Intelligent horizontal bar pull-up training and checking system

Abstract

The utility model discloses an intelligent horizontal bar pull-up training and checking system which comprises a horizontal bar and further comprises a swing monitoring assembly which is detachably hung on the horizontal bar and comprises a transverse rod and two human body infrared induction modules, and the two human body infrared induction modules are installed at the two ends of the transverse rod in a sliding mode respectively; a treading area is arranged on the ground mat, and a pressure sensor is embedded in the treading area; the wearable sensing clothes comprise gloves, elbow protection sleeves and helmets; the examination terminal and the intelligent terminal are installed on the telescopic three-legged support and are in wireless connection with the human body infrared induction module, the pressure sensor and the wearable induction clothes. According to the horizontal bar pull-up training device, multiple sensing devices are established among the swing monitoring assembly, the ground mat, the wearing sensing clothes and the intelligent terminal, and whether the posture is in place, whether the action force is correct and whether the physical quality reaches the standard are concerned when trainees do horizontal bar pull-up training.

Description

Technical Field

[0001] This utility model relates to the field of military physical training technology, specifically to an intelligent single bar pull-up training and assessment system. Background Technology

[0002] In recent years, with the further revision and optimization of the "Military Physical Training Outline," military physical training programs have once again attracted attention. Military physical training is an important foundation for improving comprehensive combat effectiveness. A strong body not only ensures soldiers' physical performance on the battlefield but also enhances their psychological qualities and team cohesion, thus having a profound impact on the overall combat effectiveness of the troops.

[0003] Pull-ups, as a basic training exercise, can strengthen the muscles of the upper limbs and shoulders, enhancing both upper body strength and endurance. The key points of the movement are: Stand facing the bar, grip the bar with both hands in an overhand grip, slightly wider than shoulder-width apart, in a straight-arm hanging position. Hold this position for 3-5 seconds before pulling up. During the pull-up, the chin should pass over the bar, the forearms and upper arms should fold, and the body should not swing significantly. When lowering, straighten both arms.

[0004] Existing pull-up training and assessment systems focus more on the number of repetitions. How to verify the accuracy of trainees' movements and how to ensure that trainees master the key points of the new standard are still problems that need to be solved. Utility Model Content

[0005] This invention provides an intelligent single-bar pull-up training and assessment system that can more accurately test the accuracy of movements and more effectively assist soldiers in quickly mastering the key points of the movements, and can solve at least one of the above-mentioned technical problems.

[0006] To solve the above-mentioned technical problems, this utility model adopts the following technical solution: an intelligent pull-up training and assessment system, including a pull-up bar, and further comprising:

[0007] A swing amplitude monitoring component, which is detachably suspended on the horizontal bar, includes a horizontal bar and a human infrared sensing module. The horizontal bar is horizontally suspended below the horizontal bar of the horizontal bar and is perpendicular to the horizontal bar. There are two human infrared sensing modules, which are slidably installed at both ends of the horizontal bar.

[0008] A floor mat is placed in the center between the two vertical bars of the horizontal bar. The floor mat has a stepping area, and a pressure sensor is embedded in the stepping area.

[0009] Wearable sensing suit, which includes gloves, elbow pads and a helmet;

[0010] The assessment terminal is movable and placed opposite the horizontal bar. It includes a smart terminal centered on the horizontal bar and a height-adjustable telescopic tripod. The smart terminal is mounted on the telescopic tripod and is wirelessly connected to the human infrared sensing module, pressure sensor and wearable sensing clothing.

[0011] Furthermore, the gloves are in pairs, with a front and a back. The front corresponds to the palm of the hand, and the back corresponds to the back of the hand. The front of the gloves is covered with anti-slip bumps on the palm, and the palm of the gloves is embedded with a gripping force acquisition module. The gripping force acquisition module includes multiple pressure sensing points scattered on the palm and fingers, which are used to detect the changes in the force of the hand gripping the bar throughout the training process.

[0012] Furthermore, the glove has an elastic wrist cuff, which is embedded with a human baseline data acquisition module for detecting changes in basic human vital signs throughout the training process.

[0013] Furthermore, a key detection point is provided on the front of the glove at the center of the wrist. The key detection point is detected and identified by the image recognition module to detect whether the bar is gripped properly throughout the training process.

[0014] Furthermore, the elbow pad has two parts, with a front and a back. The front corresponds to the elbow crease and the back corresponds to the elbow joint. The front of the elbow pad has a raised dividing line along the width direction at the elbow crease. The front of the elbow pad has two pressure sensing areas symmetrically arranged on the arm with the raised dividing line as the boundary. The pressure sensing areas are embedded with contact sensors, which are used to detect whether the upper and lower arms are folded and touching each other when the arm is pulled up on the bar and whether the direction of force is straight.

[0015] Furthermore, key detection lines are provided along the length direction on the side between the front and back sides of the elbow pad. These key detection lines are detected and identified by the image recognition module to detect whether the arms are straight in the straight arm suspension state.

[0016] Furthermore, the helmet is connected to an adjustable strap, and a chin pad is fixed to the adjustable strap. A laser sensing module is embedded in the front of the chin pad. The laser sensing module includes at least a switch, a laser emitter, and a counter. The switch is used to turn the laser emitter on or off, the laser emitter is used to continuously emit a laser light source, and the counter is used to count the number of times the chin passes the horizontal bar.

[0017] Furthermore, the swing amplitude monitoring component also includes Velcro straps, a telescopic boom, a reinforcing connecting rod, and a sliding kit;

[0018] One end of the Velcro strap is fixed to the top of the telescopic boom for wrapping around and binding the crossbar, and for vertically suspending the telescopic boom below the crossbar;

[0019] The crossbar is horizontally fixed at the bottom of the telescopic boom, and the reinforcing connecting rod is inclinedly connected between the telescopic boom and the crossbar. The three form a triangular structure, and there are two reinforcing connecting rods, which are symmetrically distributed near the fixed position of the telescopic boom and the crossbar.

[0020] The sliding kit has two parts, which are respectively slidably fitted on both ends of the crossbar. The human infrared sensing module is embedded in the sliding kit, and both ends of the crossbar are respectively detachably threaded with plugs for blocking the sliding kit.

[0021] Furthermore, the smart terminal includes at least a face recognition module, an image recognition module, an analysis module, a speaker, a display module, and a printing module;

[0022] The facial recognition module is used to identify the facial information features of the current trainee and search and compare them in the system database. If an existing assessment information file of the current trainee is found in the system database, it is not necessary to create another assessment information file. If no existing assessment information file of the current trainee is found in the system database, it is necessary to create a new assessment information file.

[0023] The image recognition module is used to identify key detection points located on the front of the glove and key detection lines located on the back of the elbow pad.

[0024] The analysis module is used to receive and process the detection signals of various indicators sent by the pressure sensor, grip force acquisition module, human body base acquisition module, contact sensor, laser sensor module, human infrared sensor module, face recognition module and image recognition module, and determine the training data package of the current trainee. The training data package includes the monitoring data obtained by converting the various monitoring signals, the deficiencies that have not met the standards and the corresponding solutions.

[0025] The speaker is connected to the analysis module and is used to receive and broadcast the training data packets of the current trainees sent by the analysis module;

[0026] The display module is connected to the analysis module and is used to receive and display the training data packet of the current trainee sent by the analysis module;

[0027] The printing module is connected to the analysis module and is used to receive and print the training data packet of the current trainee sent by the analysis module.

[0028] Furthermore, it also includes a communication module, which uses wireless communication to upload the monitoring signals of the wearable sensing garment, the swing monitoring component, and the floor mat to the smart terminal in real time.

[0029] The beneficial effects of this utility model are reflected in:

[0030] 1. In this utility model, by establishing multiple sensing devices among the swing amplitude monitoring component, the ground mat, the wearable sensing clothing and the smart terminal, the system monitors whether the trainees' posture is correct, the force exertion is correct and the physical fitness meets the standards when they are doing pull-ups on a horizontal bar, thereby improving the quality and effectiveness of the training and the accuracy of the evaluation.

[0031] 2. In this utility model, the equipment structure is lightweight and simple, and easy to transport. The equipment uses wireless transmission to upload signals and data, which eliminates the constraints of wires. This not only makes the installation and disassembly of the training system more flexible and convenient, but also does not affect the normal use of the original horizontal bar on the training ground.

[0032] 3. This utility model can analyze and identify problems in the training process and provide solutions and suggestions, which not only makes the training results more intuitive and convenient, but also makes the improvement direction more targeted, ensuring that every trainee can fully master the key points of the pull-up. Attached Figure Description

[0033] The accompanying drawings, which are provided to further illustrate this application and form part of this application, illustrate exemplary embodiments of this application and are used to explain this application, but do not constitute an undue limitation of this application.

[0034] Figure 1 This is a schematic diagram showing the placement of the assessment terminal relative to the horizontal bar in an embodiment of this utility model.

[0035] Figure 2 This is a top view of the floor mat according to an embodiment of the present invention.

[0036] Figure 3 This is a side view of the swing amplitude monitoring component of this utility model being suspended on a horizontal bar.

[0037] Figure 4 This is a front view of the glove according to an embodiment of the present invention.

[0038] Figure 5 This is a front view of the elbow pad according to an embodiment of the present invention.

[0039] Figure 6 This is a side view of the elbow pad according to an embodiment of the present invention.

[0040] Figure 7This is a front view of the helmet according to an embodiment of the present invention.

[0041] Figure 8 This is an overall structural block diagram of an embodiment of the present utility model.

[0042] The components in the attached diagram are labeled as follows: 1. Horizontal bar; 2. Swing amplitude monitoring component; 3. Floor mat; 301. Stepping area; 302. Pressure sensor; 4. Gloves; 401. Anti-slip studs; 402. Wristband tightening; 403. Key detection points; 404. Grip force acquisition module; 405. Human body baseline acquisition module; 5. Elbow pad; 501. Raised boundary line; 502. Pressure sensing area; 503. Key detection lines; 504. Contact sensor; 6. Helmet; 601. 602. Adjustable strap; 603. Chin pad; 604. Laser sensing module; 7. Velcro strap; 8. Telescopic boom; 9. Horizontal bar; 905. End cap; 10. Reinforcing connecting rod; 11. Sliding kit; 12. Human infrared sensing module; 13. Assessment terminal; 14. Smart terminal; 15. Telescopic tripod; 16. Communication module; 17. Face recognition module; 18. Image recognition module; 19. Analysis module; 20. Speaker; 21. Display module; 22. Printing module. Detailed Implementation

[0043] The technical solutions of the present utility model will be clearly and completely described below with reference to the accompanying drawings of the embodiments. Obviously, the described embodiments are only a part of the embodiments of the present utility model, and not all of them. Unless otherwise specified, the embodiments and features in the embodiments of this application can be combined with each other. Based on the embodiments of the present utility model, all other embodiments obtained by those skilled in the art without creative effort are within the scope of protection of the present utility model.

[0044] It should be noted that if any directional indications such as up, down, left, right, front, back, etc., are involved in the embodiments of this utility model, these directional indications are only used to explain the relative positional relationships and movement of the components in a specific posture as shown in the attached drawings. If the specific posture changes, the directional indications will also change accordingly. Furthermore, the meaning of "and / or" throughout the text includes three parallel solutions. Taking "A and / or B" as an example, it includes solution A, solution B, or a solution where both A and B are satisfied simultaneously. Additionally, "multiple" refers to two or more.

[0045] See Figures 1-3 This utility model embodiment provides an intelligent pull-up training and assessment system, including a pull-up bar 1, and further comprising:

[0046] Swing amplitude monitoring component 2, which is detachably suspended on the single bar 1, includes a horizontal bar 9 and a human infrared sensing module 12. The horizontal bar 9 is horizontally suspended below the horizontal bar of the single bar 1 and is perpendicular to the horizontal bar. There are two human infrared sensing modules 12, which are slidably installed at both ends of the horizontal bar 9 respectively.

[0047] The floor mat 3 is placed in the center between the two vertical bars of the single bar 1. The floor mat 3 is provided with a stepping area 301, and a pressure sensor 302 is embedded in the stepping area 301.

[0048] Wearable sensing suit, which includes gloves 4, elbow pads 5 and helmet 6;

[0049] The assessment terminal 13 is movable and placed opposite the horizontal bar 1. It includes a smart terminal 14 centered on the horizontal bar 1 and a height-adjustable telescopic tripod 15. The smart terminal 14 is mounted on the telescopic tripod 15 and is wirelessly connected to the human infrared sensing module 12, the pressure sensor 302 and the wearable sensing clothing.

[0050] In this invention, by establishing multiple sensing devices among the swing amplitude monitoring component, the floor mat, the wearable sensing clothing, and the smart terminal, the system monitors whether the trainees' posture is correct, their force exertion is correct, and their physical fitness meets the standards when performing pull-ups on a horizontal bar, thereby improving the quality and effectiveness of the training and the accuracy of the evaluation.

[0051] See Figure 4 In this embodiment, the gloves 4 are two in number, with a front and a back. The front corresponds to the palm, and the back corresponds to the back of the hand. The front of the gloves 4 has anti-slip protrusions 401 densely distributed on the palm, and a gripping force acquisition module 404 is embedded in the palm of the gloves 4. The gripping force acquisition module 404 includes multiple pressure sensing points scattered on the palm and fingers, which are used to detect the changes in the force of the hand gripping the bar throughout the training process. With this design, the gripping force acquisition module 404 synchronously measures the force changes between the trainee and the bar based on the multiple pressure sensing points scattered on the fingers and palm from the moment the trainee puts on the bar to the moment the trainee puts off the bar, and uploads these force changes to the smart terminal 14. This can generate a gripping force distribution chart of the trainee performing pull-ups on the bar 1, thereby determining whether the trainee's upper limb force is balanced. At the same time, the anti-slip protrusions 401 increase the friction between the gloves 4 and the bar 1, preventing slippage when gripping the bar and reducing detection errors.

[0052] See Figure 4In this embodiment, the wrist of the glove 4 is provided with an elastic tightening wrist opening 402, which embeds a human baseline data acquisition module 405 for detecting changes in basic vital signs throughout the training process. This design allows the tightening wrist opening 402 to be elastic and suitable for most people's normal use. The human baseline data acquisition module 405 fits snugly against the wrist, detecting the trainee's basic vital sign data in real time, such as heart rate and blood pressure, and uploading this data to the smart terminal 14. This data can generate a distribution chart of the trainee's basic vital sign data during pull-ups on the horizontal bar 1, reflecting the trainee's current physical fitness indicators.

[0053] See Figure 4 and Figure 8 In this embodiment, a key detection point 403 is centrally located on the front of the glove 4 at the wrist. This key detection point 403 is detected and identified by the image recognition module 18 to detect whether the trainee is gripping the bar with a proper grip throughout the training process. With this design, after correctly wearing the gloves 4, the trainee stands still on the stepping area 301 of the mat 3 with both legs upright and palms facing outwards, sequentially assuming the postures of folded upper and lower arms and straight arms extended upwards. This allows the smart terminal 14 to input the trainee's folded upper and lower arms and straight arms extended upwards postures into the individual's assessment information file in the system database before training, comparing them with the actual postures during training to determine whether the upper limb postures are accurate. Simultaneously, the image recognition module 18 detects and identifies the key detection point 403 throughout the pull-up process to ensure that the trainee maintains a proper grip on the bar throughout the pull-up.

[0054] See Figure 5In this embodiment, the elbow pad 5 has two parts, with a front and a back. The front corresponds to the elbow crease and the back corresponds to the elbow joint. The front of the elbow pad 5 has a raised dividing line 501 along the width direction at the elbow crease. The front of the elbow pad 5 is divided by the raised dividing line 501 and has two pressure sensing areas 502 symmetrically arranged on the arm. The pressure sensing areas 502 are embedded with contact sensors 504, which are used to detect whether the upper and lower arms are folded and touching each other when the arm is pulled up on the bar and whether the direction of force is straight. With this design, trainees correctly wear the elbow pads 5 on both arms, aligning the raised dividing line 501 with the elbow crease. The two pressure-sensing areas 502 on the same elbow pad 5 correspond to the upper arm and forearm of that arm, respectively. Thus, when the trainee performs an upward pull, the two contact sensors 504 distributed on the upper arm and forearm will move closer together and press against each other, simultaneously monitoring the contact fit, such as fit time and fit force, and uploading the monitored analog signal to the smart terminal 14. The smart terminal 14 generates a digital signal, which, combined with the data monitored by the grip force acquisition module 404, is comprehensively analyzed to determine whether the trainee's upper limb strength is being used appropriately and evenly during pull-up training.

[0055] See Figure 5 and Figure 8 In this embodiment, a key detection line 503 is provided on the side of the elbow sleeve 5 between the front and back sides along the length direction. The key detection line 503 is detected and identified by the image recognition module 18 and is used to detect whether the arms are straight in the straight arm suspension state. With this design, after correctly wearing the elbow pads 5, trainees stand still on the stepping area 301 of the mat 3 with their legs together, palms facing outward, and alternately assume the postures of folded upper and lower arms and straight arms extended upward. This allows the smart terminal 14 to input the trainee's folded upper and lower arms and straight arms extended upward posture into the individual's assessment information file in the system database before training, so as to compare with the actual posture during training and thus determine whether the upper limb posture is accurate during training. At the same time, since the hands grip the bar with an overhand grip, slightly wider than shoulder-width, the sides of the arms always face the smart terminal 14 during the pull-up and pull-down process. Therefore, the image recognition module 18 can detect and identify the curvature of the key detection line 503 throughout the process after the trainee is on the bar, in order to analyze and determine whether the trainee keeps their arms straight during the pull-up process. Combined with the monitoring results of the key detection points 403, a comprehensive analysis is conducted to determine whether the trainee's upper limb movements are accurate and standard during pull-up training.

[0056] See Figure 7In this embodiment, the helmet 6 is connected to an adjustable strap 601, and a chin pad 602 is fixed on the adjustable strap 601. A laser sensing module 603 is embedded in the front of the chin pad 602. The laser sensing module 603 includes at least a switch, a laser emitter, and a counter. The switch is used to turn the laser emitter on or off, the laser emitter is used to continuously emit a laser light source, and the counter is used to count the number of times the chin passes the horizontal bar.

[0057] With this design, after the trainees wear the helmet 6 correctly, they can adjust the tightness of the adjustment strap 601 according to their head shape and face size to ensure that the helmet 6 will not fall off. At this time, the chin pad 602 is close to the trainee's chin, and the laser sensing module 603 is facing the horizontal bar 1.

[0058] Trainees stand on the mat 3 and, after completing personal information entry, turn on the switch (the switch type is not limited and can be a manual press switch, a manual toggle switch, a voice-activated switch, etc.). The laser emitter then turns on and continuously emits laser light. The trainee grips the bar with both arms extended and suspends their body. Each time they pull up or lower their chin, the laser emitted by the laser emitter is blocked by the bar. The photoresistor senses this and its potential decreases, triggering a counter to count. That is, each time the laser emitter is blocked, the counter counts once and uploads the count to the smart terminal 14. The smart terminal 14 combines the monitoring results from the grip force acquisition module 404, key detection points 403, key detection lines 503, and contact sensors 504 to comprehensively determine the effective number of times the laser sensing module 603 passes the bar. The effective number is divided by two to obtain the effective number of pull-ups.

[0059] See Figure 3 In this embodiment, the swing amplitude monitoring component 2 also includes Velcro straps 7, telescopic rods 8, reinforcing connecting rods 10, and sliding kits 11;

[0060] One end of the Velcro strap 7 is fixed to the top of the telescopic boom 8, and is used to wrap around and bind the crossbar, and to hang the telescopic boom 8 vertically below the crossbar;

[0061] The crossbar 9 is horizontally and centrally fixed at the bottom of the telescopic boom 8. The reinforcing connecting rod 10 is obliquely connected between the telescopic boom 8 and the crossbar 9. The three form a triangular structure. There are two reinforcing connecting rods 10, which are symmetrically distributed near the fixed positions of the telescopic boom 8 and the crossbar 9.

[0062] The sliding kit 11 has two parts, which are respectively slidably fitted on both ends of the crossbar 9. The human infrared sensing module 12 is embedded in the sliding kit 11, and both ends of the crossbar 9 are respectively detachably threaded with plugs 901 for blocking the sliding kit 11.

[0063] This design securely binds and suspends the swing amplitude monitoring component 2 on one side of the horizontal bar using the Velcro strap 7, with the swing amplitude monitoring component 2 close to the vertical bar to avoid affecting the trainees' normal training. After the sliding kit 11 is slidably fitted onto the horizontal bar 9, the plug 901 is then threaded tightly onto both ends of the horizontal bar 9 to prevent the sliding kit 11 from accidentally falling off and to protect the safety of the human infrared sensing module 12.

[0064] After the trainee mounts the bar, facing the swing amplitude monitoring component 2, the two human infrared sensing modules 12 located at both ends of the horizontal bar 9 emit human infrared sensing lines after the spacing is adjusted. One beam points in front of the trainee and the other points behind the trainee. This is used to detect the trainee's forward and backward swing amplitude throughout the training phase. If the trainee's body swings forward or backward and comes into contact with the human infrared sensing line, the human infrared sensing module 12 will immediately trigger the sensing and upload the sensing signal to the smart terminal 14. This can generate a chart showing whether the trainee's forward and backward swing amplitude during pull-ups on the horizontal bar 1 is below standard, thereby judging the stability of the trainee's core strength.

[0065] See Figure 1 and Figure 8 In this embodiment, the smart terminal 14 includes at least a face recognition module 17, an image recognition module 18, an analysis module 19, a speaker 20, a display module 21, and a printing module 22;

[0066] The face recognition module 17 is used to identify the facial information features of the current trainee and search and compare them in the system database. If the system database matches the established assessment information file of the current trainee, it is not necessary to establish the assessment information file again. If the system database does not match the established assessment information file of the current trainee, it is necessary to establish the assessment information file again.

[0067] The image recognition module 18 is used to identify key detection points 403 located on the front of the glove 4 and key detection lines 503 located on the back of the elbow pad 5.

[0068] The analysis module 19 is used to receive and process the detection signals of various indicators sent by the pressure sensor 302, grip force acquisition module 404, human body base acquisition module 405, contact sensor 504, laser sensing module 603, human infrared sensing module 12, face recognition module 17 and image recognition module 18, and determine the training data package of the current trainee. The training data package includes the monitoring data obtained by converting various monitoring signals, the deficiencies that have not met the standards and the corresponding solutions.

[0069] The speaker 20 is connected to the analysis module 19 and is used to receive and broadcast the training data packet of the current trainee sent by the analysis module 19;

[0070] The display module 21 is connected to the analysis module 19 and is used to receive and display the training data packet of the current trainee sent by the analysis module 19;

[0071] The printing module 22 is connected to the analysis module 19 and is used to receive and print the training data packet of the current trainee sent by the analysis module 19.

[0072] With this design, before training, all the equipment in this training system is moved to the position of the horizontal bar 1 on the training field to prepare. First, the assessment terminal 13 is moved to a certain distance opposite the horizontal bar 1. The height of the telescopic tripod 15 and the pitch angle of the smart terminal 14 on the telescopic tripod 15 are adjusted until the camera angle of the smart terminal 14 is directly facing the horizontal bar 1. Then, the swing amplitude monitoring component 2 is stably suspended at one end of the horizontal bar. Next, the floor mat 3 is placed at the bottom center of the horizontal bar 1. Then, all trainees are asked to line up in order and stand on one side of the horizontal bar 1 to wait, and put on the wearable sensing suit in turn. Finally, the smart terminal 14 is turned on.

[0073] During training, trainees stand on the stepping area 301 of the floor mat 3. Upon sensing the stepping pressure, the pressure sensor 302 immediately triggers the facial recognition module 17 to identify the facial features of the trainee and search the system database. If no matching assessment information file for the trainee is found, a new assessment information file needs to be created. If an existing assessment information file for the trainee is found, no new file needs to be created. After hearing the speaker 20 announce "The current candidate's assessment information file has been established" or a similar announcement indicating that the assessment information file has been successfully established, the personnel begin to input the folded upper and lower arms posture and the straight arm upward extension posture, and must keep both legs straight and feet still throughout the process. After hearing the speaker 20 announce "The current candidate's posture input is complete" or a similar announcement indicating that the posture has been successfully input, the personnel grip the bar with their hands slightly wider than their shoulders, straighten their arms, keep their legs together, and suspend their body below the bar for several seconds.

[0074] During the training phase, the examiner should adjust and activate the human infrared sensing module 12. The human infrared sensing module 12 emits two beams of human infrared sensing lines toward the front and back of the trainee, respectively, to monitor the front and back swing amplitude of the trainee's body throughout the training phase. The monitoring results are then uploaded to the analysis module 19 in real time to comprehensively analyze and judge the core strength stability of the trainee.

[0075] After suspending for a few seconds, the trainees begin to perform pull-ups. When pulling up, the upper and lower arms need to be folded, and the chin needs to pass upward through the horizontal bar. When lowering down, the upper and lower arms need to be straightened, and the chin needs to pass downward through the horizontal bar. During this process, the gripping force acquisition module 404, the human body base acquisition module 405, the contact sensor 504, and the laser sensing module 603 monitor the sensing signals in real time and upload them to the analysis module 19 according to the usage method in the above embodiment. The analysis module 19 comprehensively analyzes and judges the trainee's upper limb strength balance, various physical fitness indicators, and the number of effective movements. At the same time, the image recognition module 18 identifies the key detection points 403 and the key detection lines 503 throughout the process, and comprehensively analyzes and judges the standard of the trainee's upper limb movements.

[0076] After the trainees land, their feet touch the stepping area 301. The pressure sensor 302 senses the stepping pressure again and immediately triggers the face recognition module 17 to identify the facial features of the current trainee. The system database is searched and compared again. After successfully matching the assessment information file established for the current trainee, the speaker 20 is triggered to announce "The current candidate has completed the assessment" or a similar announcement indicating that the training has ended. After the examiner turns off the human infrared sensing module 12, the current trainee leaves the mat 3 and removes the gloves 4, elbow pads 5, and helmet 6 in sequence, handing the sensor-equipped clothing to the examiner or the next trainee.

[0077] The analysis module 19 uniformly receives monitoring signals sent from the swing amplitude monitoring component 2, the floor mat 3, and the wearable sensing suit. Through analysis and calculation by a preset algorithm program, and then through simulation and judgment, it finally obtains various indicator data obtained from the entire training monitoring process, the deficiencies that failed to meet the standards, and the corresponding solutions for each deficiency. This data is packaged into the training data package. The training data package is sent to the display module 21 for presentation, centrally displaying the training actions of all personnel in the training group. By setting the system to display the training data packages of multiple trainees at a time and simultaneously, it can be used for the intuitive presentation and summarization of problems during classroom teaching. It can also rely on this system to accurately point out the training problems, provide targeted improvement methods, and improve the students' enthusiasm and participation in the classroom. The training data package is also sent to the printing module 22 for printing, such as invoices, supermarket receipts, etc., and the specific printing method is not limited here.

[0078] See Figure 8 In this embodiment, a communication module 16 is also included. The communication module 16 uses wireless communication to upload the monitoring signals of the wearable sensing garment, the swing amplitude monitoring component 2, and the floor mat 3 to the smart terminal 14 in real time. This design, by using wireless signal transmission, frees the devices from the constraints of data cables, making the installation and disassembly of this training system more flexible and convenient, without affecting the normal use of the original horizontal bar 1 on the training ground.

[0079] It should be noted that those skilled in the art will understand that all or part of the steps implemented in the embodiments of this utility model can be implemented entirely or partially by software, hardware, firmware, or any combination thereof. When implemented in hardware, components such as pressure sensors, grip force acquisition modules, human body baseline acquisition modules, contact sensors, laser sensing modules, human infrared sensing modules, communication modules, face recognition modules, image recognition modules, analysis modules, display modules, and printing modules can be implemented entirely or partially in a form that is commercially available through purchase. When implemented in software, it can be implemented entirely or partially in the form of a computer program product. The computer program product includes one or more computer instructions. When the computer program instructions are loaded and executed on a computer, all or part of the processes or functions described in the embodiments of this application are generated. The computer can be a general-purpose computer, a special-purpose computer, a computer network, or other programmable systems. The computer instructions can be stored in a computer-readable storage medium or transmitted from one computer-readable storage medium to another. For example, the computer instructions can be transmitted from one website, computer, server, or data center to another via wired means such as coaxial cable, fiber optic cable, digital subscriber line (DSL), or wireless means such as infrared, wireless, or microwave. The computer-readable storage medium can be any available medium that a computer can access, or a data storage device such as a server or data center that integrates one or more available media. The available medium can be a magnetic medium, such as a floppy disk, hard disk, magnetic tape, optical medium such as a DVD, or a semiconductor medium such as a solid-state drive (SSD).

[0080] In summary, this invention, by establishing multiple sensing devices among the swing amplitude monitoring component, the floor mat, the wearable sensing suit, and the smart terminal, monitors whether trainees' posture is correct, their force application is proper, and their physical fitness meets the standards during pull-ups, thus improving the quality and efficiency of training and the accuracy of evaluation. Simultaneously, the equipment is lightweight and simple in structure, easy to transport, and uses wireless transmission to upload signals and data, eliminating the constraints of wires. This not only makes the installation and disassembly of the training system more flexible and convenient but also does not affect the normal use of the existing horizontal bar on the training ground. Furthermore, it can analyze and identify problems in the training process and provide solutions and suggestions, making the training results more intuitive and convenient, and allowing for more targeted improvements, ensuring that every trainee can fully master the essential techniques of pull-ups.

[0081] It should be understood that the examples and embodiments described herein are for illustrative purposes only and are not intended to limit the present invention. Those skilled in the art can make various modifications or changes based on them. Any modifications, equivalent substitutions, improvements, etc., made within the spirit and principles of the present invention should be included within the protection scope of the present invention.

Claims

1. An intelligent pull-up training and assessment system, comprising a pull-up bar (1), characterized in that, Also includes: A swing amplitude monitoring component (2) is detachably suspended on the single bar (1), including a horizontal bar (9) and a human infrared sensing module (12). The horizontal bar (9) is horizontally suspended below the horizontal bar of the single bar (1) and is perpendicular to the horizontal bar. There are two human infrared sensing modules (12), which are slidably installed at both ends of the horizontal bar (9). A floor mat (3) is placed in the center between the two vertical bars of the single bar (1). A stepping area (301) is provided on the floor mat (3), and a pressure sensor (302) is embedded in the stepping area (301). Wearing a sensory suit, the sensory suit including gloves (4), elbow pads (5) and a helmet (6); The assessment terminal (13) is movable and placed opposite the horizontal bar (1). It includes a smart terminal (14) centered on the horizontal bar (1) and a height-adjustable telescopic tripod (15). The smart terminal (14) is installed on the telescopic tripod (15) and is wirelessly connected to the human infrared sensing module (12), pressure sensor (302) and wearable sensing clothing.

2. The intelligent pull-up training and assessment system as described in claim 1, characterized in that, The glove (4) has two parts, with a front and a back. The front corresponds to the palm and the back corresponds to the back of the hand. The front of the glove (4) is covered with anti-slip ridges (401) on the palm. The palm of the glove (4) is embedded with a gripping force acquisition module (404). The gripping force acquisition module (404) includes multiple pressure sensing points scattered on the palm and fingers, which are used to detect the changes in the force of the hand gripping the bar throughout the training process.

3. The intelligent pull-up training and assessment system as described in claim 2, characterized in that, The glove (4) has an elastic wrist cuff (402) at the wrist, and the wrist cuff (402) is embedded with a human body data acquisition module (405) for detecting changes in basic human vital signs throughout the training process.

4. The intelligent pull-up training and assessment system as described in claim 2, characterized in that, The glove (4) has a key detection point (403) centered on the wrist on the front. The key detection point (403) is detected and identified by the image recognition module (18) and is used to detect whether the bar is gripped properly throughout the training process.

5. The intelligent pull-up training and assessment system as described in claim 1, characterized in that, The elbow pad (5) has two parts, with a front and a back. The front corresponds to the elbow crease and the back corresponds to the elbow joint. The front of the elbow pad (5) has a raised dividing line (501) along the width direction at the elbow crease. The front of the elbow pad (5) is divided by the raised dividing line (501) and has two pressure sensing areas (502) symmetrically arranged on the arm. The pressure sensing areas (502) are embedded with contact sensors (504), which are used to detect whether the upper and lower arms are folded and touching each other when the arm is pulled up on the bar and whether the force direction is straight.

6. The intelligent pull-up training and assessment system as described in claim 5, characterized in that, The elbow pad (5) has a key detection line (503) along its length on the side between the front and back sides. The key detection line (503) is detected and identified by the image recognition module (18) and is used to detect whether the arms are straight in the straight arm suspension state.

7. The intelligent pull-up training and assessment system as described in claim 1, characterized in that, The helmet (6) is connected to an adjustable strap (601), and a chin pad (602) is fixed on the adjustable strap (601). A laser sensing module (603) is embedded in the front of the chin pad (602). The laser sensing module (603) includes at least a switch, a laser emitter, and a counter. The switch is used to turn the laser emitter on or off. The laser emitter is used to continuously emit a laser light source. The counter is used to count the number of times the chin passes the horizontal bar.

8. The intelligent pull-up training and assessment system as described in claim 1, characterized in that, The swing amplitude monitoring component (2) also includes Velcro straps (7), telescopic boom (8), reinforcing connecting rod (10), and sliding kit (11); One end of the Velcro strap (7) is fixed to the top of the telescopic boom (8) for wrapping and binding around the crossbar and for vertically suspending the telescopic boom (8) below the crossbar. The crossbar (9) is horizontally fixed at the bottom of the telescopic rod (8) and the reinforcing connecting rod (10) is inclinedly connected between the telescopic rod (8) and the crossbar (9). The three form a triangular structure. There are two reinforcing connecting rods (10), which are symmetrically distributed near the fixed position of the telescopic rod (8) and the crossbar (9). The sliding kit (11) has two parts, which are respectively slidably mounted on both ends of the crossbar (9). The human infrared sensing module (12) is embedded in the sliding kit (11), and both ends of the crossbar (9) are respectively detachably threaded with plugs (901) for blocking the sliding kit (11).

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