CN114176573A - Intelligent exercise recommendation method and device and electronic equipment - Google Patents
Intelligent exercise recommendation method and device and electronic equipment Download PDFInfo
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Abstract
The invention provides an intelligent exercise recommendation method, an intelligent exercise recommendation device and electronic equipment, wherein the intelligent exercise recommendation method comprises the following steps: acquiring user sign information and historical movement record information, wherein the user sign information at least comprises one of gender, age, height and weight; responding to a first user operation of a user for selecting and inputting an exercise target on the electronic equipment, and determining a recommended exercise scheme according to the exercise target, user sign information and historical exercise record information, wherein the recommended exercise scheme comprises a plurality of running stages, recommended duration and recommended exercise parameters of each running stage, the running stages at least comprise one of an exercise warm-up stage, an intensity increasing stage and an exercise ending stage, and the recommended exercise parameters at least comprise one of pace, stride and heart rate range. Therefore, the invention can output a motion scheme suitable for the user according to the user sign information, the historical motion record information and the motion target, reduce the motion risk of the user and improve the motion effect.
Description
Technical Field
The invention belongs to the technical field of intelligent wearing, and particularly relates to an intelligent exercise recommendation method and device and wearing equipment.
Background
The intelligent running accompanying function in the existing intelligent wearable device generally judges whether a user reaches a preset numerical value or not by monitoring the running speed and the running frequency of the user in the running process of the user, and sends out a voice prompt to prompt the user to improve when the speed or the running frequency of the user is lower than or higher than a recommended value. However, the recommended value is fixed and invariable, the physiological condition information of the user cannot be considered, and the recommended value cannot be changed along with the actual movement process of the user, so that the health risk of the user is easily caused.
Disclosure of Invention
The embodiment of the invention aims to provide an intelligent exercise recommendation method, an intelligent exercise recommendation device and wearable equipment, which can recommend a proper exercise scheme for a user according to the physical condition and historical exercise records of the user.
In a first aspect, an embodiment of the present application provides an intelligent motion recommendation method, including:
acquiring user sign information and historical movement record information, wherein the user sign information at least comprises one of gender, age, height and weight;
responding to a first user operation of a user for selecting and inputting an exercise target on the electronic equipment, and determining a recommended exercise scheme according to the exercise target, user sign information and historical exercise record information, wherein the recommended exercise scheme comprises a plurality of running stages, recommended duration and recommended exercise parameters of each running stage, the running stages at least comprise one of an exercise warm-up stage, an intensity increasing stage and an exercise ending stage, and the recommended exercise parameters at least comprise one of pace, stride and heart rate range.
In a possible implementation manner of the first aspect, determining a recommended exercise scheme according to the exercise target and at least one of the user sign information and the historical exercise record information includes:
detecting whether historical movement record information exists;
if not, determining a recommended movement scheme according to the movement target and the user sign information, and if so, determining the recommended movement scheme according to the movement target and the historical movement record information.
In a possible implementation manner of the first aspect, determining a recommended exercise scheme according to the exercise target and the user sign information includes:
classifying the users according to the user sign information, and determining a recommended motion scheme based on different types of users and different motion targets.
In one possible implementation manner of the first aspect, the method further includes:
and responding to a second user operation of starting exercise selected by the user, detecting the running exercise duration of the user, and prompting the recommended parameters of the next running stage to the user when the running exercise duration of the user reaches the recommended duration of the current running stage.
In a second aspect, an embodiment of the present application provides an intelligent sports recommendation device, including:
the system comprises an acquisition module, a display module and a control module, wherein the acquisition module is used for acquiring user sign information and historical movement record information, and the user sign information at least comprises one of gender, age, height and weight;
the processing module is used for responding to a first user operation of a user for selecting and inputting an exercise target on the electronic equipment, and determining a recommended exercise scheme according to the exercise target, the user sign information and the historical exercise record information, wherein the recommended exercise scheme comprises a plurality of running stages, recommended duration and recommended exercise parameters of each running stage, the plurality of running stages at least comprise one of an exercise warm-up stage, an intensity increasing stage and an exercise ending stage, and the recommended exercise parameters at least comprise one of pace, stride and heart rate range.
In a possible implementation manner of the second aspect, the processing module is further configured to detect whether historical movement record information exists; if not, determining a recommended movement scheme according to the movement target and the user sign information, and if so, determining the recommended movement scheme according to the movement target and the historical movement record information.
In a possible implementation manner of the second aspect, the processing module is further configured to classify users according to the user sign information, and determine a recommended exercise scheme based on different categories of users and different exercise goals.
In a possible implementation manner of the second aspect, the processing module is further configured to detect a running exercise duration of the user in response to a second user operation of the user selecting to start exercise, and prompt the user for a recommended parameter of a next running stage when the running exercise duration of the user reaches the recommended duration of the current running stage.
In a third aspect, an embodiment of the present application provides an electronic device, including a processor and a memory, where the processor is connected in communication with the memory, where:
the memory is used for storing software instructions;
the processor is used for executing the instructions in the memory and executing the intelligent exercise recommendation method.
In a fourth aspect, the present embodiments provide a computer-readable storage medium for storing one or more computer programs, where the one or more computer programs include instructions for executing the steps of the above-mentioned intelligent sports recommendation method when the computer program runs on a computer.
In the embodiment of the application, by acquiring the user sign information and the historical movement record information, responding to a first user operation of a user selecting and inputting a movement target on the electronic equipment, and outputting a recommended movement scheme according to the movement target, the user sign information and the historical movement record information, the recommended movement scheme comprises a plurality of running stages, recommended duration and recommended movement parameters of each running stage, and the plurality of running stages comprise: the exercise warming-up stage, the intensity increasing stage and the exercise ending stage, and the recommended exercise parameters comprise pace matching, stride and heart rate range. Therefore, the invention can output a motion scheme suitable for the user according to the user sign information, the historical motion record information and the motion target, reduce the motion risk of the user and improve the motion effect.
Drawings
In order to more clearly illustrate the technical solutions in the embodiments of the present invention, the drawings needed to be used in the embodiments or the prior art descriptions will be briefly described below, and it is obvious that the drawings in the following description are only some embodiments of the present invention, and it is obvious for those skilled in the art to obtain other drawings based on these drawings without inventive exercise.
FIG. 1 is a block diagram of a wearable device of an embodiment of an electronic device of the present invention;
FIG. 2 is a flowchart of an intelligent sports recommendation method according to an embodiment of the present invention;
fig. 3 is a flowchart of an intelligent sports recommendation method according to another embodiment of the present invention;
fig. 4 is a block diagram of an intelligent sports recommendation device according to an embodiment of the present invention.
Detailed Description
The technical solutions in the embodiments of the present invention will be clearly and completely described below with reference to the drawings in the embodiments of the present invention, and it is obvious that the described embodiments are only a part of the embodiments of the present invention, and not all of the embodiments. The components of embodiments of the present invention generally described and illustrated in the figures herein may be arranged and designed in a wide variety of different configurations.
Thus, the following detailed description of the embodiments of the present invention, presented in the figures, is not intended to limit the scope of the invention, as claimed, but is merely representative of selected embodiments of the invention. All other embodiments, which can be derived by a person skilled in the art from the embodiments of the present invention without making any creative effort, shall fall within the protection scope of the present invention.
It is noted that relational terms such as "first" and "second," and the like, may be used solely to distinguish one entity or action from another entity or action without necessarily requiring or implying any actual such relationship or order between such entities or actions. Also, the terms "comprises," "comprising," or any other variation thereof, are intended to cover a non-exclusive inclusion, such that a process, method, article, or apparatus that comprises a list of elements does not include only those elements but may include other elements not expressly listed or inherent to such process, method, article, or apparatus. Without further limitation, an element defined by the phrase "comprising an … …" does not exclude the presence of other identical elements in a process, method, article, or apparatus that comprises the element.
The basic idea of the invention is that before the user starts to move, the physical sign information and the historical movement record information of the user are obtained; responding to a first user operation of a user for selecting and inputting a motion target on the electronic equipment, and outputting a recommended motion scheme according to the motion target, user sign information and historical motion record information, wherein the recommended motion scheme comprises a plurality of running stages, and recommended duration and recommended motion parameters of each running stage, and the plurality of running stages comprise: the exercise warming-up stage, the intensity increasing stage and the exercise ending stage, and the recommended exercise parameters comprise pace, stride, heart rate range and energy consumption. Therefore, a motion scheme suitable for the user is output according to the user sign information, the historical motion record information and the motion target, the motion risk of the user is reduced, and the motion effect is improved.
The intelligent sports recommendation method provided by the application can be applied to one or more electronic devices carried by a user, the electronic devices can be mobile phones, wearable devices, portable media players and the like, and the wearable devices can include but are not limited to smart watches, smart bracelets, smart wristbands, smart glasses, rings or helmets and the like.
In one scenario, a user may input sign information of the user, such as age, height, weight, and the like, in a mobile phone paired with the wearable device in advance, and the mobile phone synchronizes the sign information of the user to the wearable device; the wearable device can monitor the motion of the user to generate a historical motion record, and the wearable device can apply the intelligent motion recommendation method to output a recommended motion scheme suitable for the user according to the motion target, the user sign information and the historical motion record information input by the user; when the user moves, the wearable device monitors the movement process of the user and sends out movement reminding to the user according to the recommended movement scheme.
In another scenario, a user may input physical sign information of the user, such as age, height, weight, and the like, in a mobile phone, and the mobile phone may monitor the motion of the user to generate a historical motion record; the mobile phone can apply the intelligent motion recommendation method of the application, and a recommended motion scheme suitable for the user is output according to the motion target, the user sign information and the historical motion record information input by the user; when the user moves, the mobile phone monitors the movement process of the user and sends out movement reminding to the user according to the recommended movement scheme.
In another scenario, a user may input physical sign information of the user, such as age, height, weight, and the like, in a mobile phone paired with the wearable device, and the mobile phone further stores a historical motion record synchronized by the wearable device; the mobile phone can apply the intelligent motion recommendation method, output a recommended motion scheme suitable for the user according to the motion target input by the user, the user sign information and the historical motion record information, and synchronize the recommended motion scheme to the wearable device; when the user moves, the wearable device monitors the movement process of the user and sends out movement reminding to the user according to the recommended movement scheme.
Fig. 1 shows a block diagram of a wearable device of a specific implementation of an electronic device. Wearable device 100 may include one or more processors 101, memory 102, communication module 103, sensor module 104, display 105, audio module 106, speaker 107, microphone 108, camera module 109, motor 110, keys 111, indicator 112, battery 113, power management module 114. These components may communicate over one or more communication buses or signal lines.
The processor 101 is a final execution unit of information processing and program execution, and may execute an operating system or an application program to execute various functional applications and data processing of the wearable device 100. Processor 101 may include one or more processing units, such as: the Processor 101 may include a Central Processing Unit (CPU), a Graphics Processing Unit (GPU), an Image Signal Processor (ISP), a sensor hub Processor or a Communication Processor (CP) Application Processor (AP), and the like. In some embodiments, processor 101 may include one or more interfaces. The interface is used to couple peripheral devices to the processor 101 to transmit instructions or data between the processor 101 and the peripheral devices.
The memory 102 may be used to store computer-executable program code, which includes instructions. The memory 102 may include a program storage area and a data storage area. The storage program area may store an operating system, an application program (such as a sound playing function, an image playing function, etc.) required by at least one function, and the like. The storage data area can store data created during the use process of the intelligent wearable device, for example, exercise parameters of each exercise of the user, such as step number, stride, pace, heart rate, blood oxygen, blood glucose concentration, energy consumption (calorie) and the like. The memory may include a high-speed random access memory, and may further include a non-volatile memory, such as at least one magnetic disk storage device, a flash memory device, a universal flash memory (UFS), and the like.
The communication module 103 may enable the wearable device 100 to communicate with the network and the mobile terminal 200 via wireless communication technology. The communication module 103 converts an electrical signal into an electromagnetic signal to transmit, or converts a received electromagnetic signal into an electrical signal. The communication module 103 may include one or more of a cellular mobile communication module, a short-range wireless communication module, a wireless internet module, and a location information module. The mobile communication module may transmit or receive wireless signals based on a technical standard of mobile communication, and may use any mobile communication standard or protocol, including but not limited to global system for mobile communications (GSM), Code Division Multiple Access (CDMA), code division multiple access 2000(CDMA2000), wideband CDMA (wcdma), time division synchronous code division multiple access (TD-SCDMA), Long Term Evolution (LTE), LTE-a (long term evolution advanced), and the like. The wireless internet module may transmit or receive wireless signals via a communication network according to wireless internet technology, including wireless lan (wlan), wireless fidelity (Wi-Fi), Wi-Fi direct, Digital Living Network Alliance (DLNA), wireless broadband (WiBro), and the like. The short-distance wireless communication module can send or receive wireless signals according to short-distance communication technologies, and the technologies comprise Bluetooth, Radio Frequency Identification (RFID), infrared data communication (IrDA), Ultra Wide Band (UWB), ZigBee, Near Field Communication (NFC), wireless fidelity (Wi-Fi), Wi-Fi direct connection, wireless USB (wireless universal serial bus) and the like. The location information module may obtain the location of the smart wearable device based on a Global Navigation Satellite System (GNSS), which may include one or more of a Global Positioning System (GPS), a global satellite navigation system (Glonass), a beidou satellite navigation system, and a galileo satellite navigation system.
The sensor module 104 is used to measure a physical quantity or detect an operation state of the wearable device 100. The sensor module 104 may include an acceleration sensor 104A, a gyroscope sensor 104B, an air pressure sensor 104C, a magnetic sensor 104D, a biometric sensor 104E, a proximity sensor 104F, an ambient light sensor 104G, a touch sensor 104H, and the like. The sensor module 104 may also include control circuitry for controlling one or more sensors included in the sensor module 104.
Among other things, the acceleration sensor 104A may detect the magnitude of acceleration of the wearable device 100 in various directions. The magnitude and direction of gravity may be detected when the wearable device 100 is stationary. The wearable device 100 can also be used for recognizing the gesture of the wearable device 100, and is applied to horizontal and vertical screen switching, pedometers and other applications. In one embodiment, the acceleration sensor 104A may be combined with the gyroscope sensor 104B to monitor the stride length, pace frequency, pace speed, etc. of the user during exercise.
The gyroscope sensor 104B may be used to determine the motion pose of the wearable device 100. In some embodiments, the angular velocity of the wearable device about three axes (i.e., x, y, and z axes) may be determined by the gyroscope sensor 104B.
The air pressure sensor 104C is used to measure air pressure. In some embodiments, wearable device 100 calculates altitude, aiding in positioning and navigation from barometric pressure values measured by barometric pressure sensor 104C.
The magnetic sensor 104D includes a hall sensor, or magnetometer, etc., which may be used to determine the user position.
The biometric sensor 104E is used to measure physiological parameters of the user including, but not limited to, Photoplethysmography (PPG) sensors, ECG sensors, EMG sensors, blood glucose sensors, temperature sensors. For example, the wearable device 100 may measure heart rate, blood oxygen, blood pressure data of the user via signals of a photoplethysmography sensor and/or an ECG sensor, and identify a blood glucose value of the user based on data generated by a blood glucose sensor. In some embodiments, wearable device 100 may detect whether the user is in a sleep state based on acceleration sensor 104A and biometric sensor 104E, identify a sleep stage of the user, and identify sleep apnea.
The proximity sensor 104F is used to detect the presence of an object near the wearable device 100 without any physical contact. In some embodiments, the proximity sensor 104F may include a light emitting diode and a light detector. The light emitting diodes may be infrared light and the wearable device 100 detects reflected light from nearby objects using a light detector. When the reflected light is detected, it may be determined that there is an object near the wearable device 100. The wearable device 100 may detect its wearing state using the proximity sensor 104F.
The ambient light sensor 104G is used to sense ambient light level. In some embodiments, the wearable device may adaptively adjust display screen brightness according to perceived ambient light levels to reduce power consumption.
The touch sensor 104H is used to detect a touch operation applied thereto or nearby, and is also referred to as a "touch device". The touch sensor 104H can be disposed on the display screen 105, and the touch sensor 104H and the display screen 105 form a touch screen.
The display screen 105 is used to display a graphical User Interface (UI) that may include graphics, text, icons, video, and any combination thereof. The Display 105 may be a Liquid Crystal Display (lcd), an Organic Light-Emitting Diode (OLED) Display, or the like. When the display screen 105 is a touch display screen, the display screen 105 can capture a touch signal on or over the surface of the display screen 105 and input the touch signal as a control signal to the processor 101.
An audio module 106, a speaker 107, a microphone 108, etc. providing audio functions between the user and the wearable device 100, such as listening to music or talking; for another example, when the wearable device 100 receives a notification message from the mobile terminal, the processor 101 controls the audio module 106 to output a preset audio signal, and the speaker 107 emits a sound to remind the user. The audio module 106 converts the received audio data into an electrical signal and sends the electrical signal to the speaker 107, and the speaker 107 converts the electrical signal into sound; or the microphone 108 converts the sound into an electrical signal and sends the electrical signal to the audio module 106, and then the audio module 106 converts the electrical audio signal into audio data.
The camera module 111 is used to capture still images or video. The camera module 111 may include an image sensor, an Image Signal Processor (ISP), and a Digital Signal Processor (DSP). The image sensor converts the optical signal into an electrical signal, the image signal processor converts the electrical signal into a digital image signal, and the digital signal processor converts the digital image signal into an image signal in a standard format (RGB, YUV). The image sensor may be a Charge Coupled Device (CCD) or a metal-oxide-semiconductor (CMOS).
The motor 110 may convert the electrical signal into mechanical vibrations to produce a vibratory effect. The motor 110 may be used for vibration prompts for incoming calls, messages, or for touch vibration feedback. The keys 109 include a power-on key, a volume key, and the like. The keys 109 may be mechanical keys (physical buttons) or touch keys. The indicator 112 is used to indicate the state of the wearable device 100, such as indicating a charging state, a change in charge level, and may also be used to indicate a message, a missed call, a notification, and the like. In some embodiments, wearable device 100 provides vibration feedback upon receiving a notification message from the mobile terminal application.
The battery 113 is used to provide power to various components of the wearable device. The power management module 114 is used for managing charging and discharging of the battery, and monitoring parameters such as battery capacity, battery cycle number, battery health (whether leakage occurs, impedance, voltage, current, and temperature). In some embodiments, the power management module 114 may charge the battery in a wired or wireless manner.
It should be understood that in some embodiments, wearable device 100 may be comprised of one or more of the foregoing components, and wearable device 100 may include more or fewer components than shown, or combine certain components, or split certain components, or a different arrangement of components. The illustrated components may be implemented in hardware, software, or a combination of software and hardware.
Referring to fig. 2, a flowchart of an intelligent sports recommendation method according to an embodiment of the present invention is shown. The notification message management method is applicable to the wearable device shown in fig. 1, and comprises the following steps:
step S201, user sign information and historical movement record information are acquired. The user sign information at least comprises one of gender, age, height and weight. The user sign information may be input by the user in the cell phone of the wearable device pair, for example, the user may register an account in the cell phone app and input the gender, the year and month of birth, the height, the weight, the hobbies, and the like of the individual. The user sign information can be stored in a mobile phone of the user and can also be synchronized to the wearable device. The historical motion record is output by the wearable device after monitoring the motion of the user each time, and the historical motion record can be saved in the wearable device or can be synchronized to a mobile phone matched with the wearable device. Historical motion records may also be generated by the user's cell phone based on their motion sensors.
Step S202, responding to a first user operation of a user selecting and inputting a motion target on the electronic equipment, and determining a recommended motion scheme according to the motion target, the user sign information and the historical motion record information, wherein the recommended motion scheme comprises a plurality of running stages, and recommended duration and recommended motion parameters of each running stage. The plurality of running phases at least comprise one of an exercise warm-up phase, an intensity raising phase and an exercise ending phase, and the recommended exercise parameters at least comprise one of pace matching, stride and heart rate range. The recommended exercise scheme can be determined based on the user physical sign information and the exercise target, can also be determined based on the exercise target and the historical exercise record information, and can also be determined based on the exercise target, the user physical sign information and the historical exercise record.
The display interface provides a plurality of moving objects for selection by a user in a display screen of the electronic device, which may include, for example, increasing running ability, reducing fat, maintaining health, and the like. The electronic equipment combines the moving target with at least one of user sign information and user historical movement record information to output a recommended movement scheme adapted to the user based on the moving target selected and input by the user. The electronic equipment can classify the physical quality of the user according to the physical sign information of the user, the crowds with different age groups, different sexes, different heights and different weights represent the crowds with different physical qualities, and different crowds distribute different exercise intensities for the same exercise target. For example, a higher exercise intensity exercise regimen may be recommended for teenagers, a lower exercise intensity exercise regimen may be recommended for the middle aged; as another example, an exercise regimen of lower exercise intensity may be recommended for women relative to men; for another example, whether the user is overweight or not can be calculated according to the height and the weight of the user, and exercise schemes with different exercise intensities are recommended for overweight people and people who are not overweight.
In addition, the electronic equipment can recommend different motion schemes according to the motion target of the user and the historical motion record information of the user. The user historical exercise record comprises the frequency of the user exercise, the exercise duration of the historical exercise, the pace of the historical exercise and the heart rate condition in the historical exercise process. For example, for a user in a recovery period of exercise (including long periods of non-exercise and a short time ago of high intensity exercise), a lower exercise intensity exercise regimen will be recommended; an exercise regimen of higher exercise intensity will be recommended for users not in the recovery period. For example, for a user whose athletic goal is to improve the marathon running ability, an athletic regimen with a pace that is higher than that of the last exercise may be recommended.
And in order to reduce the exercise risk of the user, the recommended exercise scheme comprises a plurality of running stages, and the recommended duration and recommended exercise parameters of each running stage. The recommended exercise parameter may be a parameter interval, such as a heart rate interval, pace interval, stride interval, and the like. The plurality of running phases may include an exercise warm-up phase, an intensity boost phase, and an exercise end phase, the exercise warm-up phase and the exercise end phase recommending a relatively low pace and heart rate, and the intensity boost phase recommending a relatively high pace and heart rate. For users with different physical qualities or different sports goals, the recommended duration of each running phase is different, for example, for users with poor physical quality, a longer warm-up phase and a shorter intensity boosting phase are adopted.
Therefore, according to the embodiment of the application, the movement scheme suitable for the user can be output according to the user sign information, the historical movement record information and the movement target, the movement risk of the user is reduced, and the movement effect is improved.
Referring to fig. 3, a flowchart of an intelligent sports recommendation method according to another embodiment of the present invention is shown. The process comprises the following steps:
step S301, obtaining user physical sign information and historical movement record information.
Step S302, whether historical movement record information is acquired or not is detected. If yes, the process proceeds to step S304, otherwise, the process proceeds to step S303.
Step S303, a recommended motion scheme is determined according to the motion target and the user sign information. In this step, users can be classified according to the user sign information, and a recommended exercise scheme is determined based on different types of users and different exercise targets. The electronic equipment can classify the physical quality of the user according to the physical sign information of the user, the crowds with different age groups, different sexes, different heights and different weights represent the crowds with different physical qualities, and different crowds distribute different exercise intensities for the same exercise target. For example, a higher exercise intensity exercise regimen may be recommended for teenagers, a lower exercise intensity exercise regimen may be recommended for the middle aged; as another example, an exercise regimen of lower exercise intensity may be recommended for women relative to men; for another example, whether the user is overweight or not can be calculated according to the height and the weight of the user, and exercise schemes with different exercise intensities are recommended for overweight people and people who are not overweight.
In one embodiment of the present application, the users may be classified according to their ages, sexes, heights, and weights, and the exercise time of the user may be determined based on the exercise target of the user. For example, the user can judge the physical quality of the user according to the sex and the height and the weight of the user. When the weight of the user is in the normal interval, the user may be considered to be in a better physical condition, and the user may be considered to be in a poorer physical condition, for example, the user may be considered to be in a lower physical condition if the user's actual weight is greater than 20% of the standard weight, or in a lower physical condition if the user's actual weight is less than 25% of the standard weight, such as a higher physical condition (cm) -105 for male or a higher physical condition (cm) -110 for female.
After classifying the user, the user's movement plan may be formulated according to table 1. In table 1, the rough calculation formula for the maximum heart rate of the user is: maximum heart rate 220-age. For example, a person in the age of forty may have his extreme exercise heart rate at most 180 beats/minute.
TABLE 1
| Percent maximum heart rate | Effect of movement | Time of exercise |
| 50％-60％ | Recovery from exercise, rerunning, warming up | 20-40 minutes |
| 60％-70％ | Weight loss | 40-80 minutes |
| 70％-80％ | Reducing weight, and improving cardiopulmonary ability | 10-40 minutes |
| 80％-90％ | Increase muscle and improve running ability | 2-10 minutes |
| 90％-100％ | Increase muscle and heart-lung capacity | Less than 5 minutes |
The exercise regimen may include a plurality of running sessions and a recommended duration and recommended exercise parameters for each running session. The running phase may include at least one of an exercise warm-up phase, an intensity boosting phase, and an exercise end phase, and the recommended exercise parameters include at least one of pace, stride, and heart rate range.
In one embodiment, the heart rate parameters of the exercise warm-up phase and the exercise end phase are determined to be 50% -60%, the heart rate parameter of the intensity boost phase is determined according to the target and the physical quality of the user, for example, the exercise target of the user is weight reduction, the physical quality of the user is better, and the heart rate parameter of the intensity boost phase is 70% -80% of the maximum heart rate; for example, if the user's athletic goal is to remain healthy and the user is well-qualified, the heart rate parameter for the intensity boost phase may be set to 55% -60% of the maximum heart rate, and if the user is poorly qualified, the heart rate parameter for the intensity boost phase may be set to 50% -55% of the maximum heart rate. The recommended duration of each exercise running stage can be determined according to the physical quality of the user, for example, if the physical quality of the user is better, the duration of the intensity improving stage is increased, and the durations of the exercise warming-up stage and the exercise ending stage are reduced; for example, if the user is poor in physical quality, the duration of the lifting phase is increased or decreased, and the duration of the exercise warming-up phase and the exercise ending phase is correspondingly increased.
And step S304, determining a recommended motion scheme according to the motion target and the historical motion record information. The user historical exercise record comprises the frequency of the user exercise, the exercise duration of the historical exercise, the pace of the historical exercise and the heart rate condition in the historical exercise process. For example, for a user in a recovery period of exercise (including long periods of non-exercise and a short time ago of high intensity exercise), a lower exercise intensity exercise regimen will be recommended; an exercise regimen of higher exercise intensity will be recommended for users not in the recovery period. For example, for a user whose athletic goal is to improve the marathon running ability, an athletic regimen with a pace that is higher than that of the last exercise may be recommended. For example, the recommended parameter is determined based on the motion parameter in the historical motion record information.
Step S305, responding to the second user operation of the user selecting the start of the exercise, and detecting the running exercise time length of the user. When the user selects to start the exercise, the electronic device starts monitoring the running process of the user.
And S306, when the exercise duration of the user reaches the recommended duration of the current running stage, prompting the recommended parameters of the next running stage to the user. Each time the user completes one running session, the electronic device may prompt the user for recommended parameters for the next running session. And in the process of the user movement, when the movement parameters of the user do not meet the recommendation parameters, the electronic equipment sends out a prompt to enable the user to meet the recommendation parameters. In the current running stage, the recommended heart rate parameter is (90-100), and when the heart rate of the user is lower than 90, the user is reminded to increase the speed to improve the heart rate, so that the expected exercise effect is achieved; when the heart rate of the user is higher than 100, the user is reminded to reduce the speed to reduce the heart rate, and the exercise risk is avoided.
According to the intelligent motion recommendation method provided by the embodiment, when no historical motion record exists in the electronic equipment, a motion recommendation scheme is determined according to the user sign information and the motion target; and when the historical movement record exists in the electronic equipment, determining a movement recommendation scheme according to the movement target of the user and the historical movement record. Therefore, a proper exercise recommendation scheme can be provided for the user, the staged parameters can be provided, and when each running stage is finished, the user prompts the recommended parameters of the next running stage, so that the exercise effect can be improved, and the exercise risk can be avoided.
In some embodiments, the exercise recommendation scheme may also be determined according to a combination of the user sign information, the exercise target, and the historical exercise record information.
Referring to fig. 4, a block diagram of an intelligent sports recommendation device according to another embodiment of the present invention is shown. The intelligent sports recommendation device 200 includes:
the collecting module 210 is configured to obtain user sign information and historical movement record information, where the user sign information includes gender, age, height, and weight.
The processing module 220 is configured to, in response to a first user operation of the user selecting and inputting the moving object on the electronic device, determine a recommended movement scheme according to the moving object and at least one of the user sign information and the historical movement record information. The recommended exercise scheme comprises a plurality of running stages, recommended duration and recommended exercise parameters of each running stage, the plurality of running stages at least comprise one of exercise warm-up stages, intensity increasing stages and exercise ending stages, and the recommended exercise parameters at least comprise one of pace matching, stride and heart rate range.
The processing module 220 is further configured to detect whether historical movement record information exists; if not, determining a recommended movement scheme according to the movement target and the user sign information, and if so, determining the recommended movement scheme according to the movement target and the historical movement record information. The processing module 220 is further configured to classify users according to the user sign information, and determine a recommended exercise scheme based on different categories of users and different exercise goals.
The processing module 220 is further configured to initiate a second user action of the motion in response to the user selection; and detecting the running exercise duration of the user, and prompting the recommended parameters of the next running stage to the user when the running exercise duration of the user reaches the recommended duration of the current running stage.
Exemplary embodiments of the present disclosure also provide a computer-readable storage medium having stored thereon a program product capable of implementing the above-described method of the present specification. In some possible embodiments, various aspects of the disclosure may also be implemented in the form of a program product including program code for causing a terminal device to perform the steps according to various exemplary embodiments of the disclosure described in the above-mentioned "exemplary methods" section of this specification, when the program product is run on the terminal device, for example, any one or more of the steps in fig. 2 may be performed.
It should be noted that the computer readable media shown in the present disclosure may be computer readable signal media or computer readable storage media or any combination of the two. The computer readable storage medium may be, for example, an electronic, magnetic, optical, electromagnetic, infrared, or semiconductor system, apparatus, or device, or any combination of the foregoing. More specific examples of the computer readable storage medium may include, but are not limited to: an electrical connection having one or more wires, a portable computer diskette, a hard disk, a Random Access Memory (RAM), a read-only memory (ROM), an erasable programmable read-only memory (EPROM or flash memory), an optical fiber, a portable compact disc read-only memory (CD-ROM), an optical storage device, a magnetic storage device, or any suitable combination of the foregoing.
In the embodiments provided in the present application, it should be understood that the disclosed apparatus and method can be implemented in other ways. The apparatus embodiments described above are merely illustrative, and for example, the flowchart and block diagrams in the figures illustrate the architecture, functionality, and operation of possible implementations of apparatus, methods and computer program products according to various embodiments of the present invention. In this regard, each block in the flowchart or block diagrams may represent a module, segment, or portion of code, which comprises one or more executable instructions for implementing the specified logical function(s). It should also be noted that, in some alternative implementations, the functions noted in the block may occur out of the order noted in the figures. For example, two blocks shown in succession may, in fact, be executed substantially concurrently, or the blocks may sometimes be executed in the reverse order, depending upon the functionality involved. It will also be noted that each block of the block diagrams and/or flowchart illustration, and combinations of blocks in the block diagrams and/or flowchart illustration, can be implemented by special purpose hardware-based systems which perform the specified functions or acts, or combinations of special purpose hardware and computer instructions.
The functions, if implemented in the form of software functional modules and sold or used as a stand-alone product, may be stored in a computer readable storage medium. Based on such understanding, the technical solution of the present invention may be embodied in the form of a software product, which is stored in a storage medium and includes instructions for causing a computer device to execute all or part of the steps of the method according to the embodiments of the present invention. And the aforementioned storage medium includes: a U-disk, a removable hard disk, a Read-Only Memory (ROM), a Random Access Memory (RAM), a magnetic disk or an optical disk, and other various media capable of storing program codes.
The above description is only a preferred embodiment of the present invention and is not intended to limit the present invention, and various modifications and changes may be made by those skilled in the art. Any modification, equivalent replacement, or improvement made within the spirit and principle of the present invention should be included in the protection scope of the present invention.
Claims (10)
1. An intelligent sports recommendation method, comprising:
acquiring user sign information and historical movement record information, wherein the user sign information at least comprises one of gender, age, height and weight;
responding to a first user operation of a user for selecting and inputting an exercise target on an electronic device, and determining a recommended exercise scheme according to the exercise target, the user sign information and the historical exercise record information, wherein the recommended exercise scheme comprises a plurality of running stages, recommended duration and recommended exercise parameters of each running stage, the plurality of running stages at least comprise one of an exercise warm-up stage, an intensity increasing stage and an exercise ending stage, and the recommended exercise parameters at least comprise one of pace, stride and heart rate range.
2. The intelligent exercise recommendation method according to claim 1, wherein determining a recommended exercise scheme according to the exercise target and at least one of the user sign information and the historical exercise record information includes:
detecting whether the historical movement record information exists;
if not, determining the recommended motion scheme according to the motion target and the user sign information, and if yes, determining the recommended motion scheme according to the motion target and the historical motion record information.
3. The intelligent exercise recommendation method according to claim 2, wherein determining the recommended exercise scheme according to the exercise target and the user sign information comprises:
classifying the users according to the user sign information, and determining the recommended motion scheme based on different types of users and different motion targets.
4. The intelligent sports recommendation method of claim 1, further comprising:
and responding to a second user operation of starting exercise selected by the user, detecting the running exercise duration of the user, and prompting the recommended parameters of the next running stage to the user when the running exercise duration of the user reaches the recommended duration of the current running stage.
5. An intelligent sports recommendation device, comprising:
the system comprises an acquisition module, a display module and a control module, wherein the acquisition module is used for acquiring user sign information and historical movement record information, and the user sign information at least comprises one of gender, age, height and weight;
the processing module is used for responding to a first user operation of a user selecting and inputting an exercise target on the electronic equipment, and determining a recommended exercise scheme according to the exercise target, the user sign information and the historical exercise record information, wherein the recommended exercise scheme comprises a plurality of running stages, recommended duration and recommended exercise parameters of each running stage, the running stages at least comprise one of an exercise warm-up stage, an intensity increasing stage and an exercise ending stage, and the recommended exercise parameters at least comprise one of pace matching, stride and heart rate range.
6. The intelligent sports recommendation device of claim 5, wherein the processor is further configured to detect whether the historical sports record information is present; if not, determining the recommended motion scheme according to the motion target and the user sign information, and if yes, determining the recommended motion scheme according to the motion target and the historical motion record information.
7. The intelligent sports recommendation device according to claim 6, wherein the processor is further configured to classify users according to the user sign information, and determine the recommended sports scheme based on different categories of users and different sports goals.
8. The intelligent sports recommendation device of claim 5, wherein the processor is further configured to detect a running exercise duration of the user in response to a second user operation of the user selecting to start exercise, and prompt the user for a recommended parameter for a next running session when the running duration of the user reaches the recommended duration of the current running session.
9. An electronic device comprising a processor and a memory, the processor communicatively coupled to the memory, wherein:
the memory is used for storing software instructions;
the processor is configured to execute the instructions in the memory to perform the method of any of claims 1-5.
10. A computer-readable storage medium storing one or more computer programs, the one or more computer programs comprising instructions for performing the steps of the intelligent sports recommendation method of any one of claims 1-5, when the computer program is run on a computer.
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