Study and Design of Distributed Badminton Agility Training and Test System

Tan, Baohua; Wang, Enpu; Cao, Kejiang; Lu, Xiao Li; Luo, Lina

doi:10.3390/app13021113

Cited by 7 publications

(5 citation statements)

References 26 publications

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“…To investigate the differences between the control and experimental groups after training, a sample t-test was used to compare and analyze the data on the various abilities of the experimental subjects, and the results are shown in Table 6. (26) The experimental group was trained using the agility training equipment, and the control group was trained using conventional training methods. After 9 weeks, the p-values for the 5 m three-way fold run and 20 s straddle jump were less than 0.01, indicating a highly significant difference between the effectiveness of the training of the experimental group and the control group.…”

Section: Experimental Results and Analysismentioning

confidence: 99%

Wireless Mesh Network and Its Application in Sports Agility Tests

Tan¹,

Cao²,

Wang³

et al. 2023

Sensors and Materials

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In view of the backward traditional training methods and the shortage of training funds in college sports, an agility training system based on a wireless mesh network is developed and evaluated. The network structure, initialization, and root node selection of the mesh network are described in detail. In the mesh network training scenario, the network topology is examined, and the response time and packet loss rate of the mesh network nodes are tested to demonstrate that the ad hoc network can transmit real-time data within the response time. The experimental data show that when the number of hops is n ≤ 2 and the response time of the mesh network nodes is less than 300 ms, the packet loss rate is 0%. The wireless mesh network solves the problem that the traditional Wi-Fi network is limited by the communication distance. It also allows more lower-level computer nodes to access the network and expands the training coverage.

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Section: Experimental Results and Analysismentioning

confidence: 99%

Wireless Mesh Network and Its Application in Sports Agility Tests

Tan¹,

Cao²,

Wang³

et al. 2023

Sensors and Materials

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“…The results of previous studies related to badminton that analysed agility variables showed that innovation from various types of agility tests that have specificity is needed (Wira Yudha Kusuma, 2015); (De França Bahia Loureiro & De Freitas, 2016); (De França Bahia Loureiro et al, 2017); (Yıldız & Fidan, 2018); (Jansen et al, 2021); (Rojas et al, 2022); (Tan et al, 2023). In fact, in the field, badminton agility tests still use general tests such as shuttle runs, T tests, or zigzag runs.…”

Section: Discussionmentioning

confidence: 99%

“…The technology is to measure the time needed to perform agility movements, the data shows the maximum time taken to complete the test is 25 seconds while the minimum time is only 15 seconds (Marrylin Yalin et al, 2022). The results of other studies explain that the use of artificial technology for agility tests can also be used for agility exercises for eight weeks in the preparation, improvement and special stages (Tan et al, 2023). However, the badminton agility test in previous studies is still based on agility tests in general, so it is not in accordance with the conditions in the field.…”

Section: Introductionmentioning

confidence: 99%

Agility Test Innovation on Special Badminton Athletes for the Junior Category (U17): Validity and Reliability

Susiono,

Sugiyanto,

Lumintuarso

et al. 2024

Retos

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This study aims to produce innovative badminton agility tests specifically for athletes aged 15-17 years with the Y agility test model. There are three steps in determining an agility test model. The first step is the qualitative analysis of documents, textbooks, research articles related to agility tests. The second step is quantitative analysis using the delphi technique; the results consist of six aspects of assessment, namely the conformity aspect of the definition of agility to the test media, the conformity aspect of the badminton game, the distance aspect of the test, the motion aspect, the test procedure aspect, the construction aspect of the test image. Step three include the Aiken V validity test and Cronbach’s Alpha and Intraclass Correlation Coefficients (ICC) reliability test. This study involved nine experts for the validity test and 55 badminton athletes (35 men and 20 women) for the reliability test with a minimum qualification of having been champion at the regional level, athlete characteristics (mean±SD) age 16.15±0.8 years old, height 164.15 ±1.9 cm, weight 53.58±1.7 kg, BMI (body mass index) 19.19±34, training experience 4.71±1.4 years. The results of this study are validity test, the average value of V is 0.824. Cronbach’s Alpha 0.817 reliability test and Interclass Correlation Coefficient 0.818. Thus, the Y agility test has a high level of validity and reliability. It is expected in the future that the Y agility test for special badminton sports aged 15-17 years can be used around the world, even we encourage to publish the results of the test scientifically. Thus, the innovation of badminton agility tests can continue to develop for achievement sports and for academics to further develop Y agility tests scientifically. It is recommended to further strengthen the level of accuracy of this test, then an empirical validity test and test-retest are needed. Keywords: Y agility, Badminton, Validity and Reliability

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“…Traditional group training is divided into three stages: before, during and after the stage, and the specific training arrangement of each stage training is shown in Table 4 ( Pan, 2018 ; Zhang and Dai, 2022 ; Tan, 2023 ).…”

Section: Research Objects and Methodsmentioning

confidence: 99%

Research on the development and testing methods of physical education and agility training equipment in universities

et al. 2023

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IntroductionBecause of the problems of insufficient funds and traditional training methods in college sports agile training, an agile training system based on a wireless ad hoc network was developed to evaluate the effect of improving the sensitive quality of ordinary college students. Based on the ESP-MESH network, the lower computer realizes automatic networking between devices and tests the performance of the mesh network. Fourteen male college students received 9 weeks of agility training, with seven students in each of two groups: traditional agility training and agile equipment training. The researchers evaluated the performance of both groups in rapid disguise, body coordination, changing movements, and predictive decision-making.ResultsThere was no significant difference between the groups before training, but there were significant differences in the four abilities after training (p < 0.01). The experimental group had significant differences in rapid direction change and physical coordination (p < 0.05), and in changing movement and predictive decision-making ability (p < 0.01).ConclusionBoth traditional training and agile equipment training improve the agility quality of college students, and the latter shows better results in certain abilities. However, limited by other physical qualities, the improvement of motor changes and predictive decision-making ability is not as obvious as the other two abilities.

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Study and Design of Distributed Badminton Agility Training and Test System

Cited by 7 publications

References 26 publications

Wireless Mesh Network and Its Application in Sports Agility Tests

Wireless Mesh Network and Its Application in Sports Agility Tests

Agility Test Innovation on Special Badminton Athletes for the Junior Category (U17): Validity and Reliability

Research on the development and testing methods of physical education and agility training equipment in universities

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