Implementation of virtual reality technology for sports education and training: Systematic literature review

Putranto, Jessica Sharon; Heriyanto, Jonathan; Kenny,; Achmad, Said; Kurniawan, Aditya

doi:10.1016/j.procs.2022.12.139

Cited by 46 publications

(17 citation statements)

References 19 publications

Supporting

Mentioning

Contrasting

Order By: Relevance

“…Furthermore, several studies that have been carried out show that the use of technology in Football has a very close role in the current 5.0 era (Putranto et al, 2023: Baerg, 2017. This certainly has a direct impact on the way policymakers make decisions in every aspect of the sport of Football, the direct impact felt from using sports technology such as Referees, Coaches, and Clubs (Frevel et al, 2022) participants as a whole since 2021, where it is pretty slow for countries that want to improve the quality and achievements of their Football (Meng et al, 2020).…”

Section: Discussionmentioning

confidence: 99%

“…8 (Rein & Memmert, 2016) Big Data and technology can help address issues for coaches and technical directors and help develop theoretical models for tactical decisionmaking in sports teams. 9 (Putranto et al, 2023) Virtual Reality (VR) has been implemented in sports education and training today. This can significantly contribute to and improve decision-making for athletes about the conditions that may be encountered, such as predictions.…”

Section: Methodsmentioning

confidence: 99%

See 1 more Smart Citation

Application of Big data in football in Indonesia: Systematic Review

Ramadan

Samin

2022

JUARA

View full text Add to dashboard Cite

The purpose of this study is to review articles that are carried out systematically and qualitatively synthesized on the application of football sports technology. The research method carried out by conducting a limited search is on research published in the article search period 2017 to 2022 by following prism guidelines, the search is carried out by systematically identifying 155 publications that undergo a review of the title, abstract, or full text. Studies are issued if the article is not in English or does not include the original data. The results of a systematic review found 10 articles that met the eligibility criteria, based on self-reported data that in Indonesia the use of sports technology in football has not been thoroughly used in every aspect of the football organization and there is a need to secure goals related to the use of technology as a whole to advance Indonesian football. The conclusion of this study is that there are still many factors that cause technology and bigdata to be used thoroughly in football.

show abstract

Section: Discussionmentioning

confidence: 99%

Section: Methodsmentioning

confidence: 99%

Application of Big data in football in Indonesia: Systematic Review

Ramadan

Samin

2022

JUARA

View full text Add to dashboard Cite

show abstract

“…This feedback may be delivered through visual displays, audio cues, or digital interfaces, allowing participants to immediately assess their performance and make necessary adjustments [8]. By offering instant feedback, the system fosters rapid skill acquisition and promotes continuous improvement among players [9].The system incorporates performance analysis tools to evaluate player and team performance over time. These tools leverage data collected during drills and scrimmages, such as player movement patterns, shooting percentages, defensive efficiency, and teamwork dynamics.…”

Section: Introductionmentioning

confidence: 99%

“…Putranto et al (2023) conduct a systematic literature review on the implementation of virtual reality technology for sports education and training, shedding light on emerging trends and best practices Kumar and Worsley (2023). propose "Scratch for Sports," a platform that utilizes athletic drills as a means to develop AI-driven applications, offering a novel approach to sports training and technology integration.…”

mentioning

confidence: 99%

Design and Application of Basketball Tactical Drill System Based on Motion Trajectory Analysis Algorithm

Yan

2024

jes

View full text Add to dashboard Cite

A basketball tactical drill system based on motion trajectory analysis algorithms employs advanced computational methods to enhance training effectiveness and strategy development. By utilizing these algorithms to analyze player movements and interactions during drills, coaches can gain valuable insights into team dynamics, spatial awareness, and decision-making processes. This analysis enables coaches to tailor drills to specific tactical objectives, such as improving defensive rotations, offensive spacing, or fast break execution. Additionally, the system can provide real-time feedback to players, helping them understand their positioning and movement patterns to refine their skills and decision-making abilities. This paper presents the design and implementation of a Basketball Tactical Drill System leveraging advanced object detection and motion trajectory analysis algorithms. The system aims to enhance basketball training by providing coaches and players with real-time insights into tactical drills and player performance. Two key algorithms, Mean-Shift and Difference Object Detection with Motion Trajectory (DOD-MT), are utilized to accurately identify and track basketballs, players, and other relevant objects during training sessions. Experimental results demonstrate the effectiveness of the proposed system, showcasing high detection accuracy, minimal false positives, and competitive processing times across various scenarios and tactical drills. The system leverages Mean-Shift and Difference Object Detection with Motion Trajectory (DOD-MT) algorithms to achieve exceptional detection accuracy, with an average of 93% across various scenarios and tactical drills. False positives are minimized, with an average of 12 per scenario. Processing times remain competitive, averaging 27 milliseconds per scenario. Integration of motion trajectory analysis provides coaches with invaluable real-time insights into player movements and interactions, facilitating data-driven coaching strategies. The system's versatility is demonstrated through successful application in a range of drills, resulting in performance improvements averaging 20%.

show abstract

“…Technology has rapidly evolved and is being incorporated into various fields of investigation including sports [ 1 , 2 ]. Amongst the different areas of technology, digital video modeling, which mainly focuses on social and observational learning theory [ 3 , 4 ] is increasingly attracting interest in varieties of sports studies [ 5 , 6 , 7 ].…”

Section: Introductionmentioning

confidence: 99%

Effectiveness of Video Modeling in Improving Technical Skills in Young Novice Basketball Players: A Quasi-Experimental Study

et al. 2023

View full text Add to dashboard Cite

(1) Objective: This is a quasi-experimental study that investigated the effect of four weeks of training sessions using video modeling (VM) on individual and collective technical skills in young novice basketball players. (2) Method: 20 players were equally assigned to either a control group (CG, n = 10; 12 ± 0.7 years) or a video modeling group (VMG, n = 10; 12.5 ± 0.5 years; visualizing videos before each session) were assessed before and after the four-week training period using the Basketball Skill Test of the American Alliance for Health, Physical Education, Recreation and Dance for individual techniques and three vs. three small-sided games for collective aspects. (3) Results: For the passing test, VMG induced higher performance than CG (p = 0.021; d = 0.87). For offensive balls post-intervention, higher values were recorded for VMG compared to CG (p = 0.003; d = 1.81). In addition, the number of attack balls index post-intervention was higher for VMG compared to CG (p = 0.001; d = 0.28). For losing the ball, VMG induced lower values than CG after the training intervention (p < 0.001; d = −3.23). The efficiency index was higher post-training compared to pre-training for VMG (p = 0.013; d = 1.24). (4) Conclusion: The study highlighted the importance of using video modeling as an effective strategy to improve technical skills and collective performance in novice young basketball players.

show abstract

Implementation of virtual reality technology for sports education and training: Systematic literature review

Cited by 46 publications

References 19 publications

Application of Big data in football in Indonesia: Systematic Review

Application of Big data in football in Indonesia: Systematic Review

Design and Application of Basketball Tactical Drill System Based on Motion Trajectory Analysis Algorithm

Effectiveness of Video Modeling in Improving Technical Skills in Young Novice Basketball Players: A Quasi-Experimental Study

Contact Info

Product

Resources

About