Intelligent table tennis bat

Abstract

The invention relates to the technical field of table tennis bats, in particular to an intelligent table tennis bat which comprises a bat body and an upper computer and further comprises a plurality of pressure sensors, a controller and an acceleration sensor, the pressure sensors are evenly distributed on the bat body and used for detecting pressure borne by the bat body, and the controller is arranged on the bat body and used for controlling the acceleration sensor. The pressure sensor is arranged on the racket and used for transmitting a numerical value detected by the pressure sensor to an upper computer, and the acceleration sensor is arranged on the racket and used for detecting the shape of the racket; the pressure sensor can realize large-range detection, and the average detection accuracy before and after rubber covering exceeds 90%; a ball hitting force detection system carried by the racket has relatively high accuracy, the error after correction is within 1%, and the system can be used as a powerful supplement for high-precision digital table tennis motion data acquisition and analysis equipment in a table tennis actual combat laboratory; the real-time analysis accuracy rate of the racket shape is 100%, the response time is within 1ms, and the racket shape can be matched with the ball hitting part and force to integrally display the ball hitting condition.

Description

Technical Field

[0001] This invention relates to the field of table tennis racket technology, and more particularly to intelligent table tennis rackets. Background Technology

[0002] Table tennis is a popular ball sport worldwide. However, in traditional table tennis, the lack of quantifiable motion analysis capabilities in the racket significantly hinders the improvement and enhancement of players' techniques. Current research and applications in areas such as table tennis trajectory recognition and prediction, spin measurement and prediction, and analysis of hitting force and point of impact still have some shortcomings, both domestically and internationally. 1) The table tennis motion capture system based on high-speed cameras uses visual analysis methods, which have a large lag and cannot obtain the exact hitting point and hitting force, resulting in low data accuracy and weak practical guidance. 2) High-configuration laboratories are only used by professional training teams, and the methods are relatively complex, costly, and not easy to use, making them unsuitable for training by ordinary people; 3) Smart table tennis rackets with built-in sensors in the handle only record simple data such as calories burned, number of moves, time, and intensity during table tennis play on a mobile app, and the accuracy is not high. Summary of the Invention

[0003] The main objective of this invention is to provide an intelligent table tennis racket to solve the problems raised in related technologies.

[0004] To achieve the above objectives, according to one aspect of the present invention, a smart ping-pong paddle is provided, comprising a paddle and a host computer, and further comprising: A pressure sensor, comprising several sensors distributed on the racket, is used to detect the pressure applied to the racket; A controller, mounted on the racket, is used to transmit the values ​​detected by the pressure sensor to a host computer. An accelerometer, which is mounted on the racket, is used to detect the racket's shape.

[0005] Furthermore, the pressure sensor is a thin-film pressure sensor, and several thin-film pressure sensors are arranged in an array on the racket.

[0006] Furthermore, the thin-film pressure sensor is model RRP-S40-ST or RP-C18.3-LT.

[0007] Furthermore, the controller uses an Arduino Mega1280 controller and is connected to a host computer.

[0008] Furthermore, several of the pressure sensors are connected to different pins of the controller for data transmission.

[0009] Furthermore, the accelerometer is a BMX160 nine-axis accelerometer, which integrates a 16-bit gyroscope, a 16-bit accelerometer, and a geomagnetic sensor.

[0010] Furthermore, the accelerometer is connected to the pressure sensor to transmit the component value of the gravitational acceleration of the ping-pong paddle to the pressure sensor.

[0011] Compared with the prior art, the present invention has the following beneficial effects: 1. The pressure sensor array can achieve wide-range detection, with an average detection accuracy of over 90% before and after covering with rubber.

[0012] 2. The racket's built-in hitting force detection system has high accuracy, with a corrected error of less than 1%, making it a powerful supplement to the high-precision digital table tennis data acquisition and analysis equipment in the "Table Tennis Practice Laboratory".

[0013] 3. The real-time racket angle analysis has an accuracy rate of 100% and a reaction time of less than 1ms. It can be combined with the hitting point and force to display the overall hitting situation.

[0014] Compared to previous technologies and products, this smart ping-pong paddle can serve as a powerful supplement to video analysis, becoming a scientific and efficient auxiliary tool in ping-pong training. Attached Figure Description

[0015] Figure 1 This is a schematic diagram of the entire invention. Figure 1 ; Figure 2 This is a schematic diagram of the entire invention. Figure 2 ; Figure 3 This is a detection and analysis diagram of the contact area before the ball hits the ball, as shown in the diagram. Figure 4 This is a diagram showing the detection and analysis of the hitting area after the rubber coating is applied according to the present invention. Figure 5 This is a diagram showing the modified and tested impact force detection system of the present invention.

[0016] Figure label: 1. Racket; 2. Pressure sensor; 3. Controller; 4. Accelerometer. Detailed Implementation

[0017] To further illustrate the technical means and effects of the present invention in achieving its intended purpose, the following detailed description of the specific implementation methods, structures, features, and effects of the present invention, in conjunction with the accompanying drawings and preferred embodiments, is provided below.

[0018] This embodiment provides a smart ping-pong paddle, such as Figure 1 As shown, it includes racket 1 and host computer, and also includes: like Figure 2 As shown, there are 15 pressure sensors 2, all distributed on racket 1, used to detect the pressure on racket 1; Controller 3, which is mounted on racket 1, is used to transmit the values ​​detected by pressure sensor 2 to the host computer. Accelerometer 4 is mounted on racket 1 and is used to detect the racket shape of racket 1.

[0019] Pressure sensor 2, controller 3 and acceleration sensor 4 are all located under the rubber on the surface of racket 1 to prevent unevenness on the surface of racket 1 from affecting the shot.

[0020] Pressure sensor 2 is a thin-film pressure sensor. Fifteen thin-film pressure sensors are arranged in an array on racket 1, covering the core hitting area of ​​racket 1. The model of the thin-film pressure sensor is RRP-S40-ST or RP-C18.3-LT.

[0021] Controller 3 uses an Arduino Mega1280 controller and connects to a host computer. Fifteen pressure sensors 2 are connected to different pins of controller 3 for data transmission. By analyzing the changes in pressure sensor values ​​corresponding to different pins, the corresponding point of impact can be determined, and the impact point can be visually displayed to the user through the host computer's interface.

[0022] Accelerometer 4 uses a BMX160 nine-axis accelerometer, which integrates a 16-bit gyroscope, a 16-bit accelerometer, and a geomagnetic sensor. Accelerometer 4 is connected to pressure sensor 2 to transmit the gravitational acceleration components of the ping-pong paddle. Pressure sensor 2 returns the gravitational acceleration components along the x, y, and z axes to characterize the spatial position of the ping-pong paddle, i.e., its shape.

[0023] The hitting point, force, and racket shape are important factors in improving table tennis skills. Based on the detection of the hitting point and force of the racket face by pressure sensing, and combined with the recognition of four pairs of racket shapes by acceleration sensors, a smart table tennis racket with the functions of detecting the hitting point, force, and racket shape is realized through the combination of sensors and data processing algorithms.

[0024] like Figure 3 As shown, before the rubber was applied to the racket 1, each pressure sensor 2 underwent 20 shot tests, with an accuracy rate exceeding 90%. Figure 4 As shown, after the racket 1 was covered with rubber, each pressure sensor 2 underwent 20 hit tests, and the accuracy rate of each test exceeded 90%.

[0025] During the racket shape detection test, controller 3 was connected to the host computer. The racket 1 was held in hand, forming different racket shapes. The detected racket shape displayed on the host computer's screen was observed and compared with the actual racket shape. The test was repeated multiple times to obtain the accuracy of the racket shape detection system. After 50 tests with different racket shapes in various directions, the detection accuracy was 100%, and the reaction time was within 1ms.

[0026] The pressure sensor array 2 works in conjunction with the force detection correction to detect both the hitting point and the hitting force. When detecting the hitting point, the pressure change received by the pressure sensor 2 is sequentially converted into a resistance change followed by a voltage change, which is then displayed on the host computer's monitor, thus identifying the hitting point of the racket 1. When detecting the hitting force, the minute vibrations received by the pressure sensor 2 are sequentially converted into an analog electrical signal, then an analog-to-digital converter, and finally a digital signal, which is then displayed on the host computer's monitor, thus identifying the hitting force of the racket 1.

[0027] When correcting and testing the impact force detection system, based on the correlation between the resistance and pressure values ​​of pressure sensor 2, a preset true value is obtained by capturing images with a high-speed camera and performing software analysis. This true value is used to correct the values ​​detected by pressure sensor 2, thus improving the accuracy of impact force detection. The impact force detection system based on pressure sensor 2 serves as a supplement to the high-speed photography motion capture system, and its accuracy needs to be improved. In a laboratory environment, simulated impacts are performed, and the data measured by the high-speed camera is used as the agreed true value to correct the error of the impact force detection system. The relative deviation is consistently around 33%, requiring correction of the system error. The correction coefficient k = 1.33, and the corrected result is as follows. Figure 5 As shown, the deviation range is within 1%.

[0028] The above description is merely a preferred embodiment of the present invention and is not intended to limit the present invention in any way. Although the present invention has been disclosed above with reference to preferred embodiments, it is not intended to limit the present invention. Any person skilled in the art can make some modifications or alterations to the above-disclosed technical content to create equivalent embodiments without departing from the scope of the present invention. Any simple modifications, equivalent changes and alterations made to the above embodiments based on the technical essence of the present invention without departing from the scope of the present invention shall still fall within the scope of the present invention.

Claims

1. An intelligent table tennis bat comprising a bat (1) and an upper computer, characterized in that, Also include: A plurality of pressure sensors (2) are distributed on the racket (1) for detecting the pressure received by the racket (1); A controller (3) is arranged on the racket (1) for transmitting the value detected by the pressure sensor (2) to the host computer; An acceleration sensor (4) is arranged on the racket (1) for detecting the shape of the racket (1).

2. The smart table tennis bat according to claim 1, characterized in that, The pressure sensor (2) adopts a thin film pressure sensor, and a plurality of thin film pressure sensors are arranged in an array on the racket (1).

3. The smart table tennis bat according to claim 2, characterized in that, The model of the thin film pressure sensor is RRP-S40-ST or RP-C18.3-LT.

4. The smart table tennis bat according to claim 2, characterized in that, The controller (3) adopts an ArduinoMega1280 controller and is connected with the host computer.

5. The smart table tennis bat according to claim 4, characterized in that, A plurality of pressure sensors (2) are connected to different pins of the controller (3) for transmitting data.

6. The smart table tennis bat according to claim 2, wherein, The acceleration sensor (4) adopts a BMX160 nine-axis acceleration sensor which integrates a 16-bit gyroscope, a 16-bit acceleration and a geomagnetic sensor.

7. The smart table tennis bat according to claim 6, characterized in that, The acceleration sensor (4) is connected with the pressure sensor (2) for transmitting the component value of the gravitational acceleration of the table tennis racket to the pressure sensor (2).

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