The Analysis of Basketball Free Throw Trajectory using PSO Algorithm

Lenik, Paweł; Krzeszowski, Tomasz; Przednówek, Krzysztof; Lenik, Justyna

doi:10.5220/0005611002500256

Cited by 3 publications

(2 citation statements)

References 15 publications

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“…It is really difficult to rate because it is only a visual observation. For this reason, every year, we have many new studies concerning the automatic and semi-automatic analyses of movement in sport [4,[12][13][14][15][16][17]. For example, Rahma et al [13] have developed a system to automatically analyse a basketball player's free throw using recorded video sequences.…”

Section: Introductionmentioning

confidence: 99%

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A System for Analysing the Basketball Free Throw Trajectory Based on Particle Swarm Optimization

et al. 2018

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This paper describes a system for the automatic detection and tracking of a ball trajectory during a free throw. The tracking method is based on a particle swarm optimization (PSO) algorithm. The proposed method allows for the measurement of selected parameters of a basketball free throw trajectory. Ten parameters (four distances, three velocities, and three angle parameters) were taken into account. The research material included 200 sequences captured by a 100 Hz monocular camera. The study was based on a group of 30 basketball players who played in the Polish Second Division during the 2015/2016 season and the Youth Polish National Team in 2017. The experimental results showed the differences between the parameters in both missed and hit throws. The proposed system may be used in the training process as a tool to improve the technique of the free throw in basketball.

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Section: Introductionmentioning

confidence: 99%

“…The paper is an extension of a conference paper [15]. In relation to the aforementioned paper, the developed system has been significantly improved (automatic redetection of the lost ball has been added).…”

Section: Introductionmentioning

confidence: 99%

A System for Analysing the Basketball Free Throw Trajectory Based on Particle Swarm Optimization

et al. 2018

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Automatic Bi-LSTM Architecture Search Using Bayesian Optimisation for Vehicle Activity Recognition

Radhakrishnan,

AlZoubi

2023

Communications in Computer and Information Science

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Improving Effectiveness of Basketball Free Throws through the Implementation of Technologies in the Technical Training Process

2023

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The aim of the study was to implement a specific training program to improve basketball free throws by using an innovative system called “system and technical device designed for motor learning process in the field of sports science and physical education with direct applicability in basketball specific training-free throw improvement”, as well as to evaluate the level of free throw effectiveness. We also aimed to highlight the differences in progress between the experimental and control groups for three age categories U14, U16, and U18 male juniors. The system and the device for detecting the ideal trajectory of the ball were provided by a high-speed video camera which captured the images and projected them in real-time onto a projection surface that was placed in front of, or to the side of the athlete, depending on the subject’s preference, provided that this projection surface is in the performer’s field of vision. The research took place from April 5th to July 10th 2021 and phased as follows: initial testing, implementation of the experimental 12-week free-throw training program (one individualized training session per week lasting 120 min), and final testing. The study included 360 subjects aged 13–14 years, who were grouped according to gender and team sport played. The evaluation was done by three tests: the FRB test (standardized test), the Shoot-Run test, and the 10 experimental throws test. The results of the study in all three motor tests showed that by implementing the innovative system that was designed for motor learning, the effectiveness of free throw shooting improved significantly in the players of the experimental groups in all age groups (U14, U16, U18), thus evidencing a positive, upward dynamic in relation to the increasing age category. In all three motor tests, the progress of the experimental groups was superior to the control groups as a result of the implementation of the experimental exercise program using the innovative system and device that was designed to improve free throws. The results of the study highlighted the effectiveness and opportunity of the implementation of innovative technologies in the process of training and evaluation of basketball specific free throws.

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The Analysis of Basketball Free Throw Trajectory using PSO Algorithm

Cited by 3 publications

References 15 publications

A System for Analysing the Basketball Free Throw Trajectory Based on Particle Swarm Optimization

A System for Analysing the Basketball Free Throw Trajectory Based on Particle Swarm Optimization

Automatic Bi-LSTM Architecture Search Using Bayesian Optimisation for Vehicle Activity Recognition

Improving Effectiveness of Basketball Free Throws through the Implementation of Technologies in the Technical Training Process

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