Intelligent standing pile training equipment

Abstract

The invention discloses intelligent standing pile training equipment which comprises an equipment base, four bottom stabilizers, a support structure, a pressure sensor module, a posture detection module, a data feedback display screen and a muscle tension monitoring module, and the four bottom stabilizers are fixedly connected to the bottom of the equipment base in a rectangular shape. Data sources such as standing pile postures and muscle tension progress are collected through sensor technologies, a personalized training plan is conducted in cooperation with a data feedback system and according to analysis of different persons, intelligent and datamation development of traditional Tai Chi training is promoted, the problems that standing pile auxiliary functions are not comprehensive, data feedback is insufficient, and individuation is lacked are solved, and the training efficiency is improved. The problems are just the entry points of the design of intelligent standing pile training equipment, more scientific and efficient support can be provided for Tai Chi standing pile training by innovatively solving the problems, and the technical progress not only fills up the market blank, but also provides a new thought for modernization of traditional sports.

Description

Technical Field

[0001] The present invention relates to the technical field of standing training equipment, and in particular to intelligent standing training equipment. Background Art

[0002] TCM exercise for health preservation is a great cultural treasure of our country and an important part of TCM health preservation, which inherits the inherent characteristics of TCM. Standing posture is one of the unique health preservation exercises that has been passed down from ancient times to the present day, and contains rich TCM theoretical foundation and academic connotation. Standing posture adjusts the human body as a whole through a form of exercise that combines special body shape, even breathing, and relaxed consciousness, so as to fully mobilize the body's potential. Standing posture requires maintaining the basic upright posture of the body, with the limbs of the body evenly balanced and with a moderate degree of tightness, the Baihui point on the top of the head connected to the sky, and the Yongquan point on the bottom of the feet connected to the earth, so that people can communicate with the qi of heaven and earth, and promote communication between people and nature and the smooth flow of qi. "Shape" refers to the entity of human life, including internal organs, tissues, body organs, etc. The key points of standing posture movements include empty and light top strength, tongue against the upper palate, empty armpits, loose shoulders and elbows, chest and back, stretching waist and sinking hips, etc.

[0003] At present, there are some fitness-related equipment or auxiliary tools on the market, such as balance boards, pressure pads, fitness bands, etc. Although they can help trainees improve their balance or perform strength training, these devices are not specially designed for Tai Chi standing and cannot fully detect key indicators such as posture and center of gravity distribution during standing. These devices usually only provide a single training function and lack functional design that matches the specific needs of standing training, such as comprehensive posture detection and muscle tension feedback. At the same time, most of the existing equipment is of general design and cannot meet personalized training needs, and cannot provide the comprehensive training solutions required for Tai Chi standing. In addition, with the development of technology, some wearable devices and smart fitness equipment can monitor heart rate, steps, and cardio. Such devices monitor physical activity through built-in sensors and aim to improve fitness efficiency. Although these devices provide certain intelligent functions, they are poorly targeted due to their broad design purposes and are difficult to meet the special needs of Tai Chi standing practice. Standing practice emphasizes static balance and internal breath regulation, while existing wearable devices mostly focus on capturing dynamic motion data, making it difficult to accurately measure and provide feedback on key indicators in standing practice. In addition, existing devices are difficult to provide personalized training programs based on individual physical conditions, training goals, etc., especially in standing practice, where different practitioners have different needs, and existing devices are usually unable to provide training guidance tailored to individual needs. Through the analysis of the existing technology, it can be seen that there is a lack of intelligent devices designed specifically for Tai Chi standing on the market, and there are problems such as incomplete functions, insufficient data feedback, and lack of personalization; in view of this, the present application proposes an intelligent standing training device. Summary of the invention

[0004] The purpose of the present invention is to provide an intelligent standing training device to solve the problems raised in the above background technology.

[0005] To achieve the above-mentioned purpose, the present invention provides the following technical solutions: an intelligent standing training device, comprising a device base, a bottom stabilizer, a bracket structure, a pressure sensor module, a posture detection module, a data feedback display screen and a muscle tension monitoring module, wherein the number of the bottom stabilizers is four and they are fixedly connected to the bottom of the device base in a rectangular shape, the bracket structure is fixedly connected to the top of the device base, the data feedback display screen is fixedly installed on the right inner wall of the bracket structure, the pressure sensor module is fixedly installed on the top of the device base, and the posture detection module is installed on the rear inner wall and the left inner wall of the bracket structure; The data feedback display screen has built-in wireless transmission module, data processing unit and data feedback module, the wireless transmission module and the data feedback module are both connected to the data processing unit, the posture detection module and the muscle tension monitoring module are both wirelessly connected to the data processing unit via WIFI, and the pressure sensor module is wiredly connected to the data processing unit via a cable.

[0006] Preferably, the pressure sensor module is equipped with a plurality of high-precision pressure sensors for detecting the pressure distribution and the change of the center of gravity of the trainee's sole.

[0007] Preferably, the posture detection module includes a plurality of posture sensors, which are respectively arranged vertically and equidistantly on the rear inner wall and the left inner wall of the support structure, and can be adjusted in position on the support structure to match users of different heights. The plurality of posture sensors are used to respectively correspond to the relative positions of different body parts such as the head, shoulders, hips, knee joints and ankle joints of the human body when standing in a stance, and are used to calculate the body angles formed by adjacent parts to evaluate the correctness of the body posture when standing in a stance.

[0008] Preferably, the muscle tension monitoring module is a wearable device for the legs, waist and back. The wearable device is equipped with a surface electromyography sensor for monitoring the tension and activity status of the trainee's muscles, and is used to evaluate the force of various muscle groups in the body when maintaining standing training.

[0009] Preferably, the data processing unit is used to receive data detected by the pressure sensor module, the posture detection module and the muscle tension monitoring module, and the data processing unit is equipped with an algorithm analysis module, which can quickly analyze the real-time data; The data feedback module is equipped with a data feedback system, which feeds back the analysis results to the trainee through a data feedback display screen, sound prompts or vibration reminders.

[0010] Preferably, the wireless transmission module is used to realize wireless data transmission with a mobile device or a computer, the mobile device includes a smart bracelet, and the data processing unit is used to store the monitoring data on a cloud server through the wireless transmission module.

[0011] Preferably, the data processing unit can introduce an adaptive algorithm to automatically adjust the feedback mechanism based on historical data and real-time monitoring; The data feedback system has a built-in training plan generation module, which generates a personalized training plan based on the user's personal physical condition such as weight, height, physique and training goals; The data feedback system has a built-in data recording and history analysis module for recording the data of each training of the user and generating a training history report to help the user track his or her progress over the long term and evaluate the training effect.

[0012] Compared with the prior art, the present invention has the following beneficial effects: 1. The pressure sensor module, posture detection module and muscle tension monitoring module are set up, and the high-precision pressure sensor, posture sensor and surface electromyography sensor contained therein can monitor the trainee's standing posture, center of gravity distribution and muscle tension in real time, with significantly improved accuracy. Through this real-time monitoring and feedback mechanism, the trainee can adjust his standing posture immediately, reduce the potential health risks caused by long-term bad standing posture, and realize accurate posture detection and optimization; 2. Through real-time data collection and data feedback systems, trainees can quantify their own standing effects, such as posture stability and the balance of center of gravity distribution. This data-based training method makes the effect more intuitive, which can effectively improve trainees' enthusiasm and training quality, and realize the quantification and improvement of training effects; 3. By generating personalized training plans based on the physical condition and goals input by the trainees, the needs of different users can be better met. The personalized plans significantly improve the pertinence and effectiveness of the training, especially for people of different body shapes and age groups. It is safer and more scientific, and the safety of training is enhanced. The personalized training method can help a wider range of people, especially the middle-aged and elderly people and Tai Chi enthusiasts, to perform standing training in a scientific way, promote health, and reduce the risks brought by incorrect training methods. It can also be used in rehabilitation training to improve rehabilitation efficiency, making the training equipment have broad market prospects.

[0013] The present invention collects data sources such as standing posture and muscle tension progress through various sensor technologies, cooperates with the data feedback system and makes personalized training plans based on analysis of different personnel, thereby promoting the development of traditional Tai Chi training towards intelligence and dataization, and reducing the problems of incomplete standing auxiliary functions, insufficient data feedback, and lack of personalization. These problems are exactly the entry points for the design of intelligent standing training equipment. Solving these problems through innovation can provide more scientific and efficient support for Tai Chi standing training. This technological advancement not only fills the market gap, but also provides new ideas for the modernization of traditional sports. BRIEF DESCRIPTION OF THE DRAWINGS

[0014] Figure 1 This is a structural schematic diagram of an intelligent standing training device proposed by the present invention; Figure 2 This is a connection block diagram of an intelligent standing training device proposed by the present invention.

[0015] In the figure: 1. Equipment base; 2. Pressure sensor module; 3. Posture detection module; 4. Data feedback display screen; 5. Bracket structure; 6. Bottom stabilizer. DETAILED DESCRIPTION

[0016] 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.

[0017] like Figure 1 to Figure 2 As shown, an intelligent standing training device proposed in this embodiment includes a device base 1, a bottom stabilizer 6, a support structure 5, a pressure sensor module 2, a posture detection module 3, a data feedback display screen 4 and a muscle tension monitoring module, the number of the bottom stabilizers 6 is four and they are fixedly connected to the bottom of the device base 1 in a rectangular shape, the support structure 5 is fixedly connected to the top of the device base 1, the data feedback display screen 4 is fixedly installed on the right inner wall of the support structure 5, the pressure sensor module 2 is fixedly installed on the top of the device base 1, and the posture detection module 3 is installed on the rear inner wall and the left inner wall of the support structure 5; The data feedback display screen 4 has a built-in wireless transmission module, a data processing unit and a data feedback module. The wireless transmission module and the data feedback module are both connected to the data processing unit. The posture detection module 3 and the muscle tension monitoring module are both wirelessly connected to the data processing unit via WIFI. The pressure sensor module 2 is wiredly connected to the data processing unit via a cable to ensure real-time data transmission.

[0018] Specifically, the pressure sensor module 2 is equipped with multiple high-precision pressure sensors for detecting the pressure distribution and center of gravity changes on the soles of the trainee's feet; the high-precision pressure sensors are one of the thin film pressure sensors or resistive pressure sensors, which can capture tiny pressure changes, thereby accurately measuring the trainee's standing stability, and by real-time monitoring the trainee's center of gravity distribution, ensuring the correct center of gravity position during standing, and preventing muscle tension or joint injuries caused by bad posture.

[0019] Furthermore, the posture detection module 3 includes a plurality of posture sensors, which are respectively fixed on the rear inner wall and the left inner wall of the support structure 5 at equal intervals vertically, and can be adjusted on the support structure 5 to match users of different heights. The plurality of posture sensors are used to correspond to the relative positions of different body parts such as the head, shoulders, hips, knee joints, and ankle joints when standing, and are used to calculate the body angle formed by adjacent parts to evaluate the correctness of the body posture when standing. The posture sensor is one of the MPU-6050 posture sensors or the Xsens DOT posture sensors, which helps the trainee maintain the correct standing posture by comprehensively monitoring the posture changes of different parts, and avoids physical problems caused by incorrect posture.

[0020] Furthermore, the muscle tension monitoring module is a wearable device for the legs, waist and back, and the wearable device has a built-in surface electromyography sensor for monitoring the tension and activity status of the trainee's muscles; the surface electromyography sensor is one of the Picolite wireless surface electromyography sensor or the Shimmer3 electromyography sensor. Through monitoring and measurement, it prevents over-tense muscles from remaining in a bad state for a long time, thereby preventing possible injuries and helping the trainee optimize muscle use.

[0021] Furthermore, the data processing unit is used to receive the data detected by the pressure sensor module 2, the posture detection module 3 and the muscle tension monitoring module. The data processing unit has a built-in algorithm analysis module that can quickly analyze the real-time data; The data feedback module has a built-in data feedback system, which feeds back the analysis results to the trainee through the data feedback display screen 4, sound prompts or vibration reminders; for example, when an incorrect standing posture or a shift in the center of gravity is detected, the system can issue a sound prompt to remind the trainee to correct the posture, and through the real-time collection and processing of data, it helps the user to adjust the training posture and method in time, and provides real-time feedback accordingly, helping the user to maintain the best posture and improve the training effect.

[0022] Furthermore, the wireless transmission module is used to realize wireless data transmission with a mobile device or a computer. The mobile device includes a smart bracelet. The data processing unit is used to store the monitoring data on a cloud server through the wireless transmission module; remote data monitoring is realized, and the user can view the training history record through the mobile device application at any time, which is convenient for the user to view and manage the training data. The user can share the data with the coach or doctor through the mobile application to obtain professional guidance and suggestions.

[0023] Furthermore, the data processing unit can introduce an adaptive algorithm to automatically adjust the feedback mechanism based on historical data and real-time monitoring; for example, gradually increase the feedback frequency or prompt intensity to better adapt to the user's progress and changes; The data feedback system has a built-in training plan generation module, which generates personalized training plans based on the user's personal physical conditions such as weight, height, physique and training goals. Users can enter personal information in the mobile device application, and the data feedback system automatically adjusts the training intensity and standing time based on this information to provide tailored training plans to meet the personalized needs of different groups of people. The data feedback system has a built-in data recording and historical analysis module, which is used to record the data of each user's training and generate a training history report to help users track their progress in the long term and evaluate the training effect; through long-term data analysis, it helps users understand the training effect and adjust the training plan as needed.

[0024] The working process of this embodiment is as follows: before starting training, the user first adjusts the adjustable screw feet according to his or her height and posture requirements to ensure that the device is at a suitable height and inclination. Through four individually adjustable screw feet, the height and inclination of the entire device can be appropriately adjusted to better assist the standing work and reduce the risk of physical injury caused by improper posture or excessive training. This function is especially important for users who perform standing training for a long time, helping them to reasonably distribute the training intensity and avoid injury. Through the mobile device application and the data feedback display screen 4, the sensors are initialized and data collection begins. After the training starts, the pressure sensor module 2 monitors the pressure distribution on the sole of the user's foot in real time, and the posture detection module 3 and the muscle The muscle tension monitoring module works synchronously to detect the user's standing posture and muscle state. All data are transmitted to the data processing unit and analyzed by algorithms. The analyzed data will be immediately displayed on the data feedback display screen 4. If an incorrect posture or unstable center of gravity is detected, the data feedback display screen 4 will remind the user to correct it through sound or vibration. At the same time, the data feedback display screen 4 will display specific posture adjustment suggestions. The high-precision pressure sensor, posture sensor and surface electromyography sensor are used to monitor the trainer's standing posture, center of gravity distribution and muscle tension in real time, and the accuracy is significantly improved. Through this real-time monitoring and feedback mechanism, the trainer can adjust the standing posture immediately to reduce the potential health risks caused by long-term poor standing posture. Users can enter personal information in the mobile device application, and the data feedback system will generate a personalized training plan based on the input data and adjust the duration and intensity of standing still. After the training, users can view the training report of the day and adjust the subsequent training plan based on the data. During long-term training, if the device detects that the user's muscle tension is too high or the posture deviates greatly, the system will automatically trigger an alarm and suggest that the user temporarily stop training or adjust the posture. This detection function is achieved through the joint monitoring of surface electromyography sensors and posture sensors to ensure training safety. Through real-time data collection and data feedback systems, trainees can quantify their own standing still effects, such as posture stability and balanced center of gravity distribution. This This data-based training method makes the effect more intuitive, and can effectively improve the enthusiasm and training quality of the trainees. By generating personalized training plans based on the physical conditions and goals input by the trainees, the needs of different users can be better met. The use of personalized programs significantly improves the pertinence and effectiveness of training, especially among people of different body shapes and age groups. It is safer and more scientific. The use of personalized training methods can help a wider range of people, especially the middle-aged and elderly and Tai Chi enthusiasts, to perform standing training in a scientific way, promote health, and reduce the risks brought by incorrect training methods. It can also be used in rehabilitation training to improve rehabilitation efficiency, making this training equipment have broad market prospects. During training, the data feedback display screen 4 can record the user's training data for each time, including posture adjustment records, muscle tension data and training duration, etc. These data are stored on the cloud server through the wireless transmission module. The user can view the training history records at any time through the mobile device. The user can share the training data with the coach or doctor through the application to obtain professional guidance and suggestions.

[0025] Finally, it should be noted that the above is only a preferred embodiment of the present invention and is not intended to limit the present invention. Although the present invention has been described in detail with reference to the aforementioned embodiments, those skilled in the art can still modify the technical solutions described in the aforementioned embodiments or replace some of the technical features therein with equivalents. Any modification, equivalent replacement, improvement, etc. made within the spirit and principle of the present invention shall be included in the protection scope of the present invention.

Claims

1. An intelligent standing training device, characterized in that: The device comprises a device base (1), a bottom stabilizer (6), a support structure (5), a pressure sensor module (2), a posture detection module (3), a data feedback display screen (4) and a muscle tension monitoring module, wherein the bottom stabilizers (6) are four in number and are rectangular and fixedly connected to the bottom of the device base (1); the support structure (5) is fixedly connected to the top of the device base (1); the data feedback display screen (4) is fixedly mounted on the right inner wall of the support structure (5); the pressure sensor module (2) is fixedly mounted on the top of the device base (1); and the posture detection module (3) is mounted on the rear inner wall and the left inner wall of the support structure (5); The data feedback display screen (4) has a built-in wireless transmission module, a data processing unit and a data feedback module. The wireless transmission module and the data feedback module are both connected to the data processing unit. The posture detection module (3) and the muscle tension monitoring module are both wirelessly connected to the data processing unit via WIFI. The pressure sensor module (2) is wiredly connected to the data processing unit via a cable.

2. The intelligent standing training device according to claim 1, characterized in that: The pressure sensor module (2) has a plurality of high-precision pressure sensors built in, which are used to detect the pressure distribution and changes in the center of gravity of the trainee's sole.

3. The intelligent standing training device according to claim 1, characterized in that: The posture detection module (3) comprises a plurality of posture sensors, which are respectively arranged vertically and equidistantly on the rear inner wall and the left inner wall of the support structure (5), and can be adjusted in position on the support structure (5) to match users of different heights. The plurality of posture sensors are used to respectively correspond to the relative positions of different body parts such as the head, shoulders, hips, knee joints, and ankle joints of the human body when standing still, and are used to calculate the body angle formed by adjacent parts to evaluate the correctness of the body posture when standing still.

4. The intelligent standing training device according to claim 1, characterized in that: The muscle tension monitoring module is a wearable device for the legs, waist and back. The wearable device is equipped with a surface electromyography sensor for monitoring the tension and activity status of the trainee's muscles, and is used to evaluate the force of various muscle groups in the body when maintaining standing training.

5. The intelligent standing training device according to claim 1, characterized in that: The data processing unit is used to receive data detected by the pressure sensor module (2), the posture detection module (3) and the muscle tension monitoring module, and the data processing unit has a built-in algorithm analysis module capable of quickly analyzing real-time data; The data feedback module has a built-in data feedback system, and the data feedback system feeds back the analysis results to the trainee through a data feedback display screen (4), sound prompts or vibration reminders.

6. The intelligent standing training device according to claim 5, characterized in that: The wireless transmission module is used to realize wireless data transmission with a mobile device or a computer. The mobile device includes a smart bracelet. The data processing unit is used to store the monitoring data on a cloud server through the wireless transmission module.

7. The intelligent standing training device according to claim 5, characterized in that: The data processing unit may introduce an adaptive algorithm to automatically adjust the feedback mechanism based on historical data and real-time monitoring; The data feedback system has a built-in training plan generation module, which generates a personalized training plan based on the user's personal physical condition and training goals; The data feedback system has a built-in data recording and history analysis module for recording the data of each training of the user and generating a training history report to help the user track his or her progress over the long term and evaluate the training effect.

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