CN116726457A - Personalized intelligent strength adjusting method of strength type body-building equipment - Google Patents
Personalized intelligent strength adjusting method of strength type body-building equipment Download PDFInfo
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- A—HUMAN NECESSITIES
- A63—SPORTS; GAMES; AMUSEMENTS
- A63B—APPARATUS FOR PHYSICAL TRAINING, GYMNASTICS, SWIMMING, CLIMBING, OR FENCING; BALL GAMES; TRAINING EQUIPMENT
- A63B24/00—Electric or electronic controls for exercising apparatus of preceding groups; Controlling or monitoring of exercises, sportive games, training or athletic performances
- A63B24/0087—Electric or electronic controls for exercising apparatus of groups A63B21/00 - A63B23/00, e.g. controlling load
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- A—HUMAN NECESSITIES
- A63—SPORTS; GAMES; AMUSEMENTS
- A63B—APPARATUS FOR PHYSICAL TRAINING, GYMNASTICS, SWIMMING, CLIMBING, OR FENCING; BALL GAMES; TRAINING EQUIPMENT
- A63B24/00—Electric or electronic controls for exercising apparatus of preceding groups; Controlling or monitoring of exercises, sportive games, training or athletic performances
- A63B24/0062—Monitoring athletic performances, e.g. for determining the work of a user on an exercise apparatus, the completed jogging or cycling distance
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- A—HUMAN NECESSITIES
- A63—SPORTS; GAMES; AMUSEMENTS
- A63B—APPARATUS FOR PHYSICAL TRAINING, GYMNASTICS, SWIMMING, CLIMBING, OR FENCING; BALL GAMES; TRAINING EQUIPMENT
- A63B24/00—Electric or electronic controls for exercising apparatus of preceding groups; Controlling or monitoring of exercises, sportive games, training or athletic performances
- A63B24/0075—Means for generating exercise programs or schemes, e.g. computerized virtual trainer, e.g. using expert databases
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Abstract
The invention relates to the field of fitness equipment, and particularly discloses a personalized intelligent strength adjusting method of strength type fitness equipment, which comprises an AI (advanced technology interface) capability layer, a service layer, an interaction channel and an application layer, wherein the AI capability layer comprises a voice recognition module, an artificial intelligent algorithm library, a user portrait module and a course action map module; the service layer comprises a command word recognition module, a physical ability evaluation module, an action completion degree detection module, a muscle group bearing capacity prediction module, a course intensity recommendation module, an action strength prediction module and a motion data acquisition module, and an interaction channel. The invention can fully utilize the voice recognition technology, the user portrait, the knowledge graph and the artificial intelligence algorithm to provide more personalized body-building training service for the user, and can enjoy real-time accurate automatic strength adjustment in the body-building process, so that the user can concentrate on the body-building itself more, and the body-building is more efficient and scientific.
Description
Technical Field
The invention relates to the field of fitness equipment, in particular to a personalized intelligent strength adjusting method of strength type fitness equipment.
Background
Currently, some people use an exerciser device in gyms to enhance their muscle strength. However, each person's physical condition and fitness goals are different and therefore require different strength training programs. Existing strength training equipment generally only provides a set of fixed weights, and cannot meet the needs of different people. Some intelligent strength body-building equipment is through interface control mode, if the user feels tired, can carry out strength adjustment through touchable interface, but this kind of mode of relying on user's perception to carry out strength adjustment not only can let the user try strength constantly and waste time, can not concentrate on body-building training very much. Moreover, if the user is a body-building white or is recovering the body, it is easily injured. Some strength exercise equipment can make the user perform individual quality test before the user uses, and then recommend proper strength to the user according to the test result. However, some users may skip this link and over time such physical testing may fail.
As more and more intelligent strength exercise equipment enters public families and public exercise places, different people have different physique, exercise targets are different, if some family members need to recover after illness or after childbirth, and if some family members need to lose weight and increase muscles. The existing intelligent force adjustment only provides fixed weight, or dynamically sets weight according to action and target rules, and cannot recommend proper force values in real time in fine granularity. Some strength fitness equipment with live APP, such as spinning, can perform unified strength adjustment according to live broadcast of a coach or a touchable interface; however, these strength adjustments do not meet the strength training needs of different people, and the user cannot efficiently focus on fitness training; the individual can evaluate the strength of the strength fitness equipment, and then the proper strength is recommended to the user through the test result; however, some users may skip this link and over time such physical testing may fail.
Therefore, we propose a personalized strength adjustment method of a strength-type fitness device, which can provide a personalized strength training plan according to the physical condition and fitness goal of the user, and automatically adjust the weight in real time.
Disclosure of Invention
The invention aims to provide a personalized intelligent strength adjusting method of strength type body-building equipment, which aims to solve the problem that in the background art, personalized adjustment cannot be carried out according to the conditions of a customer.
In order to achieve the above objective, in a first aspect, the present invention provides a personalized intelligent power adjustment method for a power-type fitness device, including an AI capability layer, a service layer, an interaction channel and an application layer, where the AI capability layer includes a speech recognition module, an artificial intelligent algorithm library module, a user portrait module and a course action map module; the AI capability layer is in butt joint with a public cloud voice recognition module, an artificial intelligence algorithm library, a user portrait module and a course action map module, provides AI capability service, provides a voice recognition function, a recommendation algorithm, a regression prediction algorithm library and the like, and supports a recommended course action map and a user portrait;
and a voice recognition module: the assistant integrates mature public cloud voice recognition engine service on the market, can recognize mandarin and English in real time, and has recognition accuracy up to more than 95%. The voice of the user is acquired by the pickup device and uploaded to the voice recognition engine server, and the server returns a text result of voice transcription for subsequent processing;
an artificial intelligence algorithm library module: using a machine learning algorithm to establish a model of muscle group strength-load assessment, and training and fitting the exercise data characteristics and the maximum load;
a user portrait module: establishing a physical ability evaluation grade model according to the user image and the machine learning algorithm;
the course action pattern module belongs to public cloud service and is used for configuring and managing actions to be trained and course contents, after the system is connected with the course action pattern module, basic information and movement history data of a user can be input into a recommendation model based on a knowledge pattern, and the model returns to a relevant course for recommending the user to train;
the service layer comprises a command word recognition module, a physical ability evaluation module, an action completion degree detection module, a muscle group bearing capacity prediction module, a course intensity recommendation module, an action force prediction module and a motion data acquisition module, wherein the service layer uses an AI (analog input) capability layer integrated voice recognition module, an artificial intelligent algorithm library module, a user portrait module, a course action map module and the like to provide services such as voice interaction, physical ability evaluation, course intensity recommendation, action force prediction and the like for the whole system, so that the system can recognize the voice of a user, convert the voice of the user into a text, understand how much force the user needs to initialize, increase or decrease, then transmit the command to a motor system of intelligent force fitness equipment, and the motor system receives the command and can automatically adjust the force;
the interaction channel comprises pickup equipment, a touch screen module, a camera and a sensor, and the interaction channel refers to an interaction path between the system and the outside and between the system and a user;
the application layer comprises a voice awakening module, a voice interaction module, a touch module, a course plan recommending module, an action strength adjusting module and a course strength adjusting module, and the application functions provide services for users through interaction channels.
In a further embodiment, the voice wake-up module may be in a standby state at ordinary times, and the user may wake up the system using a specific keyword to enter a man-machine interaction state.
In a further embodiment, the primary function of the voice interaction module system is voice interaction, including command control, question-answering and multiple rounds of dialogue of the person with the system.
In a further embodiment, the touch module enables the user to make force adjustments by clicking on a touch screen of the exercise device terminal.
In a further embodiment, the course plan recommendation module performs relevant course recommendation according to the user information, the historical training data and the fitness target, and achieves personalized customization of appropriate courses for different users.
In a further embodiment, the action force adjustment module, the system recommends the recommended force range of the action in each course according to the user information, the user starts to exercise training in the specific course and the recommended force range, and the artificial intelligence algorithm predicts the appropriate force value in real time according to the running information data along with the information changes such as the movement duration, the calorie consumption and the action speed, and then applies or reduces the force under the condition of being accepted by the user, so that the user can more efficiently complete the final exercise goal.
In a further embodiment, the course intensity adjustment module recommends dynamically adjustable course difficulty using an artificial intelligence algorithm to change the overall exercise intensity according to the overall training history data and the current course exercise state data of the user after the user finishes the current training course.
In a further embodiment, the motion force adjustment module predicts and adjusts the force during the user's motion in real time.
In a further embodiment, the main function of the voice interaction module system is voice interaction, comprising a command recognition control device of the human and system, and the force of the motor of the exercise equipment is regulated through command word recognition.
Compared with the prior art, the invention has the beneficial effects that:
in the invention, the intelligent voice technology and the artificial intelligent algorithm are utilized to realize personalized strength adjustment of the strength type body-building equipment, the whole process of user body-building can be tracked, the proper strength value and automatic strength adjustment can be predicted in real time, the user can also adjust the strength through the touch screen and voice auxiliary interaction, and the strength value and the strength of movement can be predicted in real time along with the movement state of the user; aiming at the household body-building environment, the invention has certain innovativeness and uniqueness in functions and algorithms, so that a user can enjoy professional strength body-building training service at home, and the invention is scientific and accurate and suitable for strength prediction and adjustment, and the user can more efficiently and concentrate on body-building.
Drawings
FIG. 1 is a schematic diagram of a system module of the present invention;
FIG. 2 is a flow chart of the system of the present invention.
Detailed Description
The following description of the embodiments of the present invention will be made clearly and completely with reference to the accompanying drawings, in which it is apparent that the embodiments described are only some embodiments of the present invention, but not all embodiments. All other embodiments, which can be made by those skilled in the art based on the embodiments of the invention without making any inventive effort, are intended to be within the scope of the invention.
Referring to fig. 1-2, in an embodiment of the present invention, a personalized intelligent power adjustment method for a power-type fitness device includes an AI capability layer, a service layer, an interaction channel, and an application layer, where the AI capability layer includes a speech recognition module, an artificial intelligent algorithm library module, a user portrait module, and a course action map module; the AI capability layer is in butt joint with a public cloud voice recognition module, an artificial intelligence algorithm library, a user portrait module and a course action map module, provides AI capability service, provides a voice recognition function, a recommendation algorithm, a regression prediction algorithm library and the like, and supports a recommended course action map and a user portrait;
and a voice recognition module: the assistant integrates mature public cloud voice recognition engine service on the market, can recognize mandarin and English in real time, and has recognition accuracy up to more than 95%. The voice of the user is acquired by the pickup device and uploaded to the voice recognition engine server, and the server returns a text result of voice transcription for subsequent processing;
an artificial intelligence algorithm library module: using machine learning algorithms, such as neural networks, support vector machines, and the like, building a model of muscle group strength-load assessment, training and fitting the motion data characteristics with the maximum load;
a user portrait module: establishing a physical ability evaluation level model according to user portraits and machine learning algorithms, such as a neural network, a decision tree and the like;
the course action pattern module belongs to public cloud service and is used for configuring and managing actions to be trained and course contents, after the system is connected with the course action pattern module, basic information and movement history data of a user can be input into a recommendation model based on a knowledge pattern, such as RippleNet, deepFM, and the model returns to a relevant course for recommending the user to train;
the service layer comprises a command word recognition module, a physical ability evaluation module, an action completion degree detection module, a muscle group bearing capacity prediction module, a course intensity recommendation module, an action force prediction module and a motion data acquisition module, wherein the service layer uses an AI (analog input) capability layer integrated voice recognition module, an artificial intelligent algorithm library module, a user portrait module, a course action map module and the like to provide services such as voice interaction, physical ability evaluation, course intensity recommendation, action force prediction and the like for the whole system, so that the system can recognize the voice of a user, convert the voice of the user into a text, understand how much force the user needs to initialize, increase or decrease, then transmit the command to a motor system of intelligent force fitness equipment, and the motor system receives the command and can automatically adjust the force; the exercise data acquisition is monitoring training data, and the training data of the user, including load, times, speed and the like, is monitored through a sensor built in the intelligent strength body-building equipment.
The interaction channel comprises pickup equipment, a touch screen module, a camera and a sensor, and the interaction channel refers to an interaction path between the system and the outside and between the system and a user; the system interacts with the touch screen mainly through natural language, gestures, bluetooth handles, and therefore pickup devices, cameras, sensors and touch screen devices are required.
The application layer comprises a voice awakening module, a voice interaction module, a touch module, a course plan recommending module, an action strength adjusting module and a course strength adjusting module, and the application functions provide services for users through interaction channels.
Referring to fig. 1, the voice wake-up module can be in a standby state at ordinary times, and a user can wake up the system by using specific keywords to enter a human-computer interaction state, wherein wake-up words are fixed, such as 'mental and mental', so that the user can memorize the words conveniently.
Referring to fig. 1, the main functions of the voice interaction module system are voice interaction, including command control, question and answer and multi-round dialogue between people and the system; based on voice recognition, voice synthesis, semantic understanding engine service and chatGPT interface, people and the system can communicate without obstacle through natural language, strength can be adjusted and controlled through command recognition instead of mechanical adjustment, and the main function of the voice interaction module system is voice interaction, and the voice interaction module system comprises command recognition control equipment of the people and the system, and strength of a motor of the fitness equipment is adjusted through command word recognition.
Referring to fig. 1, the touch module may be used by a user to perform force adjustment by clicking a touch screen of the exercise device terminal.
Referring to fig. 1, the course plan recommendation module performs relevant course recommendation according to user information, historical training data and fitness targets, so as to achieve personalized customization of appropriate courses for different users.
Referring to fig. 1, the action force adjusting module, the system recommends a recommended force range of the action in each course according to the user information, the user starts to exercise training in a specific course and the recommended force range, and the artificial intelligence algorithm predicts the appropriate force value in real time according to the running information data along with the information changes such as the movement duration, the calorie consumption and the action speed, and then applies or reduces force under the condition of being accepted by the user, so that the user can more efficiently complete the final exercise goal, and the action force adjusting module predicts and adjusts the force in the movement process of the user in real time.
Referring to fig. 1, the course intensity adjustment module, when the user finishes the current training course, the system recommends dynamically adjustable course difficulty according to the overall training history data and the current course movement state data of the user, so as to change the overall movement intensity by using an artificial intelligent algorithm; as if a personal trainer is adjusting the training intensity of a user, the course intensity adjusting module is used for adjusting the overall training intensity of a course, after training for a period of time from entering a course, the system can recommend the training intensity of the course to the middle level or the high level by using an artificial intelligent algorithm according to the overall training historical data of the user and the current exercise state data of the course.
A personalized intelligent force adjustment method for a force-type fitness device, comprising the steps of:
s1: the system is connected with WIFI after being started, a two-dimensional code at the bottom of the system equipment is required to be scanned by a mobile phone when the system is started for the first time, a WIFI configuration page is opened, the WIFI name detected by the system is selected, a password is input, a determination button is clicked to obtain the configured WIFI information, a system indicator lamp displays red when the WIFI is not connected, the system indicator lamp displays green after the system indicator lamp is connected with the WIFI, if a new user needs to register information such as the height, the weight, the sex, the age, the exercise preference and the like of the user, the user is recommended to do a plurality of basic actions, and the physical ability and the muscle group bearing strength range test of the user is comprehensively calculated according to the user completion condition and the body survey questionnaire. If the user is an old user, the code scanning is directly performed to log in;
s2: after the system is networked and logging is successful, recommending relevant courses according to the user information, the historical training data and the fitness target;
s3: the user selects one of the recommended courses to train, different action combinations are formed in the courses, and the system recommends the recommended strength range of the action in each course according to the user information. The user can also carry out the strength adjustment in a voice interaction mode by touching the screen;
s4: the user starts to exercise in a specific course and a suggested strength range, and along with the information changes such as movement duration, calorie consumption, movement speed and the like, the artificial intelligence algorithm predicts proper strength values in real time according to the operation information data, and then forces are added or subtracted under the condition that the user accepts, so that the user can more efficiently complete a final exercise target;
s5: after the user finishes the current training course, the system recommends dynamically adjustable course difficulty by using an artificial intelligent algorithm according to the whole training history data of the user and the current course movement state data so as to change the whole movement strength;
s6: ending the training or continuing the training, and repeating the flow from S3 to S5 if the training is continued.
It will be evident to those skilled in the art that the invention is not limited to the details of the foregoing illustrative embodiments, and that the present invention may be embodied in other specific forms without departing from the spirit or essential characteristics thereof. The present embodiments are, therefore, to be considered in all respects as illustrative and not restrictive, the scope of the invention being indicated by the appended claims rather than by the foregoing description, and all changes which come within the meaning and range of equivalency of the claims are therefore intended to be embraced therein. Any reference sign in a claim should not be construed as limiting the claim concerned.
Furthermore, it should be understood that although the present disclosure describes embodiments, not every embodiment is provided with a separate embodiment, and that this description is provided for clarity only, and that the disclosure is not limited to the embodiments described in detail below, and that the embodiments described in the examples may be combined as appropriate to form other embodiments that will be apparent to those skilled in the art.
Claims (9)
1. The personalized intelligent strength adjusting method of the strength type body-building equipment is characterized by comprising an AI capability layer, a service layer, an interaction channel and an application layer, wherein the AI capability layer comprises a voice recognition module, an artificial intelligent algorithm library module, a user portrait module and a course action map module; the AI capability layer is in butt joint with a public cloud voice recognition module, an artificial intelligence algorithm library, a user portrait module and a course action map module, provides AI capability service, provides a voice recognition function, a recommendation algorithm, a regression prediction algorithm library and the like, and supports a recommended course action map and a user portrait;
and a voice recognition module: the assistant integrates mature public cloud voice recognition engine service on the market, can recognize mandarin and English in real time, and has recognition accuracy up to more than 95%. The voice of the user is acquired by the pickup device and uploaded to the voice recognition engine server, and the server returns a text result of voice transcription for subsequent processing;
an artificial intelligence algorithm library module: using a machine learning algorithm to establish a model of muscle group strength-load assessment, and training and fitting the exercise data characteristics and the maximum load;
a user portrait module: establishing a physical ability evaluation grade model according to the user image and the machine learning algorithm;
the course action pattern module belongs to public cloud service and is used for configuring and managing actions to be trained and course contents, after the system is connected with the course action pattern module, basic information and movement history data of a user can be input into a recommendation model based on a knowledge pattern, and the model returns to a relevant course for recommending the user to train;
the service layer comprises a command word recognition module, a physical ability evaluation module, an action completion degree detection module, a muscle group bearing capacity prediction module, a course intensity recommendation module, an action force prediction module and a motion data acquisition module, wherein the service layer uses an AI (analog input) capability layer integrated voice recognition module, an artificial intelligent algorithm library module, a user portrait module, a course action map module and the like to provide services such as voice interaction, physical ability evaluation, course intensity recommendation, action force prediction and the like for the whole system, so that the system can recognize the voice of a user, convert the voice of the user into a text, understand how much force the user needs to initialize, increase or decrease, then transmit the command to a motor system of intelligent force fitness equipment, and the motor system receives the command and can automatically adjust the force;
the interaction channel comprises pickup equipment, a touch screen module, a camera and a sensor, and the interaction channel refers to an interaction path between the system and the outside and between the system and a user;
the application layer comprises a voice awakening module, a voice interaction module, a touch module, a course plan recommending module, an action strength adjusting module and a course strength adjusting module, and the application functions provide services for users through interaction channels.
2. The method for adjusting the personalized intelligent power of the power-type fitness equipment according to claim 1, wherein the voice wake-up module is capable of enabling a system to be in a standby state at ordinary times, and a user can wake up the system by using specific keywords to enter a man-machine interaction state.
3. The method for personalized intelligent power adjustment of a power-type fitness device of claim 1, wherein the primary function of the voice interaction module system is voice interaction, including command control, question-answer and multi-turn conversations of a person and a system.
4. The method for intelligent and personalized strength adjustment of a strength-type fitness equipment according to claim 1, wherein the touch module enables a user to perform strength adjustment by clicking a touch screen of the fitness equipment terminal.
5. The personalized intelligent strength adjustment method of a strength-type fitness device according to claim 1, wherein the course plan recommendation module performs relevant course recommendation according to user information, historical training data and fitness targets, and achieves personalized customization of appropriate courses for different users.
6. The personalized intelligent strength adjusting method of the strength type exercise equipment according to claim 1, wherein the action strength adjusting module, the system recommends the recommended strength range of the action in each course according to the user information, the user starts to exercise in specific courses and the recommended strength range, the artificial intelligent algorithm predicts the proper strength value in real time according to the running information data along with the information changes such as exercise duration, calorie consumption and action speed, and then applies force or reduces force under the condition of being accepted by the user, so that the user can more efficiently complete the final exercise goal.
7. The method for intelligent power adjustment of a power exercise apparatus according to claim 1, wherein the course intensity adjustment module recommends dynamically adjustable course difficulty using an artificial intelligence algorithm to change the overall exercise intensity based on the user's overall training history data and current course exercise status data after the user finishes the current training course.
8. The method for intelligent and personalized strength adjustment of a strength-type fitness device of claim 6, wherein the motion strength adjustment module predicts and adjusts the strength of the user during exercise in real time.
9. A personalized intelligent power adjustment method for a power-type fitness equipment according to claim 3, wherein the main function of the voice interaction module system is voice interaction, comprising a command recognition control device of a person and a system, and the power of a motor of the fitness equipment is adjusted through command word recognition.
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| CN202310561838.7A CN116726457A (en) | 2023-08-04 | 2023-08-04 | Personalized intelligent strength adjusting method of strength type body-building equipment |
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| CN202310561838.7A CN116726457A (en) | 2023-08-04 | 2023-08-04 | Personalized intelligent strength adjusting method of strength type body-building equipment |
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