Fitness equipment control method and system

Abstract

The invention relates to the technical field of fitness equipment control, in particular to a fitness equipment control method and system.The normal range of multiple physiological feature values and the threshold value of each physiological feature value are predicted through basic feature information of a body builder, and the multiple physiological feature values of the body builder are detected through wearable detection equipment before exercise; and judging whether the plurality of physiological characteristic values of the body builder meet the predicted normal range or not, if not, performing voice reminding, which is helpful for avoiding injury and danger to the body due to exercise, and performing real-time detection on the plurality of physiological characteristic values of the body builder through the wearable detection equipment in the exercise process, so that the health of the body builder is improved. According to the embodiment of the invention, whether the plurality of physiological characteristic values of the body builder exceed the threshold value or not is judged, and when the plurality of physiological characteristic values exceed the threshold value, reminding and timely closing of the body building equipment are performed, so that dangers are avoided to a certain extent, and certain safety guarantee is provided for the body builder.

Description

Technical Field

[0001] The present invention relates to the technical field of fitness equipment control, and particularly to a fitness equipment control method and system. Background Art

[0002] With the improvement of living standards, maintaining a good physical condition has become a basic pursuit of people, and going to the gym for fitness has become one of the daily items for many people. However, due to the different basic physical condition information of each person, when facing some fitness equipment, not all fitness equipment is suitable for all fitness enthusiasts. If used improperly, some physical discomfort may occur during use, thus bringing certain risks to fitness enthusiasts.

[0003] Therefore, being able to detect some physiological characteristic values of fitness enthusiasts before and during fitness, and reminding fitness enthusiasts or stopping fitness equipment according to the physiological characteristic values, so as to avoid the harm and danger brought to fitness enthusiasts, is one of the problems that need to be solved for fitness equipment at present. Summary of the Invention

[0004] In order to solve the technical problems existing in the above background art, the present invention provides a fitness equipment control method and system, which can realize the detection of physiological characteristic values of fitness enthusiasts, and thus help to avoid the harm and danger brought to fitness enthusiasts.

[0005] In order to achieve the above technical solution, in the first aspect, the present invention provides a fitness equipment control method, including the following steps: Step 1: Obtain the basic characteristic information of the fitness enthusiast, where the basic characteristic information includes: height, weight, and age; Step 2: Based on the obtained basic characteristic information, predict the normal range of multiple physiological characteristic values of the fitness enthusiast and the threshold of each physiological characteristic value through a pre-trained neural network model; Step 3: Determine whether the main control device is successfully connected to the wearable detection device. If so, obtain multiple physiological characteristic values of the fitness enthusiast. If not, give a voice reminder; Step 4: Determine whether all the obtained multiple physiological characteristic values are within the normal range. If so, control the fitness equipment to enter the working mode. If not, give a voice reminder; Step 5: When the fitness equipment enters the working mode, continuously obtain multiple physiological characteristic values of the fitness enthusiast, and determine whether each physiological characteristic value does not exceed its corresponding preset threshold. If not, give a voice reminder through the voice reminder module and control the fitness equipment to enter the stop mode.

[0006] Further, the method further includes: Detect the fitness equipment through the thermal imaging detection module to obtain a thermal image; Analyze the obtained thermal image to determine whether there is a fitness person using the fitness equipment. If not, generate a stop instruction; Control the fitness equipment to enter the stop mode based on the generated stop instruction.

[0007] Furthermore: Based on multiple physiological characteristic values collected in real time, generate a time characteristic value curve graph and display it in real time.

[0008] In a second aspect, the present invention provides a fitness equipment control system, including: A wearable detection device and a main control device. The wearable detection device is wirelessly communicatively connected to the main control device; the main control device is arranged on the fitness equipment and is communicatively connected to the fitness equipment by wire; The wearable detection device includes: a first processor, and the first processor is connected with a physiological characteristic detection module and a first wireless communication module; The physiological characteristic detection module is used to detect multiple physiological characteristic values of the fitness person; The first wireless communication module is used to wirelessly communicatively connect with the main control device to send the multiple physiological characteristic values detected by the physiological characteristic detection module to the main control device; The main control device includes: a second processor, and the second processor is connected with a second wireless communication module, a human-computer interaction module, a neural network-based prediction module, a first judgment module, a data acquisition module, a voice reminder module, a second judgment module, a time characteristic value curve graph generation module, a thermal imaging detection module, an image analysis module, a communication interface and a third judgment module; The second wireless communication module is used to pair with the first wireless communication module to realize the wireless communication connection between the wearable detection device and the main control device; The neural network-based prediction module is used to predict the normal range of the multiple physiological characteristic values of the fitness person and the threshold of each physiological characteristic value through a pre-trained neural network model based on the input basic characteristic information; The first judgment module is used to judge whether the connection between the main control device and the wearable detection device is successful and generate a first judgment result, where the first judgment result is successful or unsuccessful; The data acquisition module is used to acquire and receive the multiple physiological characteristic values detected by the wearable detection device after the connection between the main control device and the wearable detection device is successful; The second judgment module is used to judge whether the multiple physiological characteristic values obtained are all within the normal range and generate a second judgment result; the second judgment result includes: within the normal range and not within the normal range; A third judgment module, configured to judge whether each physiological characteristic value exceeds the corresponding preset threshold, and generate a third judgment result, where the third judgment result includes not exceeding or at least one of them exceeding; A voice reminder module, configured to perform a voice reminder based on the unsuccessful pairing in the first judgment result, out of the normal range in the second judgment result, and at least one of them exceeding in the third judgment result; A communication interface, which is used to communicate and connect with a fitness device to control the working mode of the fitness device, where the working mode includes: a stop mode and a working mode.

[0009] Further, the second processor further includes: a thermal imaging detection module and an image analysis module; The thermal imaging detection module is configured to detect the fitness device to obtain a thermal image; The image analysis module is configured to analyze the thermal image to judge whether there is a fitness person using the fitness device, and generate a fourth judgment result, where the fourth judgment result includes not in use and in use.

[0010] Further, the second processor is further connected to a characteristic value curve generation module, and the characteristic value curve generation module is configured to generate a time characteristic value curve based on multiple physiological characteristic values collected in real time, and perform real-time display.

[0011] In a third aspect, the present invention provides a computer-readable storage medium, where the computer-readable storage medium includes a stored program, and when the program runs, it controls the device where the computer-readable storage medium is located to execute the above-mentioned fitness device control method.

[0012] The beneficial effects of the present invention are as follows: (1) The present invention predicts the normal range of multiple physiological characteristic values and the threshold of each physiological characteristic value through the basic characteristic information of the fitness person, and judges whether the multiple physiological characteristic values of the fitness person meet the predicted normal range before exercise. If not, a voice reminder is given, which helps to avoid harm and danger to the body caused by exercise, and during exercise, it is judged in real time whether the multiple physiological characteristic values of the fitness person exceed the threshold, and a reminder is given and the fitness device is turned off in time when the threshold is exceeded, thereby helping to avoid the occurrence of danger to a certain extent and providing a certain safety guarantee for the fitness person.

[0013] (2) The present invention judges whether the fitness person is using the fitness device through thermal imaging, and turns off the fitness device when not in use, avoiding resource waste and preventing other fitness persons from using it when the device is in operation, which may bring certain danger. Description of the Drawings

[0014] The accompanying drawings forming a part of this invention are used to provide a further understanding of the invention. The schematic embodiments of the invention and their descriptions are used to explain the invention and do not constitute an improper limitation of the invention.

[0015] Figure 1 It is a flowchart of a control method for a fitness device according to the present invention.

[0016] Figure 2 It is a schematic block diagram of a control system for a fitness device according to the present invention. Detailed implementation manners

[0017] The present invention will be further described below in conjunction with the accompanying drawings and embodiments.

[0018] It should be noted that the following detailed description is exemplary and is intended to provide further explanation of the present invention. Unless otherwise specified, each technical and scientific term used in this embodiment has the same meaning as commonly understood by those of ordinary skill in the technical field to which the present invention belongs.

[0019] It should be noted that the terms used herein are only for describing specific implementation manners and are not intended to limit the exemplary embodiments according to the present invention. As used herein, unless the context clearly indicates otherwise, the singular form is also intended to include the plural form. In addition, it should be understood that when the terms "comprise" and / or "include" are used in this specification, they indicate the presence of features, steps, operations, devices, components, and / or combinations thereof.

[0020] In the present invention, terms such as "upper", "lower", "left", "right", "front", "rear", "vertical", "horizontal", "side", "bottom", etc. indicate the orientation or positional relationship based on the orientation or positional relationship shown in the accompanying drawings. They are only relationship terms determined for the convenience of describing the structural relationship of each component or element of the present invention and do not specifically refer to any component or element of the present invention and should not be construed as a limitation of the present invention.

[0021] In the present invention, terms such as "fixed connection", "connected", "connected" should be understood in a broad sense, which may mean a fixed connection, an integral connection or a detachable connection; it may be directly connected or indirectly connected through an intermediate medium. For those skilled in the relevant scientific research or technology in this field, the specific meanings of the above terms in the present invention can be determined according to specific circumstances and should not be construed as a limitation of the present invention.

[0022] Embodiment 1: As Figure 1 shown, this embodiment provides a control method for a fitness device, including the following steps: S1: Obtain the basic characteristic information of the fitness person, where the basic characteristic information includes: information such as height, weight, age, etc.

[0023] S2: Based on the obtained basic feature information, through a pre-trained neural network model, predict the normal ranges of multiple physiological feature values of the fitness person and the thresholds for each physiological feature value.

[0024] Among them, the multiple physiological features include: heart rate, blood pressure, etc.; the thresholds include the maximum threshold and the minimum threshold.

[0025] Specifically, the pre-trained neural network model predicts the heart rate range, blood pressure range, maximum and minimum thresholds of heart rate, and maximum and minimum thresholds of blood pressure of the fitness person under normal circumstances according to information such as the height, weight, and age of healthy people.

[0026] Because there are differences in different ages, weights, and heights both in the exercise state and in the normal state.

[0027] S3: Determine whether the main control device is successfully connected to the wearable detection device. If so, obtain multiple physiological feature values of the fitness person. If not, give a voice reminder through the voice reminder module.

[0028] S4: Determine whether all the obtained multiple physiological feature values are within the normal ranges. If so, control the fitness device to enter the working mode. If not, give a voice reminder through the voice reminder module.

[0029] S5: When the fitness device enters the working mode, continuously obtain multiple physiological feature values of the fitness person, and determine whether each physiological feature value does not exceed its corresponding preset threshold. If not, give a voice reminder through the voice reminder module and control the fitness device to enter the stop mode.

[0030] Specifically, if any of the following situations is not satisfied, give a voice reminder through the voice reminder module and control the fitness device to enter the stop mode; The heart rate is not greater than the maximum threshold of the heart rate and not less than the minimum threshold of the heart rate; The blood pressure is not greater than the maximum threshold of the blood pressure and not less than the minimum threshold of the blood pressure.

[0031] The present invention predicts the normal ranges of multiple physiological characteristic values and the thresholds of each physiological characteristic value based on the basic characteristic information of the fitness person. Before exercise, a wearable detection device is used to detect multiple physiological characteristic values of the fitness person, and it is determined whether the multiple physiological characteristic values of the fitness person meet the predicted normal ranges. If not, a voice reminder is given, which helps to avoid harm and danger to the body caused by exercise. During exercise, multiple physiological characteristic values of the fitness person are detected in real time through the wearable detection device to determine whether the multiple physiological characteristic values of the fitness person exceed the thresholds, and a reminder is given and the fitness device is timely shut down when the thresholds are exceeded, thereby helping to avoid the occurrence of danger to a certain extent and providing a certain degree of safety guarantee for the fitness person.

[0032] In this embodiment, the method further includes: Q1: Based on multiple physiological characteristic values collected in real time, generate a time characteristic value curve graph and display it in real time for the fitness person to view in real time.

[0033] Q2: Detect the fitness device through a thermal imaging detection module to obtain a thermal image; Q3: Analyze the obtained thermal image to determine whether there is a fitness person using the fitness device. If not, generate a stop instruction. Q3: Control the fitness device to enter the stop mode based on the generated stop instruction.

[0034] During the exercise of the fitness person, it may often occur that the fitness person leaves the fitness device with the wearable device, causing the fitness device to always be in the working mode. By using thermal imaging to determine whether the fitness person is using the fitness device and shutting down the fitness device when not in use, not only avoids resource waste, but also helps to prevent other fitness persons from using it when the device is in the running state, bringing certain danger.

[0035] Embodiment 2: As Figure 2 shown, this embodiment provides a fitness device control system, including: a wearable detection device and a main control device; the wearable detection device is wirelessly communicatively connected to the main control device; the main control device is arranged on the fitness device and is in wired communication connection with the fitness device; The wearable detection device 1 includes: a first processor 1-1, and the first processor 1-1 is connected to a physiological characteristic detection module 1-2 and a first wireless communication module 1-3.

[0036] The physiological characteristic detection module 1-2 is used to detect multiple physiological characteristic values of the fitness person; the physiological characteristic detection module includes: a heart rate detection unit and a blood pressure detection unit; the heart rate detection unit is used to detect the heart rate of the fitness person; the blood pressure detection unit is used to detect the blood pressure of the fitness person.

[0037] The first wireless communication module 1-3 is used to wirelessly communicate and connect with the master device, so as to send multiple physiological characteristic values detected by the physiological characteristic detection module to the master device.

[0038] The master device 2 includes: a second processor 2-1, a second wireless communication module 2-2, a human-computer interaction module 2-3, a neural network-based prediction module 2-4, a first judgment module 2-5, a data acquisition module 2-7, a voice reminder module 2-8, a second judgment module 2-6, a time characteristic value curve graph generation module 2-11, a thermal imaging detection module 2-9, an image analysis module 2-10, a communication interface 2-12, and a third judgment module 2-13.

[0039] The second processor 2-1 is connected to the second wireless communication module 2-2, the human-computer interaction module 2-3, the neural network-based prediction module 2-4, the first judgment module 2-5, the data acquisition module 2-7, the voice reminder module 2-8, the second judgment module 2-6, the time characteristic value curve graph generation module 2-11, the thermal imaging detection module 2-9, the image analysis module 2-10, the communication interface 2-12, and the third judgment module 2-13, respectively, to control them.

[0040] The human-computer interaction module 2-3 is used to input the basic characteristic information of the fitness person and display the obtained physiological characteristic values; The second wireless communication module 2-2 is used to pair with the first wireless communication module to realize the wireless communication connection between the wearable detection device and the master device, so as to receive multiple physiological characteristic values sent by the wearable detection device; The neural network-based prediction module 2-4 is used to predict the normal range of multiple physiological characteristic values of the fitness person and the threshold of each physiological characteristic value through a pre-trained neural network model based on the input basic characteristic information; The first judgment module 2-5 is used to judge whether the master device and the wearable detection device are successfully connected and generate a first judgment result, where the first judgment result is success or failure; wherein, the judgment of whether the master device and the wearable detection device are successfully connected is specifically to judge whether the first wireless communication module and the second wireless communication module are successfully paired; The data acquisition module 2-7 is used to acquire multiple physiological characteristic values detected by the wearable detection device after the master device and the wearable detection device are successfully connected.

[0041] The second judgment module 2-6 is used to judge whether the obtained multiple physiological characteristic values are all within the normal range and generate a second judgment result; the second judgment result includes: within the normal range and not within the normal range; The third judgment module 2-13 is used to judge whether each physiological characteristic value exceeds the corresponding preset threshold, and generate a third judgment result, where the third judgment result includes not exceeding or at least one of them exceeding; The voice reminder module 2-8 is used to perform voice reminder based on the unsuccessful pairing in the first judgment result, out of the normal range in the second judgment result, and at least one of them exceeding in the third judgment result.

[0042] The thermal imaging detection module 2-9 is used to detect the fitness equipment to obtain a thermal image; The image analysis module 2-10 is used to analyze the thermal image to judge whether there is a fitness person using the fitness equipment, and generate a fourth judgment result, where the fourth judgment result includes not in use and in use; The communication interface 2-12 is used to communicate with the fitness equipment to control the working mode of the fitness equipment, where the working mode includes: stop mode and working mode.

[0043] Specifically, the second controller is connected to the fitness equipment through the communication interface, and based on being within the normal range in the second judgment result, the fitness equipment is controlled to the start mode through the communication interface, and based on not in use in the fourth judgment result and at least one of them exceeding in the third judgment result, the fitness equipment is controlled to the stop mode through the communication interface.

[0044] The characteristic value curve graph generation module 2-11 generates a time characteristic value curve graph based on multiple physiological characteristic values collected in real time, and performs real-time display for the fitness person to view in real time.

[0045] Embodiment 3: This embodiment provides a computer-readable storage medium, where the computer-readable storage medium includes a stored program, and when the program runs, it controls the device where the computer-readable storage medium is located to execute the fitness equipment control method described in Embodiment 1.

[0046] For the same and similar parts among the various embodiments in this specification, reference can be made to each other. In particular, for the terminal embodiments, since they are basically similar to the method embodiments, the description is relatively simple, and the relevant parts can refer to the description in the method embodiments.

[0047] In several embodiments provided by the present invention, it should be understood that the disclosed systems and methods can be implemented in other ways. For example, the system embodiments described above are merely illustrative. For example, the division of the units is only a logical function division. In actual implementation, there may be other division methods. For example, multiple units or components can be combined or integrated into another system, or some features can be ignored or not executed. Another point is that the couplings or direct couplings or communication connections shown or discussed with each other can be through some interfaces. The indirect couplings or communication connections of the systems or units can be in electrical, mechanical or other forms.

[0048] The units described as separate components may or may not be physically separated. The components shown as units may or may not be physical units, that is, they can be located in one place or distributed to multiple network units. Some or all of the units can be selected according to actual needs to achieve the purpose of the solution of this embodiment.

[0049] In addition, it should be noted that the flowcharts in the drawings show the methods of the embodiments of the present disclosure. In the descriptions corresponding to the flowcharts or block diagrams in the drawings, the operations or steps corresponding to different blocks may also occur in a different order than that disclosed in the description. Sometimes, there is no specific order between different operations or steps. For example, two consecutive operations or steps can actually be executed substantially in parallel, and sometimes they can also be executed in the reverse order, which can depend on the functions involved. Each block in the block diagram and / or flowchart, as well as the combination of blocks in the block diagram and / or flowchart, can be implemented by a dedicated hardware-based system that performs the specified functions or actions, or can be implemented by a combination of dedicated hardware and computer instructions.

[0050] The above are only the preferred embodiments of the present invention and are not used to limit the present invention. For those skilled in the art, the present invention can have various changes and modifications. Any modifications, equivalent replacements, improvements, etc. made within the spirit and principle of the present invention shall be included within the protection scope of the present invention.

Claims

1. A method for controlling a fitness device, characterized in that Including the following steps: Step 1: Obtain the basic characteristic information of the fitness person, where the basic characteristic information includes: height, weight and age; Step 2: Based on the obtained basic characteristic information, through a pre-trained neural network model, predict the normal range of multiple physiological characteristic values of the fitness person and the threshold value of each physiological characteristic value; Step 3: Determine whether the main control device is successfully connected to the wearable detection device. If so, obtain multiple physiological characteristic values of the fitness person. If not, give a voice reminder; Step 4: Determine whether all the obtained multiple physiological characteristic values are within the normal range. If so, control the fitness device to enter the working mode. If not, give a voice reminder; Step 5: When the fitness device enters the working mode, continuously obtain multiple physiological characteristic values of the fitness person, and determine whether each physiological characteristic value exceeds its corresponding preset threshold. If not, give a voice reminder through the voice reminder module and control the fitness device to enter the stop mode.

2. The fitness equipment control method according to claim 1, wherein, The method further includes: Detect the fitness device through a thermal imaging detection module to obtain a thermal image; Analyze the obtained thermal image to determine whether there is a fitness person using the fitness device. If not, generate a stop instruction; Based on the generated stop instruction, control the fitness device to enter the stop mode.

3. The fitness equipment control method according to claim 1, characterized in that, The method further includes: Based on multiple physiological characteristic values collected in real time, generate a time characteristic value curve graph and display it in real time.

4. A fitness equipment control system, characterized in that, Including: A wearable detection device and a main control device. The wearable detection device is wirelessly communicatively connected to the main control device; the main control device is arranged on the fitness device and is communicatively connected to the fitness device by wire; The wearable detection device includes: a first processor, and the first processor is connected to a physiological characteristic detection module and a first wireless communication module; The physiological characteristic detection module is used to detect multiple physiological characteristic values of the fitness person; The first wireless communication module is used to wirelessly communicate with the main control device to send the multiple physiological characteristic values detected by the physiological characteristic detection module to the main control device; The main control device includes: a second processor, and the second processor is connected to a second wireless communication module, a human-computer interaction module, a neural network-based prediction module, a first judgment module, a data acquisition module, a voice reminder module, a second judgment module, a time characteristic value curve graph generation module, a thermal imaging detection module, an image analysis module, a communication interface and a third judgment module; The second wireless communication module is used to pair with the first wireless communication module to realize the wireless communication connection between the wearable detection device and the main control device; The neural network-based prediction module is used to, based on the input basic characteristic information, through a pre-trained neural network model, predict the normal range of multiple physiological characteristic values of the fitness person and the threshold value of each physiological characteristic value; The first judgment module is used to judge whether the main control device is successfully connected to the wearable detection device and generate a first judgment result, where the first judgment result is success or failure; The data acquisition module is used to obtain and receive multiple physiological characteristic values detected by the wearable detection device after the main control device is successfully connected to the wearable detection device; A second judgment module, configured to judge whether multiple acquired physiological characteristic values are all within the normal range, and generate a second judgment result; the second judgment result includes: within the normal range and not within the normal range; A third judgment module, configured to judge whether each physiological characteristic value exceeds the corresponding preset threshold, and generate a third judgment result, the third judgment result includes not exceeding or at least one of them exceeding; A voice reminder module, configured to perform voice reminder based on the unsuccessful pairing in the first judgment result, not within the normal range in the second judgment result, and at least one of them exceeding in the third judgment result; A communication interface, which is used to communicate and connect with a fitness device to control the working mode of the fitness device, wherein the working mode includes: a stop mode and a working mode.

5. The fitness equipment control system according to claim 4, characterized in that The second processor further includes: a thermal imaging detection module and an image analysis module; The thermal imaging detection module is configured to detect the fitness device to obtain a thermal image; The image analysis module is configured to analyze the thermal image to judge whether there is a fitness person using the fitness device, and generate a fourth judgment result, the fourth judgment result includes not in use and in use.

6. The fitness equipment control system according to claim 4, characterized in that, The second processor is further connected to a characteristic value curve graph generation module, and the characteristic value curve graph generation module is configured to generate a time characteristic value curve graph based on multiple real-time acquired physiological characteristic values and display it in real time.

7. A computer-readable storage medium, characterized in that, A computer-readable storage medium includes a stored program, wherein when the program runs, it controls the device where the computer-readable storage medium is located to execute the fitness device control method according to any one of claims 1 to 3.

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