Basketball shooting technology based on acceleration sensor fusion motion capture technology

Abstract

Computer vision recognition refers to the use of cameras and computers to replace the human eyes with computer vision, such as target recognition, tracking, measurement, and in-depth graphics processing, to process images to make them more suitable for human vision. Aiming at the problem of combining basketball shooting technology with visual recognition motion capture technology, this article mainly introduces the research of basketball shooting technology based on computer vision recognition fusion motion capture technology. This paper proposes that this technology first performs preprocessing operations such as background removal and filtering denoising on the acquired shooting video images to obtain the action characteristics of the characters in the video sequence and then uses the support vector machine (SVM) and the Gaussian mixture model to obtain the characteristics of the objects. Part of the data samples are extracted from the sample set for the learning and training of the model. After the training is completed, the other parts are classified and recognized. The simulation test results of the action database and the real shot video show that the support vector machine (SVM) can more quickly and effectively identify the actions that appear in the shot video, and the average recognition accuracy rate reaches 95.9%, which verifies the application and feasibility of this technology in the recognition of shooting actions is conducive to follow up and improve shooting techniques.

Analysing the action techniques of basketball players’ shooting training using calculus method

“…Take basketball performance as the dependent variable (Y), and use the above 6 indicators as independent variables (x 1 , x 2 , x 3 , x 4 , x 5 , x 6 ) to establish a multiple regression model. The basic expression of the equation is Y = 19.0779 + 0.6771x 1 + 0.1299x 2 + 0.1299x 3 + 0.9489x 4 − 12.928x 5 − 0.3109x 6 (5) Secondly, verify the significance of the regression equation. Calculated variance F = 6.3105, significance F < 0.05, indicating that the establishment of the multiple regression equation has significant significance.…”

“…The order of the degree of influence of each influencing factor on the height is that the shot speed is the first influencing factor, followed by the shot angle, and then the shot height. To be able to determine how much influence each influencing factor has on the height from a numerical point of view, we will calculate the influence of the hand speed, the influence of the shooting angle and the influence of the shooting angle respectively [5].…”

Application Effect of Motion Capture Technology in Basketball Resistance Training and Shooting Hit Rate in Immersive Virtual Reality Environment

“…In (9), α e represents the final angle between the human joints. e motion state of the human arm can be captured through the above calculation process.…”

“…e application of this technology in sports training had effectively improved the efficiency of sports training and strengthened the sports practice ability of athletes. As a common sports event, basketball had attracted much attention from the public for its innovation and optimization of skill teaching and training methods [9]. To sum up, the current VR technology is mature enough to realize many technical problems independently.…”

Postural Balance on Basketball Injuries

“…The overall improvement of the physical quality of the participants is conducive to the overall development of basketball technology. 1 Moreover, based on the theory of sports science, the training method has become more efficient. With the progress of the times, people's concept of sports has also changed.…”