TW202120149A - Programmable intelligent motion teaching method and system thereof - Google Patents

Abstract

The invention discloses a programmable intelligent motion teaching method and system thereof which enables an expert to program a sports lesson to guide an operator to perform autonomous training by a sports equipment. The method comprises the steps of (a) providing a time slot programming area; step (b) establishing a conditional time slot programming area, wherein the conditional syntax is composed of a flow control and a relational operation; c) adding at least one of a dynamic parameter, a static parameter and a control parameter to the conditional expression such that the selected dynamic parameter and the static parameter satisfy the conditional expression, and the control parameter is output to the sports equipment to control the sports equipment; step (d) set the time slot programming area to a time axis.

Description

Programmable intelligent exercise teaching plan method and system

The invention relates to the technical field of exercise and fitness, in particular to a programmable intelligent exercise teaching plan method and system for customized exercise teaching plans.

Traditionally, in order to achieve physical function exercise, consumers usually exercise through sports 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 the exercise equipment or evaluate how to properly exercise the body according to the consumer’s own age, height, weight, blood pressure and other characteristic data.

However, the number of fitness trainers is limited, far less than the number of exercise equipment and consumers. Therefore, the gym can only allocate fitness coaches, exercise equipment and consumers through appointments. Furthermore, for different consumers due to 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.

Furthermore, experts (including fitness coaches, exercise coaches, weight reduction teachers, rehabilitation specialists, physical therapists, physicians, etc.) have their own exclusive exercise methods, which need to be passed on through teaching or experience, but because of regional restrictions or dissemination The restriction of the pipeline, only in a specific field can there be a way to receive the guidance of an exercise coach or an expert.

In view of this, the present invention provides a programmable intelligent exercise teaching plan method and system thereof to solve the deficiencies of the prior art.

The first objective of the present invention is to provide a programmable intelligent exercise teaching plan method that can assist or replace experts, such as fitness coaches, exercise coaches, weight loss trainers, rehabilitation specialists, physical therapists, physicians, etc., so that experts can improve services at the same time The number of consumers, and according to the needs of different consumers, such as weight loss needs, increased muscle strength, new training, aerobic exercise, sleep therapy, exercise for the elderly, rehabilitation, etc., in order to achieve the purpose of personalized multi-person service.

The second objective of the present invention is to allow the exercise coach (or expert) to easily create and share the exercise lesson plan for the operator to conduct independent training based on the programmable intelligent exercise lesson plan method.

The third objective of the present invention is to provide a time slot programming area based on the above-mentioned programmable intelligent exercise lesson plan method so that experts can select different dynamic parameters, static parameters, and control parameters to create customized or exclusive exercise lesson plans.

The fourth object of the present invention is based on the above-mentioned programmable intelligent motion lesson plan method. The motion lesson plan is composed of one or more time slot programming areas, and each time slot programming area can be executed independently or according to the previous time slot programming area. As a result, the relevant parameters of the next time slot programming area are dynamically adjusted through detection feedback.

The fifth object of the present invention is based on the above-mentioned programmable intelligent exercise teaching plan method, the provided exercise teaching plan can further guide, warn or remind the operator to perform corresponding actions according to the dynamic parameters fed back by the operator.

The sixth objective of the present invention is to provide a programmable intelligent exercise lesson plan system, which allows the operator to program exercise lesson plans.

The seventh object of the present invention is based on the above-mentioned programmable intelligent exercise lesson plan system. By operating the exercise equipment, the operator can program the exercise lesson plan according to the corresponding static parameters and dynamic parameters generated by the operator's operation process.

In order to achieve the above and other objectives, the present invention provides a programmable intelligent exercise lesson plan method that allows an expert to program a exercise lesson plan to guide an operator to perform autonomous training through a sports equipment. The programmable smart motion lesson plan method includes steps (a) providing a time slot programming area; step (b) establishing a conditional expression in the time slot programming area, where the syntax of the conditional expression is composed of a flow control and a relational operator; step ( c) Add at least one of a dynamic parameter, a static parameter and a control parameter to the conditional formula, so that the selected dynamic parameter and static parameter meet the conditional formula, and the control parameter is output to the sports equipment to control the sports equipment; step (d) Set the time slot programming area on a time axis.

In order to achieve the above and other objectives, the present invention provides a programmable intelligent exercise lesson plan system for the operator to program exercise lesson plans. The programmable intelligent sports lesson plan system includes an input unit, an output unit and a processing unit. The input unit samples a dynamic information of the operator and collects a movement information of the sports equipment, or allows the operator to input at least one of dynamic information, movement information, a lesson plan purpose, a lesson plan goal, a guidance message, and a warning message. The output unit receives a control parameter for driving the exercise equipment to generate a resistance, a thrust, a speed, a direction and a gravity, or output at least one of the purpose of the lesson plan, the target of the lesson plan, the guidance message and the warning message. The processing unit connects the input unit and the output unit. The processing unit executes a programmable smart motion lesson plan application with a time slot programming area. The time slot programming area is a conditional formula composed of at least one of dynamic parameters, static parameters, a process control, a relational operator, a lesson plan goal, a lesson plan goal, a guide message, a warning message, and a control parameter. Wherein, the processing unit receives at least one of dynamic information, action information, lesson plan purpose, lesson plan goal, guidance message and warning message from the operator, and establishes the time slot programming area on the time axis to form a motion lesson plan.

Compared with the conventional technology, the present invention provides a programmable intelligent exercise teaching plan method and its system, which enables experts to systematically or standardized their exercise methods and related parameters, so that the experts’ exercise plans can be Expanded promotion will benefit more people, and the programming method can receive the results of the exercise plan through dynamic parameters, and selectively and dynamically adjust, so that experts can have expert customized functions for each athlete .

In order to fully understand the purpose, features, and effects of the present invention, the following specific embodiments are used in conjunction with the accompanying drawings to give a detailed description of the present invention. The description is as follows:

In the present invention, "one" or "one" is used to describe the units, elements and components described herein. This is just for the convenience of description and provides a general meaning to the scope of the present invention. Therefore, unless it is clearly stated otherwise, this description should be understood to include one or at least one, and the singular number also includes the plural number.

In this article, the terms "include", "include", "have", "include" or any other similar terms are intended to cover non-exclusive inclusions. For example, an element, structure, product, or device that contains a plurality of elements is not limited to the elements listed herein, but may include those that are not explicitly listed but are generally inherent to the element, structure, product, or device. Other requirements. In addition, unless there is a clear statement to the contrary, the term "or" refers to the inclusive "or" rather than the exclusive "or".

Please refer to FIG. 1, which is a schematic flowchart of a programmable intelligent exercise teaching plan method according to the first embodiment of the present invention. In FIG. 1, the programmable intelligent exercise lesson plan method allows experts to program exercise lesson plans to guide an operator to perform autonomous training through a sports equipment. Here, the experts can be fitness coaches, exercise coaches, weight reduction trainers, rehabilitation specialists, physical therapists, physicians, etc. The aforementioned "programming" refers to programming and arranging through pre-set description language and parameters to operate, for example, sports equipment to perform a certain function or action. The aforementioned "exercise lesson plan" refers to the fact that the operator can exercise according to the programming content to achieve a specific purpose or effect. For example, the exercise lesson plan allows the operator to improve sleep, adjust breathing, eliminate fat, increase aerobic, and recover independently. Jian et al.

The programmable smart motion lesson plan method starts at step S11, which provides a time slot programming area. You can also refer to Figure 2 for the operation screen of the time slot programming area. Here, the time slot programming area is explained by taking the application program as an example. The expert can execute the application program on, for example, a portable electronic device and access the programming area when the application program is started. Furthermore, a time-slot programming area is taken as an example for illustration. In other embodiments, the number of time-slot programming areas can be adjusted to multiple according to different motion schemes, and the number is not limited, for example, the upper right of FIG. 2 The plus sign of the corner allows experts to add another time slot programming area with touch. In addition, the time slot programming area contains one or more conditional expressions. On the time axis, the time slot programming area indicates that the execution of one or more conditional expressions is completed between the start time and the end time, for example, between the start time and the end time. The difference can be controlled within a few seconds, for example, the content of the time slot programming area is executed in 1 second.

Returning to FIG. 1 and referring to FIG. 2 together, step S12 is to establish a conditional expression in the time slot programming area. Among them, the conditional grammar consists of a flow control and a relational operator. The aforementioned control process (also called process control) is a term in the field of computer computing, which refers to the order, number, or frequency of executing each conditional expression. For example, process control can be composed of IF, THEN, ELSE. The judgment is that if a certain condition of (IF) is met, then (THEN) executes a certain action; conversely, if (IF) a certain condition does not Is satisfied, then (ELSE) perform another action. In addition, the relational operator can be greater than (>), less than (>), equal to (=), addition (+), cut (-), etc.

It is important to note that a conditional expression is taken as an example for illustration. In other embodiments, the number of conditional expressions can be adjusted to multiple, and the number is not limited. For example, the plus sign next to the conditional expression in Figure 2. Allows experts to add another conditional expression through touch.

Step S13, adding at least one of a dynamic parameter, a static parameter, and a control parameter to the conditional formula, so that the selected dynamic parameter and the static parameter satisfy the conditional formula, and the control parameter is output to the sports equipment to control the sports equipment. In this step, the conditional formula can add parameters as thresholds or perform specified actions. In one embodiment, the parameters can be made into a drop-down menu for experts to choose.

The aforementioned dynamic parameters include collecting the dynamic information of the operator and/or collecting the movement information of the sports equipment.

The aforementioned dynamic information is measured from the physiological values of the operator’s heart rate, pulse, blood pressure, intraocular pressure, respiratory throughput, electrophysiological signals, skin humidity, central artery stiffness, and upper arm artery stiffness. The aforementioned physiological values can be checked by, for example, a detector. The operator performs detection. In another embodiment, the dynamic information can also be adjusted and set by the operator.

The aforementioned action information is to collect the driving value generated by the operator operating the sports equipment, for example, the driving value is related to resistance, thrust, speed, velocity, direction, gravity, and time. For example, the operator acts on the sports equipment, and the sports equipment receives a resistance or thrust, and then pushes backward or confirms how much force the operator exerts.

The aforementioned static parameters are related to the operator's age, height, weight, heartbeat, blood pressure, intraocular pressure, respiratory throughput, electrophysiological signals, skin humidity, central artery stiffness, upper arm artery stiffness, weight, body fat percentage, water ratio, Protein ratio, basal metabolic rate, visceral fat grade, muscle weight, bone density, pulse, physical and mental indicators. The static parameters can be input by the operator, other measuring instruments, or measured at a measuring machine (such as a health station).

The aforementioned control parameters are the opposite actions compared to the action information. The purpose of the control parameters is to output to and drive the sports equipment. Unlike the action information, which collects current relevant values from the sports equipment. Therefore, the control parameters can be used to control the sports equipment to produce a specific resistance, thrust, speed, velocity, gravity, etc. or to set the sports equipment in a specific direction, weight, time, etc. In addition, the control parameters also include text, audio, and visual information for guiding, warning, and reminding the operator, so that the operator can know how to make improvements or the resistance, thrust, speed, velocity, gravity, etc. that will be encountered.

Therefore, through the selection of the above parameters, experts can effectively design the most suitable conditional formulas based on different parameters to simulate every exercise lesson plan designed by the experts.

Returning to Fig. 1, step S14, setting the time slot programming area on a time axis. In this step, the time slot programming area is executed in the order of a time axis to form a motion lesson plan. In this embodiment, the motion lesson plan has only one time slot programming area. In other embodiments, the number of time slot programming areas may not be limited to one. In other words, there can be multiple time slot programming areas on the time axis, and each time Slot programming areas can be performed independently or partially overlapping each other.

For example, in step S11, the second time slot programming area is further expanded in the time slot programming area, and the second time slot programming area can also perform steps S12 to S14, but the description of the time slot programming area is changed from the second time slot programming area. Slot programming area is replaced. In addition, the start time of the second time slot programming area on the time axis is later than the start time of the time slot programming area.

In yet another embodiment, the second time slot programming area can select to execute a specific conditional formula or adjust a fixed value that has been preset in the conditional formula according to the dynamic parameters after the execution of the time slot programming area. The aforementioned fixed value refers to an expert Pre-set dynamic parameters, static parameters, and control parameters.

In addition to the aforementioned steps, this method also includes writing lesson plan goals, lesson plan goals, guidance messages, and warning messages in the time slot programming area. Among them, the guidance message and the warning message can be related to the conditional formula. For example, when a certain conditional formula is to be executed, the operator needs to be notified in advance. Experts can add this guide message and warning message when programming. Therefore, corresponding guidance messages and warning messages can be selectively output according to the conditional formula, and the exercise equipment can be controlled with the control parameters. In addition, the purpose of the lesson plan and the goal of the lesson plan allow experts to provide the expected goals and objectives for their exercise tutorials, so that the operator can understand.

Please refer to FIG. 3, which is a block diagram of the programmable intelligent exercise teaching plan system according to the first embodiment of the present invention. In FIG. 3, the programmable intelligent sports lesson plan system 10 allows an operator (or expert) to program a sports lesson plan SP.

The programmable intelligent sports lesson plan system 10 includes an input unit 12, an output unit 14 and a processing unit 16.

The input unit 12 samples a dynamic information DI of the operator, collects a motion information MI of a sports equipment, or allows the operator to input dynamic information, motion information, lesson plan goals, lesson plan goals, a guide message, and a warning message.

The output unit 14 receives the control parameter CP for driving the sports equipment to generate a resistance, a thrust, a speed, a direction and a gravity, or output the purpose of the lesson plan, the target of the lesson plan, the guidance message, and the warning message.

The processing unit 16 connects the input unit 12 and the output unit 14. The processing unit 16 executes a programmable smart sports lesson plan application APP with a time slot programming area TS. Wherein, the time slot programming area TS is one or more, and each time slot programming area TS operates independently or adjusts the next time slot programming area TS according to the previous time slot programming area TS. Refer to the foregoing description. The time slot programming area TS is a conditional formula composed of at least one of dynamic parameters, static parameters, a process control, a relational operator, teaching plan goals, teaching plan goals, a guidance message and a warning message. The processing unit 16 executes the conditions. Formula and output the control parameter CP.

The processing unit 16 receives at least one of dynamic information, action information, lesson plan purpose, lesson plan goal, guidance information, and warning message from the operator, and establishes the time slot programming area on the time axis to form a motion lesson plan SP.

The present invention has been disclosed in a preferred embodiment above, but those skilled in the art should understand that the embodiment is only used to describe the present invention and should not be construed as limiting the scope of the present invention. It should be noted that all changes and substitutions equivalent to this embodiment should be included in the scope of the present invention. Therefore, the protection scope of the present invention should be defined by the scope of the patent application.

S11-S14: Method steps 12: Input unit 14: output unit 16: processing unit DI: Dynamic Information MI: Action Information TS: Time slot programming area APP: Programmable smart sports lesson plan application CP: Control parameters SP: Sports lesson plan

Fig. 1 is a schematic flowchart of a programmable intelligent exercise teaching plan method according to the first embodiment of the present invention. FIG. 2 is a schematic diagram illustrating the operation screen of the time slot programming area in FIG. 1 of the present invention. Fig. 3 is a block diagram of the programmable intelligent exercise teaching plan system according to the first embodiment of the present invention.

S11-S14: Method steps

Claims (11)

A programmable intelligent exercise lesson plan method for experts to program exercise lesson plans to guide the operator to conduct autonomous training through exercise equipment. The programmable intelligent exercise lesson plan method includes: (a) Provide time slot programming area; (b) Create a conditional expression in the time slot programming area, where the syntax of the conditional expression is composed of process control and relational operators; (c) Add at least one of a dynamic parameter, a static parameter, and a control parameter to the conditional formula, so that the selected dynamic parameter and the static parameter satisfy the conditional formula, and the control parameter is output to the sports equipment to control the sports equipment ;as well as (d) Set the time slot programming area on the time axis. As for the programmable smart motion teaching plan method described in item 1 of the scope of patent application, in step (a), the time slot programming area augments the second time slot programming area, and the second time slot programming area executes step (b) To (d), where the description of the time slot programming area is replaced by the second time slot programming area, and the start time of the second time slot programming area on the time axis is later than the start of the time slot programming area time. For the programmable intelligent motion teaching plan method described in item 2 of the scope of patent application, the second time slot programming area selects to execute the specific conditional expression or adjust the conditional expression according to the dynamic parameters after executing the time slot programming area A fixed value that has been preset in. According to the programmable intelligent exercise teaching plan method described in item 1 of the scope of patent application, the dynamic parameter further includes at least one of collecting dynamic information of the operator and collecting movement information of the exercise equipment. As described in item 3 of the scope of patent application, the programmable intelligent exercise teaching plan method, wherein in the step of collecting the dynamic information of the operator, the dynamic information is measured from the operator's heart rate, pulse, blood pressure, intraocular pressure, respiration Physiological value of at least one of throughput, electrophysiological signal, skin humidity, central artery stiffness, and upper arm artery stiffness. The programmable intelligent exercise teaching plan method described in item 3 of the scope of patent application, wherein in the step of collecting the movement information of the exercise equipment, the driving value generated in the exercise equipment is collected when the operator operates the exercise equipment, The driving value is related to at least one of resistance, thrust, speed, velocity, direction, gravity, weight, and time. The programmable intelligent exercise teaching plan method described in item 1 of the scope of patent application, wherein the static parameters are related to the operator’s age, height, weight, heartbeat, blood pressure, intraocular pressure, respiratory throughput, electrophysiological signals, skin The static parameters of at least one of humidity, central artery stiffness, upper brachial artery stiffness, body weight, body fat percentage, water ratio, protein ratio, basal metabolic rate, visceral fat level, muscle weight, bone density, pulse, and physical and mental indicators, the The static parameters are selectively generated from the measuring machine. The programmable intelligent exercise teaching plan method described in item 1 of the scope of patent application, wherein before step (d), it further includes writing at least one of the purpose of the teaching plan, the goal of the teaching plan, the guidance message and the warning message in the time slot programming area , Where the guidance message and warning message are related to the conditional expression. For example, the programmable intelligent exercise teaching plan method described in item 7 of the scope of patent application, wherein the corresponding guidance message and the warning message are selectively output according to the conditional formula, and the exercise equipment is controlled in accordance with the control parameter. A programmable intelligent sports teaching plan system for the operator to program sports teaching plans. The programmable intelligent sports teaching plan system includes: The input unit is to sample the dynamic information of the operator and collect the action information of the sports equipment, or for the operator to input at least one of the dynamic information, the action information, the purpose of the lesson plan, the goal of the lesson plan, the guidance message and the warning message ； The output unit receives control parameters for driving the exercise equipment to generate resistance, thrust, speed, direction and gravity, or outputs at least one of the purpose of the lesson plan, the target of the lesson plan, the guidance message and the warning message; and The processing unit is connected to the input unit and the output unit. The processing unit executes a programmable intelligent motion lesson plan application with a time slot programming area. The time slot programming area is composed of the dynamic parameters, the static parameters, flow control, and relational operations. A conditional formula consisting of at least one of the sub, the purpose of the lesson plan, the goal of the lesson plan, the guidance message, the warning message, and the control parameter; The processing unit receives at least one of the dynamic information, the action information, the purpose of the lesson plan, the target of the lesson plan, the guidance message, and the warning message from the operator, and establishes the time slot programming area on the time axis to form Sports lesson plans. For example, the programmable intelligent movement teaching plan system described in item 10 of the scope of patent application, wherein the time slot programming area is one or more, and each time slot programming area operates independently or is adjusted according to the previous time slot programming area The next time slot programming area.

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