Uneingeschränkter Zugang

Research on the optimization system of athlete selection and training effect based on big data

Yongkang Guan

Yongkang Guan

School of Physical Education and Health, Institute of Information Technology GUETGuilin, China
Suche nach diesem Autor auf
Sciendo|Google Scholar
Guan, Yongkang
 und 
Weijia Xue

Weijia Xue

School of Physical Education and Health, Institute of Information Technology GUETGuilin, China
Suche nach diesem Autor auf
Sciendo|Google Scholar
Xue, Weijia
  
21. März 2025
Research on the optimization system of athlete selection and training effect based on big data's Cover Image
Über diesen Artikel
Vorheriger Artikel
Nächster Artikel
Zitieren
COVER HERUNTERLADEN
Online veröffentlicht: 21. März 2025
Eingereicht: 11. Okt. 2024
Akzeptiert: 05. Feb. 2025
DOI: https://doi.org/10.2478/amns-2025-0563
Schlüsselwörter
© 2025 Yongkang Guan, published by Sciendo
This work is licensed under the Creative Commons Attribution-NonCommercial-NoDerivatives 4.0 International License.

Figure 1.

Significant analysis between indexes(male)
Significant analysis between indexes(male)

Figure 2.

Significant analysis between indexes(female)
Significant analysis between indexes(female)

Figure 3.

Pearson correlation coefficient analysis between indexes(male)
Pearson correlation coefficient analysis between indexes(male)

Figure 4.

Pearson correlation coefficient analysis between indexes(female)
Pearson correlation coefficient analysis between indexes(female)

Figure 5.

The number of clustering and the fitting effect(male)
The number of clustering and the fitting effect(male)

Figure 6.

The number of clustering and the fitting effect(female)
The number of clustering and the fitting effect(female)

Figure 7.

Comparison of algorithms
Comparison of algorithms

Figure 8.

Basic structure diagram of the system
Basic structure diagram of the system

The cluster of male athletes

Total score BMI CV 50m SLJ ST 1000m PU Count
1 77.03 22.02 3524.06 6.28 236.62 15.52 240.14 8.19 401
2 67.31 23.53 3061.73 5.93 231.14 14.05 245.08 8.01 114
3 73.63 20.32 3226.11 5.92 234.86 15.14 242.22 8.57 295
4 77.95 20.82 3983.44 6.23 238.03 16.10 249.25 7.95 320
5 79.38 24.69 4598.46 5.90 239.67 17.05 253.55 6.90 135

The cluster of female athletes

Total score BMI CV 50m SLJ ST 1000m SU Count
1 78.61 22.83 3993.82 7.46 167.79 21.41 231.64 33.47 91
2 74.48 21.24 3035.79 7.26 163.68 20.02 235.85 31.72 285
3 67.00 23.59 2037.57 7.1 161.40 19.26 238.08 30.30 65
4 76.67 21.99 3455.24 7.21 165.65 20.56 234.49 32.42 237
5 72.69 20.78 2613.45 7.18 162.41 19.34 232.45 31.21 222

The true recommendation of the test set

Stud. FB. BB. VB. TT. B. T. S. Top2 recommendation
1 0.50 0.27 0.09 0.20 0.64 0.09 0.19 Badminton, football
2 0.34 0.24 0.09 0.15 0.42 0.13 0.27 Badminton, football
3 0.37 0.84 0.10 0.26 0.34 0.10 1.64 Badminton, swimming,
4 0.10 0.94 0.19 0.18 1.68 0.14 1.64 Badminton, swimming
5 0.19 1.20 0.13 0.19 2.22 0.13 0.61 Badminton, basketball
6 0.38 0.85 0.10 0.26 0.33 0.10 1.61 Swimming, basketball
7 0.35 1.27 0.09 0.20 0.20 0.09 0.94 Basketball, swimming
8 0.50 0.27 0.09 0.20 0.64 0.09 0.19 Badminton, football

Athletes selection indexes

Primary index Secondary index
Physical form Weight, height, sitting height, length of legs, finger distance, Kole index, chest circumference, shoulder width, arm’s length, body fat, upper and lower limbs length, hips width, waistline, arch
Body function Lung activity, maximum oxygen uptake, hemoglobin, blood pressure, cardio index, blood testosterone level
Physical quality Lead-up, 50m run, 1000(800)m run, fixed jump, seated forward bend(sit-ups)
Special quality Reading chart, using compass, route selection, sense of direction, distance judgment, checkpoint capture, repositioning
Mental quality Cognitive psychology, emotional emotion, will quality, personality characteristics, temperament type, general intelligence, motion intelligence
Trainer Sports ability, sports sense, acceptance ability, combat psychological quality, will-quality
Sprache:
Englisch
Zeitrahmen der Veröffentlichung:
1 Hefte pro Jahr
Fachgebiete der Zeitschrift:
Biologie, Biologie, andere, Mathematik, Angewandte Mathematik, Mathematik, Allgemeines, Physik, Physik, andere
Zeitschrift RSS Feed