Accès libre

A study of student movement characteristics in college soccer teaching based on motion capture technology

Juhai Wang

Juhai Wang

Weinan Normal University College of Physical EducationWeinan, China
Recherchez cet auteur sur
Sciendo|Google Scholar
Wang, Juhai
  
24 mars 2025
A study of student movement characteristics in college soccer teaching based on motion capture technology's Cover Image
À propos de cet article
Article précédent
Article suivant
Citez
Télécharger la couverture
Publié en ligne: 24 mars 2025
Reçu: 06 nov. 2024
Accepté: 17 févr. 2025
DOI: https://doi.org/10.2478/amns-2025-0737
Mots clés
© 2025 Juhai Wang, published by Sciendo
This work is licensed under the Creative Commons Attribution-NonCommercial-NoDerivatives 4.0 International License.

Figure 1.

Riemann Pop represents human posture
Riemann Pop represents human posture

Figure 2.

Flow of football action recognition and evaluation system
Flow of football action recognition and evaluation system

Figure 3.

Results of 3D pose reconstruction of the target
Results of 3D pose reconstruction of the target

Figure 4.

3D posture reconstruction results compared with real data
3D posture reconstruction results compared with real data

Figure 5.

Z-axis angular velocity data of football stopping action
Z-axis angular velocity data of football stopping action

Experimental results of football stop recognition

Football experiment 1 2 3 4 5
K-NN 100% 100% 80% 100% 90%
NBC 100% 90% 100% 100% 100%
CART 90% 100% 100% 80% 100%
SVM 100% 100% 100% 100% 100%
DA 80% 70% 50% 40% 50%

Three method attitude difference value comparison results

Graphics Textual method/cm Kalman method/cm Fourier method/cm
1 2.36 6.51 7.43
2 1.89 7.57 8.58
3 2.31 6.29 6.35
4 3.24 7.89 7.82
5 2.27 6.76 8.14
Langue:
Anglais
Périodicité:
1 fois par an
Sujets de la revue:
Sciences de la vie, Sciences de la vie, autres, Mathématiques, Mathématiques appliquées, Mathématiques générales, Physique, Physique, autres
RSS Feed de la revue