A running training device

By using devices such as facial recognition cameras, wireless signal transmission modules, and monitoring wristbands, running movements and speed are monitored in real time, solving the problems of accuracy and scientific rigor in 3000-meter long-distance running training and improving the accuracy and standardization of training data.

CN224270083UActive Publication Date: 2026-05-26CHINESE PEOPLES LIBERATION ARMY ARMY ARTILLERY & AIR DEFENSE ACAD
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Patent Information

Authority / Receiving Office
CN · China
Patent Type
Utility models(China)
Current Assignee / Owner
CHINESE PEOPLES LIBERATION ARMY ARMY ARTILLERY & AIR DEFENSE ACAD
Filing Date
2025-04-03
Publication Date
2026-05-26

AI Technical Summary

Technical Problem

In current 3000-meter long-distance running training, manual monitoring is prone to errors, has low accuracy, is difficult to monitor speed and movements in real time, and poses a risk of cheating, making it difficult to guarantee the scientific and standardized nature of the training.

Method used

It employs a facial recognition camera, a wireless signal transmission module, a monitoring wristband, and a smart terminal, combined with an RFID timing chip and an analysis module, to monitor running movements and speed in real time, providing detailed data to guide training.

Benefits of technology

It enables real-time monitoring of running movements and speed, improves data accuracy, prevents cheating, and ensures the scientific and standardized nature of the training process.

✦ Generated by Eureka AI based on patent content.

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Abstract

This utility model discloses a running training device, belonging to the field of monitoring device technology. Its key technical features include a wireless signal transmission module and a finish line RFID identification module. The wireless signal transmission module is located at the starting point A, and the finish line RFID identification module is located at the finish line B. Multiple face recognition cameras are evenly distributed along the track. A monitoring wristband is detachably worn on the trainee's wrist. A smart terminal is movable and placed within the training area. This device establishes multiple sensing devices—face recognition cameras, monitoring wristband, and smart terminal—allowing for real-time monitoring of the trainee's running movements and speed during training. This provides detailed data, offering targeted adjustment guidance for subsequent training improvements and providing a scientifically standardized training process.
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Description

Technical Field

[0001] This utility model relates to the field of monitoring device technology, specifically to a running training device. Background Technology

[0002] The 3000-meter run is one of the basic physical fitness training assessment subjects in the military physical training syllabus. It is a very important physical fitness exercise that can test the trainee's cardiopulmonary function, endurance, and overall physical condition, and greatly improve various indicators.

[0003] The 3000-meter run is mainly conducted around the track, and the assessment is generally done manually by using a stopwatch and recording the number of laps. However, because this training process is long and time-consuming, manual assessment is prone to errors, and the accuracy of the monitoring is not high. It is also difficult to monitor the real-time speed during the run, and there is only a record of the running time, which is not enough to provide targeted guidance for future training. In addition, it is difficult for the examiner to monitor all trainees, which may lead to cheating. The scientific and standardized nature of the overall training cannot be effectively guaranteed.

[0004] In view of this, a design or technical improvement is proposed to address the above-mentioned problems.

[0005] The above content is only used to help understand the technical solution of this utility model and does not represent an admission that the above content is the closest prior art. Utility Model Content

[0006] The purpose of this invention is to address the aforementioned shortcomings and provide a running training device.

[0007] To solve the above-mentioned technical problems, the present invention adopts the following technical solution:

[0008] A running training device includes a face recognition camera, a wireless signal transmission module, a monitoring wristband, and a smart terminal;

[0009] The wireless signal transmitting module is set at starting point A and is used to issue a "ready" command during the personnel's start preparation phase and a "start" command when the personnel start running.

[0010] The face recognition camera has multiple units, which are evenly distributed along the side of the track. Each unit contains a motion capture module and a human infrared sensor module, which are used to capture the running motion and running speed of the trainee, respectively.

[0011] The monitoring wristband is detachable and can be worn on the trainee's wrist. It is wirelessly connected to the wireless signal transmission module and the endpoint RFID identification module. It contains a human body data acquisition module, an RFID timing chip, and an alarm module.

[0012] The smart terminal includes a starting terminal and a finishing terminal, which are respectively set at starting point A and finishing point B. The starting terminal pre-stores personnel assessment information and has a built-in facial recognition module.

[0013] The endpoint terminal includes an endpoint RFID identification module, a face recognition module, an analysis module, a display module that is signal-connected to the face recognition module and the analysis module, and a printing module.

[0014] The running training device is applied to a 3000-meter running system, which is set up with eight sets of points evenly distributed along the side of the track for placing face recognition cameras. Two sets of points serve as the starting point A and the finish line B, respectively.

[0015] Furthermore, the human body baseline acquisition module is used to detect basic vital signs data such as the trainee's heart rate and feed them back to the smart terminal in real time. The RFID timing chip is used to calculate the trainee's training time. The alarm module is signal-connected to the human body baseline acquisition module and issues an alarm when the human body baseline acquisition module collects data such as the trainee's heart rate being too fast.

[0016] Furthermore, the endpoint RFID identification module is wirelessly connected to the wireless signal transmission module to receive instruction signals from the wireless signal transmission module and to time the data. The face recognition module is used to record the trainee's identity information. The analysis module is used to receive detection signals and process them to form training data packets. The display module displays the current trainee's assessment information file and training data packets sent by both modules. The printing module is used to print the data packets.

[0017] Furthermore, the bottom of the face recognition camera is provided with a stabilizing mechanism for support. The stabilizing mechanism includes a support rod for supporting the entire device; an adjustment mechanism is provided between the face recognition camera and the support rod for adjusting the face recognition camera; three sets of receiving slots are evenly distributed on the support rod, and a threaded cylinder is rotatably provided in the receiving slot, and a support rod is threadedly connected to the threaded cylinder.

[0018] Furthermore, the adjustment mechanism includes a longitudinal angle adjustment component for adjusting the vertical viewing angle of the face recognition camera and a lateral angle adjustment component for adjusting the horizontal viewing angle of the face recognition camera.

[0019] Furthermore, the longitudinal angle adjustment assembly includes a movable chassis, a bearing bracket mounted on the movable chassis, a connecting arm plate hinged to the face recognition camera, and an adjusting bolt that is connected to the connecting arm plate and threadedly connected to the movable chassis; the two sides of the face recognition camera are rotatably connected to the bearing bracket via a movable shaft.

[0020] Furthermore, the lateral angle adjustment assembly includes a connecting rod disposed on the support rod, a supporting base disposed on the connecting rod, and a movable rod disposed on the lower side of the movable base and rotatably connected to the supporting base.

[0021] Furthermore, the movable rod is provided with a movable locking head at one end near the supporting chassis, and the connecting rod is provided with a locking groove that engages with the movable locking head.

[0022] Furthermore, the supporting chassis is provided with a limiting groove, and the connecting rod is connected to a bidirectional threaded screw with a bearing. The two sides of the bidirectional threaded screw are threaded with clamping plates that limit sliding within the connecting rod and are used to clamp the movable rod.

[0023] Compared with existing technologies, the beneficial effects of this solution are: by establishing multiple sensing devices such as a face recognition camera, a monitoring wristband, and a smart terminal, this device enables real-time monitoring of the trainee's running movements and speed while they are running, thereby obtaining detailed data to provide targeted adjustment guidance for subsequent training improvements and to provide a scientific and standardized training process.

[0024] The facial recognition camera in this device is easy to move and place, which facilitates the deployment of multiple monitoring points on the track during long-distance running assessments. This multi-point monitoring allows for independent monitoring of examinees across multiple segments, preventing cheating, improving the accuracy of monitoring data, and ensuring effective monitoring and tracking throughout the entire process. Attached Figure Description

[0025] The accompanying drawings, which form part of this application, are used to provide a further understanding of the present invention. The illustrative embodiments of the present invention and their descriptions are used to explain the present invention and do not constitute an undue limitation of the present invention. In the drawings:

[0026] Figure 1 This is a frontal perspective three-dimensional schematic diagram of the present invention;

[0027] Figure 2 This is a rear-view perspective view of the present invention;

[0028] Figure 3 This is a schematic diagram of the adjustment mechanism in this utility model;

[0029] Figure 4 This is a structural disassembly diagram of the lateral angle adjustment component in this utility model;

[0030] Figure 5 This is a schematic diagram of the movable chassis in this utility model;

[0031] Figure 6This is a schematic diagram showing the fit between the threaded cylinder and the support rod in this utility model;

[0032] Figure 7 This is a diagram showing the location layout of the face recognition camera in this utility model;

[0033] Figure 8 This is a block diagram of the overall structure of this utility model.

[0034] In the diagram: 1. Face recognition camera; 11. Motion capture module; 12. Human infrared sensor module; 2. Support rod; 21. Receiving slot; 22. Threaded cylinder; 23. Supporting leg; 3. Movable chassis; 31. Bearing bracket; 32. Connecting arm plate; 33. Adjusting bolt; 4. Connecting rod; 41. Supporting chassis; 42. Movable rod; 43. Movable clamp; 44. Clamping groove; 5. Limiting slide groove; 51. Bidirectional threaded screw; 52. Clamping plate; 6. Wireless signal transmission module; 61. Endpoint RFID identification module; 7. Monitoring wristband; 71. Human body data acquisition module; 72. RFID timing chip; 73. Alarm module; 8. Smart terminal; 81. Face recognition module; 82. Analysis module; 83. Display module; 84. Printing module. Detailed Implementation

[0035] The technical solutions of this utility model will be clearly and completely described below with reference to the embodiments of this utility model. Obviously, the described embodiments are only a part of the embodiments of this 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 this utility model, all other embodiments obtained by those skilled in the art without creative effort are within the scope of protection of this utility model.

[0036] like Figure 1-8The running training device shown includes a wireless signal transmitting module 6 and a finish line RFID identification module 61. The wireless signal transmitting module 6 is located at the starting point A and is used to issue "ready" and "start" commands. The finish line RFID identification module 61 is located at the finish line B and is wirelessly connected to the wireless signal transmitting module 6. It is used to receive the command signals issued by the wireless signal transmitting module 6 and to time the run. Multiple face recognition cameras 1 are evenly distributed along the side of the track and each camera contains a motion capture module 11 and a human infrared sensor module 12, used to capture the running motion and running speed of the trainee, respectively. A monitoring wristband 7 is detachably worn on the trainee's wrist and is wirelessly connected to the wireless signal transmitting module 6 and the finish line RFID identification module 61. The wristband contains a human baseline data acquisition module 71 for detecting the trainee's basic vital signs and an RFID timing module for calculating the trainee's training time. The chip 72 and the alarm module 73, which is connected to the human body data acquisition module 71, provide safety monitoring during training. The alarm module 73 mainly includes an alarm component, which can be a speaker alarm or a light alarm. When the trainee is running, his heart rate is monitored by the human body data acquisition module 71 in the monitoring bracelet 7. The alarm module 73 has a preset limit. When the heart rate reaches this limit, the alarm module 73 will issue an alarm through the alarm component. The smart terminal 8 can be moved and placed in the training field. It includes a face recognition module 81 for recording the trainee's identity information, an analysis module 82 for receiving detection signals and processing them to form training data packets, a display module 83 that is connected to the face recognition module 81 and the analysis module 82 and displays the current trainee's assessment information file and training data packets sent by the two, and a printing module 84 for printing data packets.

[0037] The device is used in a 3000-meter running system, which is set up with eight sets of points evenly distributed along the side of the track for placing face recognition cameras 1. Two sets of points serve as the starting point A and the finish line B, respectively.

[0038] This device establishes a location for a facial recognition camera 1 along the running track, thereby enabling real-time monitoring of the trainee's running speed and movements during running training. This provides the trainee with complete and detailed running data, allowing them to make targeted adjustments to their training based on the data, effectively improving the scientific and standardized nature of the training, and providing effective guidance for subsequent training.

[0039] After the overall layout of the track is completed, the trainee can trigger the wireless signal transmission module 6 at the starting point A. This module can be a foot-operated trigger switch or a hand-operated trigger switch. When the trainee triggers it, the wireless signal transmission module 6 transmits a signal to the finish line RFID identification module 61, which in turn triggers the RFID timing chip 72 and starts timing. At this time, the trainee starts running. When passing the face recognition camera 1, it will detect the trainee's running speed and movements and collect and feed back the data information to the smart terminal 8. When the trainee's heart rate is too fast, the human body base data collection module 71 in the monitoring wristband 7 will feed back the heart rate to the alarm module 73, which will issue an alarm to remind the trainee. After the run is completed, the trainee can go to the smart terminal 8 to print out the running results and various data indicators.

[0040] More specifically, the face recognition camera 1 is equipped with a stabilizing mechanism at its bottom, allowing for flexible adjustment and stability. The stabilizing mechanism includes a support rod 2 for supporting the entire device; an adjustment mechanism, located between the face recognition camera 1 and the support rod 2, for adjusting the face recognition camera 1; and three sets of receiving slots 21 evenly distributed on the support rod 2, within which a threaded cylinder 22 is rotatably mounted. A support rod 23 is threadedly connected to the threaded cylinder 22. Since long-distance running differs from other small-scale sports assessments, it requires monitoring equipment to be set up around the track. Because the track interior is an area of ​​frequent human activity, multiple fixed monitoring devices could easily cause collisions. Therefore, this device is designed with... The convenient mobility of the device allows for the deployment of multiple sets of monitoring points around the track during long-distance running training and assessment. This ensures that each section of the track has a device capable of accurately tracking runners within that section. During the deployment process, the threaded cylinder 22 is first rotated out of the receiving slot 21, and then the supporting leg 23 is rotated to adjust its relative length to the threaded cylinder 22. The supporting leg 23 is then used to provide auxiliary support for the support rod 2, stabilizing it at the deployment location. Next, the scanning angle of the face recognition camera 1 is adjusted through the adjustment mechanism to achieve the optimal angle for scanning the examinee's face. In this way, eight sets of devices are gradually deployed around the track to provide effective monitoring during the running process.

[0041] In one embodiment, the adjustment mechanism includes a longitudinal angle adjustment component for adjusting the vertical viewing angle of the face recognition camera 1 and a lateral angle adjustment component for adjusting the horizontal viewing angle of the face recognition camera 1. The longitudinal angle adjustment component includes a movable base 3, a bearing bracket 31 mounted on the movable base 3, a connecting arm plate 32 hinged to the face recognition camera 1, and an adjustment bolt 33 that is connected to the connecting arm plate 32 and threadedly connected to the movable base 3. The two sides of the face recognition camera 1 are rotatably connected to the bearing bracket 31 via movable shafts. The lateral angle adjustment component includes a connecting rod 4 mounted on the support rod 2, a supporting base 41 mounted on the connecting rod 4, and a movable rod 42 mounted on the lower side of the movable base 3 and rotatably connected to the supporting base 41. A movable locking head 43 is provided at one end of the movable rod 42 near the supporting base 41. A locking groove 44 is provided on the connecting rod 4 for movably engaging with the movable locking head 43. A limit position is also provided on the supporting base 41. The sliding groove 5 and the connecting rod 4 are connected to a bearing with a bidirectional threaded screw 51. The two sides of the bidirectional threaded screw 51 are threaded with clamping plates 52 that limit sliding within the connecting rod 4 and are used to clamp the movable rod 42. The device adjusts the viewing angle of the face recognition camera 1 by rotating the adjusting bolt 33, which moves up and down on the movable base 3. This, in turn, moves the rear end of the face recognition camera 1 up and down via the connecting arm plate 32, thereby changing the longitudinal viewing angle of the face recognition camera 1. The lateral viewing angle is adjusted by rotating the movable base 3, which makes the face recognition camera 1 rotate accordingly. When it is at a suitable angle, the bidirectional threaded screw 51 is rotated again, which makes the clamping plates 52 move relative to its upper end. This clamps the outer surface of the movable rod 42 at the lower end of the movable base 3, thereby restricting the movement of the movable rod 42 and ensuring the stability of the movable base 3 and the face recognition camera 1 at the upper end. This completes the scanning viewing angle adjustment of the face recognition camera 1.

[0042] It will be apparent to those skilled in the art that this invention is not limited to the details of the exemplary embodiments described above, and that it can be implemented in other specific forms without departing from the spirit or essential characteristics of this invention. Therefore, the embodiments should be considered exemplary and non-limiting in all respects, and the scope of this invention is defined by the appended claims rather than the foregoing description. Thus, it is intended that all variations falling within the meaning and scope of equivalents of the claims be included within this invention.

Claims

1. A running training device, characterized in that, It includes a face recognition camera (1), a wireless signal transmission module (6), a monitoring wristband (7), and a smart terminal (8); The wireless signal transmitting module (6) is set at the starting point A and is used to issue a "ready" command during the personnel's start preparation phase and a "start" command when the personnel start running. The face recognition camera (1) has multiple cameras, which are evenly distributed along the side of the track and have a motion capture module (11) and a human infrared sensor module (12) inside, which are used to capture the running motion and running speed of the trainee, respectively. The monitoring wristband (7) is detachable and can be worn on the wrist of the trainee and is wirelessly connected to the wireless signal transmitting module (6) and the endpoint RFID identification module (61). It contains a human body base acquisition module (71), an RFID timing chip (72) and an alarm module (73). The smart terminal (8) includes a starting terminal and a finishing terminal, which are respectively set at the starting point A and the finishing point B. The starting terminal stores personnel assessment information in advance and has a face recognition module (81) inside. The endpoint terminal includes an endpoint RFID identification module (61), a face recognition module (81), an analysis module (82), a display module (83) that is signal-connected to the face recognition module (81) and the analysis module (82), and a printing module (84).

2. The running training device according to claim 1, characterized in that, Applied to a 3000-meter running system, the 3000-meter running system is configured as follows: Eight sets of points are evenly distributed along the side of the track for placing face recognition cameras (1), with two sets of points serving as the starting point A and the finish line B, respectively.

3. The running training device according to claim 1 or 2, characterized in that: The human body baseline acquisition module (71) is used to detect the trainee's heart rate and other basic vital signs data, and feed them back to the smart terminal (8) in real time. The RFID timing chip (72) is used to calculate the trainee's training time. The alarm module (73) is connected to the human body baseline acquisition module (71) and issues an alarm when the human body baseline acquisition module (71) collects data such as the trainee's heart rate being too fast.

4. The running training device according to claim 3, characterized in that: The endpoint RFID identification module (61) is wirelessly connected to the wireless signal transmission module (6) and is used to receive the instruction signal sent by the wireless signal transmission module (6) and keep track of time. The face recognition module (81) is used to record the trainee's identity information. The analysis module (82) is used to receive the detection signal and process it to form a training data packet. The display module (83) displays the current trainee's assessment information file and training data packet sent by the two. The printing module (84) is used to print the data packet.

5. The running training device according to claim 4, characterized in that: The face recognition camera (1) is provided with a stabilizing mechanism at its bottom for support, the stabilizing mechanism including: Support rod (2) is used to support the entire device; An adjustment mechanism is set between the face recognition camera (1) and the support rod (2) for adjusting the face recognition camera (1). Three sets of receiving grooves (21) are evenly distributed on the support rod (2). A threaded cylinder (22) is rotatably arranged in the receiving groove (21). A support rod (23) is threadedly connected to the threaded cylinder (22).

6. The running training device according to claim 5, characterized in that: The adjustment mechanism includes a longitudinal angle adjustment component for adjusting the vertical viewing angle of the face recognition camera (1) and a lateral angle adjustment component for adjusting the horizontal viewing angle of the face recognition camera (1).

7. The running training device according to claim 6, characterized in that: The longitudinal angle adjustment assembly includes a movable chassis (3), a bearing bracket (31) mounted on the movable chassis (3), a connecting arm plate (32) hinged to the face recognition camera (1), and an adjusting bolt (33) bearing connected to the connecting arm plate (32) and threadedly connected to the movable chassis (3). The face recognition camera (1) is rotatably connected to the bearing bracket (31) on both sides via a movable shaft.

8. The running training device according to claim 7, characterized in that: The lateral angle adjustment assembly includes a connecting rod (4) mounted on the support rod (2), a supporting base (41) mounted on the connecting rod (4), and a movable rod (42) mounted on the lower side of the movable base (3) and rotatably connected to the supporting base (41).

9. The running training device according to claim 8, characterized in that: The movable rod (42) is provided with a movable locking head (43) at one end near the supporting chassis (41), and the connecting rod (4) is provided with a locking groove (44) that engages with the movable locking head (43).

10. The running training device according to claim 8, characterized in that: The supporting chassis (41) is also provided with a limiting groove (5), and a two-way threaded screw (51) is connected to the connecting rod (4) by a bearing. The two-way threaded screw (51) is threaded on both sides with clamping plates (52) that limit sliding within the connecting rod (4) and are used to clamp the movable rod (42).