AI intelligence and physical ability improving trainer

Abstract

The invention discloses an AI (artificial intelligence) intelligence and physical fitness improvement training device which comprises a lower limb training device, an upper limb training device, a crank assembly, a rocking handle and a controller, the lower limb training device is fixedly connected with the upper limb training device, and the upper limb training device is fixedly connected with the controller; the crank assembly can be adjusted according to the body type of a user, so that the training difficulty is reduced, the training effect is enhanced, and the sports injury risk is reduced; the personalized scheme making module synthesizes the user information and the physiological data to generate an initial training scheme, and optimizes the training scheme according to the user feedback and the user physiological data in the training process, so as to provide a scientific and reasonable personalized scheme for the user; a training effect evaluation module is used for evaluating by integrating the current training scheme and the standard training scheme, and feeding back a training result to the user in time; and the interestingness of the training process is enhanced through the learning and entertainment module, so that the user can synchronously carry out entertainment or learning during training.

Description

Technical Field

[0001] The present invention relates to the field of medical rehabilitation technology, and in particular to an AI intelligence and physical fitness improvement trainer. Background Art

[0002] In the field of medical rehabilitation, upper and lower limb rehabilitation training is crucial for the recovery of patients with motor dysfunction caused by diseases of the nervous system, bones and joints, and muscles and tendons. Existing upper and lower limb rehabilitation trainers mainly use resistance modules to apply positive and negative resistance to the upper and lower limb cranks to achieve passive motion training and assisted motion training, thereby achieving the effects of exercising, restoring upper and lower limb muscle strength, and improving joint mobility. However, existing upper and lower limb rehabilitation trainers still have the following disadvantages when used: 1. The upper and lower limb cranks of existing trainers cannot be adjusted, so they cannot adapt to the user's body shape. For tall users, their limb extension will be restricted during training and they will not be able to achieve a normal range of motion. This will not only result in the muscles not being fully exercised and affect the training effect, but may also put the body in an unnatural state of stress, which can easily cause muscle strains, joint pain and other sports injuries in the long run. For short users, overly long cranks will make them feel uncomfortable when operating the trainer. 1. Although the existing training devices can display training data, they cannot accurately provide users with personalized training plans. Generally, users determine the training intensity by themselves, which makes it easy for users to feel uncomfortable due to excessive training intensity, and it is also easy for users to fail to achieve the desired training effect due to too low training intensity. 2. The existing training devices cannot provide users with timely feedback on training results, which affects users' training enthusiasm and effect. 3. The existing training devices have single functions and lack of fun. Long-term repetitive and monotonous training can easily make users feel bored, reduce training compliance, and affect training effects. In addition, since it is impossible to carry out learning or other entertainment activities simultaneously during training, the user's disposable time is compressed, making it impossible for users to persist in training, further affecting the training effect. Summary of the invention

[0003] The purpose of the present invention is to provide an AI intelligence and physical fitness improvement trainer to solve the problems raised in the above background technology.

[0004] To achieve the above-mentioned objectives, the present invention provides the following technical solutions: an AI intelligence and physical fitness improvement trainer, comprising a lower limb trainer, an upper limb trainer, a crank assembly, a crank handle and a controller, wherein the lower limb trainer is fixedly connected to the upper limb trainer, the upper limb trainer is fixedly connected to the controller, and the controller is electrically connected to the lower limb trainer and the upper limb trainer respectively, the input ends of the lower limb trainer and the upper limb trainer are both equipped with crank assemblies, the crank assembly is equipped with a crank handle, the controller is provided with an intelligent control system, the intelligent control system comprises a human-computer interaction module, a training effect evaluation module, a data acquisition module, a data storage module, a personalized program formulation module and a learning and entertainment module, and the data storage module is data connected to the human-computer interaction module, the training effect evaluation module, the data acquisition module, the personalized program formulation module and the learning and entertainment module respectively, and the human-computer interaction module is equipped with a stereo sound system with a playback function.

[0005] Preferably, the two crank assemblies on the upper limb trainer are shaken by both hands, and the movement directions are opposite, and the two crank assemblies on the lower limb trainer are pedaled by both feet, and the movement directions are opposite, specifically: when one of the crank assemblies moves upward, the other crank assembly moves downward, thereby realizing coaxial reversal, the crank assembly includes a connecting block, a fixed block, a sleeve, a guide groove, a first guide block, a threaded rod, a connecting sleeve, a knob, a limit ring groove, a notch, a limit block and a second guide block, fixed blocks are fixedly connected to the outer walls of both sides of the connecting block, the fixed block is fixedly connected to the sleeve, the guide groove is provided in the sleeve, the first guide block is slidably connected in the guide groove, the first guide block is fixedly connected to the threaded rod, the other end of the threaded rod is fixedly connected to the connecting sleeve, and the crank handle is fixedly connected to one of the connecting sleeves, the threaded rod is threadedly connected to the knob, the knob is slidably connected to the limit block, the second guide block is fixedly connected to the limit block, and the second guide block is fixedly connected to the sleeve.

[0006] Preferably, a limit ring groove is provided on the knob, and the limit block is slidably connected in the limit ring groove, and a notch is provided on the limit ring groove.

[0007] Preferably, the data acquisition module includes a basic information entry unit, a physiological indicator acquisition unit and a training behavior acquisition unit. The basic information entry unit is used to enter the user's basic information, including age, gender, height, weight, upper and lower limb surgery conditions, and upper and lower limb sports injuries. The physiological indicator acquisition unit is used to collect physiological data, specifically including body fat, heart rate, heart beat, blood pressure and blood oxygen. The training behavior acquisition unit is used to collect training data, specifically including training resistance and training speed.

[0008] Preferably, the data storage module includes a learning and entertainment resource library, a user database and a standard training parameter library, the learning and entertainment resource library is used to store learning and entertainment resources, the user database is used to store user data, and the standard training parameter library is used to store standard training parameter templates.

[0009] Preferably, the personalized program formulation module includes an initial program generation unit and a program optimization unit, the initial program generation unit is used to generate training parameters that meet the user's basic information and physiological data, and the program optimization unit is used to optimize the training parameters.

[0010] Preferably, the training parameters include training resistance, training speed, time interval between each set of training, number of training sets and number of movements in each set, wherein the number of training sets and the number of movements in each set adopt standard training parameters that conform to the basic information and physiological data of the user, and the training resistance, training speed and time interval between each set of training are generated by one of genetic algorithm, particle swarm algorithm, simulated annealing algorithm and neural network algorithm.

[0011] Preferably, the scheme optimization unit includes a user feedback subunit, a physiological assessment subunit and a training intensity adjustment subunit. The user feedback subunit is used to obtain the user's evaluation of the training intensity after the stage training is completed. The physiological assessment subunit is used to evaluate the user's heart rate during the training process. The training intensity adjustment subunit is used to adjust the training parameters according to the data of the user feedback subunit and the physiological assessment subunit.

[0012] Preferably, the training parameters adjusted by the training intensity adjustment subunit specifically include training resistance, training speed and the time interval of each set of training, and are specifically calculated using the following formula:

[0013] The training resistance adjustment formula is:

[0014] R1=R2×(1+k1×F+k2×H)

[0015] Wherein, R2 is the current training resistance, R1 is the adjusted training resistance, k1 is the weight coefficient of the user feedback intensity score on the resistance adjustment, k2 is the weight coefficient of the heart rate score on the resistance adjustment, F is the user feedback intensity score, the value range is [-2, 2], -2 means the intensity is too strong, 0 means the intensity is normal, 2 means the intensity is too low, H is the heart rate score, the value range is [-2, 2], -2 means the heart rate continues to exceed the threshold range, 0 means the heart rate is normal, and 2 means the heart rate continues to be below the threshold range;

[0016] The training speed adjustment formula is:

[0017] V1=V2×(1+k3×F+k4×H)

[0018] Wherein, V2 is the current training speed, V1 is the adjusted training speed, k3 is the weight coefficient of the user feedback intensity score for speed adjustment, k4 is the weight coefficient of the heart rate score for speed adjustment, F is the user feedback intensity score, the value range is [-2, 2], -2 means the intensity is too strong, 0 means the intensity is normal, 2 means the intensity is too low, H is the heart rate score, the value range is [-2, 2], -2 means the heart rate continues to exceed the threshold range, 0 means the heart rate is normal, and 2 means the heart rate continues to be below the threshold range;

[0019] The time interval adjustment formula for each set of training is:

[0020] I1=I2×(1+k5×F+k6×H)

[0021] Among them, I2 is the current time interval of each set of training, I1 is the adjusted time interval of each set of training, k5 is the weight coefficient of the user feedback intensity score for the time interval adjustment, k6 is the weight coefficient of the heart rate condition score for the time interval adjustment, F is the user feedback intensity score, and the value range is [-2,2]. -2 means that the intensity is too strong, 0 means that the intensity is normal, and 2 means that the intensity is too low. H is the heart rate condition score, and the value range is [-2,2]. -2 means that the heart rate continues to exceed the threshold range, 0 means that the heart rate is normal, and 2 means that the heart rate continues to be below the threshold range.

[0022] Preferably, the learning and entertainment module includes a game unit, a learning unit and an incentive unit, the game unit is used to play training games, the learning unit is used to assist users in learning, and the incentive unit is used to obtain scores for games and learning and provide user rankings.

[0023] Compared with the prior art, the beneficial effects of the present invention are: the crank assembly of the present invention can be adjusted according to the user's body shape, thereby reducing the difficulty of training, enhancing the training effect, and reducing the risk of sports injuries; the personalized program formulation module integrates user information and physiological data to generate an initial training program, and optimizes the training program according to user feedback and the user's physiological data during training, so as to provide users with a scientific and reasonable personalized program; the training effect evaluation module is used to evaluate the current training program and the standard training program, and timely feedback the training results to the user; the fun of the training process is enhanced through the learning and entertainment module, so that users can entertain or learn simultaneously during training. BRIEF DESCRIPTION OF THE DRAWINGS

[0024] Figure 1 It is a schematic diagram of the overall three-dimensional structure of the present invention;

[0025] Figure 2 It is an exploded view of the three-dimensional structure of the crank assembly of the present invention;

[0026] Figure 3It is a schematic diagram of the three-dimensional structure of the threaded rod of the present invention;

[0027] Figure 4 It is a schematic diagram of the three-dimensional cutaway structure of the sleeve of the present invention;

[0028] Figure 5 It is a structural block diagram of the intelligent control system of the present invention;

[0029] Figure 6 It is a structural block diagram of the data acquisition module of the present invention;

[0030] Figure 7 It is a structural block diagram of the data storage module of the present invention;

[0031] Figure 8 Formulate a module structure diagram for the personalized solution of the present invention;

[0032] Fig. 9 This is a structural block diagram of the learning and entertainment module of the present invention.

[0033] In the figure: 1, lower limb trainer; 2, upper limb trainer; 3, crank assembly; 31, connecting block; 32, fixing block; 33, sleeve; 34, guide groove; 35, first guide block; 36, threaded rod; 37, connecting sleeve; 38, knob; 39, limit ring groove; 310, notch; 311, limit block; 312, second guide block; 4, crank; 5, controller; 6, intelligent control system; 61, human-computer interaction module; 62, training effect evaluation module; 63, data acquisition module; 631, basic information entry unit; 63 2. Physiological indicator collection unit; 633. Training behavior collection unit; 64. Data storage module; 641. Learning and entertainment resource library; 642. User database; 643. Standard training parameter library; 65. Personalized program formulation module; 651. Initial program generation unit; 652. Program optimization unit; 6521. User feedback subunit; 6522. Physiological assessment subunit; 6523. Training intensity adjustment subunit; 66. Learning and entertainment module; 661. Game unit; 662. Learning unit; 663. Incentive unit. DETAILED DESCRIPTION

[0034] The following will be combined with the drawings in the embodiments of the present invention to clearly and completely describe the technical solutions in the embodiments of the present invention. Obviously, the described embodiments are only part of the embodiments of the present invention, not all of the embodiments. Based on the embodiments of the present invention, all other embodiments obtained by ordinary technicians in this field without creative work are within the scope of protection of the present invention.

[0035] Please see attached Figure 1 -Attached Fig. 9, an embodiment provided by the present invention: an AI intelligence and physical fitness improvement trainer, comprising a lower limb trainer 1, an upper limb trainer 2, a crank assembly 3, a crank handle 4 and a controller 5, the lower limb trainer 1 is fixedly connected to the upper limb trainer 2, the upper limb trainer 2 is fixedly connected to the controller 5, and the controller 5 is electrically connected to the lower limb trainer 1 and the upper limb trainer 2 respectively, the input ends of the lower limb trainer 1 and the upper limb trainer 2 are both installed with crank assemblies 3, the crank assembly 3 is installed with the crank handle 4, and the controller 5 is provided with an intelligent control system 6, the intelligent control system 6 comprises a human-computer interaction module 61, a training effect evaluation module 62, a data acquisition module 63, a data storage module 64, a personalized program formulation module 65 and a learning and entertainment module 66, and the data storage module 64 is respectively connected to the human-computer interaction module 61, the training effect evaluation module 62, the data acquisition module 63, the personalized program formulation module 65 and the learning and entertainment module 66 establish data connection, the human-computer interaction module 61 is equipped with a stereo with a playback function, the lower limb trainer 1 is used to train the lower limbs, the upper limb trainer 2 is used to train the upper limbs, the crank assembly 3 is used to drive the lower limb trainer 1 and the upper limb trainer 2 by manpower to perform training, the crank 4 is used as a handle or a foot pedal, and the controller 5 is used to adjust the parameters of the lower limb trainer 1 and the upper limb trainer 2. In the intelligent control system 6, the human-computer interaction module 61 is used to provide voice, gesture and keyboard interactions, and is also used to display data. The training effect evaluation module 62 is used to integrate the current training program with the standard training program, evaluate the training results, and also to evaluate the improvement of brain power and intelligence. The data acquisition module 63 is used to collect data, the data storage module 64 is used to store data, the personalized program formulation module 65 is used to formulate a training program, and the learning and entertainment module 66 is used for learning or entertainment;The two crank assemblies 3 on the upper limb trainer 2 are shaken by both hands, and the movement directions are opposite. The two crank assemblies 3 on the lower limb trainer 1 are pedaled by both feet, and the movement directions are opposite. Specifically, when one crank assembly 3 moves upward, the other crank assembly 3 moves downward, thereby realizing coaxial reversal. The crank assembly 3 includes a connecting block 31, a fixed block 32, a sleeve 33, a guide groove 34, a first guide block 35, a threaded rod 36, a connecting sleeve 37, a knob 38, a limiting ring groove 39, a notch 310, a limiting block 311 and a second guide block 312. The outer walls on both sides of the connecting block 31 are fixedly connected to the fixed block 32, the sleeve 33 is fixedly connected to the fixed block 32, and a guide The guide groove 34 is provided with a first guide block 35 which is slidably connected therein. A threaded rod 36 is fixedly connected to the first guide block 35. The other end of the threaded rod 36 is fixedly connected to a connecting sleeve 37. The crank 4 is fixedly connected to one of the connecting sleeves 37. A knob 38 is threadedly connected to the threaded rod 36. A limit block 311 is slidably connected to the knob 38. The limit block 311 is fixedly connected to a second guide block 312. The second guide block 312 is fixedly connected to the sleeve 33. The knob 38 is turned to move along the threaded rod 36. The limit block 311 drives the second guide block 312. The second guide block 312 drives the sleeve 33. The sleeve 33 slides along the first guide block 35 through the guide groove 34, thereby The crank assembly 3 is adjusted; a limit ring groove 39 is provided on the knob 38, and the limit block 311 is slidably connected in the limit ring groove 39, and a notch 310 is provided on the limit ring groove 39, the limit ring groove 39 is used to limit the limit block 311, and the notch 310 is used to facilitate the disassembly and assembly of the limit block 311; the data acquisition module 63 includes a basic information input unit 631, a physiological index acquisition unit 632 and a training behavior acquisition unit 633, the basic information input unit 631 is used to input the user's basic information, including age, gender, height, weight, upper and lower limb surgery, upper and lower limb sports injuries, and the physiological index acquisition unit 632 is used to collect physiological data, including body fat, heart rate, heartbeat , blood pressure and blood oxygen, the training behavior collection unit 633 is used to collect training data, including training resistance and training speed; the data storage module 64 includes a learning and entertainment resource library 641, a user database 642 and a standard training parameter library 643, the learning and entertainment resource library 641 is used to store learning and entertainment resources, the user database 642 is used to store user data, and the standard training parameter library 643 is used to store standard training parameter templates; the personalized program formulation module 65 includes an initial program generation unit 651 and a program optimization unit 652, the initial program generation unit 651 is used to generate training parameters that meet the user's basic information and physiological data, and the program optimization unit 652 is used to optimize the training parameters;The training parameters include training resistance, training speed, time interval of each training group, number of training groups and number of movements of each group, wherein the number of training groups and number of movements of each group adopt standard training parameters that meet the basic information and physiological data of the user, and the training resistance, training speed and time interval of each training group are generated by one of genetic algorithm, particle swarm algorithm, simulated annealing algorithm and neural network algorithm; the program optimization unit 652 includes a user feedback subunit 6521, a physiological evaluation subunit 6522 and a training intensity adjustment subunit 6523, the user feedback subunit 6521 is used to obtain the user's evaluation of the training intensity after the stage training is completed, the physiological evaluation subunit 6522 is used to evaluate the user's heart rate during the training process, and the training intensity adjustment subunit 6523 is used to adjust the training parameters according to the data of the user feedback subunit 6521 and the physiological evaluation subunit 6522; the training parameters adjusted by the training intensity adjustment subunit 6523 specifically include training resistance, training speed and time interval of each training group, and specifically adopt the following formula:;

[0036] The training resistance adjustment formula is:

[0037] R1=R2×(1+k1×F+k2×H)

[0038] Wherein, R2 is the current training resistance, R1 is the adjusted training resistance, k1 is the weight coefficient of the user feedback intensity score on the resistance adjustment, k2 is the weight coefficient of the heart rate score on the resistance adjustment, F is the user feedback intensity score, the value range is [-2, 2], -2 means the intensity is too strong, 0 means the intensity is normal, 2 means the intensity is too low, H is the heart rate score, the value range is [-2, 2], -2 means the heart rate continues to exceed the threshold range, 0 means the heart rate is normal, and 2 means the heart rate continues to be below the threshold range;

[0039] The training speed adjustment formula is:

[0040] V1=V2×(1+k3×F+k4×H)

[0041] Wherein, V2 is the current training speed, V1 is the adjusted training speed, k3 is the weight coefficient of the user feedback intensity score for speed adjustment, k4 is the weight coefficient of the heart rate score for speed adjustment, F is the user feedback intensity score, the value range is [-2, 2], -2 means the intensity is too strong, 0 means the intensity is normal, 2 means the intensity is too low, H is the heart rate score, the value range is [-2, 2], -2 means the heart rate continues to exceed the threshold range, 0 means the heart rate is normal, and 2 means the heart rate continues to be below the threshold range;

[0042] The time interval adjustment formula for each set of training is:

[0043] I1=I2×(1+k5×F+k6×H)

[0044] Among them, I2 is the current time interval of each set of training, I1 is the adjusted time interval of each set of training, k5 is the weight coefficient of the user feedback intensity score for the time interval adjustment, k6 is the weight coefficient of the heart rate condition score for the time interval adjustment, F is the user feedback intensity score, and the value range is [-2,2], -2 means the intensity is too strong, 0 means the intensity is normal, and 2 means the intensity is too low, H is the heart rate condition score, and the value range is [-2,2], -2 means the heart rate continues to exceed the threshold range, 0 means the heart rate is normal, and 2 means the heart rate continues to be below the threshold range; the learning and entertainment module 66 includes a game unit 661, a learning unit 662 and an incentive unit 663, the game unit 661 is used to play training games, the learning unit 662 is used to assist users in learning, and the incentive unit 663 is used to obtain game and learning scores and provide user rankings.

[0045] Working principle: When using the present invention, the crank assembly 3 can be adjusted to adapt to the user's body shape. The specific method is: turn the knob 38, the knob 38 moves along the threaded rod 36, and drives the second guide block 312 through the limit block 311, the second guide block 312 drives the sleeve 33, and the sleeve 33 slides along the first guide block 35 through the guide groove 34, thereby realizing the adjustment of the crank assembly 3, wherein the connecting block 31 is used to connect the fixing block 32, the connecting sleeve 37 is used to connect the input shafts of the lower limb trainer 1 and the upper limb trainer 2, and is also used to install the crank handle 4, the lower limb trainer 1 is used to train the lower limbs, and the upper limb trainer 2 is used to train the upper limbs, the limiting ring groove 39 is used to limit the limiting block 311, the notch 310 is used to facilitate the installation of the limiting block 311, and the controller 5 is used to adjust the parameters of the lower limb trainer 1 and the upper limb trainer 2;In the intelligent control system 6, the human-computer interaction module 61 is used to provide interactions such as voice, gestures and keyboard, and is also used to display data. The training effect evaluation module 62 accurately determines the training results by comprehensively comparing the parameter differences between the current training plan and the standard training plan. In terms of disease treatment, taking rehabilitation training as an example, if the patient's upper limb motor function is limited due to surgery, the standard training plan has formulated detailed training parameters for such situations, including the amplitude, frequency, resistance, etc. of the training movements. By comparing the differences in these parameters between the current training plan and the standard plan, the effect of the training on the recovery of upper limb function can be accurately evaluated. In terms of improving intelligence, if the training plan includes a logical thinking training course, by comparing the completion progress of the course in the standard plan, the accuracy of answering questions, and other parameters In brain power improvement training, such as memory training, the difference between the standard program and the current program in parameters such as memory task completion time and memory content volume is compared with the current program to evaluate the brain power improvement effect. In terms of physical fitness improvement, the difference between the standard program and the current program in training intensity, such as training resistance, speed, training duration and other parameters, is compared to determine the training results of physical fitness improvement, and provide users with comprehensive and quantitative training effect feedback. In the data acquisition module 63, the basic information input unit 631 is used to input the user's basic information, including age, gender, height, weight, upper and lower limb surgery, and upper and lower limb sports injuries. The physiological index acquisition unit 632 is used to collect physiological data, including body fat, heart rate, and blood pressure. The training behavior collection unit 633 is used to collect training data, including training resistance and training speed. In the data storage module 64, the learning and entertainment resource library 641 is used to store learning and entertainment resources, and provide data support for the learning and entertainment module 66, such as English, mathematics, Chinese, geography, physics, chemistry, programming, Chinese studies and other courses and learning methods, health and wellness knowledge, Chinese studies knowledge, nutritional meal knowledge, medical knowledge and other types of knowledge, songs, dance music, Heart Sutra, Buddhist music and other types of music. The user database 642 is used to store user data, and the standard training parameter library 643 is used to store standard training parameter templates. In the personalized program formulation module 65, the initial The initial scheme generation unit 651 is used to generate training parameters that meet the user's basic information and physiological data, the scheme optimization unit 652 is used to optimize the training parameters, the user feedback subunit 6521 obtains the user's evaluation of the training intensity after the stage training is completed, the physiological evaluation subunit 6522 evaluates the user's heart rate during the training process, and the training intensity adjustment subunit 6523 adjusts the training parameters according to the data of the user feedback subunit 6521 and the physiological evaluation subunit 6522 as the next training plan. In the learning and entertainment module 66, the game unit 661 is used to play training games, which are related to improving intelligence, brain power and physical fitness. For example, some puzzle games can exercise the user's logical thinking ability and observation ability, thereby improving intelligence;Reaction speed training games can improve the brain's reaction ability and enhance brain power; and somatic games combined with physical movement, such as simulated sports competitive games, can improve physical fitness through physical exercise while entertaining. Learning unit 662 is used to assist users in learning, providing rich learning resources and diversified learning methods. By systematically learning various knowledge courses, users can continuously accumulate knowledge, improve cognitive abilities, and thus achieve intelligence improvement. During the learning process, users can choose different subjects and learning methods according to their interests and needs to meet personalized learning needs. At the same time, learning unit 662 can also intelligently adjust the learning plan according to the user's learning progress and feedback to improve learning effects. The incentive unit 663 is used to obtain game and learning scores and provide user rankings. In terms of improving intelligence, brain power and physical fitness, users are scored based on their performance in the game unit 661 and the learning unit 662. The score reflects the user's achievements in the corresponding training. For example, in intelligence improvement games, users are scored based on their speed and accuracy in solving problems; in physical training games, users are scored based on the quality of their task completion and the improvement of their physical fitness indicators. Through user rankings, users' competitive awareness and enthusiasm are stimulated, prompting them to work harder to participate in training and continuously improve their intelligence, brain power and physical fitness. In terms of disease treatment, for rehabilitation patients, the incentive unit 663 can Patients are scored and ranked according to their performance in the rehabilitation training game, so that they can see their own progress, enhance their confidence in rehabilitation, actively cooperate with treatment, and improve rehabilitation effects; in the intelligent control system 6, each module works together to provide users with a comprehensive and personalized training and learning entertainment experience, while having a positive impact on the health and ability improvement of users; when using the present invention, the left and right hands move in reverse, and the left and right feet move in reverse, which can bring oxygen and energy to the whole body, especially the brain, promote blood acceleration, so that the lungs can be fully used, thereby absorbing enough fresh oxygen and providing sufficient oxygen to the brain through the blood. Only then can the brain enter an excellent working state and develop unlimited intelligence potential, double Under the effect of the weight, the user's body and mind will gradually enter an excellent state. Sometimes the eyes will become naturally moist, indicating that all toxins and pressure are also flowing away. The final effect is that the body and mind will tremble naturally, reaching the state of unity of body and mind. In addition, experiments have found that the present invention bubbles when placed in water, and the more you push, the more bubbles it produces. It has been detected that oxygen is produced in the water. It can be seen that this exercise can input oxygen and hydrogen into human cells, solve some unknown pains and diseases, and even make children smarter. While training, they can remember English words, Chinese, mathematics and history knowledge. The memory is more than three times that of usual, and the attention is focused, and the spirit is better; it makes adults healthier and more energetic, makes patients recover faster, and makes the elderly live longer;Experiments show that healthy people can use the present invention to train for 30-60 minutes in the morning, and patients can use the present invention to train for 30-60 minutes in the morning and 30-60 minutes in the afternoon to achieve the best state of oxygen content in various tissues, organs, cells and blood of the human body; the present invention also has great health and great education functions, and the great health function is specifically: treating and preventing cerebral stroke; Engineer Wang became a vegetable because of a hereditary cerebral vascular malformation and suffered a cerebral vascular stroke in middle age. He used the present invention to restore all brain functions and rewire the brain; the present invention can fight against laziness. Currently, nearly half of a large number of Chinese students have the problem of lying flat. The present invention is currently the only brain training machine and physical training machine that can solve the problem of lying flat; the great education function is specifically: using the present invention can increase the user's brain operation speed by three to five times, improve the speed of listening, speaking, reading and writing in English, shorten the time for answering questions in the exam, strengthen memory, and improve analytical ability; with specially designed courses, it is easy to complete primary and secondary school courses within four years, complete the IELTS level 9 assessment requirements and two years within one month. Complete direct doctoral study; The present invention can easily solve problems such as mental retardation, autism, ADHD, oppositional hyperactivity disorder, learning difficulties, dyslexia, and communication difficulties; The present invention also has the following benefits: Improve thinking ability: By exercising the connection and cooperation between the left and right brains, users will develop a more flexible way of thinking, so that they can better solve problems and cope with challenges; Stimulate creativity: The left brain is responsible for logic and analysis, while the right brain dominates creativity and imagination; After the left and right brains are coordinated and balanced, creativity will no longer be limited, and users will have more innovative and unique ways of thinking; Enhance memory: The good state of cooperation between the left and right brains helps to improve memory, and users will find it easier to learn and remember what they have learned, greatly improving learning efficiency; Promote emotional management: The left brain controls rational thinking, and the right brain dominates emotions and intuition; By balancing the two, users will be able to manage emotions more easily and enhance emotional stability; Improve attention: The tasks and challenges in the present invention will require users to concentrate and strengthen their concentration, bringing positive and long-term effects to users' work and study. ;

[0046] It will be apparent to those skilled in the art that the invention is not limited to the details of the exemplary embodiments described above and that the invention can be implemented in other specific forms without departing from the spirit or essential features of the invention. Therefore, the embodiments should be considered exemplary and non-limiting in all respects, and the scope of the invention is defined by the appended claims rather than the foregoing description, and it is intended that all variations falling within the meaning and scope of the equivalent elements of the claims be included in the invention. Any reference numeral in a claim should not be considered as limiting the claim to which it relates.

Claims

1. An AI intelligence and physical fitness improvement trainer, comprising a lower limb trainer (1), an upper limb trainer (2), a crank assembly (3), a crank handle (4) and a controller (5), characterized in that: The lower limb trainer (1) is fixedly connected to an upper limb trainer (2), the upper limb trainer (2) is fixedly connected to a controller (5), and the controller (5) is electrically connected to the lower limb trainer (1) and the upper limb trainer (2), respectively; the input ends of the lower limb trainer (1) and the upper limb trainer (2) are both equipped with crank assemblies (3), the crank assemblies (3) are equipped with a crank handle (4), the controller (5) is provided with an intelligent control system (6), the intelligent control system (6) comprises a human-computer interaction module (61), a training effect evaluation module (62), a data acquisition module (63), a data storage module (64), a personalized program formulation module (65), and a learning and entertainment module (66), and the data storage module (64) is data connected to the human-computer interaction module (61), the training effect evaluation module (62), the data acquisition module (63), the personalized program formulation module (65), and the learning and entertainment module (66), respectively; the human-computer interaction module (61) is equipped with a stereo sound system having a playback function.

2. The AI ​​intelligence and physical fitness training device according to claim 1, characterized in that: The two crank assemblies (3) on the upper limb training device (2) are shaken by both hands and move in opposite directions, and the two crank assemblies (3) on the lower limb training device (1) are pedaled by both feet and move in opposite directions. Specifically, when one crank assembly (3) moves upward, the other crank assembly (3) moves downward, thereby achieving coaxial reversal. The crank assembly (3) comprises a connecting block (31), a fixing block (32), a sleeve (33), a guide groove (34), a first guide block (35), a threaded rod (36), a connecting sleeve (37), a knob (38), a limiting ring groove (39), a notch (310), a limiting block (311) and a second guide block (312). The outer walls of both sides of the connecting block (31) are A fixing block (32) is fixedly connected to the fixing block (32), a sleeve (33) is fixedly connected to the fixing block (32), a guide groove (34) is arranged in the sleeve (33), a first guide block (35) is slidably connected in the guide groove (34), a threaded rod (36) is fixedly connected to the first guide block (35), the other end of the threaded rod (36) is fixedly connected to a connecting sleeve (37), and the crank handle (4) is fixedly connected to one of the connecting sleeves (37), a knob (38) is threadedly connected to the threaded rod (36), a limit block (311) is slidably connected to the knob (38), a second guide block (312) is fixedly connected to the limit block (311), and the second guide block (312) is fixedly connected to the sleeve (33).

3. The AI ​​intelligence and physical fitness training device according to claim 2 is characterized by: The knob (38) is provided with a limit ring groove (39), and the limit block (311) is slidably connected in the limit ring groove (39), and a notch (310) is provided in the limit ring groove (39).

4. The AI ​​intelligence and physical fitness improvement training device according to claim 1, characterized in that: The data acquisition module (63) includes a basic information input unit (631), a physiological index acquisition unit (632) and a training behavior acquisition unit (633). The basic information input unit (631) is used to input basic information of the user, including age, gender, height, weight, upper and lower limb surgery conditions, and upper and lower limb sports injuries. The physiological index acquisition unit (632) is used to collect physiological data, specifically including body fat, heart rate, heart beat, blood pressure and blood oxygen. The training behavior acquisition unit (633) is used to collect training data, specifically including training resistance and training speed.

5. The AI ​​intelligence and physical fitness improvement training device according to claim 1, characterized in that: The data storage module (64) comprises a learning and entertainment resource library (641), a user database (642) and a standard training parameter library (643), wherein the learning and entertainment resource library (641) is used to store learning and entertainment resources, the user database (642) is used to store user data, and the standard training parameter library (643) is used to store standard training parameter templates.

6. The AI ​​intelligence and physical fitness improvement training device according to claim 1, characterized in that: The personalized program formulation module (65) includes an initial program generation unit (651) and a program optimization unit (652), wherein the initial program generation unit (651) is used to generate training parameters that conform to the user's basic information and physiological data, and the program optimization unit (652) is used to optimize the training parameters.

7. The AI ​​intelligence and physical fitness training device according to claim 6, characterized in that: The training parameters include training resistance, training speed, time interval of each training set, number of training sets and number of movements in each set, wherein the number of training sets and the number of movements in each set adopt standard training parameters that conform to basic information and physiological data of the user, and the training resistance, training speed and time interval of each training set are generated by one of genetic algorithm, particle swarm algorithm, simulated annealing algorithm and neural network algorithm.

8. The AI ​​intelligence and physical fitness training device according to claim 6, characterized in that: The program optimization unit (652) includes a user feedback subunit (6521), a physiological assessment subunit (6522) and a training intensity adjustment subunit (6523). The user feedback subunit (6521) is used to obtain the user's evaluation of the training intensity after the stage training is completed. The physiological assessment subunit (6522) is used to evaluate the user's heart rate during the training process. The training intensity adjustment subunit (6523) is used to adjust the training parameters according to the data of the user feedback subunit (6521) and the physiological assessment subunit (6522).

9. The AI ​​intelligence and physical fitness training device according to claim 8, characterized in that: The training parameters adjusted by the training intensity adjustment subunit (6523) specifically include training resistance, training speed and the time interval of each set of training, and are specifically adjusted using the following formula: The training resistance adjustment formula is: R1=R2×(1+k1×F+k2×H) Wherein, R2 is the current training resistance, R1 is the adjusted training resistance, k1 is the weight coefficient of the user feedback intensity score on the resistance adjustment, k2 is the weight coefficient of the heart rate score on the resistance adjustment, F is the user feedback intensity score, the value range is [-2, 2], -2 means the intensity is too strong, 0 means the intensity is normal, 2 means the intensity is too low, H is the heart rate score, the value range is [-2, 2], -2 means the heart rate continues to exceed the threshold range, 0 means the heart rate is normal, and 2 means the heart rate continues to be below the threshold range; The training speed adjustment formula is: V1=V2×(1+k3×F+k4×H) Wherein, V2 is the current training speed, V1 is the adjusted training speed, k3 is the weight coefficient of the user feedback intensity score for speed adjustment, k4 is the weight coefficient of the heart rate score for speed adjustment, F is the user feedback intensity score, the value range is [-2, 2], -2 means the intensity is too strong, 0 means the intensity is normal, 2 means the intensity is too low, H is the heart rate score, the value range is [-2, 2], -2 means the heart rate continues to exceed the threshold range, 0 means the heart rate is normal, and 2 means the heart rate continues to be below the threshold range; The time interval adjustment formula for each set of training is: I1=I2×(1+k5×F+k6×H) Among them, I2 is the current time interval of each set of training, I1 is the adjusted time interval of each set of training, k5 is the weight coefficient of the user feedback intensity score for the time interval adjustment, k6 is the weight coefficient of the heart rate condition score for the time interval adjustment, F is the user feedback intensity score, and the value range is [-2,2]. -2 means that the intensity is too strong, 0 means that the intensity is normal, and 2 means that the intensity is too low. H is the heart rate condition score, and the value range is [-2,2]. -2 means that the heart rate continues to exceed the threshold range, 0 means that the heart rate is normal, and 2 means that the heart rate continues to be below the threshold range.

10. The AI ​​intelligence and physical fitness training device according to claim 1, characterized in that: The learning and entertainment module (66) includes a game unit (661), a learning unit (662) and an incentive unit (663), wherein the game unit (661) is used to play training games, the learning unit (662) is used to assist users in learning, and the incentive unit (663) is used to obtain scores for games and learning, and provide user rankings.

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