Narrow Results

With the rapid development of computer technology, the application of computer information technology in the field of physical education is becoming increasingly widespread, especially in promoting students’ physical health, showing great potential. This paper focuses on badminton teaching in universities, and from the perspective of improving students’ physical health, deeply studies the application practice of badminton sequence image processing technology based on feature extraction algorithm in teaching. Through feature extraction algorithms, subtle differences in swing movements can be captured, providing a reliable data foundation for subsequent motion analysis. In order to further improve processing efficiency, this paper adopts the idea of multi process programming and implements a parallel processing mechanism for classification software design. This innovation not only significantly shortens the image processing time, but also greatly improves the overall detection efficiency of the system, providing real-time and efficient feedback for badminton teaching. The speed change of the racket during the swing can reflect the athlete’s strength control and the explosive power at the moment of hitting the ball. By calculating the position changes of the racket in consecutive image frames, the velocity curve can be obtained to analyze the trend of velocity changes. Acceleration is the rate of change in velocity, which better reflects the athlete’s power output at the moment of hitting the ball. Calculating acceleration can further reveal the strength and explosiveness of the swing motion. In order to verify the effectiveness of the proposed method, this paper conducted experimental simulations using Matlab and implemented automatic classification and detection of badminton swing quality levels through the VC6.0 programming environment. The experimental results show that the badminton sequence image processing technology based on a feature extraction algorithm can accurately identify swing movements at different levels, providing a scientific evaluation basis and personalized teaching suggestions for badminton teaching in universities.

Human–computer interaction systems have been developed in large numbers and quickly applied to sports. Badminton is the best sport for applying robotics because it requires quick recognition and fast movement. For the development of badminton recognition and tracking systems, it is important to accurately identify badminton, venues, and opponents. In this paper, we designed and developed a badminton recognition and tracking system using two 2 000 000-pixel high-speed cameras. The badminton tracking system has a transmission speed of 250fps and the maximum speed of the badminton resonator is 300km/h. The system uses the camera link interface Camera Link to capture images of high-speed cameras and process all captured images in real time using different regions of interest settings. In order to improve accuracy, we propose a new method for judging the center point of badminton. We have proposed a detector that detects the four corner points of the field by using the contour information of the badminton court when the approximate position of the badminton court is known. We set the sensing area according to the approximate position of the badminton court and use the histogram in the sensing area to select the point closest to the contour. Specify the intersection of the line as the corner point of the badminton court. The proposed angle detector has a high detection rate. It is more than 10 times more accurate than traditional detectors. The moving badminton is detected by an elliptical detector. We propose a method to find the center of the correct ellipse from the four candidates by selecting the four candidate contours of the ellipse. Compared to conventional circular detectors and points on three-dimensional coordinates, the proposed elliptical detector reduces the error by about 3mm.

This paper focuses on the design of badminton robots, and designs high-precision binocular stereo vision synchronous acquisition system hardware and multithreaded acquisition programs to ensure the left and right camera exposure synchronization and timely reading of data. Aiming at specific weak moving targets, a shape-based Brown motion model based on dynamic threshold adjustment based on singular value decomposition is proposed, and a discriminative threshold is set according to the similarity between the background and the foreground to improve detection accuracy. The three-dimensional trajectory points are extended by Kalman filter and the kinematics equation of badminton is established. The parameters of the kinematics equation of badminton are solved by the method of least squares. Based on the fractal Brownian motion algorithm, a real-time robot pose estimation algorithm is proposed to realize the real-time accurate pose estimation of the robot. A PID control model for the badminton robot executive mechanism is established between the omnidirectional wheel speed and the robot’s translation and rotation movements to achieve the precise movement of the badminton robot. All the algorithms can meet the system’s requirements for real-time performance, realize the badminton robot’s simple hit to the ball, and prospect the future research direction.

Study of biomechanical characteristics of muscles can provide an effective reference for the training of athletes. Football is a vigorous sport, and physical collision and damage are frequent during competition and training. In order to improve football skills and prevent sports injuries, 10 athletes from Sport College of Shaoyang University, Hunan, China, were tested for isokinetic muscle strength. The moment of flexors and extensors was measured when the flexion and extension angular speed of hip and knee joints was 50^∘, 100^∘, 150^∘, 200^∘, 250^∘, 300^∘, 350^∘ and 400^∘, respectively. Moreover the characteristics of force moment of flexor and extensor were verified by testing the electromyographic signal of the flexor and extensor of the hip and knee joints with isokinetic concentric exercise using piezoelectric sensor. The results showed that the electromyographic signal of the flexor and extensor of the hip and knee joint decreased with the increase of angular velocity of isokinetic concentric exercise; the electromyographic signal obtained by the piezoelectric sensor verified the law that the output of the flexor and extensor decreased, the extensor of the hip joint had incoordination during rapid movement, and the output of the extensor was always larger than that of the flexor no matter how fast the extensor moved.