Table-tennis-movement system based on inertial navigation and touch correction positioning

Abstract

The invention discloses a table-tennis-movement system based on inertial navigation and touch correction positioning. The system is composed of a table tennis table capable of identifying table-tennisimpact positions, a table tennis net provided with pressure sensors and photoelectric sensors, table tennis bats provided with pressure sensors and gyroscopes, table tennis balls with the inertial navigation function and a server for calculating positions according to inertial navigation and touch correction. All the sensors arranged on the table tennis table, the table tennis net and the table tennis bats obtain table-tennis impact data, then the impact data is sent to the server for calculating the positions according to inertial navigation and touch correction, the table tennis balls withthe inertial navigation function obtain the table-tennis-movement data, and then the movement data is sent to the server for calculating the positions according to inertial navigation and touch correction. By means of the table-tennis-movement system based on inertial navigation and touch correction positioning, the problem that an existing table-tennis-movement system based on the Internet of Things lacks the function of calculating table-tennis ball positions in real time is solved.

Description

technical field [0001] The invention belongs to the technical field of intelligent table tennis sports, in particular to a table tennis sports system based on inertial navigation and tactile correction positioning. Background technique [0002] At present, there are two main types of technologies for monitoring table tennis, one is computer vision analysis method, and the other is signal trigger judgment method. [0003] The computer vision analysis method mainly uses multiple high-speed high-definition cameras to collect real-time video footage of the table tennis movement, and performs target recognition and spatial positioning on each image in the video to form data, and then calculates the trajectory of the table tennis ball through filtering and tracking. The disadvantage is that the calculation complexity is high, and the performance requirements of the equipment are high. [0004] The signal trigger judgment method is to obtain the signal generated by the impact of t...

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Problems solved by technology

[0003] The computer vision analysis method mainly uses multiple high-speed high-definition cameras to collect real-time video footage of the table tennis movement, and performs target recognition and spatial positioning on each image in the video to form data, and then calculates the trajectory of the table tennis ball through filtering and tracking. The disadvantage is that the calculation complexity is high, and the performance requirements of the equipment are high.

[0004] The signal trigger judgment method is to obtain the signal generated by the impact of the table tennis ball through the piezoelectric sensor installed on the table tennis table and the ball net, compare the strength and generation time of multiple signals, and calculate the impact position and approximate trajectory of the table tennis ball , the disadvantage of this scheme is that it cannot locate the position of the table tennis ball in the air, and the positioning accuracy is low

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