TWM593239U - Artificial intelligence body function work out system - Google Patents

Abstract

The present invention discloses an artificial intelligence body function exercise system as a virtual exercise coach of the exercised person and instructs the exercised person to exercise. The artificial intelligence body function training system comprises an input unit, a server, an exercise module and a display unit. The input unit enables the exercised person to input a first data. The server provides a plurality of exercise plans. The server analyzes the first data to determine one of the exercise plans. The exercise module includes a processor and an electromechanical component. The processor is connected to the electromechanical component. The processor analyzes the exercise instruction of the selected exercise plan to drive the electromechanical component. The display unit connects the input unit and the exercise module. The display unit displays the first data and the exercise plan to provide at least one of interaction, prompting, warning, and guidance.

Description

Artificial intelligence body functional exercise system

This creation is about the technical field of sports and fitness, especially the artificial intelligent body functional exercise system as the virtual exercise coach of the exercised person.

Traditionally, in order to achieve physical function, consumers usually exercise through exercise equipment; general consumers will choose to exercise in the gym, for example, and the gym will also be equipped with fitness coaches (or exercise coaches) to guide consumers How to operate exercise equipment or evaluate how to exercise properly according to the characteristics of consumers such as age, height, weight and blood pressure.

However, the number of fitness trainers is limited, far less than the number of exercise equipment and consumers. Therefore, the gym can only configure fitness coaches, exercise equipment and consumers through appointments and other means. Furthermore, for different consumers because of their different needs, there is a general demand for personalized exercise courses. According to the current method, it is not easy to meet the needs of a large number of consumers at the same time.

In view of this, this creative department provides an artificial intelligence body function exercise system to solve the lack of previous technology.

The first purpose of this creation is to provide an artificial intelligence body function exercise system, which can assist fitness coaches and thus allow the gym and fitness coaches to simultaneously increase the number of serving consumers, and address the needs of different consumers (such as weight loss needs, Increase muscle strength, freshman training, aerobic exercise, etc., in order to achieve the purpose of personalized multi-person service.

The second objective of this creation is to provide an artificial intelligence body function exercise system that acts as a virtual exercise coach for the exercised person and guides the exercised person to exercise.

The third objective of this creation is to detect the physical characteristics of the exercised person through the detection module according to the artificial intelligence body function exercise system to select the appropriate exercise lesson plan.

The fourth purpose of this creation is to continuously detect physiological characteristics based on the artificial intelligence body function exercise system, so that the servo platform can perform re-analysis to decide to maintain the original exercise lesson plan or replace it with another exercise lesson plan.

The fifth objective of this creation is based on the artificial intelligence body function exercise system. The mobile device can store exercise lesson plans and provide them to exercise modules for offline or online training.

The sixth objective of this creation is based on the artificial intelligence body function exercise system, and the servo platform provides parameter tables related to the characteristic data to decide or select the exercise lesson plan.

In order to achieve the above purpose or other purposes, this creative department provides an artificial intelligence body function exercise system as a virtual exercise coach of the exercised person and guides the exercised person to exercise. The artificial intelligent body function exercise system includes an input unit, a servo platform, an exercise module and a display unit. The input unit enables the exercised person to input the first data. Among them, the first data is at least one of identity, age, weight, height, heartbeat, blood pressure and body fat. Servo platform provides multiple exercise lesson plans. The servo platform analyzes the first data to determine one of these exercise teaching plans. Among them, the exercise lesson plans are programmed by exercise instructions and the exercise lesson plans are classified according to the first data. The exercise module includes a processor and electromechanical components. The processor is connected to electromechanical components. The processor parses the exercise instructions of the selected exercise lesson plan to drive the electromechanical components. The display unit connects the input unit and the exercise module. The display unit displays the first data and the exercise lesson plan to provide at least one of interaction, prompt, warning, and guidance.

Compared with the conventional technology, this creation provides an artificial intelligence body function exercise system, providing multiple ways for the exercised person to exercise independently. For example, the first way is for the examinee to input his own relevant information, such as identity, Data such as age, weight, height, heartbeat, blood pressure, body fat, etc., allows the servo platform to decide one or some exercise lesson plans based on data analysis; the second method is that the testee enters his own relevant data in addition to himself , Can also choose a preset exercise program from the servo platform, such as retraining mode, elderly muscle training mode, slimming mode, etc., the servo platform directly provides the exercise plan required by the exercised person according to the selected mode; the third way , After the testee enters his own relevant information, the servo platform pre-executes a test lesson plan (which can also be taken from the existing exercise program) according to the data to obtain the physiological characteristics of the exercised person (such as the number of heartbeats, blood pressure values) , Respiration frequency/cycle, body temperature, weight, body fat, skin condition and myoelectric signal, etc.), for example, the exercised person selects the old man's strength training mode, and the servo platform selects a specific resistance, weight, etc. to let the exercised person first Operate, and retrieve the physical characteristics of the exercised during the operation, and then analyze the physiological characteristics by the servo platform to decide to maintain the original exercise program or change (or adjust) to another exercise program; the fourth In this way, the department database can record the identity of the exercised person and the exercise program, so that after the exercised person provides the identity, the exercise program can be obtained to continue the exercise.

In the foregoing, the exercise lesson plan can be programmed by exercise coaches, nutrition experts, athletes, doctors, rehabilitation teachers, yoga teachers, etc., using exercise instructions, so that the exercised person can choose a private exercise program of different experts, so that the exercise lesson plan can be more flexible .

In order to fully understand the purpose, characteristics and effects of this creation, the following specific examples and the accompanying drawings are used to explain this creation in detail, as follows:

In this creation, the use of "one" or "one" is used to describe the units, elements, and assemblies described herein. This move is only for convenience of explanation and provides a general meaning to the scope of this creation. Therefore, unless clearly stated otherwise, such description should be understood to include one, at least one, and the singular also includes the plural.

In this article, the terms "including", "including", "having", "containing" or any other similar terms are intended to cover non-exclusive inclusions. For example, an element, structure, product, or device containing multiple elements is not limited to the elements listed here, but may include those not explicitly listed but which are generally inherent to the element, structure, product, or device. Other requirements. In addition, unless clearly stated to the contrary, the term "or" refers to an inclusive "or" rather than an exclusive "or".

Please refer to FIG. 1, which is a block diagram of an artificial intelligence body function training system according to the first embodiment of the present creation. In FIG. 1, the artificial intelligence body function exercise system 10 serves as a virtual exercise coach of the exercised person 2 and guides the exercised person to exercise. Here, the virtual exercise coach is played by the system, which can guide the exercised person 2 to cooperate with the sports equipment for effective exercise, and the system can be applied to a variety of exercise modules without the exercise of the exercise coach or few exercise coaches The environment, in short, the exercised person 2 can exercise the physical function according to the guidance of the virtual exercise coach played by the system, just like a real sports trainer.

The artificial intelligence body function exercise system 10 includes an input unit 12, a servo platform 14, an exercise module 16, and a display unit 18.

The input unit 12 may be, for example, a keyboard, a touch screen, a voice control, an image capture device, a scanner, a bracelet, or the like. The input unit 12 enables the exercised person 2 to input the first data FD, for example, the first data FD is identity, age, weight, height, heartbeat, blood pressure, and body fat. For the aforementioned identity part, one-dimensional bar code, two-dimensional bar code, RFID, etc. can be used to record the data related to the exercised person 2. By scanning a two-dimensional bar code with a scanner, for example, keyboard input can be replaced. In addition, the first data FD input by the input unit 12 can be displayed through the display unit 18 so that the exercised person 2 can understand the state of inputting the first data FD.

The servo platform 14 provides one or more exercise lesson plans EP1, EP2, EP3. Here, a plurality of examples are used as examples. The servo platform 14 analyzes the first data FD to determine one or more exercise lesson plans EP1, EP2, EP3. In one embodiment, it is possible that only one exercise lesson plan needs to be implemented on the exercised person to achieve the exercise goal, but it may also require multiple exercise lesson plans to be implemented on the exercised person to achieve the exercise goal. Among them, the exercise lesson plans EP1, EP2, EP3 are programmed by exercise instructions (the exercise instructions are related to the control code of the exercise module 16, for example, the control code controls how much resistance, thrust, and pulling force the exercise module 16 generates). In addition, in order to facilitate the servo platform 14 to select the exercise lesson plans EP1, EP2, EP3, the exercise lesson plans EP1, EP2, EP3 can be pre-classified according to the first data FD, for example, according to age, weight, height, etc. corresponding to a certain exercise The solution is that the servo platform 14 can provide an appropriate exercise lesson plan after analyzing the first data FD. In the foregoing, the exercise teaching plans EP1, EP2, EP3 can be programmed by exercise coaches, nutrition experts, athletes, doctors, rehabilitation teachers, yoga teachers, etc. using exercise instructions.

The exercise module 16 may be a sitting posture/rowing training device, a sitting posture/pulling down training device, a chest expansion back training device, a two (or three) head muscle training device, a leg abduction and adduction training device, and a front kick/back Leg press trainer, sitting trainer, etc. The exercise module 12 can control parameters according to exercise instructions. Here, the aforementioned training device can be provided with a resistance system composed of hydraulic cylinders. With the exercise command, the force output by the hydraulic cylinder can be changed to form resistance, and then the corresponding resistance can be generated in the training device to allow the exercised The person 2 needs to exercise the body parts to overcome the resistance according to their different needs to achieve the purpose of exercise. It is worth noting that the hydraulic cylinder is used as an example here. In fact, what this book wants to express is that the exercise module 16 can be flexibly adjusted according to the exercise instructions in the exercise program to suit each person being exercised 2 The exercise requirement of the servo platform 14 or the exercise requirement to be exercised by the servo platform 14.

Here, the exercise module 16 further includes a processor 162 and an electromechanical component 164. The processor 162 is connected to the electromechanical component 164, which drives the electromechanical component 164 according to the exercise teaching plan EP1, EP2, EP3 to exercise the exercised person 2, for example, the electromechanical component 164 is controlled by a controller, resistance, oil pressure, weight bearing, gear, motor, sensor It consists of a sensor, and the controller, oil pressure, load bearing, gear, motor, and sensor can be controlled by exercise instructions.

The display unit 18 connects the input unit 12 and the exercise module 16. The display unit 18 displays the first data FD and the exercise teaching plans EP1, EP2, and EP3 for interaction, prompting, warning, and guidance with the exercised person. As mentioned above, "interaction" means that the exercised person 2 can input the first data FD and the exercise module 16 through the input unit to display the current exercise program (or give back the exercise state of the exercised person), etc.; "prompt" refers to the instruction How the exercised person 2 operates the exercise module 16, the effect achieved by the exercise programs EP1, EP2, EP3, the purpose of the exercise program, etc.; "Warning" refers to the possibility of exercising the exercise program EP1, EP2, EP3, there may be a risk of exercise, According to the real-time physiological characteristics of the exercised person 2 to give back the warning that the exercised person 2 is currently suitable for continuing to exercise; and, "guide" refers to the step-by-step exercise performed by the fitness trainer as the exercise trainer 2 guides, such as guiding the exercised person 2 Breath adjustment during exercise, the speed of speed, etc.

Furthermore, in another embodiment, the aforementioned input unit 12 may provide a plurality of exercise modes EPM1, EPM2, EPM3 for the exercised person 2 to select, for example, exercise modes EPM1, EPM2, EPM3 may be a slimming mode, a muscle training mode, a partial Exercise mode, etc. The input unit 12 outputs at least one of the exercise modes EPM1, EPM2, and EPM3 to the servo platform 14, so that the servo platform 14 determines the exercise plans EP1, EP2, and EP3 corresponding to the exercise modes EPM1, EPM2, and EPM3. Among them, these exercise modes EPM1, EPM2, EPM3 link these exercise teaching plans EP1, EP2, EP3.

Please refer to FIG. 2, which is a block diagram of an artificial intelligence body function training system according to the second embodiment of the present invention. In FIG. 2, in addition to the input unit 12, the exercise module 16 and the display unit 18 of the first embodiment, the artificial intelligence body function exercise system 10' further includes a detection module 20 and a servo platform 14'.

The input unit 12, the exercise module 16 and the display unit 18 are as described above, and will not be repeated here.

The detection module 20 is connected to the input unit 12 to detect the physiological characteristics BC of the exercised person and form the second data SD, for example, the physiological characteristics BC are central artery stiffness, upper arm arterial stiffness, blood pressure, body weight, body fat rate, water ratio, protein ratio , Basal metabolic rate, visceral fat level, muscle weight, bone density, body weight and pulse, etc. In addition, the detection module 20 can also develop a variety of physical and mental indicators based on the comprehensive physiological characteristics BC calculation. For example, the physical and mental indicators are related to the mental state of the exercised person, stress tension, pressure accumulation, long-term stress, physical fatigue, Mental fatigue, mood stability, physical condition, digestive function, sleep depth, day and night sleep state, dream quality, etc. In another embodiment, the detection module 20 may be composed of one or more sensors to form a concept such as a health station, through which the relevant physiological characteristics BC or physical and mental indicators of the exercised person 2 can be obtained.

The servo platform 14' receives the second data SD output by the detection module 20. The servo platform 14' analyzes the first data FD and the second data SD to determine the exercise lesson plans EP1, EP2, EP3. Among them, as described above, in addition to considering the factors of the first data FD, the exercise plans EP1, EP2, EP3 also consider the second data SD for classification.

In this embodiment, the artificial intelligence body function exercise system 10' determines the appropriate exercise lesson plans EP1, EP2, EP3 by detecting the physiological characteristics BC of the exercised person 2'.

Please refer to FIG. 3, which is a block diagram of an artificial intelligence body function training system according to a third embodiment of the present creation. In FIG. 3, in addition to the input unit 12, the exercise module 16, the display unit 18, and the detection module 20 of the second embodiment, the artificial intelligence body function exercise system 10'' further includes a servo platform 14''.

The input unit 12, the exercise module 16, the display unit 18, and the detection module 20 are as described above, and will not be repeated here.

The servo platform 14' further provides a test lesson plan TP, and the exercise module 16 executes the test lesson plan TP to drive the electromechanical component 164 and the detection module 20 to simultaneously detect the physiological characteristic BC of the exercised person 2. In another embodiment, the test lesson plan TP may be one of the exercise programs EP1, EP2, and EP3.

In this embodiment, a test lesson plan TP may be actively provided to first test whether the exercised person can adapt or bear the current exercise program EP1, EP2, EP3, and according to the timely detection of the physiological characteristics of the exercised person BC and Can decide to maintain the current exercise program EP1, EP2, EP3, adjust the parameters of the current exercise program EP1, EP2, EP3 (such as increase/decrease resistance, increase/decrease times, increase/decrease time, etc.) and replace with a new exercise program EP1, EP2, EP3. In other words, the servo platform 14" receives the detection module 20 to output the third data TD related to the current physiological characteristic BC, and the servo platform 14" analyzes the first data FD and the third data TD to determine the exercise lesson plans EP1, EP2 , At least one of EP3. Among them, such exercise lesson plans EP1, EP2, EP3 can be classified according to the first data FD and the third data TD

Please refer to FIG. 4, which is a block diagram of an artificial intelligence body function exercise system according to the fourth embodiment of the present invention. In FIG. 4, in addition to the input unit 12, the servo platform 14, the exercise module 16 and the display unit 18 of the first embodiment, the artificial intelligence body function exercise system 10 ″ further includes a database 22 and an identity recognition unit 24 .

The input unit 12, the servo platform 14, the exercise module 16, the display unit 18, and the detection module 20 are as described above, and will not be repeated here.

The database 22 is connected to the servo platform 14. The database 22 can record the identity of the exercised person 2 and the selected exercise lesson plans EP1, EP2, EP3.

The identification unit 24 connects the input unit 12 and the database 22, such as a biometric device, a barcode scanner, and so on. The identity recognition unit 24 can recognize the identity of the exercised person 2 and obtain exercise plans EP1, EP2, EP3 from the database 22. In another embodiment, the exercised person 2 can perform identity recognition through, for example, a portable mobile phone, tablet computer, smart card, RFID, USB, etc.

This creation has been disclosed in the above with preferred embodiments. However, those skilled in the art should understand that this embodiment is only for depicting this creation, and should not be interpreted as limiting the scope of this creation. It should be noted that all changes and replacements equivalent to this embodiment should be included in the scope of this creation. Therefore, the scope of protection of this creation shall be determined by the scope of the patent application.

2: exercised

10, 10’, 10’’, 10’’’: Artificial Intelligence Body Functional Exercise System

12: input unit

14, 14’, 14’’: Servo platform

16: Exercise module

162: processor

164: Electromechanical components

18: display unit

20: Detection module

22: Database

24: Identification unit

FD: first information

EP1, EP2, EP3: exercise lesson plans

EPM1, EPM2, EPM3: exercise mode

TP: test lesson plan

BC: physiological characteristics

SD: secondary information

TD: Third information

FIG. 1 is a block diagram of an artificial intelligence body function exercise system of the first embodiment of the present invention. FIG. 2 is a block diagram of an artificial intelligence body function training system according to the second embodiment of the present invention. FIG. 3 is a block diagram of an artificial intelligence body function training system according to a third embodiment of the present invention. FIG. 4 is a block diagram of an artificial intelligence body function training system according to the fourth embodiment of the present invention.

2: exercised

10: Artificial intelligence body functional exercise system

12: input unit

14: Servo platform

16: Exercise module

162: processor

164: Electromechanical components

18: display unit

FD: first information

EP1, EP2, EP3: exercise lesson plans

EPM1, EPM2, EPM3: exercise mode

Claims (10)

An artificial intelligence body functional exercise system, which acts as a virtual exercise coach of the exercised person and guides the exercised person to exercise. The artificial intelligence body functional exercise system includes: The input unit is for the exercised person to input first data, wherein the first data is at least one of identity, age, weight, height, heartbeat, blood pressure and body fat; A servo platform provides a plurality of exercise plans, the servo platform analyzes the first data to determine one of the exercise plans, where the exercise plans are programmed by exercise instructions and the exercise plans are classified according to the first data ; The exercise module has a processor and an electromechanical component, the processor is connected to the electromechanical component, and the processor parses the selected exercise instruction of the exercise lesson plan to drive the electromechanical component; and The display unit is connected to the input unit and the exercise module. The display unit displays the first data and the exercise lesson plan to provide at least one of interaction, prompt, warning, and guidance. The artificial intelligence body functional exercise system as described in item 1 of the patent scope, wherein the input unit provides a plurality of exercise modes for the exercised person to select, and the input unit outputs at least one of the exercise modes to the servo platform, In order for the servo platform to determine one of the exercise teaching plans, the exercise modes are linked to at least one of the exercise teaching plans. The artificial intelligence body functional exercise system as described in item 1 of the patent application scope further includes a detection module connected to the input unit, and the detection module detects the physiological characteristics of the exercised person. The artificial intelligence body functional exercise system as described in item 3 of the patent application scope, wherein the servo platform receives the second data related to the physiological characteristics output by the detection module, and the servo platform analyzes the first data and the second data To determine at least one of the exercise lesson plans, where the exercise lesson plans are classified according to the first data and the second data, and the second data are central artery stiffness, upper arm arterial stiffness, blood pressure, body weight, body fat rate , At least one of water ratio, protein ratio, basal metabolic rate, visceral fat level, muscle weight, bone density, body weight, pulse and physical and mental indicators. The artificial intelligence body functional exercise system as described in item 4 of the patent application scope, wherein the physical and mental indicators are related to the mental state, stress tension, pressure accumulation, long-term stress, physical fatigue, mental fatigue, mood of the person being exercised At least one of stability, physical condition, digestive function, sleep depth, day and night sleep state, and dream quality. The artificial intelligence body functional exercise system as described in item 1 of the patent application scope, wherein the servo platform further provides a test lesson plan, the exercise module executes the test lesson plan to drive the electromechanical component and the detection module to simultaneously detect the exercised person Physiological characteristics. The artificial intelligence body function exercise system as described in item 6 of the patent application scope, wherein the servo platform receives the third data related to the physiological characteristics output by the detection module, and the servo platform analyzes the first data and the third data To determine at least one of the exercise teaching plans, wherein the exercise teaching plans are classified according to the first data and the third data. The artificial intelligence body functional exercise system as described in item 7 of the patent application scope further includes a detection module to detect the physiological characteristics of the exercised person in time to update the third data, and then the servo platform analyzes the first data and Update the third data to decide to maintain the original exercise lesson plan or choose other exercise lesson plans. The artificial intelligence body function exercise system as described in item 1, 2 or 3 of the patent application scope further includes a database connected to the servo platform, which is used to record the identity of the exercised person and the exercise lesson plan selected. The artificial intelligence body functional exercise system as described in item 9 of the patent application scope further includes an identity recognition unit, which is connected to the input unit and the database, and the identity recognition unit is used to recognize the identity of the exercised person, and from the data The library obtains the exercise lesson plan.

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