Optical Sensor-Based Image Texture Characterization for Image Simulation Applications in College Gymnastics Instruction DOI Creative Commons
Peng Zhao

Applied Mathematics and Nonlinear Sciences, Journal Year: 2024, Volume and Issue: 9(1)

Published: Jan. 1, 2024

Abstract Gymnastics learning is characterized by imitation and reference, a teaching model combining optical sensors image simulation systems may have promising results in college gymnastics courses. Based on the introduction of meaning teaching, article sorted out value performance mode also established an three-dimensional imaging system based for movement to obtain gymnastic images. In 3D system, acquisition error images reduced using finite distance measurement method, quality enhanced adaptive bilateral filtering threshold selection Canny operator OTSU method. The are then inputted into panoramic graphic colleges universities. effectiveness analyzed through comparison test conducted during verification imaging. when about 150m, range between [15″and 30″], MSE obtained improved algorithm decreases 46.97% compared with before improvement. students’ handstand score against wall 22.63 points experiment, more than 90% students were satisfied constructed sensor characteristics movement, innovative, which effectively promotes interest courses enhances their training level.

Language: Английский

Research on the Application of Computer Vision Technology in Sports Mechanics Analysis DOI Creative Commons

Richard Xue

International Journal of e-Collaboration, Journal Year: 2025, Volume and Issue: 21(1), P. 1 - 27

Published: Jan. 24, 2025

With the continuous development of computer vision technology and related hardware devices, motion mechanics analysis is gradually being applied in sports training. However, due to complex characteristics irregular movements, still has limitations practical application scenarios. This article constructs a multi convolutional 3D CNN model that combines BN algorithm, dropout technique, spatial pyramid pooling technique. Different features are used as inputs for models tested on video datasets. The experimental results show combining “BM+OFM+three FDF” can achieve high recognition accuracy. Therefore, constructed this effectively improve accuracy good value.

Language: Английский

Citations

0
Optical Sensor-Based Image Texture Characterization for Image Simulation Applications in College Gymnastics Instruction DOI Creative Commons
Peng Zhao

Applied Mathematics and Nonlinear Sciences, Journal Year: 2024, Volume and Issue: 9(1)

Published: Jan. 1, 2024

Abstract Gymnastics learning is characterized by imitation and reference, a teaching model combining optical sensors image simulation systems may have promising results in college gymnastics courses. Based on the introduction of meaning teaching, article sorted out value performance mode also established an three-dimensional imaging system based for movement to obtain gymnastic images. In 3D system, acquisition error images reduced using finite distance measurement method, quality enhanced adaptive bilateral filtering threshold selection Canny operator OTSU method. The are then inputted into panoramic graphic colleges universities. effectiveness analyzed through comparison test conducted during verification imaging. when about 150m, range between [15″and 30″], MSE obtained improved algorithm decreases 46.97% compared with before improvement. students’ handstand score against wall 22.63 points experiment, more than 90% students were satisfied constructed sensor characteristics movement, innovative, which effectively promotes interest courses enhances their training level.

Language: Английский

Citations

0