CN111161833A - Fitness plan generation method and related equipment - Google Patents
Fitness plan generation method and related equipment Download PDFInfo
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- CN111161833A CN111161833A CN201911328984.5A CN201911328984A CN111161833A CN 111161833 A CN111161833 A CN 111161833A CN 201911328984 A CN201911328984 A CN 201911328984A CN 111161833 A CN111161833 A CN 111161833A
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Abstract
The embodiment of the application discloses a fitness plan generating method, which is applied to intelligent electronic equipment comprising a physiological parameter acquisition device, an artificial intelligence chip and a general processor, and the method comprises the following steps: acquiring body parameters of a fitness user through a physiological parameter acquisition device; forming body parameters into input data through a general processor, and transmitting the input data to an artificial intelligence chip; carrying out neural network operation on input data through an artificial intelligence chip to obtain an output result; and obtaining a fitness plan corresponding to the body parameters according to the output result through the general processor. The method and the device are beneficial to achieving targeted fitness and improving fitness experience of the user.
Description
Technical Field
The application relates to the technical field of artificial intelligence, in particular to a fitness plan generating method and a related product.
Background
With the improvement of living standard of people and the increasing concern of physical health, more and more people can strengthen the physical quality and relieve the pressure by going to a gymnasium for body building. Most people can choose to run, push, pull and squat during body building. At present, people generally conduct fitness by inquiring related data or referring to fitness methods of other people when building fitness, and because the body qualities of each person are different, the fitness plan of the people is executed by simply simulating the fitness methods of other people, so that the fitness effect is difficult to achieve, the fitness of a user is not targeted, the efficiency is low, and the motivation and the fitness experience of the user are influenced.
Disclosure of Invention
The embodiment of the application provides a fitness plan generating method and a related product, and the fitness plan is automatically generated according to body parameters of a user, so that targeted fitness is realized, and user experience is improved.
In a first aspect, an embodiment of the present application provides a method for generating a fitness plan, and an intelligent electronic device including a physiological parameter obtaining device, an artificial intelligence chip, and a general processor, including:
acquiring body parameters of a fitness user through a physiological parameter acquisition device;
forming body parameters into input data through a general processor, and transmitting the input data to an artificial intelligence chip; carrying out neural network operation on input data through an artificial intelligence chip to obtain an output result;
and obtaining a fitness plan corresponding to the body parameters according to the output result through the general processor.
In some possible embodiments, the output result includes a target feature vector corresponding to the input data, and the obtaining, by the general purpose processor, a fitness plan corresponding to the physical parameter from the output result includes:
classifying the target characteristic vectors through a general processor to obtain the probability that the target characteristic vectors fall into each preset constitution grade, and taking the constitution grade corresponding to the maximum probability as a classification result;
and obtaining the fitness plan corresponding to the fitness user according to the mapping relation between the fitness plan and the physique grades and the classification result through the general processor.
In some possible embodiments, after obtaining, by the general purpose processor, the fitness plan corresponding to the physical parameter from the output, the method further comprises:
determining, by the general purpose processor, a total energy consumed by the fitness user to execute the fitness plan according to the fitness plan;
determining a target body part of the fitness user according to the total energy and the body parameters through the general processor;
acquiring a fitness protector corresponding to a target body part through a general processor;
and displaying the target body part and the fitness protector corresponding to the target body part through the display screen.
In some possible embodiments, determining, by the general purpose processor, a target body part of the exercising user from the total energy and the physical parameter includes:
determining, by the general purpose processor, a motion amplitude of each body part of the fitness user when executing the fitness plan;
determining, by the general purpose processor, the sub-energies consumed by each body part based on the total energy and the motion amplitude of each body part;
determining the maximum energy which can be consumed by each body part of the fitness user according to the mapping relation among the body parameters, the fitness plan and the energy consumption through the general processor;
and comparing the sub-energy corresponding to each body part with the maximum energy capable of being consumed by the general processor to obtain the target body part of the fitness user.
In some possible embodiments, the fitness plan includes a plurality of fitness items, the intelligent electronic device further includes a speaker, and the method further includes:
acquiring the motion type and the motion frequency corresponding to each fitness item in a plurality of fitness items through a general processor;
acquiring a motion type and a music type corresponding to the motion frequency corresponding to each fitness item through a general processor;
selecting music tracks matched with the motion types and the music types of the motion frequencies corresponding to the fitness items from a music library through a general processor according to the music types;
if it is detected that the fitness user is performing a fitness program, a music track matching each fitness item is played through the speaker.
In a second aspect, an embodiment of the present application provides an intelligent electronic device, which includes a physiological parameter obtaining device, an artificial intelligence chip, and a general processor, wherein:
the physiological parameter acquisition device is used for acquiring the body parameters of the fitness user;
the artificial intelligence chip is used for forming the body parameters into input data and carrying out neural network operation on the input data to obtain an output result;
and the general processor is used for obtaining the fitness plan corresponding to the body parameters according to the output result.
In some possible embodiments, the output result includes a target feature vector corresponding to the input data;
in respect of obtaining a fitness plan corresponding to the physical parameter from the output, the general processor is specifically configured to:
classifying the target characteristic vectors to obtain the probability that the target characteristic vectors fall into each preset constitution grade, and taking the constitution grade corresponding to the maximum probability as a classification result;
and obtaining the fitness plan corresponding to the fitness user according to the mapping relation between the fitness plan and the physique grades and the classification result.
In some possible embodiments, after obtaining the fitness plan corresponding to the physical parameter according to the output result,
the general processor is also used for determining the total energy consumed by the fitness user to execute the fitness plan according to the fitness plan;
the general processor is also used for determining the target body part of the fitness user according to the total energy and the body parameters;
the general processor is also used for acquiring the fitness protector corresponding to the target body part;
the display screen is also used for displaying the target body part and the fitness protector corresponding to the target body part.
In some possible embodiments, the general purpose processor, in determining the target body part of the exercising user from the total energy and the physical parameter, is specifically configured to:
determining the action amplitude of each body part when the fitness user executes the fitness plan;
determining the sub energy consumed by each body part according to the total energy and the action amplitude of each body part;
determining the maximum energy which can be consumed by each body part of the fitness user according to the mapping relation among the body parameters, the fitness plan and the energy consumption;
and comparing the sub-energy corresponding to each body part with the maximum energy capable of being consumed to obtain the target body part of the fitness user.
In some possible embodiments, the fitness plan includes a plurality of fitness items, the intelligent electronic device further includes a speaker;
the general processor is also used for acquiring the motion type and the motion frequency corresponding to each fitness item in a plurality of fitness items;
the general processor is also used for acquiring the motion type and the music type corresponding to the motion frequency corresponding to each fitness item;
the general processor is also used for selecting music tracks matched with the motion types and the motion frequency music types corresponding to each fitness item from the music library according to the music types;
if it is detected that the fitness user is performing a fitness program, a speaker is used to play a music track that matches each fitness item.
In a third aspect, embodiments of the present application provide an intelligent electronic device, comprising a processor, a memory, a communication interface, and one or more programs, wherein the one or more programs are stored in the memory and configured to be executed by the processor, and the programs include instructions for performing the steps in the method according to the first aspect.
In a fourth aspect, embodiments of the present application provide a computer-readable storage medium, where a computer program is stored, and the computer program causes a computer to execute the method according to the first aspect.
In a fifth aspect, embodiments of the present application provide a computer program product comprising a non-transitory computer readable storage medium storing a computer program, the computer operable to cause the computer to perform the method of the first aspect.
The embodiment of the application has the following beneficial effects:
it can be seen that, in the embodiment of the application, the intelligent electronic device obtains the body parameters of the fitness user, and quickly generates the fitness plan corresponding to the fitness user according to the body parameters of the fitness user, so that targeted fitness is realized, and the fitness experience of the user is improved; moreover, the fitness plan is automatically generated, professional fitness can be realized without professional fitness trainers, and the fitness cost is reduced.
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In order to more clearly illustrate the technical solutions in the embodiments of the present application, the drawings needed to be used in the description of the embodiments are briefly introduced below, and it is obvious that the drawings in the following description are some embodiments of the present application, and it is obvious for those skilled in the art to obtain other drawings based on these drawings without creative efforts.
Fig. 1A is a schematic structural diagram of a fitness plan generating system according to an embodiment of the present disclosure;
fig. 1B is a schematic structural diagram of an artificial intelligence chip according to an embodiment of the present disclosure;
fig. 2 is a schematic flow chart of a method for generating a fitness plan according to an embodiment of the present disclosure;
FIG. 3 is a schematic flow chart diagram illustrating another method for generating a fitness plan according to an embodiment of the present application;
FIG. 4 is a schematic flow chart diagram illustrating another method for generating a fitness plan according to an embodiment of the present application;
fig. 5 is a schematic structural diagram of an intelligent electronic device according to an embodiment of the present application;
fig. 6 is a block diagram illustrating functional units of an intelligent electronic device according to an embodiment of the present disclosure.
Detailed Description
The technical solutions in the embodiments of the present application will be clearly and completely described below with reference to the drawings in the embodiments of the present application, and it is obvious that the described embodiments are some, but not all, embodiments of the present application. All other embodiments, which can be derived by a person skilled in the art from the embodiments given herein without making any creative effort, shall fall within the protection scope of the present application.
The terms "first," "second," "third," and "fourth," etc. in the description and claims of this application and the accompanying drawings are used for distinguishing between different objects and not for describing a particular order. Furthermore, the terms "include" and "have," as well as any variations thereof, are intended to cover non-exclusive inclusions. For example, a process, method, system, article, or apparatus that comprises a list of steps or elements is not limited to only those steps or elements listed, but may alternatively include other steps or elements not listed, or inherent to such process, method, article, or apparatus.
Reference herein to "an embodiment" means that a particular feature, result, or characteristic described in connection with the embodiment can be included in at least one embodiment of the application. The appearances of the phrase in various places in the specification are not necessarily all referring to the same embodiment, nor are separate or alternative embodiments mutually exclusive of other embodiments. It is explicitly and implicitly understood by one skilled in the art that the embodiments described herein can be combined with other embodiments.
Referring to fig. 1A, fig. 1A is a schematic diagram of an architecture of a fitness plan generating system provided in an embodiment of the present application, where the fitness plan generating system includes a physiological parameter obtaining device, an artificial intelligence chip, and a general processor, where:
the physiological parameter acquisition device is used for acquiring the body parameters of the fitness user;
the general processor is used for forming the body parameters into input data and transmitting the input data to the artificial intelligence chip;
the artificial intelligence chip is used for carrying out neural network operation on input data to obtain an output result;
and the general processor is also used for obtaining a fitness plan corresponding to the physical parameters according to the output result.
Referring to fig. 1B, fig. 1B provides a schematic structural diagram of an artificial intelligence chip, where the artificial intelligence chip can implement a fitness plan generation scenario, and the artificial intelligence chip is shown in fig. 1B and includes: a storage medium 111 (optional), a register circuit 112, an interconnect circuit 113, an arithmetic circuit 114, a controller circuit 115, and a data access circuit 116;
the arithmetic circuit 114 may include: two or more of an addition calculator, a multiplication calculator, a comparator and an activation calculator. Of course, in practical applications, the arithmetic circuit 114 may include a plurality of addition calculators or a plurality of multiplication calculators, and in practical applications, the number of addition calculators, multiplication calculators, comparators, and activation calculators included in the arithmetic circuit may not be limited.
It should be noted that the addition calculator, the multiplication calculator, the comparator and the activation calculator are only examples, and the present application is not limited thereto, for example, in practical applications, the operation circuit 114 may further include a maximum value calculator.
The interconnection circuit 113 is used for connecting the calculators in the operation circuit 114 in a connection relationship such that the at least two calculators form different calculation topologies.
The register circuit 112 is configured to store an operation instruction, an address of a data block in a storage medium, and a computation topology corresponding to the operation instruction.
The external device may be different for different scenarios, for example, for a fitness plan generation scenario, the corresponding external device may be a direct memory access unit, and specifically, the implementation manner may specifically include: the direct memory access circuit receives input data sent by the general processor and sends the input data to the data access circuit, after the data access circuit receives the input data, the data access circuit sends the input data to the operation circuit or the data access circuit distributes the input data to each calculator of the operation circuit through the interconnection module, the data access circuit reads a calculation instruction and a model parameter (such as a weight value) from a storage medium and sends the calculation instruction and the model parameter to the controller circuit, the controller circuit sends the calculation instruction and the model parameter to the operation circuit, each calculator of the operation circuit executes respective calculation according to the received calculation instruction, the model parameter and the input data to obtain an intermediate result, the operation circuit processes the intermediate result to obtain a final calculation result, and the operation circuit sends the final calculation result to the general processor through the direct memory access circuit, and the general processor processes the received final calculation result to obtain a fitness plan corresponding to the fitness user.
Specifically, the computing circuit obtains a feature vector or a feature matrix (i.e., the final calculation result) of the fitness user, the general processor matches the feature vector or the feature matrix in the feature library to obtain a fitness level of the user, and obtains the fitness plan of the fitness user according to a preset mapping relationship between the fitness plan and the fitness level.
Referring to fig. 2, fig. 2 is a schematic flow chart of a method for generating a fitness plan according to an embodiment of the present application, where the method for generating a fitness plan is applied to an intelligent electronic device including a physiological parameter acquisition device, an artificial intelligence chip, and a general processor, and the method includes, but is not limited to, the following steps:
201: the intelligent electronic equipment acquires the body parameters of the fitness user through the physiological parameter acquisition device.
Wherein the physical parameters include, but are not limited to, chest circumference, waist circumference, hip circumference, heart rate, blood pressure, gender, age, height, weight, and body fat rate.
Optionally, the fitness user may input the body parameters in an information input field of the APP of the intelligent electronic device, and click to obtain the fitness plan, and the intelligent electronic device may automatically output the fitness plan of the fitness user according to the body parameters.
The smart electronic device may include various handheld devices, vehicle-mounted devices, wearable devices, computing devices or other processing devices connected to a wireless modem having wireless communication functions, as well as various forms of User Equipment (UE), Mobile Stations (MS), terminal equipment (TD), and so on.
The physiological parameter acquisition device is integrated in the intelligent electronic equipment.
202: the intelligent electronic equipment forms the body parameters into input data through general processing, and transmits the input data to the artificial intelligence chip.
Optionally, the intelligent electronic device composes the body parameters of the fitness user into input data (e.g., an input data matrix) through a general process, and sends the input data to the artificial intelligence chip through the direct memory access circuit of the artificial intelligence chip.
The general purpose processor is integrated in the intelligent electronic device.
203: the intelligent electronic equipment performs neural network operation on input data through the artificial intelligence chip to obtain an output result.
The intelligent electronic device performs an operation, such as a convolution operation, on the input data and the weight value through the artificial intelligence chip, and an output result (i.e., a feature vector or a feature matrix) can be obtained.
The artificial intelligence chip is integrated in the intelligent electronic device.
204: and the intelligent electronic equipment obtains a fitness plan corresponding to the body parameters according to the output result through the general processor.
The intelligent electronic equipment calls the general processor to classify the output result to obtain the probability that the output result falls into each preset constitution grade, the constitution grade corresponding to the maximum probability is used as a classification result, and then the body-building plan of the body-building user is obtained according to the mapping relation between the constitution grade and the body-building plan.
The fitness plan comprises fitness items, fitness frequency, fitness time, fitness equipment corresponding to each fitness item, and service time corresponding to each fitness equipment.
In some possible embodiments, the intelligent electronic device further includes a display screen, so that the intelligent electronic device can also display the fitness plan to the fitness user through the display screen, and display prompt information on the display screen, where the prompt information is used for prompting the fitness user to perform fitness according to the fitness plan.
It can be seen that, in the embodiment of the application, the intelligent electronic device can quickly generate the fitness plan corresponding to the fitness user according to the body parameters of the user, so that targeted fitness is realized, and the fitness experience of the user is improved; moreover, the fitness plan is automatically generated, professional fitness can be realized without professional fitness trainers, and the fitness cost is reduced.
In some possible embodiments, the intelligent electronic device further comprises an image acquisition device integrated in the intelligent electronic device. Since many users are not aware of their own partial body parameters, the following provides an implementation for automatically determining body parameters.
The intelligent electronic equipment acquires a whole body image of the fitness user through the image acquisition device and sends the whole body image to the general processor;
the intelligent electronic equipment performs gray processing on the whole-body image through the general processor to obtain a pixel value of each pixel point in the whole-body image, and judges whether each pixel point belongs to a human body pixel point or not based on the pixel value to obtain all the human body pixel points; traversing all the human body pixel points under an image coordinate system to obtain a human body highest pixel point, a human body lowest pixel point, a human body leftmost pixel point and a human body rightmost pixel point in the whole-body image; taking the difference value of the highest pixel point and the lowest pixel point of the human body as the height of the pixel of the human body, and taking the difference value of the leftmost pixel point and the rightmost pixel point of the human body as the width of the pixel of the human body; identifying bone points in the whole-body image based on the pixel values, and taking the distance between the bone points with the farthest distance as a human body depth value; acquiring the pixel width of the cross section of an effective visual angle field where a human body is located in the whole-body image, wherein the determination process is consistent with the acquired human body pixel width and is not described, and then acquiring the actual height of the human body based on the depth value, the human body pixel width, the pixel width of the cross section and the human body pixel height; and obtaining the weight of the user based on the actual height and the preset parameters of the human body.
Wherein, according to the depth value, the width of the human body pixel, the width of the pixel of the cross section and the height of the human body pixel, the actual height of the human body can be obtained through the following calculation formula:
H＝2d×tan(28)×w1/(w2 2×h)；
wherein d is depth value, w1Is the width of a human body pixel, w2Is the pixel width of the cross section, H is the height of the pixel of the human body, and H is the actual height of the human body;
the weight of the user can be obtained through the following calculation formula based on the actual height of the human body and the preset parameters:
W＝a×Hb×(2d×tan(28)×w1/w2)c；
wherein, W is the weight of the fitness user, a, b and c are preset parameters obtained by pre-training a plurality of human body samples, and the values of the parameters can be 27, 2 and 0.6.
Further, the relative height of the fitness user in the whole-body image is obtained, and the relative height is converted according to the relative height and camera parameters (such as scaling) to obtain the height of the fitness user, wherein the conversion process is not described in the prior art.
Likewise, the whole-body image may be further processed to obtain other parameters of the body parameters, such as the chest circumference, muscle density, etc. of the user through camera parameters, which are not described again.
In this example, the body parameters of the user can be obtained through image recognition, so that convenience in generating the fitness plan is improved, and user experience is improved.
In some possible embodiments, the implementation process of obtaining the fitness plan corresponding to the body parameter according to the output result by the general processor may be: the intelligent electronic equipment constructs an actual human body 3D model of the fitness user according to the 3D data through the general processor; acquiring a standard human body 3D model corresponding to the body parameters of the fitness user from a database; comparing the actual human body 3D model with the standard human body 3D model to obtain a target body part, wherein the target body part is a body part needing to be exercised; acquiring the difference between a target body part in the actual human body 3D model and the standard human body 3D model; and determining the fitness plan according to the difference.
In some possible embodiments, after the intelligent electronic device obtains, through the general-purpose processor, the fitness plan corresponding to the physical parameter according to the output result, the method further includes: the intelligent electronic equipment determines the total energy consumed by the fitness user to execute the fitness plan according to the fitness plan through the general processor; the intelligent electronic equipment determines the target body part of the fitness user according to the total energy and the body parameters through the general processor; the intelligent electronic equipment acquires a fitness protector corresponding to the target body part through the general processor; the intelligent electronic equipment displays the target body part and the fitness protector corresponding to the target body part through the display screen.
The target body part includes an elbow joint, a knee joint, a finger joint, a wrist joint, an ankle joint, and the like.
In this example, before pushing the fitness plan, the intelligent electronic device determines, through the general-purpose processor, a target body part to be worn by the fitness equipment according to the prepared fitness plan, and then pushes the fitness equipment corresponding to the target body part to the user, thereby improving the fitness safety.
Further, after obtaining the body-building protective equipment, when the intelligent electronic device shows the body-building plan to the body-building user through the display screen, the body-building protective equipment corresponding to the target body part is synchronously shown to the body-building user, and the wearing mode of the body-building protective equipment is shown, so that the body-building safety of the body-building user in the body-building process is improved.
In some possible embodiments, the intelligent electronic device obtains a fitness duration corresponding to the fitness plan through the general processor, obtains total energy consumed by the fitness plan according to the fitness duration, then obtains a plurality of body parts acted by the fitness plan, distributes the total energy to the body parts, obtains sub-energies corresponding to the body parts respectively, and finally determines a maximum energy consumed by each body part according to the body parameters, and if the sub-energy is greater than the maximum energy, takes the body part as a target body part, wherein a preset mapping relationship exists between the body parameters and the energy consumption.
In some possible embodiments, the implementation process of the intelligent electronic device determining, by the general purpose processor, the sub-energies consumed by each body part according to the total energy and the motion amplitude of each body part may be: the intelligent electronic equipment acquires the action amplitude of each body part in the fitness plan through the general processor; distributing the total energy to each body part according to the action amplitude of each body part to obtain the sub-energy corresponding to each body part; determining the maximum energy that each body part can consume according to the body parameters; and comparing the sub energy corresponding to each body part with the maximum energy capable of being consumed to obtain the target body part.
Specifically, since different body parts have different motion ranges in the fitness plan and consume different amounts of energy, the total energy can be distributed according to the motion range corresponding to each body part.
For example, if the exercise plan is running exercise, the total energy corresponding to the exercise plan is w, and the body parts acting in the running exercise are ankle joint, knee joint, wrist joint and elbow joint, it can be known from big data analysis that the exercise range of the knee joint is a, the exercise range of the ankle joint is a, the exercise range of the elbow joint is b, and the exercise range of the wrist joint is c, where a > b > c, so the sub-energy divided by each body part is: the sub-energies of knee joint and ankle joint are w × a/(2a + b + c), the sub-energy of elbow joint w × b/(2a + b + c), and the sub-energy of wrist joint w × c/(2a + b + c).
In some possible embodiments, the intelligent electronic device further comprises a speaker, and the fitness plan comprises a plurality of fitness items, the method further comprising: the intelligent electronic equipment acquires the music history playing record of the fitness user through the general processor; acquiring a motion type and a motion frequency corresponding to each fitness item in a plurality of fitness items; acquiring a motion type corresponding to each fitness item and a music type corresponding to the motion frequency; selecting music tracks matched with the motion types and the motion frequency music types corresponding to the fitness items from the music library according to the music types; if the fitness user is detected to execute the fitness plan, the intelligent electronic equipment plays music tracks matched with each fitness item through the loudspeaker
In this example, when the fitness plan is pushed, the intelligent electronic device obtains the music tracks corresponding to each fitness item, so that when the user executes each fitness item, the music tracks corresponding to each fitness item are played, the mood of the user during fitness is improved, and the fitness efficiency is improved.
In some possible embodiments, after the intelligent electronic device obtains, through the general-purpose processor, the fitness plan corresponding to the physical parameter according to the output result, the method further includes: the intelligent electronic equipment acquires the favorite motion types of the fitness users and the body parts of the fitness users expected to exercise through the general processor; the fitness items in the fitness plan are sequenced according to the exercise type and the body part expected to be exercised to obtain a sequencing result, namely the sequencing result is matched with the exercise type, the fitness items capable of exercising the body part expected by the fitness user are arranged in the front row, the other fitness items are arranged next to the front row, the sequencing result is displayed to the fitness user through a display screen, prompt information is displayed, and the fitness user is prompted to exercise according to the sequencing result through the prompt information.
In this example, the fitness items are ordered, so that the fitness user can be made aware of the importance of each fitness item, thereby improving the fitness experience of the user during fitness.
Referring to fig. 3, fig. 3 is a schematic flow chart of another fitness plan generating method provided in the embodiment of the present application, where the fitness plan generating method is applied to an intelligent electronic device including a physiological parameter acquiring device, an artificial intelligence chip, a general processor, and a display screen, and the method includes, but is not limited to, the following steps:
301: the intelligent electronic equipment acquires the body parameters of the fitness user through the physiological parameter acquisition device.
302: the intelligent electronic equipment forms the body parameters into input data through the general processor and transmits the input data to the artificial intelligence chip.
303: the intelligent electronic equipment performs neural network operation on input data through the artificial intelligence chip to obtain an output result.
304: and the intelligent electronic equipment obtains a fitness plan corresponding to the body parameters according to the output result through the general processor.
305: the intelligent electronic equipment determines the total energy consumed by the fitness user to execute the fitness plan according to the fitness plan through the general processor, and determines the target body part of the fitness user according to the total energy and the body parameters.
306: the intelligent electronic equipment obtains the fitness protector corresponding to the target body part through the general processor.
307: the intelligent electronic equipment displays the target body part and the fitness protector corresponding to the target body part through the display screen.
It can be seen that, in the embodiment of the application, the fitness plan corresponding to the user can be quickly generated according to the body parameters of the user, so that targeted fitness is realized, and the fitness experience of the user is improved; moreover, the fitness plan is automatically generated, professional fitness can be realized without professional fitness trainers, and the fitness cost is reduced; and after the fitness plan is generated, a corresponding fitness protector is recommended for the target body part of the user, so that the safety in the fitness process is improved, and the body health of the user is protected.
It should be noted that, the specific implementation of the steps of the method shown in fig. 3 can be referred to the specific implementation of the method shown in fig. 2, and will not be described here.
Referring to fig. 4, fig. 4 is a schematic flow chart of another fitness plan generating method provided in the embodiment of the present application, where the fitness plan generating method is applied to an intelligent electronic device including a physiological parameter acquiring device, an artificial intelligence chip, a general processor, and a display screen, and the method includes, but is not limited to, the following steps:
401: the intelligent electronic equipment acquires the body parameters of the fitness user through the physiological parameter acquisition device.
402: the intelligent electronic equipment forms the body parameters into input data through the general processor and transmits the input data to the artificial intelligence chip.
403: the intelligent electronic equipment performs neural network operation on input data through the artificial intelligence chip to obtain an output result.
404: and the intelligent electronic equipment obtains a fitness plan corresponding to the body parameters according to the output result through the general processor.
405: the intelligent electronic equipment determines the total energy consumed by the fitness user to execute the fitness plan according to the fitness plan through the general processor, and determines the target body part of the fitness user according to the total energy and the body parameters.
406: the intelligent electronic equipment obtains the fitness protector corresponding to the target body part through the general processor.
407: the intelligent electronic equipment displays the target body part and the fitness protector corresponding to the target body part through the display screen.
408: the intelligent electronic equipment obtains the motion type and the motion frequency corresponding to each fitness item in a plurality of fitness items through the general processor.
409: the intelligent electronic equipment obtains the music type corresponding to the motion type and the motion frequency corresponding to each fitness item through the general processor, and selects the music track matched with the music type corresponding to the motion type and the motion frequency corresponding to each fitness item from the music library according to the music type.
410: if it is detected that the fitness user is executing the fitness program, the intelligent electronic device plays music tracks matched with each fitness item through the loudspeaker.
It can be seen that, in the embodiment of the present application, a fitness plan corresponding to a user can be quickly generated according to the body parameters of the user, so that targeted fitness is realized, and the fitness experience of the user is improved; moreover, the fitness plan is automatically generated, professional fitness can be realized without professional fitness trainers, and the fitness cost is reduced; after the fitness plan is generated, a corresponding fitness protector is recommended for the target body part of the user, so that the safety in the fitness process is improved, and the body health of the user is protected; in addition, when the user executes the fitness plan, the matched music tracks are played for the user, so that the fitness mood of the user is adjusted, and the fitness efficiency is improved.
It should be noted that, the specific implementation of the steps of the method shown in fig. 4 can be referred to the specific implementation of the method shown in fig. 2, and will not be described here.
Referring to fig. 5 in accordance with the embodiments shown in fig. 2, fig. 3, and fig. 4, fig. 5 is a schematic structural diagram of an intelligent electronic device 500 provided in an embodiment of the present application, and as shown in fig. 5, the intelligent electronic device 500 includes a processor, a memory, a communication interface, and one or more programs, where the one or more programs are different from the one or more application programs, and the one or more programs are stored in the memory and configured to be executed by the processor, and the program includes instructions for performing the following steps:
acquiring body parameters of a fitness user through a physiological parameter acquisition device;
forming body parameters into input data through a general processor, and transmitting the input data to an artificial intelligence chip;
carrying out neural network operation on input data through an artificial intelligence chip to obtain an output result;
and obtaining a fitness plan corresponding to the body parameters according to the output result through the general processor.
In some possible embodiments, the output result comprises a target feature vector corresponding to the input data, and the program is specifically configured to execute the following steps in obtaining a fitness plan corresponding to the physical parameter based on the output result:
classifying the target characteristic vectors to obtain the probability that the target characteristic vectors fall into each preset constitution grade, and taking the constitution grade corresponding to the maximum probability as a classification result;
and obtaining the fitness plan corresponding to the fitness user according to the mapping relation between the fitness plan and the physique grades and the classification result.
In some possible embodiments, the program is further configured to, after obtaining the fitness plan corresponding to the physical parameter based on the output, execute the instructions of:
determining the total energy consumed by the fitness user to execute the fitness plan according to the fitness plan;
determining a target body part of the fitness user according to the total energy and the body parameters;
acquiring a fitness protector corresponding to a target body part;
and displaying the target body part and the fitness protector corresponding to the target body part.
In some possible embodiments, the above program is specifically directed to instructions for performing the following steps in determining a target body part of the exercising user based on the total energy and the physical parameter:
determining the action amplitude of each body part when the fitness user executes the fitness plan;
determining the sub energy consumed by each body part according to the total energy and the action amplitude of each body part;
determining the maximum energy which can be consumed by each body part of the fitness user according to the mapping relation among the body parameters, the fitness plan and the energy consumption;
and comparing the sub-energy corresponding to each body part with the maximum energy capable of being consumed to obtain the target body part of the fitness user.
In some possible embodiments, the exercise program includes a plurality of exercise programs, the program further being for instructions to:
acquiring a motion type and a motion frequency corresponding to each fitness item in a plurality of fitness items;
acquiring a motion type corresponding to each fitness item and a music type corresponding to the motion frequency;
selecting music tracks matched with the motion types and the motion frequency music types corresponding to the fitness items from the music library according to the music types;
if it is detected that the fitness user is executing the fitness program, a music track matching each fitness item is played.
Referring to fig. 6, fig. 6 is a block diagram illustrating functional units of an intelligent electronic device according to an embodiment of the present application, where the intelligent electronic device 600 includes: a physiological parameter acquisition device 610, an artificial intelligence chip 620 and a general processor 630;
a physiological parameter acquiring device 610 for acquiring the body parameters of the fitness user;
a general processor 630 for composing the body parameters into input data and transmitting the input data to the artificial intelligence chip;
the artificial intelligence chip 620 is used for performing neural network operation on input data to obtain an output result;
and the general processor 630 obtains the fitness plan corresponding to the physical parameters according to the output result.
In some possible embodiments, the output result includes a target feature vector corresponding to the input data, and in obtaining the fitness plan corresponding to the physical parameter according to the output result, the general process 630 is specifically configured to:
classifying the target characteristic vectors to obtain the probability that the target characteristic vectors fall into each preset constitution grade, and taking the constitution grade corresponding to the maximum probability as a classification result;
and obtaining the fitness plan corresponding to the fitness user according to the mapping relation between the fitness plan and the physique grades and the classification result.
In some possible embodiments, the intelligent electronic device 600 further comprises a display screen 640, after the general processor 630 obtains the fitness plan corresponding to the physical parameter according to the output result,
a general purpose processor 630, further configured to determine, from the fitness plan, a total energy consumed by the fitness user to execute the fitness plan; determining a target body part of the fitness user according to the total energy and the body parameters; acquiring a fitness protector corresponding to a target body part;
and the display screen 640 is used for displaying the target body part and the fitness protector corresponding to the target body part.
In some possible embodiments, in determining the target body part of the exercising user based on the total energy and the physical parameter, the general processor 630 is specifically configured to:
determining the action amplitude of each body part when the fitness user executes the fitness plan;
determining the sub energy consumed by each body part according to the total energy and the action amplitude of each body part;
determining the maximum energy which can be consumed by each body part of the fitness user according to the mapping relation among the body parameters, the fitness plan and the energy consumption;
and comparing the sub-energy corresponding to each body part with the maximum energy capable of being consumed to obtain the target body part of the fitness user.
In some possible embodiments, intelligent electronic device 600 further includes a speaker 650, the fitness plan including a plurality of fitness items,
the general processor 630 is further configured to obtain a motion type and a motion frequency corresponding to each of the plurality of fitness items; acquiring a motion type corresponding to each fitness item and a music type corresponding to the motion frequency; selecting music tracks matched with the motion types and the motion frequency music types corresponding to the fitness items from the music library according to the music types;
if it is detected that the fitness user is performing a fitness program, speaker 650 is used to play music tracks matching each fitness item.
Embodiments of the present application provide a computer-readable storage medium for storing a computer program, where the computer program is executed by a processor to implement part or all of the steps of any one of the methods described in the above method embodiments, and the computer includes an intelligent electronic device.
Embodiments of the present application provide a computer program product comprising a non-transitory computer readable storage medium storing a computer program operable to cause a computer to perform some or all of the steps of any of the methods as described in the above method embodiments. The computer program product may be a software installation package, said computer comprising an intelligent electronic device.
It should be noted that, for simplicity of description, the above-mentioned method embodiments are described as a series of acts or combination of acts, but those skilled in the art will recognize that the present application is not limited by the order of acts described, as some steps may occur in other orders or concurrently depending on the application. Further, those skilled in the art should also appreciate that the embodiments described in the specification are exemplary embodiments and that the acts and modules referred to are not necessarily required in this application.
In the foregoing embodiments, the descriptions of the respective embodiments have respective emphasis, and for parts that are not described in detail in a certain embodiment, reference may be made to related descriptions of other embodiments.
In the embodiments provided in the present application, it should be understood that the disclosed apparatus may be implemented in other manners. For example, the above-described embodiments of the apparatus are merely illustrative, and for example, a division of a unit is merely a logical division, and an actual implementation may have another division, for example, a plurality of units or components may be combined or integrated into another system, or some features may be omitted, or not executed. In addition, the shown or discussed mutual coupling or direct coupling or communication connection may be an indirect coupling or communication connection of some interfaces, devices or units, and may be an electric or other form.
Units described as separate parts may or may not be physically separate, and parts displayed as units may or may not be physical units, may be located in one place, or may be distributed on a plurality of network units. Some or all of the units can be selected according to actual needs to achieve the purpose of the solution of the embodiment.
In addition, functional units in the embodiments of the present application may be integrated into one processing unit, or each unit may exist alone physically, or two or more units are integrated into one unit. The integrated unit may be implemented in the form of hardware, or may be implemented in the form of a software program module.
The integrated units, if implemented in the form of software program modules and sold or used as stand-alone products, may be stored in a computer readable memory. Based on such understanding, the technical solution of the present application may be substantially implemented or a part of or all or part of the technical solution contributing to the prior art may be embodied in the form of a software product stored in a memory, and including several instructions for causing a computer device (which may be a personal computer, a server, or a network device) to execute all or part of the steps of the method of the embodiments of the present application. And the aforementioned memory comprises: a U-disk, a Read-Only Memory (ROM), a Random Access Memory (RAM), a removable hard disk, a magnetic disk, or an optical disk, which can store program codes.
Those skilled in the art will appreciate that all or part of the steps in the methods of the above embodiments may be implemented by associated hardware instructed by a program, which may be stored in a computer-readable memory, which may include: flash Memory disks, Read-Only memories (ROMs), Random Access Memories (RAMs), magnetic or optical disks, and the like.
The foregoing detailed description of the embodiments of the present application has been presented to illustrate the principles and implementations of the present application, and the above description of the embodiments is only provided to help understand the method and the core concept of the present application; meanwhile, for a person skilled in the art, according to the idea of the present application, there may be variations in the specific embodiments and application scope, and in summary, the content of the present specification should not be construed as a limitation to the present application.
Claims (10)
1. A method for generating a fitness plan is applied to intelligent electronic equipment comprising a physiological parameter acquisition device, an artificial intelligence chip and a general processor, and comprises the following steps:
acquiring body parameters of a fitness user through the physiological parameter acquisition device;
forming the body parameters into input data through the general processor, and transmitting the input data to the artificial intelligence chip;
carrying out neural network operation on the input data through the artificial intelligence chip to obtain an output result;
and obtaining a fitness plan corresponding to the body parameters according to the output result through the general processor.
2. The method of claim 1, wherein the output result comprises a target feature vector corresponding to the input data, and wherein deriving, by the general purpose processor, a fitness plan corresponding to the physical parameter from the output result comprises:
classifying the target characteristic vectors through the general processor to obtain the probability that the target characteristic vectors fall into each preset constitution grade, and taking the constitution grade corresponding to the maximum probability as a classification result;
and obtaining the fitness plan corresponding to the fitness user according to the mapping relation between the fitness plan and the physique grade and the classification result by the general processor.
3. The method of claim 1 or 2, wherein the intelligent electronic device further comprises a display screen, and wherein after the obtaining, by the general purpose processor, the fitness plan corresponding to the physical parameter from the output result, the method further comprises:
determining, by the general purpose processor, a total energy consumed by the fitness user to execute the fitness plan according to the fitness plan;
determining, by the general purpose processor, a target body part of the fitness user from the total energy and the physical parameter;
acquiring, by the general purpose processor, a fitness supporter corresponding to the target body part;
and displaying the target body part and the fitness protector corresponding to the target body part through the display screen.
4. The method of claim 3, wherein said determining, by said general purpose processor, a target body part of said exercising user from said total energy and said body parameter comprises:
determining, by the general purpose processor, a magnitude of motion of each body part of the fitness user while executing the fitness plan;
determining, by the general purpose processor, a sub-energy consumed by each body part as a function of the total energy and an amplitude of motion of each body part;
determining, by the general purpose processor, a maximum energy that can be consumed by each body part of the fitness user according to a mapping relationship between body parameters, a fitness plan, and energy consumption;
and comparing the sub-energy corresponding to each body part with the maximum energy capable of being consumed by the general processor to obtain the target body part of the fitness user.
5. The method of any of claims 1-4, wherein the intelligent electronic device further comprises a speaker, wherein the fitness plan comprises a plurality of fitness items, and wherein the method further comprises:
acquiring the motion type and the motion frequency corresponding to each fitness item in the plurality of fitness items through the general processor;
acquiring a motion type and a music type corresponding to the motion frequency corresponding to each fitness item through the general processor;
selecting music tracks matched with the motion types and the music types of the motion frequencies corresponding to the fitness items from a music library through the general processor according to the music types;
if it is detected that the workout user is executing the workout plan, a music track matching each workout is played through the speakers.
6. The intelligent electronic equipment is characterized by comprising a physiological parameter acquisition device, an artificial intelligence chip and a general processor, wherein:
the physiological parameter acquisition device is used for acquiring body parameters of the fitness user;
the general processor is used for forming the body parameters into input data and transmitting the input data to the artificial intelligence chip
The artificial intelligence chip is used for carrying out neural network operation on the input data to obtain an output result;
and the general processor is used for obtaining a fitness plan corresponding to the body parameters according to the output result.
7. The intelligent electronic device of claim 6, wherein the output result comprises a target feature vector corresponding to the input data;
in terms of obtaining a fitness plan corresponding to the physical parameter according to the output result, the general processor is specifically configured to:
classifying the target characteristic vectors to obtain the probability that the target characteristic vectors fall into each preset constitution grade, and taking the constitution grade corresponding to the maximum probability as a classification result;
and obtaining a fitness plan corresponding to the fitness user according to the mapping relation between the fitness plan and the physique grades and the classification result.
8. The intelligent electronic device according to claim 6 or 7, further comprising a display screen, wherein after obtaining a fitness plan corresponding to the physical parameter according to the output result,
the general purpose processor further configured to determine, from the fitness plan, a total energy consumed by the fitness user to execute the fitness plan;
the general purpose processor is further configured to determine a target body part of the fitness user based on the total energy and the physical parameter;
the general processor is further used for acquiring a fitness protector corresponding to the target body part;
the display screen is also used for displaying the target body part and the fitness protector corresponding to the target body part.
9. The intelligent electronic device according to claim 8, wherein the general purpose processor, in determining the target body part of the fitness user from the total energy and the physical parameter, is specifically configured to:
determining the action amplitude of each body part when the fitness user executes the fitness plan;
determining the sub energy consumed by each body part according to the total energy and the action amplitude of each body part;
determining the maximum energy which can be consumed by each body part of the fitness user according to the mapping relation among the body parameters, the fitness plan and the energy consumption;
and comparing the sub energy corresponding to each body part with the maximum energy capable of being consumed to obtain the target body part of the fitness user.
10. A computer-readable storage medium, characterized in that the computer-readable storage medium stores a computer program which is executed by a processor to implement the method according to any one of claims 1-5.
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