An intelligent monitoring of crunch training mat

Abstract

The application discloses a kind of intelligent monitoring prone crunch training pad, belong to training pad technical field, including pad body, signal acquisition layer, signal processing module, prompt module and counting module, the signal acquisition layer is set to pad body inside, using capacitive touch sensing technology real-time acquisition testee's sliding position signal on pad surface with both hands;The prompt module emits tactile, visual or audible prompt signal when detecting both hands reach preset standard test point position;The counting module automatically records the number of completed standard actions.The application can realize real-time monitoring and active guidance to the position of both hands during prone crunch training process, change "passive judgment" to "active guidance", effectively regulate test action trajectory, significantly reduce artificial counting error and tediousness, while reducing the risk of sports injury caused by non-standard action.

Description

Technical Field

[0001] This invention belongs to the field of training mat technology, and in particular to an intelligent monitoring supine crunch training mat. Background Technology

[0002] Traditional supine crunch tests primarily rely on a combination of manual observation and the subject's self-perception. The determination of test results and the supervision of proper form are assessed by judges through visual inspection.

[0003] However, the aforementioned traditional testing methods have gradually revealed deep-seated technical contradictions and inherent defects in practice. Because the human body, while supine, cannot accurately perceive the sliding position of the hands on the mat through proprioception, test subjects often cannot accurately determine whether their hands have reached the prescribed standard testing point. When the hands fail to reach the testing point, the subject unconsciously reduces the angle of the abdominal crunch in an attempt to touch the target position, leading to distorted test movements and weakened abdominal muscle stimulation. Furthermore, when the hands exceed the testing point or even move to the head position, it easily triggers compensatory force from the neck muscles, resulting in an improper posture of hands clasped behind the head. Such improper movements not only significantly reduce the accuracy and comparability of test results but also cause non-physiological load accumulation on the cervical vertebrae and lumbar intervertebral discs during repeated training, significantly increasing the probability of sports injuries in the long run. More importantly, existing technical solutions rely entirely on the manual visual inspection of external referees to correct movement deviations. In large-scale centralized testing scenarios, referees find it difficult to continuously and accurately supervise and provide real-time feedback on the movement details of each subject, thus putting the management of movement standardization issues in a passive position.

[0004] In summary, how to achieve real-time monitoring and accurate feedback of the position of the subject's hands during the supine crunch test, and help the test subject to autonomously and accurately perceive the standard movement nodes, thereby fundamentally avoiding various secondary problems caused by non-standard movements, has become a key technical challenge and a practical problem that urgently needs to be solved by those skilled in the art. Summary of the Invention

[0005] The purpose of this invention is to provide an intelligent monitoring mat for supine crunch training to solve the problems mentioned in the background art.

[0006] To achieve the above objectives, the present invention provides the following technical solution: an intelligent monitoring mat for supine crunch training, comprising: The pad is a rectangular flexible pad structure, with its length arranged along the body axis of the subject when lying supine. A signal acquisition layer is disposed inside the pad body and includes multiple sensing units arranged along the length direction of the pad body, with each sensing unit being equally spaced. A signal processing module is disposed at one end of the pad and is electrically connected to the signal acquisition layer; The prompting module, electrically connected to the signal processing module, is used to issue a prompting signal when the subject slides both hands to the preset standard test point position; The counting module, connected to the signal processing module, is used to count after the subject completes a standard action.

[0007] Preferably, the pad includes an upper covering layer, an intermediate support layer and a lower liner layer. The upper covering layer is made of a wear-resistant and waterproof fabric material, which is polyester fiber fabric with a thickness of 0.5 mm to 1.5 mm. The intermediate support layer is made of flexible foam material, specifically polyurethane foam material, with a density of 25 kg / m³ to 40 kg / m³. The lower liner layer is made of anti-slip material, which is a thermoplastic elastomer material; The length of the pad ranges from 180 cm to 220 cm, the width ranges from 80 cm to 100 cm, and the thickness ranges from 2 cm to 4 cm.

[0008] Preferably, the signal acquisition layer is disposed between the upper cover layer and the intermediate support layer; The sensing unit uses capacitive touch sensing technology. When the subject's hands come into contact with the mat surface, the sensing unit generates a change in electrical signal. The sensing units are distributed at equal intervals, with the intervals ranging from 2 cm to 5 cm. The signal acquisition layer also includes a signal amplification circuit and an analog-to-digital conversion circuit, which are used to amplify the analog signal generated by the sensing unit and convert it into a digital signal. The sensitivity of the signal acquisition layer can be adaptively adjusted according to the subject's weight range, with the adjustment range being a force threshold of 0.5 N to 5 N.

[0009] Preferably, the signal processing module includes a central processing unit, a storage unit, and a communication interface; The central processing unit uses a 32-bit ARM Cortex-M series core processor with a clock speed of 72 MHz; The storage unit includes flash memory and random access memory, with the flash memory having a capacity of 64 kilobytes and the random access memory having a capacity of 16 kilobytes. The communication interface includes a universal serial bus interface and a Bluetooth wireless communication module. The Bluetooth communication module conforms to Bluetooth 4.0 and above specifications, and the transmission distance ranges from 5 meters to 10 meters.

[0010] Preferably, the prompting module includes a tactile prompting unit, a visual prompting unit, and an auditory prompting unit; The tactile feedback unit is located inside the pad corresponding to the standard test point position, and is implemented by a micro vibration motor array, with 4 to 8 vibration motors and a vibration frequency of 150 Hz to 250 Hz. The visual prompting unit uses an array of light-emitting diode indicator lights, which is located in the display area on the side of the pad. The auditory prompting unit uses a piezoelectric buzzer with a prompting frequency of 2000 Hz to 4000 Hz.

[0011] Preferably, the counting module includes a counter circuit and a display circuit, with a counting range of 0 to 999 and a display digit count of 3. The counting module also includes a reset button and a setting button, used to manually reset the count value and set the target count. It also includes a calibration module, including a calibration button and a calibration indicator, for calibrating the standard test point positions when using it for the first time or changing the usage scenario.

[0012] Preferably, it also includes a power management module, which uses a rechargeable lithium battery with a capacity of 1000 mAh to 2000 mAh, and the charging interface uses a universal serial bus Type-C interface; The power management module also includes a power detection circuit and a low power indicator light. When the battery power is below 20%, the low power indicator light will turn red to provide a warning. The power management module's automatic shutdown function automatically cuts off the power output after 30 minutes of inactivity. It also includes a posture monitoring module, which includes an accelerometer and a gyroscope sensor, to monitor the subject's body posture during the test; The signal processing module calculates the subject's torso lifting angle based on the data fusion of the accelerometer and gyroscope sensors. When the torso lifting angle exceeds a preset threshold range, the prompting module issues an abnormal posture warning signal.

[0013] Preferably, the accelerometer is a triaxial MEMS accelerometer with a range of ±16 grams and a sampling rate of 100 Hz; The gyroscope sensor is a three-axis MEMS gyroscope with a range of ±2000 degrees per second and a sampling rate of 100 Hz. It also includes a visual identification system, which is set on the surface of the pad, including a starting position marking line, a target position marking line, and a movement direction marking arrow; The starting position marking line is set in the head area of ​​the pad body and marked with a high-contrast color. The target position marking line is set on the pad surface corresponding to the vertical line of both knees.

[0014] Preferably, the signal processing module has two built-in testing modes: a fitness training mode and a physical fitness testing mode. In the fitness training mode, the prompting module provides a prompt when both hands reach the target position, and the counting module records the number of times the test is completed, without limiting the test time. In the physical fitness test mode, the prompting module issues a prompt when the hands reach the target position and starts the timing function at the same time, and the counting module records the number of standard movements completed within one minute. The pad body adopts a foldable design, and its volume is reduced to less than one-third of the original volume after folding; The weight of the pad is controlled between 2 kg and 3.5 kg; It also includes a wireless remote control, which uses 2.4 GHz frequency band radio frequency remote control technology and has a remote control distance of 3 to 10 meters; The wireless remote control includes a start button, a pause button, a reset button, and a mode switch button.

[0015] Preferably, the signal processing module adopts a low-power design strategy, and the central processing unit enters sleep mode when there is no test task. The signal acquisition layer adopts an intermittent sampling strategy, switching to continuous sampling mode only when a contact signal is detected; It also includes anti-interference design, which includes electromagnetic shielding and signal filtering; The electromagnetic shielding uses a metal thin film layer placed between the signal acquisition layer and the external environment, with a shielding effectiveness greater than 40 dB. The signal filtering uses a digital filtering algorithm to smooth the acquired signal.

[0016] Compared with the prior art, the technical effects and advantages of the present invention are as follows: This intelligent monitoring supine crunch training mat uses a signal acquisition layer inside the mat to collect real-time signals of the subject's hand sliding position on the mat surface. These signals are then transmitted to a signal processing module for processing and analysis. When the hands reach a preset standard test point, a prompting module immediately issues tactile, visual, or auditory cues, providing clear feedback on the correct movement and helping the subject to autonomously and accurately perceive the standard movement points. Simultaneously, a counting module automatically records the number of times the subject completes the standard movement, reducing errors and tediousness associated with manual counting.

[0017] By integrating touch-sensing technology and a real-time prompting module into the flexible training mat structure, this invention enables real-time monitoring and active guidance of hand positions during the supine crunch test. Compared to existing technologies, this invention transforms "passive judgment" into "active guidance," fundamentally solving the technical problem of difficulty in self-perception of proper movement standards, effectively standardizing the test movement trajectory, and significantly reducing the risk of cervical and lumbar spine injuries caused by improper movements. Attached Figure Description

[0018] To more clearly illustrate the specific embodiments of the present invention or the technical solutions in the prior art, the drawings used in the description of the specific embodiments or the prior art will be briefly introduced below. Obviously, the drawings described below are some embodiments of the present invention. For those skilled in the art, other drawings can be obtained from these drawings without creative effort.

[0019] Figure 1 This is a schematic diagram of the overall structure of the present invention; Figure 2 This is a schematic diagram of the signal acquisition layer structure of the present invention; Figure 3 This is a system block diagram of the signal processing module of the present invention; Figure 4 This is a schematic diagram of the prompting module of the present invention; Figure 5 This is a schematic diagram of the method of using the present invention; Figure 6 This is a schematic diagram of the structure of the present invention in its unfolded and usable state.

[0020] The attached figures are labeled as follows: 1. Pad; 2. Signal Acquisition Layer; 3. Signal Processing Module; 4. Prompt Module; 5. Counting Module; 6. Calibration Module; 7. Power Management Module; 8. Wireless Communication Module; 9. Attitude Monitoring Module; 10. Visual Marking System; 11. Display Area; 12. Wireless Remote Control; 13. Upper Covering Layer; 14. Middle Support Layer; 15. Lower Base Layer; 16. Sensing Unit; 17. Signal Amplification Circuit; 18. Analog-to-Digital Conversion Circuit; 19. Central Processing Unit; 20. Storage Unit. Detailed Implementation

[0021] In the following description, numerous specific details are set forth in order to provide a more thorough understanding of the invention. However, it will be apparent to those skilled in the art that the invention can be practiced without one or more of these details. In other instances, certain technical features well-known in the art have not been described in order to avoid obscuring the invention.

[0022] Unless otherwise defined, the directions mentioned herein, such as up, down, left, right, front, back, inside, and outside, are based on the directions shown in the figures of this invention, and are explained here together.

[0023] This embodiment provides, for example Figures 1 to 6 The overall structure of the intelligent monitoring supine crunch training mat shown includes core components such as the mat body 1, signal acquisition layer 2, signal processing module 3, prompting module 4, counting module 5, calibration module 6, power management module 7, wireless communication module 8, posture monitoring module 9, and visual identification system 10. These components work together to achieve comprehensive monitoring, guidance, and recording of the supine crunch training process.

[0024] In this embodiment, the mat 1 serves as the basic carrier of the entire device, providing an installation base and support structure for other functional modules. The mat 1 adopts a rectangular flexible mat structure, with its length arranged along the body axis of the subject when supine, and its width perpendicular to the subject's torso. The specific dimensions of the mat 1 are: length ranging from 180 cm to 220 cm, preferably 200 cm; width ranging from 80 cm to 100 cm, preferably 90 cm; and thickness ranging from 2 cm to 4 cm, preferably 3 cm. This dimensional design fully considers the objective needs of an adult's body length from head to toe and shoulder width when supine, ensuring that the subject can naturally stretch and perform abdominal crunches on the mat 1, while maintaining sufficient space on both sides of the mat 1 to prevent the subject's limbs from extending beyond the mat's boundaries during movement.

[0025] In this embodiment, the pad 1 is composed of a three-layer composite structure: an upper covering layer 13, a middle support layer 14, and a lower lining layer 15. The upper covering layer 13 is made of a wear-resistant and waterproof fabric, specifically polyester fiber fabric. This fabric has undergone flame-retardant and antibacterial treatment, and has good wear resistance, water resistance, and hygiene properties. The surface of the polyester fiber fabric is treated with an anti-fouling coating, making it easy to clean and maintain. The thickness of the upper covering layer 13 is 0.5 mm to 1.5 mm, preferably 1.0 mm, and its surface is provided with test area marking lines and starting position marking areas to visually guide the subject's movement trajectory and starting position.

[0026] In this embodiment, the intermediate support layer 14 is made of flexible foam material, specifically polyurethane foam material, with a density of 25 kg / m³ to 40 kg / m³, preferably 30 kg / m³. Polyurethane foam material within this density range has good elasticity and support, providing a comfortable cushioning effect when the subject is supine, while providing sufficient rebound force when the subject sits up or performs crunches. The thickness of the intermediate support layer 14 is 1.5 cm to 3 cm, preferably 2 cm, which ensures that the pad maintains sufficient structural strength while providing comfort.

[0027] In this embodiment, the lower liner 15 is made of thermoplastic elastomer material, which has good anti-slip and wear-resistant properties, and can form a stable friction interface between the mat and the ground, preventing the mat from shifting or sliding during testing. The thickness of the lower liner 15 is 0.5 mm to 1.5 mm, preferably 1.0 mm. The three-layer structure is bonded together into a whole by a hot-pressing bonding process, forming a mat 1 with uniform thickness and stable structure.

[0028] In this embodiment, the signal acquisition layer 2 is disposed inside the pad 1, specifically between the upper cover layer 13 and the intermediate support layer 14. The signal acquisition layer 2 includes multiple sensing units 16 arranged along the length of the pad, with each sensing unit 16 evenly spaced, ranging from 2 cm to 5 cm, preferably 3 cm. The number of sensing units 16 is determined based on the length of the pad and the spacing; approximately 60 to 70 sensing units 16 are disposed on a 200 cm long pad. The sensing units 16 employ capacitive touch sensing technology. Their working principle is as follows: when the subject's hands come into contact with the pad surface, the weak electric field generated by the human body causes a change in the capacitance value of the sensing unit 16. This change in capacitance is amplified by the signal amplification circuit 17 and converted into a digital signal by the analog-to-digital converter circuit 18 for further processing by the signal processing module 3.

[0029] In this embodiment, the application of capacitive touch sensing technology enables the signal acquisition layer 2 to detect human contact status non-contactly, eliminating the need for any mechanical buttons or pressure sensors on the surface of the sensing unit 16, thus ensuring the flatness of the pad surface and user comfort. The sensing sensitivity of the sensing unit 16 can be adaptively adjusted according to the subject's weight range, typically within a force threshold of 0.5 N to 5 N. In practical applications, lighter subjects may generate less contact pressure, thus requiring a lower sensing sensitivity setting; while heavier subjects may generate greater contact pressure, thus requiring a higher sensing sensitivity setting. This adaptive adjustment function is automatically completed through the calibration program in the signal processing module 3.

[0030] In this embodiment, the signal acquisition layer 2 is set corresponding to the trajectory area where the subject's hands slide along the mat surface. The width of this trajectory area is approximately equal to the subject's shoulder width, typically ranging from 35 cm to 50 cm, preferably 40 cm. The length of the trajectory area extends from the starting position to the mat surface position corresponding to the vertical line between the knees. The starting position is the mat surface position where the subject's hands are naturally placed on either side of their head, and the vertical line position is the mat surface position corresponding to the vertical line directly above the knees when the subject is supine with knees bent. When the subject performs a supine crunch, their hands slide upwards along the mat surface from the starting position to the vertical line position between the knees, and then return to the starting position, completing one standard movement.

[0031] In this embodiment, the signal acquisition layer 2 further includes a signal amplification circuit 17 and an analog-to-digital converter circuit 18. The signal amplification circuit 17 uses a low-noise operational amplifier chip to amplify the weak analog electrical signal generated by the sensing unit 16, with an amplification factor ranging from 10 to 100 times, preferably 50 times. The analog-to-digital converter circuit 18 uses a 12-bit resolution analog-to-digital converter with a sampling rate of 1000 Hz to 10000 Hz, preferably 5000 Hz. The analog-to-digital converter circuit 18 converts the amplified analog signal into a digital signal and transmits it to the signal processing module 3 via a flexible circuit board.

[0032] In this embodiment, the signal acquisition layer 2 adopts a modular design, with each sensing unit 16 connected in series via a flexible circuit board. The flexible circuit board uses a polyimide substrate, with a copper foil thickness of 35 micrometers and a line width of 0.2 mm to 0.5 mm, preferably 0.35 mm. The sensing units 16 are connected to the flexible circuit board by soldering, and the solder joints are surface-mounted using lead-free solder paste to ensure environmental friendliness and reliability. The total thickness of the signal acquisition layer 2 is controlled within 0.5 mm to ensure that the overall flexibility and user comfort of the pad are not affected.

[0033] In this embodiment, the signal processing module 3 is located at one end of the pad 1, specifically on the side of the head of the pad 1, and adopts an embedded microprocessor architecture. The signal processing module 3 includes a central processing unit 19, a storage unit 20, and a communication interface. The central processing unit 19 uses a 32-bit ARM Cortex-M series core processor with a clock frequency of 72 MHz, capable of quickly processing real-time position signals from the signal acquisition layer 2 and performing logical judgments. The ARM Cortex-M series processor features low power consumption and high performance, making it suitable for embedded real-time applications.

[0034] In this embodiment, the storage unit 20 includes flash memory and random access memory. The flash memory has a capacity of 64 kilobytes and is used to store program code, calibration parameters, and historical test data; the random access memory has a capacity of 16 kilobytes and is used to store temporary data and variables during program execution. The storage unit 20 uses non-volatile memory technology, ensuring that data is not lost after power failure and guaranteeing the safe storage of calibration parameters and historical test data.

[0035] In this embodiment, the communication interface includes a Universal Serial Bus (USB) interface and a Bluetooth wireless communication module. The USB interface is used for firmware upgrades and wired data transmission. The Bluetooth wireless communication module conforms to Bluetooth 4.0 and above specifications, with a transmission distance range of 5 to 10 meters, preferably 8 meters. The Bluetooth wireless communication module employs Bluetooth Low Energy (BLE) technology, with a broadcast interval of 100 to 500 milliseconds and a transmission power of 0 to 4 dBmW, preferably 2 dBmW. This low-power design strategy effectively extends the device's battery life.

[0036] In this embodiment, the signal processing module 3 is electrically connected to the signal acquisition layer 2, receiving digital signals from the signal acquisition layer 2 and performing position calculation and judgment processing. The signal processing module 3 calculates the real-time position of the subject's hands on the mat by analyzing the triggering sequence and triggering time of each sensing unit 16. When the position of the hands reaches the preset standard test point, the signal processing module 3 sends a trigger command to the prompting module 4 and a counting signal to the counting module 5.

[0037] In this embodiment, the prompting module 4 is electrically connected to the signal processing module 3 and is used to issue a prompting signal when the subject's hands slide to the preset standard test point position. The preset standard test point position is the position on the mat corresponding to the vertical line between the knees, and this position is preset through a calibration program and stored in the storage unit 20. The prompting module 4 includes three types: tactile prompting unit, visual prompting unit, and auditory prompting unit, and one or more of these prompting methods can be selected and combined as needed.

[0038] In this embodiment, the tactile feedback unit is located inside the pad 1 corresponding to the standard test point position and is implemented using a micro vibration motor array. The number of vibration motors is 4 to 8, preferably 6, the vibration frequency is 150 Hz to 250 Hz, preferably 200 Hz, and the vibration duration is 200 milliseconds to 500 milliseconds, preferably 300 milliseconds. When the subject's hands reach the standard test point position, the vibration motor array generates a weak but clear tactile vibration, which is transmitted to the subject's body through the pad surface, allowing the subject to perceive the action's completion signal even in environments with limited vision or hearing.

[0039] In this embodiment, the visual cue unit uses an array of light-emitting diode (LED) indicator lights, located in the display area 11 on one side of the pad 1. The LEDs are green, with a brightness of 20 to 50 millicandelas, preferably 35 millicandelas. The display area 11 is located on the head side of the pad 1 and is protected by a transparent plastic window for easy observation by the subject during exercise. When both hands reach the standard test point, the LED indicator lights illuminate, providing the subject with intuitive visual feedback.

[0040] In this embodiment, the auditory prompting unit uses a piezoelectric buzzer, which is located near the signal processing module 3. The prompting frequency is 2000 Hz to 4000 Hz, preferably 3000 Hz, and the duration is 200 milliseconds to 500 milliseconds, preferably 350 milliseconds. The piezoelectric buzzer is characterized by its small size, low power consumption, and clear sound, making it suitable for application in smart pad devices.

[0041] In this embodiment, the counting module 5 is connected to the signal processing module 3 and is used to count after the subject completes a standard action. The criteria for determining the standard action are: the subject's hands slide along the mat from the starting position to the preset standard test point position, and then return to the starting position. The counting module 5 includes a counter circuit and a display circuit. The counter circuit uses a programmable counter chip with a counting range of 0 to 999, and the display circuit uses a seven-segment display or an LCD screen with a display digit of 3.

[0042] In this embodiment, the counting module 5 also includes a reset button and a setting button, used to manually reset the count value and set the target number of counts. The reset button is a touch-sensitive button located on the side of the pad 1, allowing the subject to easily reset the counter before the test begins. The setting button is used to set the target number of counts; when the count value reaches the target number, the system automatically sends a test completion signal. The counting module 5 synchronously transmits the counting results to an external display device or mobile terminal application via a communication interface, achieving real-time data synchronization and recording.

[0043] In this embodiment, the calibration module 6 is used to calibrate the standard test point positions upon first use or when changing the usage scenario. The calibration module 6 includes a calibration button and a calibration indicator light. The specific steps of the calibration operation are as follows: The subject lies supine on the mat 1, places their hands on the vertical line between their knees, and presses the calibration button. At this time, the signal processing module 3 records the signal characteristic values ​​of each sensing unit 16 and stores them as standard test point position parameters. After calibration is complete, the calibration indicator light illuminates green, indicating successful calibration.

[0044] In this embodiment, the calibration function addresses the issue of individual differences among subjects. Because everyone's arm length, flexibility, and range of motion vary, a uniform preset standard test point location may not be suitable for all subjects. Through calibration, each subject can set a personalized standard test point location based on their own physical condition, ensuring the scientific rigor and accuracy of the testing and training.

[0045] In this embodiment, the power management module 7 provides a stable operating voltage for each electronic module. The power management module 7 uses a rechargeable lithium battery with a capacity of 1000 mAh to 2000 mAh, preferably 1500 mAh. The charging interface uses a Universal Serial Bus Type-C interface, supporting reversible insertion for ease of use. The power management module 7 also includes a power detection circuit and a low-power indicator light. When the battery level is below 20%, the low-power indicator light illuminates red to provide a warning. The power management module 7's automatic shutdown function automatically cuts off power output after 30 minutes of inactivity, effectively saving power consumption.

[0046] In this embodiment, the wireless communication module 8 is used for data interaction with external smart terminal devices. The wireless communication module 8 employs Bluetooth Low Energy technology and is the same module as the Bluetooth wireless communication module in the signal processing module 3. The wireless communication module 8 transmits data via low-power broadcasts with intervals of 100 to 500 milliseconds, with a transmission power of 0 to 4 dBmW. Through the wireless communication module 8, this invention can send real-time location signals, counting data, and battery power information to a companion mobile application, and receive target setting parameters and calibration instructions from the mobile application.

[0047] In this embodiment, the posture monitoring module 9 is used to monitor the subject's body posture during the test. The posture monitoring module 9 includes an accelerometer and a gyroscope. The accelerometer is a three-axis MEMS accelerometer with a range of ±16 grams and a sampling rate of 100 Hz. The gyroscope is a three-axis MEMS gyroscope with a range of ±2000 degrees per second and a sampling rate of 100 Hz.

[0048] In this embodiment, the accelerometer and gyroscope sensors of the attitude monitoring module 9 are integrated into a control box near the signal processing module 3, and the control box is fixed to the side of the pad 1. The signal processing module 3 calculates the subject's torso lift angle based on the data fusion of the accelerometer and gyroscope sensors. The data fusion algorithm uses a simple complementary filtering method, using accelerometer data to calculate the static angle and gyroscope data to calculate the dynamic angle, obtaining an accurate torso lift angle through weighted fusion. When the torso lift angle exceeds a preset threshold range, an abnormal posture warning signal is issued through the prompting module 4.

[0049] In this embodiment, the preset threshold range is set based on the technical requirements of the standard supine crunch exercise. The standard supine crunch exercise requires the subject to raise their torso by an angle of 30 to 45 degrees. Below 30 degrees, the range of motion is insufficient, and above 45 degrees, it can easily put excessive pressure on the lumbar spine. When the posture monitoring module 9 detects that the torso raising angle is below 25 degrees or above 50 degrees, it is determined to be an abnormal posture, and a warning signal is issued through the prompting module 4 to remind the subject to adjust the range of motion.

[0050] In this embodiment, a visual identification system 10 is disposed on the surface of the mat 1 to provide intuitive movement guidance for the subject. The visual identification system 10 includes a starting position marker line, a target position marker line, and movement direction marker arrows. The starting position marker line is located in the head area of ​​the mat 1 and is marked with a high-contrast color, specifically red or orange, to create a sharp contrast with the mat's base color. The target position marker line is located on the mat surface corresponding to the vertical line between the knees and is marked with a different color than the starting position marker line, specifically yellow or green. The movement direction marker arrows are laser-printed or thermally transferred onto the surface of the mat 1 to indicate the direction of the hand sliding.

[0051] In this embodiment, the color selection and pattern design of the visual identification system 10 fully consider visibility and durability. The marking lines use high-contrast colors to ensure clear visibility under various lighting conditions. Laser printing and thermal transfer methods ensure a firm bond between the marking pattern and the mat surface, preventing wear or detachment.

[0052] In this embodiment, the signal processing module 3 incorporates multiple testing modes, including a fitness training mode and a physical fitness testing mode. In fitness training mode, the prompting module 4 provides a prompt when both hands reach the target position, and the counting module 5 records the number of repetitions. There is no time limit for the test. This mode is suitable for daily fitness training scenarios, allowing subjects to set target repetitions based on their own circumstances for continuous training.

[0053] In this embodiment, during the physical fitness test mode, the prompting module 4 issues a prompt when both hands reach the target position and simultaneously starts the timing function. The counting module 5 records the number of standard movements completed within one minute. After the test time ends, the counting automatically stops and a test end signal is issued through the auditory prompting unit. This mode is suitable for physical fitness testing scenarios, conducting a one-minute supine abdominal crunch test according to the national physical fitness testing standards.

[0054] The outer casing of this invention is sealed using ultrasonic welding technology, achieving waterproof and dustproof functionality. The waterproof and dustproof rating reaches IP54, meaning it can prevent the ingress of solid foreign objects larger than 1 mm in diameter and withstand short-term splashes of water from all directions. The ultrasonic welding process creates a seamless connection between the various components of the casing, effectively preventing moisture and dust from entering the device and protecting the safe operation of electronic components.

[0055] This invention also includes a wireless remote control function. The wireless remote control 12 uses 2.4 GHz frequency band radio frequency remote control technology, with a remote control distance of 3 to 10 meters, preferably 6 meters. The wireless remote control 12 includes a start button, a pause button, a reset button, and a mode switch button, for the tester to remotely control the test process. The design of the wireless remote control function allows the tester to control the test process without being close to the subject, improving the convenience and efficiency of the test.

[0056] This invention also features data storage functionality. The data storage function saves detailed data from each test to the local storage unit 20, including the test date and time, test mode, number of completions, time consumed per action, number of posture anomalies, and battery consumption. The data storage capacity can store the most recent 1000 test records, and historical data can be exported to a computer for statistical analysis via the wireless communication module 8.

[0057] The method of using this invention includes the following steps: The mat 1 is laid flat on the ground or test platform, ensuring there are no air bubbles or wrinkles between the mat 1 and the ground. The device is started via the power button, and the system self-test is completed. After the calibration indicator light illuminates, the device enters the test-ready state. Next, the subject lies supine on the mat 1 with feet shoulder-width apart in the footrest area, knees bent at approximately 90 degrees, and palms down in the starting position marked area. The tester sets the test mode or target number of repetitions via the setting button, or the subject starts the test independently via the wireless remote control 12. During the test, the subject performs a supine crunch, sliding their hands along the mat surface. When the hands reach the standard test point, the prompting module 4 issues a prompt signal. The subject returns to the starting position according to the prompt signal, and the counting module 5 automatically completes one count. After the target number of repetitions is reached or the test time ends, the system issues a test end signal. The tester records the test data or views a detailed report via a mobile application.

[0058] This invention also enables data synchronization with a cloud server. The cloud synchronization function connects to a wireless router via the wireless communication module 8, uploading test data to the cloud server for long-term storage and analysis. The cloud server provides a data visualization interface, displaying the test subject's historical performance trends, movement standardization assessments, and personalized training suggestions.

[0059] The structural design of this invention fully considers the application scenarios of large-scale physical health testing. The mat 1 adopts a foldable design, and its volume is reduced to less than one-third of its original volume after folding, which facilitates transportation and storage. The weight of the mat 1 is controlled between 2 kg and 3.5 kg, preferably 2.8 kg, which is convenient for single-person handling and placement. The outer packaging of the device adopts a portable backpack design, which can accommodate the mat 1, the wireless remote control 12, and charging accessories.

[0060] This invention also features a multi-person simultaneous testing function. This function is achieved by assigning a unique device identification code to each mat 1, allowing multiple mats 1 to operate simultaneously without interference. Testers can monitor the testing status of multiple mats 1 simultaneously through a single control terminal, enabling centralized management and high-efficiency testing. This function is particularly suitable for scenarios such as school physical education tests or group classes in gyms.

[0061] In this embodiment, the signal processing module 3 adopts a low-power design strategy. The central processing unit 19 enters sleep mode when there are no test tasks, reducing power consumption to the microamp level and significantly lowering standby power consumption. The signal acquisition layer 2 employs an intermittent sampling strategy, switching to continuous sampling mode only when a contact signal is detected, and resuming intermittent sampling after a no-contact state is detected, saving power consumption. The wireless communication module 8 immediately enters a low-power broadcast mode after data transmission is completed, further reducing power consumption.

[0062] The anti-interference design of this invention comprises two parts: electromagnetic shielding and signal filtering. Electromagnetic shielding uses a thin metal film layer placed between the signal acquisition layer 2 and the external environment, with a shielding effectiveness greater than 40 dB. The thin metal film layer is disposed on the upper and lower surfaces of the signal acquisition layer 2, effectively blocking the influence of external electromagnetic interference on sensitive signals. Signal filtering employs a digital filtering algorithm to smooth the acquired signal, eliminating signal noise caused by muscle tremors and environmental electromagnetic interference. The digital filtering algorithm includes two types: moving average filtering and Kalman filtering. By appropriately setting the filtering parameters, noise interference is eliminated while retaining the effective signal.

[0063] The installation and maintenance design of this invention adopts a modular plug-and-play structure. The signal acquisition layer 2, signal processing module 3, and prompting module 4 are electrically connected via standard connectors, facilitating fault diagnosis and component replacement. The battery is replaceable, with a replacement cycle of 12 to 24 months, depending on usage frequency and battery capacity.

[0064] Example 1 The intelligent monitoring supine crunch training mat of this embodiment is manufactured using the above-mentioned technical solution, with the following specific parameters: Mat body 1 is 200 cm long, 90 cm wide, and 3 cm thick; the upper covering layer 13 is made of polyester fiber fabric with a thickness of 1.0 mm; the middle support layer 14 is made of polyurethane foam material with a density of 30 kg / m³ and a thickness of 2 cm; the lower bottom liner layer 15 is made of thermoplastic elastomer material with a thickness of 1.0 mm. The signal acquisition layer 2 is equipped with 65 sensing units 16 spaced 3 cm apart, using capacitive touch sensing technology with a sensitivity of 2 N. The signal processing module 3 uses a 72 MHz ARM Cortex-M3 processor, and the storage unit 20 consists of 64 kilobytes of flash memory and 16 kilobytes of random access memory. The prompting module 4 includes 6 vibration motors, 8 LEDs, and 1 piezoelectric buzzer. The counting module 5 uses a 3-digit digital tube display. The power management module 7 uses a 1500 mAh lithium battery. The communication module uses Bluetooth 4.0 technology.

[0065] Twenty adult subjects aged 20 to 35 years were selected for the test. Subjects were in good health and had no history of sports injuries. The subjects first underwent calibration to establish personalized standard test point positions, and then performed 10 repetitions of supine crunches. The following data were recorded during the test: accuracy of hands reaching the standard test point positions, time taken per repetition, counting accuracy, and subject's subjective comfort score.

[0066] Test results showed that the accuracy rate of both hands reaching the standard test point position was 98.5%, the average time for a single movement was 2.8 seconds, the counting accuracy rate was 100%, and the average subjective comfort score of the subjects was 4.6 out of 5. These test results indicate that the intelligent monitoring supine abdominal crunch training mat of this invention can accurately detect the position of the subjects' hands, provide reliable prompts when they reach the standard test point position, and automatically complete accurate counting, resulting in a high level of user comfort.

[0067] Example 2 This embodiment of the intelligent monitoring supine crunch training mat adds a posture monitoring module 9 to the first embodiment to monitor the subject's body posture during the test. The accelerometer is a three-axis MEMS accelerometer with a range of ±16 grams and a sampling rate of 100 Hz; the gyroscope sensor is a three-axis MEMS gyroscope with a range of ±2000 degrees per second and a sampling rate of 100 Hz. The signal processing module 3 calculates the subject's torso lifting angle using a data fusion algorithm. When the angle is below 25 degrees or above 50 degrees, it is determined to be an abnormal posture, and a warning signal is issued through the prompting module 4.

[0068] Twenty adult subjects were selected for testing and divided into an experimental group and a control group, with 10 subjects in each group. The experimental group used a smart monitoring supine crunch training mat with posture monitoring function, while the control group used a regular smart monitoring supine crunch training mat without posture monitoring function. The test consisted of a 1-minute supine crunch test, and the number of times completed and the number of abnormal postures were recorded.

[0069] Comparative Example The comparison is a traditional supine crunch training mat without position detection and prompting functions. It only has basic support and comfort functions and no electronic monitoring components. The traditional training mat is a commercially available ordinary foam mat, 180 cm long, 80 cm wide, and 2.5 cm thick. The surface only has simple color markings and no functional electronic modules.

[0070] Twenty adult subjects were selected for testing. The subjects were divided into an experimental group and two control groups, with 10 subjects in each group. The first control group used a smart monitoring supine crunch training mat with position detection and prompting functions but no posture monitoring function, while the second control group used a traditional training mat with manual counting and guidance. The test consisted of a 1-minute supine crunch test.

[0071] As shown in the table above, the intelligent monitoring supine crunch training mat (experimental group) of the present invention significantly outperforms the control group in all indicators. The experimental group completed 28.3 repetitions, an increase of 15.5% compared to the second control group's 24.5 repetitions; the accuracy rate of reaching the standard hand position was 97.2%, an increase of 19.9 percentage points compared to the second control group's 78.3%; and the number of abnormal postures was 1.2, a decrease of 75% compared to the second control group's 4.8. Regarding the operational burden on the testers, both the experimental group and the first control group using the device of the present invention had low levels, while the second control group using a traditional mat combined with manual counting had high levels.

[0072] The comparative results demonstrate that the intelligent monitoring supine crunch training mat of this invention can significantly improve the accuracy and efficiency of the test. Position detection and prompting functions help subjects accurately perceive standard movement points, improving the standardization of movements; the automatic counting function reduces errors and workload associated with manual counting; and the posture monitoring function effectively reduces the risk of sports injuries.

[0073] It should be noted that, in this document, relational terms such as "one" and "two" are used merely to distinguish one entity or operation from another, and do not necessarily require or imply any such actual relationship or order between these entities or operations. Furthermore, the terms "comprising," "including," or any other variations thereof are intended to cover non-exclusive inclusion, such that a process, method, article, or apparatus that comprises a list of elements includes not only those elements but also other elements not expressly listed, or elements inherent to such a process, method, article, or apparatus. Without further limitations, the phrase "comprising an element defined as..." does not exclude the presence of other identical elements in the process, method, article, or apparatus that includes said element.

[0074] Although embodiments of the invention have been shown and described, it will be understood by those skilled in the art that various changes, modifications, substitutions and alterations can be made to these embodiments without departing from the principles and spirit of the invention, the scope of which is defined by the appended claims and their equivalents.

Claims

1. An intelligent monitoring mat for supine crunch training, characterized in that, include: Cushion (1); The signal acquisition layer (2) is located inside the pad (1) and includes multiple sensing units (16) arranged along the length of the pad (1). The signal processing module (3) is located at one end of the pad (1) and is electrically connected to the signal acquisition layer (2); The prompting module (4) is electrically connected to the signal processing module (3) and is used to issue a prompting signal when the subject slides his hands to the preset standard test point position; The counting module (5) is connected to the signal processing module (3) and is used to count after the subject completes a standard action.

2. The intelligent monitoring supine crunch training mat according to claim 1, characterized in that: The pad (1) includes an upper covering layer (13), an intermediate support layer (14), and a lower bottom liner layer (15).

3. The intelligent monitoring supine crunch training mat according to claim 1, characterized in that: The signal acquisition layer (2) is located between the upper cover layer (13) and the middle support layer (14). When the subject's hands come into contact with the mat, the sensing unit (16) generates an electrical signal change. The signal acquisition layer (2) also includes a signal amplification circuit (17) and an analog-to-digital conversion circuit (18), which are used to amplify the analog signal generated by the sensing unit (16) and convert it into a digital signal. The sensitivity of the signal acquisition layer (2) can be adaptively adjusted according to the subject's weight range, with the adjustment range being a force threshold of 0.5 N to 5 N.

4. The intelligent monitoring supine crunch training mat according to claim 1, characterized in that: The signal processing module (3) includes a central processing unit (19), a storage unit (20), and a communication interface. The storage unit (20) includes flash memory and random access memory. The communication interface includes a universal serial bus interface and a Bluetooth wireless communication module.

5. The intelligent monitoring supine crunch training mat according to claim 1, characterized in that: The prompting module (4) includes a tactile prompting unit, a visual prompting unit, and an auditory prompting unit; The tactile feedback unit is located inside the pad (1) corresponding to the standard test point position; The visual prompting unit adopts a display area (11) located on the side of the pad (1). The auditory prompting unit uses a piezoelectric buzzer.

6. The intelligent monitoring supine crunch training mat according to claim 1, characterized in that: The counting module (5) includes a counter circuit and a display circuit. The counting module (5) also includes a reset button and a setting button for manually resetting the count value and setting the target count. It also includes a calibration module (6), which includes a calibration button and a calibration indicator light, for calibrating the standard test point position when using it for the first time or changing the usage scenario.

7. The intelligent monitoring supine crunch training mat according to claim 1, characterized in that: It also includes a power management module (7), which uses a rechargeable lithium battery. The power management module (7) also includes a power detection circuit and a low power indicator. When the battery power is below 20%, the low power indicator lights up red to indicate this. It also includes a posture monitoring module (9), which includes an accelerometer and a gyroscope sensor, for monitoring the subject’s body posture during the test; The signal processing module (3) calculates the subject's torso lifting angle based on the data fusion of the accelerometer and gyroscope sensor. When the torso lifting angle exceeds the preset threshold range, the prompting module (4) issues an abnormal posture warning signal.

8. The intelligent monitoring supine crunch training mat according to claim 1, characterized in that: The accelerometer sensor is a three-axis MEMS accelerometer, and the gyroscope sensor is a three-axis MEMS gyroscope. It also includes a visual identification system (10) set on the surface of the pad (1), including a starting position identification line, a target position identification line and a movement direction identification arrow; The starting position marking line is set in the head area of ​​the pad (1) and marked with a high contrast color; The target position marking line is set on the pad surface corresponding to the vertical line of both knees.

9. The intelligent monitoring supine crunch training mat according to claim 1, characterized in that: The signal processing module (3) has two built-in testing modes: fitness training mode and physical fitness test mode. In the fitness training mode, the prompting module (4) issues a prompt when the hands reach the target position, and the counting module (5) records the number of times the action is completed without limiting the test time; in the physical fitness test mode, the prompting module (4) issues a prompt when the hands reach the target position and starts the timing function at the same time, and the counting module (5) records the number of times the standard action is completed within one minute. It also includes a wireless remote control (12), which includes a start button, a pause button, a reset button and a mode switch button.

10. The intelligent monitoring supine crunch training mat according to claim 1, characterized in that: The central processing unit (19) enters sleep mode when there is no test task, and the signal acquisition layer (2) switches to continuous sampling mode only when a contact signal is detected.

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