Improving anaerobic capacity of basketball athletes using 3x3 small-sided game

Zamzami, Iman Sulaiman; Solahuddin, Soleh; Widiastuti, Widiastuti; Tangkudung, James; Pradityana, Karisdha

doi:10.29407/js_unpgri.v6i1.13651

Cited by 2 publications

(2 citation statements)

References 18 publications

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“…A quantitative comparison is made between the suggested method and cutting-edge techniques to verify its validity. The experimental outcomes are depicted in figure 3; the contrasted approaches include LRCN [34], ALSTM [35], VideoLSTM [36], and CHAM [37]. When compared to previous approaches, the ARBIGNet suggested in this study can reach 90.5% mAP and 96.5% accuracy, which may be enhanced to varied degrees, demonstrating its superiority.…”

Section: Results and Findingsmentioning

confidence: 85%

The Application of Artificial Intelligence and Big Data Technology in Basketball Sports Training

2023

EAI Endorsed Scal Inf Syst

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INTRODUCTION: Basketball involves a wide variety of complex human motions. Thus, recognizing them with Precision is essential for both training and competition. The subjective perceptions and experiences of the trainers are heavily relied upon while training players. Big data and Artificial Intelligence (AI) technology may be utilized to track athlete training. Sensing their motions may also help instructors make choices that dramatically improve athletic ability. OBJECTIVES: This research paper developed an Action Recognition technique for teaching basketball players using Big Data, and CapsNet called ARBIGNet METHODS: The technique uses a network that is trained using large amounts of data from basketball games called a Whale Optimized Artificial Neural Network (WO-ANN) which is collected using capsules. In order to determine the spatiotemporal information aspects of basketball sports training from videos, this study first employs the Convolution Random Forest (ConvRF) unit. The second accomplishment of this study is creating the Attention Random Forest (AttRF) unit, which combines the RF with the attention mechanism. The study used big data analytics for fast data transmissions. The unit scans each site randomly, focusing more on the region where the activity occurs. The network architecture is then created by enhancing the standard encoder-decoder paradigm. Then, using the Enhanced Darknet network model, the spatiotemporal data in the video is encoded. The AttRF structure is replaced by the standard RF at the decoding step. The ARBIGNet architecture is created by combining these components. RESULTS: The efficiency of the suggested strategy implemented on action recognition in basketball sports training has been tested via experiments, which have yielded 95.5% mAP and 98.8% accuracy.

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Section: Results and Findingsmentioning

confidence: 85%

The Application of Artificial Intelligence and Big Data Technology in Basketball Sports Training

2023

EAI Endorsed Scal Inf Syst

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“…The increase in anaerobic capacity varies depending on the modification used (Zamzami et al, 2020). 3x3 games are useful for increasing anaerobic capacity.…”

Section: Introductionmentioning

confidence: 99%

The Effect of High Intensity Interval Training (HIIT) Training Method Using Elevation Training Mask (ETM) on Anaerobic Capacity

Nurjaya

Septina

Purnamasari

et al. 2021

Compet. J. Pendidik. Kepelatihan Olahraga

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This study aims to determine the effect of the high-intensity interval training method using an elevation training mask on anaerobic capacity. This research uses an experimental method of One-Group Pretest-Posttest Design. The sample consisted of 10 student-level athletes in one of the women's futsal clubs. The test instrument used was the running-based anaerobic sprint test—data analysis using non-parametric statistics. The results showed that the paired-sample t-test had a sig value. Of 0.016 so it can be concluded that there is an effect of high-intensity interval training using an elevation training mask on the increase in anaerobic capacity.

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Improving anaerobic capacity of basketball athletes using 3x3 small-sided game

Cited by 2 publications

References 18 publications

The Application of Artificial Intelligence and Big Data Technology in Basketball Sports Training

The Application of Artificial Intelligence and Big Data Technology in Basketball Sports Training

The Effect of High Intensity Interval Training (HIIT) Training Method Using Elevation Training Mask (ETM) on Anaerobic Capacity

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