level, the user can determine his own fat level. The second electronic device may also And sending the data such as the optimal running speed, the speed matching interval, the fat burning level, the heart rates and the like to the first electronic equipment. The first electronic device is used for storing data such as optimal running speed, speed matching interval, fat burning level, heart rates and the like, and can recommend fat reduction courses suitable for users to users according to the speed matching interval. The first electronic device is also used for generating a fat burning effect trend chart according to the new fat burning running speed obtained at regular intervals and the weight of the user. According to the fat burning effect trend chart, a user can intuitively know the state of the user.

Illustratively, assume that the second electronic device is a sports watch. As shown in fig. 7 a and B, there are displayed on the display screen of the sports watch a fat burning running speed 701 (i.e., the optimal running speed when the user achieves a fat burning effect during running), a fat burning level 702, a fat burning dispensing speed interval 703 (i.e., the dispensing speed interval when the user achieves a fat burning effect during running), and a lactic acid threshold heart rate 704 of the user.

Specifically, as shown in fig. 8, the method for determining the matching speed provided by the embodiment of the application may include:

s801, the second electronic device acquires the user characteristic, the first characteristic heart rate, the target characteristic running speed, the lactic acid threshold heart rate and the resting heart rate.

The user features related to the embodiment of the application can include: at least one of age, sex, weight, height, body Mass Index (BMI) of the user. The second electronic device may obtain the user characteristics in the following two ways, which are described briefly below.

In the first manner, after the first electronic device is connected to the second electronic device, the second electronic device may obtain the user feature from the first electronic device and store the user feature.

Specifically, the first electronic device is provided with an exercise health application, and the user can input information such as age, gender, weight, height and the like in the exercise health application. The sports health application of the first electronic device may calculate a body mass index of the user based on the weight and height entered by the user.

Illustratively, the first electronic device is assumed to be a cell phone. As shown in fig. 9 a, the handset displays a personal profile interface 901 for sports health applications. The profile interface 901 includes: a gender selection control 902, a birthday edit box 903, a height edit box 904, and a weight edit box 905. In response to the user clicking on the gender selection control 902, as shown in fig. 9B, the sports health application in the cell phone may obtain the user's gender. In response to the user's input operation in the birthday edit box 903, as shown in fig. 9B, the sports health application in the mobile phone may acquire the age of the user. In response to the user's input operation in the height edit box 904, as shown in FIG. 9B, the sports health application in the cell phone may obtain the user's height. In response to the user's input operation in the weight edit box 905, as shown in fig. 9B, the sports health application in the mobile phone can acquire the user's weight. As shown in fig. 9C, the sports health application in the mobile phone acquires the body mass index BMI of the user according to the following formula (1), and the acquired height and weight.

Wherein height is the height of the user, usually in meters; weight is the weight of the user, typically in kilograms.

Alternatively, the sports health application may also automatically obtain the weight of the user from other applications in the first electronic device. Alternatively, when the user performs weighing through a weighing device (such as a body fat scale) connected to the first electronic device, the exercise health application may automatically obtain the weight of the user through the weighing device, but not limited thereto, which is not limited thereto by the embodiment of the present application.

Of course, the information of the age, sex, height and the like of the user may be automatically acquired from other applications in the first electronic device, and the like.

In a second way, the user may enter the user feature directly in the second electronic device.

For example, assume that the second electronic device is a sports watch. As shown in fig. 10 a, the sports watch may include a personal information setting interface 1001. The personal information setting interface 1001 includes: gender selection control 1002, age selection control 1003, height selection control 1004, weight selection control 1005, and determination button 1006. In response to the user clicking on the gender selection control 1002, as shown in fig. 10B, the personal information settings interface 1001 may display a gender option. Responsive to a user selection operation of the gender option, the sports watch determines the gender of the user. The process of determining the age, height and weight of the user by the sports watch is the same as the process of determining the sex of the user, and will not be described again. In response to the user clicking the ok button 1006, the sports watch may acquire information of the user's sex, age, height, and weight, etc., and the sports watch may determine the body mass index of the user according to the above formula (1), as well as the user's height and weight.

The first characteristic heart rate related to the embodiment of the application is the heart rate of a user when the user achieves the fat burning effect in the first running test process. The first running test procedure may be a procedure in which the heart rate is increased from stage to stage (alternatively referred to as a medium and low intensity outdoor running test procedure). The target feature running speed according to the embodiment of the present application may be the maximum value of the average running speed of the user at each stage of the first running test process.

By way of example, the first running test process may include three phases, respectively: the first phase, lasting 5 minutes, maintains the heart rate at the user's maximum heart rate HR _max Between 45% and 55%; the second phase, lasting 3 minutes, maintains the heart rate at the user's maximum heart rate HR _max Between 56% and 65%; the third phase, lasting 3 minutes, maintains the heart rate at the user's maximum heart rate HR _max Between 66% and 75%.

Maximum heart rate HR of user _max Related to the age of the user. Specifically, the second electronic device may calculate the maximum heart rate HR of the user using the following equation (2) _max ：

HR _max ＝F1-F2×age (2)

Where F1, F2 are constants (e.g., f1=208, f2=0.7), and age is the age of the user.

For example, assuming that the user's age is 25 years, the user's maximum heart rate HR _max 190BPM. Then, the heart rate in the first stage of the first running test process needs to be maintained at 86BPM-105BPM, the heart rate in the second stage needs to be maintained at 106BPM-124BPM, and the heart rate in the third stage needs to be maintained at 125BPM-143BPM.

Optionally, in the process of acquiring the first characteristic heart rate by the second electronic device: firstly, the second electronic device acquires a plurality of first real-time heart rates of a plurality of target phases of a user in a first running test process through a heart rate sensor, wherein the plurality of target phases are a plurality of phases with the largest heart rate (for example, when the first running test process comprises the three phases, the target phases can comprise the second phase and the third phase); then, the second electronic device determines an average value of the plurality of first real-time heart rates of each target phase as a second characteristic heart rate of each target phase; finally, the second electronic device determines an average of all second characteristic heart rates as the first characteristic heart rate.

Specifically, the plurality of first real-time heart rates for each target phase may be real-time heart rates for a preset period of time for each target phase. The preset period may be a period in which the exercise intensity in each target phase tends to be stable, and thus, an average value of the real-time heart rate of the preset period for each target phase can represent the heart rate of each target phase.

The positioning sensor determines the position by communicating with the satellite, and therefore, when the satellite signal is weak or no satellite signal, the positioning sensor does not accurately or cannot position. Therefore, when determining the characteristic running speed of the user at each stage of the first running test process, the second electronic device needs to be determined together according to the movement track collected by the positioning sensor, the acceleration collected by the accelerometer sensor, the movement direction and the like. In this way, the accuracy of the characteristic running speed of the user at each stage in the first running test process can be ensured.

During the first running test, the user may wear the second electronic device to perform the running test outdoors. Illustratively, assuming the second electronic device is a sports watch, the first running test procedure is assumed to include the 3 phases described above. As shown in FIG. 11, the exercise item interface 1101 of the athletic watch may display a plurality of exercise items (e.g., running indoors, running outdoors, swimming indoors, and walking indoors), each of which is provided with a setup control 1102 corresponding to the right side. In response to the user clicking on the setting control corresponding to outdoor running, the athletic watch jumps from exercise item interface 1101 to setting interface 1103 for outdoor running, as shown in FIG. 11B. The setup interface 1103 for outdoor running may display a fat burning running test control, a running schedule control, and a speed matching running control. In response to the user clicking on the fat burning run test control, the athletic watch jumps from the setup interface 1103 for outdoor running to the fat burning run test interface 1104, as shown in FIG. 11C. The fat burning running test interface 1104 displays the user's age, height and weight, the user's requirements at various stages of the first running test session (first stage: 5 minutes, heart rate 86BPM-105BPM, second stage: 3 minutes, heart rate 106BPM-124BPM, third stage: 3 minutes, heart rate 125BPM-143 BPM), and start test control 1105. After the user has made preparation before testing and determined that the user's age, height, and weight are correct, the start test control may be clicked and running started. In response to the user clicking on start test control 1105, the sports watch captures the user's real-time heart rate during the first running test via the heart rate sensor and captures the user's real-time running speed (or real-time pace) during the first running test via the positioning sensor and the accelerometer sensor. In response to the user clicking on the start test control 1105, in conjunction with C in FIG. 11, the athletic watch jumps from the fat burning running test interface 1104 to the real-time test interface 1201 as shown in FIG. 12. The real-time test interface 1201 includes a real-time heart rate of the user during the first running test and a real-time pace of the user during the first running test.

The sports watch may obtain the second characteristic heart rate of the second phase according to an average value of the plurality of first real-time heart rates in the middle 90 seconds of the second phase, and the sports watch may obtain the second characteristic heart rate of the third phase according to an average value of the plurality of first real-time heart rates in the middle 90 seconds of the third phase. Then, the sports watch obtains the first characteristic heart rate according to the second characteristic heart rate of the second stage and the average value of the second characteristic heart rate of the third stage.

The sports watch may determine an average running speed of the first phase based on the time spent in the first phase, the motion trajectory, the acceleration, etc., determine an average running speed of the second phase based on the time spent in the second phase, the motion trajectory, the acceleration, etc., and determine an average running speed of the third phase based on the time spent in the third phase, the motion trajectory, the acceleration, etc. The sports watch then determines the maximum value of the average speed of the three phases as the target characteristic running speed.

If an error occurs in any of the age, height, and weight of the user displayed in the fat burning running test interface 1104, the second electronic device may retrieve the user characteristics in the following two ways.

In a first approach, the second electronic device may reacquire the user characteristics in response to a modification operation by the user directly on the second electronic device.

Illustratively, as shown in FIG. 11, the user may click a back button 1106 on the side of the sports watch. In response to the user clicking the back button 1106, the sports watch may jump from the running test interface 1104 to the personal information setting interface 1001 shown in fig. 10. The sports watch reacquires the user characteristics in response to the user's operation to reenter personal information at the personal information setting interface 1001.

In a second manner, the first electronic device may retrieve the user characteristics in response to a user modification operation in the sports health application, and send the modified user characteristics to the second electronic device.

The lactic acid threshold heart rate related to the embodiment of the application can be the heart rate corresponding to the time when the increasing rate of blood lactic acid of the user has an inflection point. The second electronic device may obtain the user's lactate threshold heart rate in the following two ways.

In a first approach, the user may perform a lactate threshold running test (i.e., a second running test session) by wearing a second electronic device to obtain a lactate threshold heart rate. Specifically, during the process of wearing the second electronic device to perform the lactic acid threshold running test by the user: firstly, the second electronic equipment acquires a plurality of second real-time heart rates of the user; the second electronic device then determines a heart rate inflection point in the plurality of second real-time heart rates as the user's lactic acid threshold heart rate.

The second running test process is a process of increasing the running speed step by step, or the second running test process is a process of increasing the heart rate step by step, and the second running test process is different from the first running test process.

In one embodiment, the second running test process is a running speed step-by-step increasing process, which may include five steps of: the first stage lasts for 3 minutes, and the running speed is 4km/h; the second stage lasts for 3 minutes, and the running speed is 5.5km/h; the third stage lasts for 3 minutes, and the running speed is 7km/h; the third stage lasts for 3 minutes, the running speed is 8.5km/h, and the fifth stage lasts for 3 minutes, and the running speed is 10km/h.

It should be noted that, the second running test process is a limit test, and due to the influence of factors such as individual differences, when the second running test process is a process in which the running speed increases gradually, the running speeds of different users in different stages may be different.

In another embodiment, the second running test procedure is a step-by-step increasing heart rate procedure, which may include six steps of: the first phase, lasting 3 minutes, maintains the heart rate at the user's maximum heart rate HR _max Between 60% and 70%; the second phase, lasting 3 minutes, maintains the heart rate at the user's maximum heart rate HR _max Between 70% and 80%; the third phase, lasting 3 minutes, maintains the heart rate at the user's maximum heart rate HR _max 80% -85%; a fourth phase, lasting 3 minutes, the heart rate being maintained at the maximum heart rate HR of the user _max Between 85% and 90%; a fifth phase, lasting 3 minutes, the heart rate being maintained at the maximum heart rate HR of the user _max Between 90% and 95%; a sixth phase, lasting 3 minutes, the heart rate being maintained at the maximum heart rate HR of the user _max Between 95% and 100%.

Blood lactic acid in the human body starts to accumulate with the increase of running speed, and the heart rate also rises. As shown in fig. 13, at the beginning, after the running speed increases, the blood lactic acid increases more gradually, and the heart rate increases more gradually; when the running speed exceeds the threshold value, the running speed increases in a small amplitude, so that the increasing rate of the blood lactic acid is greatly increased, namely, the increasing rate of the blood lactic acid is inflection point. At this time, the rate of increase of the heart rate is slightly decreased, i.e., the rate of increase of the heart rate also shows an inflection point. Thus, the lactic acid threshold heart rate of the user can be obtained and the accuracy is high through the second running test process.

It should be noted that the second running test process is performed before the first running test process. The lactate threshold heart rate obtained through the second running test procedure may be stored in the second electronic device. When the second electronic device obtains a new lactate threshold heart rate, the previous lactate threshold heart rate may be overridden.

In a second way, the lactic acid threshold heart rate is related to the maximum heart rate of the user, and the resting heart rate, and therefore the second electronic device can also calculate the lactic acid threshold heart rate LTHR of the user by the following equation (3):

LTHR＝(HR _max -HR _rest )×C+HR _rest (3)

wherein HR is _max For the maximum heart rate of the user, it can be determined by the above formula (2); HR (HR) _rest The resting heart rate of the user can be the heart rate acquired by the second electronic device when the user is in a resting state; c is a constant greater than 0 and less than 1 (e.g., c=0.85). The lactic acid threshold heart rate can be obtained quickly and efficiently by the above formula (3).

S802, the second electronic equipment determines the maximum oxygen uptake according to the user characteristics, the first characteristic heart rate, the resting heart rate and the target characteristic running speed.

The higher the maximum oxygen uptake, the more efficient the user is in providing energy during exercise, i.e. the better the user's athletic performance.

Alternatively, the second electronic device may calculate the maximum oxygen uptake VO of the user by the following formula (4) _2max ：

Wherein D1 is used to indicate a user characteristic; d2, D3, D4 and D5 are constants; HR (HR) _rest A resting heart rate for the user; speed of food _max Running speed is the target characteristic; HR (HR) _t Is the first characteristic heart rate.

In one embodiment, assume that the user characteristics include: the age, sex, weight, height, and body mass index of the user, the above D1 can be expressed by the following formula (5):

Wherein E1, E2, E3, E4, E5, E6, E7, E8, E9, E10, E11, E12, E13, E14, E15, E16, E17, E18, E19, E20 are constants; age is the age of the user; g is the sex of the user, g=g1 when the user is male, g=g2 when the user is female; height is the height of the user; weight is the weight of the user; BMI is the body mass index of the user; q ₁ Is the product of the gender and age of the user, q when the user is male ₁ =q1, when the user is female, Q ₁ ＝Q2；m ₁ Is the product of the sex and the height of the user, and when the user is male, m ₁ When the user is female, m=m1 ₁ ＝M2；n ₁ Is the product of the sex and the weight of the user, and when the user is male, n is as follows ₁ When the user is female, n=n1 ₁ ＝N2；z ₁ Is the product of the age and the height of the user; b ₁ Is the product of the age and the weight of the user; y is ₁ Is the product of the height and the weight of the user; q ₂ Is the quotient of the sex and the age of the user, q when the user is male ₂ =q3, when the user is female, Q ₂ ＝Q4；m ₂ Is the quotient of the sex and the height of the user, and when the user is male, m ₂ When the user is female, m=m3 ₂ ＝M4；n ₂ For the quotient of the sex and the weight of the user, whenWhen the user is male, n ₂ When the user is female, =n3, N ₂ ＝N4；y ₂ Is the quotient of the age and the height of the user; z ₂ Is the quotient of the age and the weight of the user; b ₂ Is the quotient of the height and the weight of the user.

The values G1, G2, Q1, Q2, Q3, Q4, M1, M2, M3, M4, N1, N2, N3, and N4 are constants.

S803, the second electronic device determines a fat burning speed interval according to the first characteristic heart rate, the resting heart rate, the lactic acid threshold heart rate, the maximum oxygen uptake and the first preset value.

The fat burning speed distribution interval is a speed distribution interval when a user achieves a fat burning effect in the running process. The user runs according to the fat burning speed distribution interval, so that the optimal fat burning effect can be achieved, and the accurate fat reduction is achieved.

As shown in fig. 14, in the first exercise stage, the fat oxidation rate increases with the increase of exercise intensity (e.g., running speed, matching speed interval), and in the second exercise stage, the fat oxidation rate decreases with the increase of exercise intensity. Therefore, in order to maximize the fat oxidation rate, it is necessary for the user to maintain the optimal exercise intensity. The fat burning efficiency of the user is positively related to the fat oxidation rate of the user, that is, the fat burning effect of the user can be best when the fat burning speed of the user is kept within the fat burning speed range during running.

Optionally, in the process of determining the fat burning speed interval by the second electronic device: first, the second electronic device determines a difference between the first characteristic heart rate and the resting heart rate as a target heart rate; then, the second electronic equipment determines the fat burning running speed according to the resting heart rate, the lactic acid threshold heart rate, the target heart rate, the maximum oxygen uptake and the first preset value; finally, the second electronic equipment determines a fuel oil mixing speed interval according to the fuel oil running speed, the second preset value A1 and the third preset value A2

Wherein V is the fat burning rate, A1 is greater than 0 and less than 1, and A2 is greater than 1 (e.g., a1=0.95, a2=1.05). The target heart rate may be used to indicate the load capacity of the heart. Within a certain range, a larger target heart rate indicates a stronger cardiac loading capacity of the user, i.e. a stronger exercise capacity of the user. The fat burning rate may be used to indicate the optimal running rate for the user to achieve the fat burning effect during running. The value of the fat burning rate may be used to indicate the fat burning efficiency.

Alternatively, the second electronic device may calculate the fat burning rate V by the following equation (6):

V＝B1+B2×HR _rest +B3×LTHR+B4×ΔHR+B5×VO _2max (6)

wherein HR is _rest Is the resting heart rate; LTHR is the lactate threshold heart rate described above; Δhr is the target heart rate described above; VO (VO) _2max Is the maximum oxygen uptake; b1, B2, B3, B4, B5 are constants (e.g., b1= -1.365, b2=0.033, b3= -0.021, b4=0.076, b5=0.109).

Optionally, the determining, by the second electronic device, the fat burning speed interval of the user according to the fat burning running speed of the user may include the following procedures: firstly, determining the fat burning speed of a user according to the relation between the running speed and the matching speed and the fat burning running speed by the second electrons; then, the second electronic equipment determines a fat burning speed interval of the user according to the fat burning speed, the second preset value A1 and the third preset value A2.

Specifically, the second electronic device may determine the fat burning rate PACE by the following formula (7):

then, the second electronic equipment obtains a fat burning speed interval of the user according to the fat burning speed, the second preset value A1 and the third preset value A2

In general, the accuracy (accuracy), and the degree of fit (R-squared, R ² ) To evaluate the model. If R is ² The larger the value of (2) in the range of 0-1 and the higher the accuracy, the better the model is indicated. As shown in FIG. 15, use is made ofCompared with the fat burning running speed determined in the actual test process, the fat burning running speed obtained by the fat burning running speed determination model (namely formula (6)) provided by the embodiment of the application has the accuracy reaching 0.91 and the fitting degree R ² Can reach 0.8138. Therefore, the accuracy and the fitting degree of the fat burning running speed determination model provided by the embodiment of the application are relatively good, so that the accuracy of the fat burning running speed determined by the embodiment of the application is relatively high.

In one embodiment, the actual test of the fat burning running speed may be a running process with an initial speed of 4km/h and the running speed increasing step by step until the depleted state is reached. Specifically, the actual test process may include a plurality of running phases and a plurality of resting phases, and the running phases and the resting phases are arranged at intervals. One running phase may be 3 minutes and one resting phase may be 30 seconds.

In the actual test process, the running speed of the user in each running stage can be acquired through the speed measuring equipment, and the oxygen uptake and carbon dioxide release of the user in each running stage are measured. To ensure accuracy of the data, the 61 th to 150 th second running distance for each running stage may be selected to determine the running speed of the tester at each running stage. Similarly, the average oxygen uptake of each running stage can be obtained according to a plurality of oxygen uptake of 61 th to 150 th seconds of each running stage; the average carbon dioxide release amount per running stage is obtained from a plurality of carbon dioxide release amounts from 61 th to 150 th seconds per running stage. The fat oxidation rate Fo of the user at each running stage of the actual testing process is then determined according to the following equation (8):

Fo＝P×VO ₂ -G×VCO ₂ (8)

Wherein P is a constant; VO (VO) ₂ Is the average oxygen uptake; VCO (Voltage controlled Unit) ₂ Is the average carbon dioxide release.

According to the running speeds of the running stages and the fat oxidation amounts of the running stages obtained in the actual test process, a schematic diagram of the relationship between the measured running speed and the measured fat oxidation amount shown in fig. 16 can be obtained.

Alternatively, the second electronic device may determine the user's fat burning level based on the fat burning rate, as well as the user characteristics (e.g., gender and age). The fat burning level is used to evaluate the fat burning level of the user, the greater the fat burning rate, the higher the fat burning level of the user. The fat burning level also has social properties, and a user can know the fat burning level of the user in the same-sex and same-age range of people according to the fat burning level of the user.

Specifically, a fuel level evaluation table (as shown in table 1 below) may be preset in the second electronic device. After the second electronic equipment determines the fuel fat running speed, the fuel fat level corresponding to the fuel fat running speed can be determined in a table look-up mode. The fuel level evaluation table can be obtained by carrying out statistical analysis on a large amount of collected running speed sample data. The running sample data distribution diagram shown in fig. 17 may be a running sample data distribution diagram for a male aged 20-29 years.

TABLE 1

By way of example, assuming a 25 year old male user, as shown in fig. 7, the fat burning rate of the user is 8.5km/h (i.e., the fat burning efficiency of the user is 8.5), the second electronic device may determine that the fat burning level of the user is good by looking up table 1.

Optionally, when the first electronic device is connected to the second electronic device, the second electronic device may send the collected data related to exercise, such as heart rate, running speed, fat burning level, etc., and related to the physical health of the user to the first electronic device. All the motion records of the user wearing the second electronic device can be found in the first electronic device.

For example, assume that the first electronic device is a cell phone and the second electronic device is a sports watch. As shown in fig. 18 a, a first main interface 1801 of the handset displays an icon 1802 of the sports health application. In response to the user clicking on the icon, the handset jumps from the first main interface 1801 to the second main interface 1803 of the sports health application, as shown in fig. 18B. The second main interface 1803 includes: three sections were recorded, overview, sports records and health statistics. Wherein, the record overview is used for recording the exercise record of the user on the same day, exercise plans and the like; the athletic record is used to record running tests made by the user while wearing the athletic watch, such as a fat burning running test (i.e., a first running test procedure), etc.; the health statistics are used to record data such as the heart rate of the user. In response to the user clicking on the control of the fat burning run test in the athletic record, the cell phone jumps from the second main interface 1803 to the detail interface 1804 of the fat burning run test, as shown in FIG. 18C. The detail interface 1804 of the fat burning test includes: detailed information of the fat burning running speed test, fat burning efficiency rating and the like. The detailed information of the fat burning test may include: exercise time, fat burning running speed V, exercise distance, highest heart rate, average heart rate (i.e. first characteristic heart rate), dynamic kcal, etc. The fat burning efficiency rating includes the fat burning efficiency and fat burning level of the user, and the ranking of the fat burning level in an equivalent population (the same population, and within the same age range).

S804, the first electronic equipment displays the fat reducing course according to the fat burning speed distribution interval.

After the exercise health application in the first electronic equipment obtains the fat burning speed range of the user, according to the fat burning speed range, a fat reduction course matched with the fat burning speed range can be found, and the fat reduction course is displayed. The user trains according to this fat reduction course, can further promote self fat burning level.

Illustratively, as shown in FIG. 18C, the fuel rate test details interface 1804 may also include a lesson recommendation section. The layout block displays detailed information of at least one fat reduction course. For example, 4 weeks of lipid-lowering exercise, 3-4 times per week, etc. In response to the user clicking on the more displayed control corresponding to the lesson recommendation section, the handset jumps from the fuel consumption speed test details interface 1804 to the lesson details interface 1805, as shown in fig. 18D. The lesson details interface 1805 may include details of the weekly training program.

For example, a training program for week 1 of a 4 week reduced fat run training may include: the fat run interval is 7:30-6:40 (the fat run interval is obtained from sports watches), and long distance jogging (long slow distance, LSD) for 40 minutes, sprint intermittent running for 20 minutes, and high intensity intermittent training (high-intensity interval training, HIIT). The high-intensity intermittent training can be a training process in which a lactic acid threshold heart rate pulse phase and a fat burning matching speed interval buffering phase are alternately performed.

Alternatively, the user may wear the second electronic device to complete the first running test process once every 1 week of training program. Thus, the second electronic device can determine the new fat burning running speed, and the first electronic device can acquire the new fat burning running speed.

Optionally, the athletic health application of the first electronic device may also be used to prompt the user to input weight at least once a week. In this way, the sports health application may record the weight change of the user.

Illustratively, as shown in fig. 18D, the weekly training program in the lesson details interface 1805 is provided with a prompt for "at least once weekly weight input" to prompt the user to update weight information. In response to the user clicking on the prompt control, the handset jumps from the lesson details interface 1805 to the personal details interface 901, as shown in fig. 9B. In response to the user's input operation in the weight edit box 905, the sports health application in the cell phone acquires a new weight.

The first electronic device can obtain a fat burning effect trend chart of a user and a fat burning efficiency trend description according to the weight and the fat burning running speed acquired every week. According to the fat burning effect trend graph and the fat burning efficiency trend description, the long-term fat burning effect of the user can be intuitively and clearly known.

Illustratively, in connection with either C or D in FIG. 18, as shown in FIG. 19, in response to the user clicking on the trend control 1806, the handset jumps to the fat burning effects trend interface 1901. The fat burning effects trend interface 1901 includes the recent fat burning efficiency trend of the user, as well as the weight trend.

In summary, in the method for determining the matching speed provided by the embodiment of the application, the second electronic device is used for obtaining the data such as the first characteristic heart rate when the user can achieve the fat burning effect, the lactic acid threshold heart rate for evaluating the aerobic endurance level of the human body, the resting heart rate for reflecting the single blood supply of the heart of the user, and the maximum oxygen uptake amount capable of reflecting the endurance exercise potential of the user. As shown in fig. 20 a, the second electronic device obtains a fat burning rate V, a fat burning rate interval, and a fat burning level from the first characteristic heart rate, the lactic acid threshold heart rate, the resting heart rate, and the maximum oxygen intake. In the running process, the user can control the speed in the speed matching interval, so that more fat can be consumed, and the effects of accurate and efficient fat reduction can be achieved. The fuel level has social properties, which can enable the user to know the own fuel level. That is, the matching speed determining method provided by the embodiment of the application can provide short-term motion guidance for the user.

Meanwhile, as shown in fig. 20B, the first electronic device may recommend a fat-reducing course suitable for the user to the user according to the speed allocation interval periodically sent by the second electronic device, so as to allow the user to refer to learning, thereby further improving the fat burning speed. The first electronic device is also used for generating a fat burning effect chart according to the new fat burning running speed obtained at regular intervals and the weight of the user. According to the fat burning effect chart, the user can intuitively know the state of the user. That is, the method for determining the matching speed provided by the embodiment of the application can provide long-term motion guidance for the user.

As shown in fig. 21, the embodiment of the application further provides a chip system. The system-on-chip 2100 includes at least one processor 2101 and at least one interface circuit 2102. The at least one processor 2101 and the at least one interface circuit 2102 may be interconnected by wires. The processor 2101 is configured to support the electronic apparatus in performing the various steps of the method embodiments described above, e.g., the method illustrated in fig. 8, and the at least one interface circuit 2102 may be configured to receive signals from other devices (e.g., memory) or to transmit signals to other devices (e.g., a communication interface). The system-on-chip may include a chip, and may also include other discrete devices.

Embodiments of the present application also provide a computer-readable storage medium comprising instructions that, when executed on an electronic device as described above, cause the electronic device to perform the steps of the method embodiments described above, for example, performing the method shown in fig. 8.

Embodiments of the present application also provide a computer program product comprising instructions which, when run on an electronic device as described above, cause the electronic device to perform the steps of the method embodiments described above, for example to perform the method shown in fig. 8.

Technical effects concerning the chip system, the computer-readable storage medium, the computer program product refer to the technical effects of the previous method embodiments.

It should be understood that, in various embodiments of the present application, the sequence numbers of the foregoing processes do not mean the order of execution, and the order of execution of the processes should be determined by the functions and internal logic thereof, and should not constitute any limitation on the implementation process of the embodiments of the present application.

Those of ordinary skill in the art will appreciate that the various illustrative modules and algorithm steps described in connection with the embodiments disclosed herein may be implemented as electronic hardware, or combinations of computer software and electronic hardware. Whether such functionality is implemented as hardware or software depends upon the particular application and design constraints imposed on the solution. Skilled artisans may implement the described functionality in varying ways for each particular application, but such implementation decisions should not be interpreted as causing a departure from the scope of the present application.

It will be clearly understood by those skilled in the art that, for convenience and brevity of description, specific working procedures of the above-described system, apparatus and module may refer to corresponding procedures in the foregoing method embodiments, which are not repeated herein.

In the several embodiments provided by the present application, it should be understood that the disclosed systems, devices, and methods may be implemented in other manners. For example, the above-described device embodiments are merely illustrative, e.g., the division of the modules is merely a logical function division, and there may be additional divisions when actually implemented, e.g., multiple modules or components may be combined or integrated into another device, or some features may be omitted or not performed. Alternatively, the coupling or direct coupling or communication connection shown or discussed with each other may be through some interface, indirect coupling or communication connection of devices or modules, electrical, mechanical, or other form.

The modules described as separate components may or may not be physically separate, and components shown as modules may or may not be physically separate, i.e., may be located in one device, or may be distributed over multiple devices. Some or all of the modules may be selected according to actual needs to achieve the purpose of the solution of this embodiment.

In addition, each functional module in the embodiments of the present application may be integrated in one device, or each module may exist alone physically, or two or more modules may be integrated in one device.

In the above embodiments, it may be implemented in whole or in part by software, hardware, firmware, or any combination thereof. When implemented using a software program, it may be implemented in whole or in part in the form of a computer program product. The computer program product includes one or more computer instructions. When the computer program instructions are loaded and executed on a computer, the processes or functions described in accordance with embodiments of the present application are produced in whole or in part. The computer may be a general purpose computer, a special purpose computer, a computer network, or other programmable apparatus. The computer instructions may be stored in a computer-readable storage medium or transmitted from one computer-readable storage medium to another computer-readable storage medium, for example, the computer instructions may be transmitted from one website, computer, server, or data center to another website, computer, server, or data center by a wired (e.g., coaxial cable, fiber optic, digital subscriber line (digital subscriber line, DSL)) or wireless (e.g., infrared, wireless, microwave, etc.). The computer readable storage medium may be any available medium that can be accessed by a computer or a data storage device including one or more servers, data centers, etc. that can be integrated with the medium. The usable medium may be a magnetic medium (e.g., a floppy disk, a hard disk, a magnetic tape), an optical medium (e.g., a DVD), or a semiconductor medium (e.g., a Solid State Disk (SSD)), or the like.

The foregoing is merely illustrative of the present application, and the present application is not limited thereto, and any person skilled in the art will readily recognize that variations or substitutions are within the scope of the present application. Therefore, the protection scope of the present application shall be subject to the protection scope of the claims.

Claims

1. A method of determining a match rate, the method comprising:

acquiring a first characteristic heart rate, a target characteristic running speed, a user characteristic, a lactic acid threshold heart rate and a resting heart rate; the first characteristic heart rate is the heart rate when the user achieves the fat burning effect in the first running test process, the first running test process is a process that the heart rate gradually increases stage by stage, the target characteristic running speed is the maximum value of the average running speed of the user in each stage of the first running test process, the lactic acid threshold heart rate is the heart rate corresponding to the rise rate of the blood lactic acid of the user when an inflection point appears, and the resting heart rate is the heart rate when the user is in a resting state;

determining a maximum oxygen uptake according to the user characteristic, the first characteristic heart rate, the resting heart rate, and the target characteristic running speed;

And determining a fat burning speed distribution interval according to the first characteristic heart rate, the resting heart rate, the lactic acid threshold heart rate, the maximum oxygen uptake and a first preset value, wherein the fat burning speed distribution interval is an interval when the user achieves a fat burning effect in the running process.

2. The method of claim 1, wherein the determining a fat burning rate interval based on the first characteristic heart rate, the resting heart rate, the lactic acid threshold heart rate, the maximum oxygen intake, and a first preset value comprises:

determining a difference between the first characteristic heart rate and the resting heart rate as a target heart rate, the target heart rate being indicative of a loading capacity of the heart;

determining a fat burning running speed according to the resting heart rate, the lactic acid threshold heart rate, the target heart rate, the maximum oxygen uptake and a first preset value, wherein the fat burning running speed is used for indicating the optimal running speed when the user achieves a fat burning effect in the running process;

determining the fat burning speed range according to the fat burning running speed, the second preset value A1 and the third preset value A2

Wherein V is the fat burning running speed, A1 is more than 0 and less than 1, and A2 is more than 1.

3. The method of claim 2, wherein the determining the fat burning rate based on the resting heart rate, the lactic acid threshold heart rate, the target heart rate, the maximum oxygen intake, and a first preset value comprises:

The fat burning running speed V is determined by adopting the following formula:

V＝B1+B2×HR _rest +B3×LTHR+B4×ΔHR+B5×VO _2max

wherein B1, B2, B3, B4 and B5 are constants; HR (HR) _rest Is the resting heart rate; LTHR is the lactate threshold heart rate; Δhr is the target heart rate; VO (VO) _2max Is the maximum oxygen uptake.

4. A method according to claim 2 or 3, wherein after determining the fat burning rate, the method further comprises:

and determining a fuel level according to the fuel running speed and the user characteristics, wherein the fuel level is used for evaluating the fuel level of the user.

5. The method of any one of claims 1-4, wherein the obtaining a first characteristic heart rate comprises:

acquiring a plurality of first real-time heart rates of the user in a plurality of target phases in the first running test process, wherein the target phases are the phases with the largest heart rate in the first running test process;

determining an average of the plurality of first real-time heart rates for each of the target phases as a second characteristic heart rate for each of the target phases;

and determining the average value of all the second characteristic heart rates as the first characteristic heart rate.

6. The method of any one of claims 1-5, wherein the obtaining a lactic acid threshold heart rate comprises:

Acquiring a plurality of second real-time heart rates of the user during a second running test; the second running test process is a process of increasing the running speed step by step, or the second running test process is a process of increasing the heart rate step by step and is different from the first running test process;

determining a heart rate inflection point of the plurality of second real-time heart rates as the lactate threshold heart rate.

7. The method of any one of claims 1-5, wherein the obtaining a lactic acid threshold heart rate comprises: the lactic acid threshold heart rate LTHR is obtained using the following formula:

LTHR＝(HR _max -HR _rest )×C+HR _rest

wherein HR is _max A maximum heart rate for the user; HR (HR) _rest A resting heart rate for the user; c is a constant greater than 0 and less than 1.

8. The method of any of claims 1-7, wherein the user characteristics comprise: at least one of age, gender, weight, height, and body mass index;

the determining a maximum oxygen uptake based on the user characteristic, the first characteristic heart rate, the resting heart rate, and the target characteristic running speed comprises:

the maximum oxygen uptake VO is determined by the following formula _2max ：

9. An electronic device comprising a processor, a memory, a heart rate sensor for acquiring heart rate, an accelerometer sensor and a positioning sensor, the memory storing instructions that, when executed by the processor, perform the method of any of claims 1-8, the accelerometer sensor and the positioning sensor for acquiring running speed.

10. A computer readable storage medium comprising instructions which, when executed on an electronic device, cause the electronic device to perform the method of any of claims 1-8.