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<p>In order to improve the teaching quality of the free throw action process in basketball courses, this paper proposes research on the teaching of free throw action by integrating motion vector field transformation. Starting from the actual situation of the player’s free throw action, it describes the problems in the teaching process of free throw action. It elaborates on the structure and principle of the motion vector field transformation algorithm in depth. In video analysis teaching of free-throw shooting action processes, the player’s motion vectors can easily be interfered with by random noise, which needs to be optimized using smoothing processing and compensation models. Combined with the teaching objectives of free throw action, the design and development of the “basketball free throw action” microteaching by integrating the motion vector field transformation through the analysis of a university sports college basketball class of 2021 students found that from the seventh week and the eighth week of the experimental group and the control group, respectively, there is a difference of 7.8% and 13%. The ball-hitting rate is significantly different from that of the control group (&lt;0.5). A significant difference occurred (&lt;0.05). Although both methods have improved the free throw shooting rate of the athletes, the teaching of free throw shooting action in the basketball course integrating the motion vector field transformation performs better compared to the traditional free throw shooting action teaching mode. This study provides technical support and diversified media presentation methods for the design and development of basketball micro-courses. It constructs a feasible way to develop and innovate college basketball teaching.</p>
</abstract>

In order to improve the teaching quality of the free throw action process in basketball courses, this paper proposes research on the teaching of free throw action by integrating motion vector field transformation. Starting from the actual situation of the player’s free throw action, it describes the problems in the teaching process of free throw action. It elaborates on the structure and principle of the motion vector field transformation algorithm in depth. In video analysis teaching of free-throw shooting action processes, the player’s motion vectors can easily be interfered with by random noise, which needs to be optimized using smoothing processing and compensation models. Combined with the teaching objectives of free throw action, the design and development of the “basketball free throw action” microteaching by integrating the motion vector field transformation through the analysis of a university sports college basketball class of 2021 students found that from the seventh week and the eighth week of the experimental group and the control group, respectively, there is a difference of 7.8% and 13%. The ball-hitting rate is significantly different from that of the control group (<0.5). A significant difference occurred (<0.05). Although both methods have improved the free throw shooting rate of the athletes, the teaching of free throw shooting action in the basketball course integrating the motion vector field transformation performs better compared to the traditional free throw shooting action teaching mode. This study provides technical support and diversified media presentation methods for the design and development of basketball micro-courses. It constructs a feasible way to develop and innovate college basketball teaching.

Teaching the process of free throw action in basketball course based on motion vector field transformation

Applied Mathematics and Nonlinear Sciences

This work is licensed under the Creative Commons Attribution 4.0 International License.

In order to improve the teaching quality of the free throw action process in basketball courses, this paper proposes research on the teaching of free throw...

Teaching the process of free throw action in basketball course based on motion vector field transformation

Online veröffentlicht: 15. Mai 2024

Seitenbereich: -

Eingereicht: 22. Jan. 2024

Akzeptiert: 06. Apr. 2024

DOI: https://doi.org/10.2478/amns-2024-1076

Schlüsselwörter
Smoothing, Compensation model, Motion vector field, Free throw movement teaching

© 2024 Bin Li et al., published by Sciendo

This work is licensed under the Creative Commons Attribution 4.0 International License.

Teaching the process of free throw action in basketball course based on motion vector field transformation

Online veröffentlicht: 15. Mai 2024

Seitenbereich: -

Eingereicht: 22. Jan. 2024

Akzeptiert: 06. Apr. 2024

DOI: https://doi.org/10.2478/amns-2024-1076

SchlüsselwörterSmoothing, Compensation model, Motion vector field, Free throw movement teaching

© 2024 Bin Li et al., published by Sciendo

This work is licensed under the Creative Commons Attribution 4.0 International License.

Schlüsselwörter
Smoothing, Compensation model, Motion vector field, Free throw movement teaching