Proposal of an Identification Method for Over‐the‐Table Stroke Types in Table Tennis

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ABSTRACT This paper proposes an automated method for identifying over‐the‐table stroke types in table tennis using image processing. In table tennis, stroke types, such as high‐speed type (chiquita, flick), stop type (stop), and deep return type (push, flow, etc.), performed near the table are crucial for gaining advantage, yet their analysis is time‐consuming and often subjective. Our proposed method employs YOLOv8 to detect players, table, and ball from standard match footage, and then identifies bounce points to distinguish over‐the‐table techniques from other strokes. The identification algorithm analyzes ball trajectory, bounce positions, and stroke speed to categorize stroke types, with machine learning methods achieving superior performance. Additionally, the method classifies forehand and backhand drives by analyzing player posture at the moment of striking. Experiments on World Table Tennis match videos showed high accuracy: 99.6% for table detection, 96.1% for ball detection, and 89.9% for bounce point detection. The identification of over‐the‐table stroke types achieved 85.1% accuracy using machine learning methods, while forehand and backhand drives were correctly classified at 90.2% accuracy using rule‐based methods. This automated system provides coaches and players with an objective and efficient tool for analyzing technical performance in table tennis.

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Energetic demand and physical conditioning of table tennis players. A study review
  • Jun 5, 2017
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  • Research Article
  • Cite Count Icon 42
  • 10.3390/ijerph182412906
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  • International Journal of Environmental Research and Public Health
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Is holistic focus of attention equally effective to external focus in performing accuracy of table tennis forehand stroke in low-skilled players?
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  • BMC Sports Science, Medicine and Rehabilitation
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  • BMC Sports Science, Medicine and Rehabilitation
  • Cong Ding + 5 more

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  • Daniel P R Santos + 5 more

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  • 10.1080/00222895.2022.2060929
Quiet Eye as a Mechanism for Table Tennis Performance under Fatigue and Complexity
  • Mar 31, 2022
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  • Andrada Vincze + 1 more

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  • 10.1080/24748668.2019.1621673
Analysis of reaction time and lateral displacements in national level table tennis players: are they predictive of sport performance?
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  • International Journal of Performance Analysis in Sport
  • Carlos Castellar + 4 more

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  • Research Article
  • Cite Count Icon 2
  • 10.13189/saj.2023.110121
Validity and Reliability of Table Tennis Performance Measuring Eye-Hand Coordination
  • Feb 1, 2023
  • International Journal of Human Movement and Sports Sciences
  • Bandi Utama + 4 more

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  • Research Article
  • Cite Count Icon 13
  • 10.3389/fpsyg.2019.00427
Reproducibility and Validity of a Stroke Effectiveness Test in Table Tennis Based on the Temporal Game Structure.
  • Feb 28, 2019
  • Frontiers in Psychology
  • Taisa Belli + 7 more

Purpose: This study aimed to develop a stroke effectiveness test in table tennis based on the temporal game structure to assess the ball speed and ball placement of the players, with a purpose to analyze its reproducibility and validity.Methods: Nineteen male table tennis players participated in this study. The test was performed twice during the first session and once during the second session to assess the intrasession and intersession reproducibility, respectively. Moreover, the test was examined on its ability to discriminate between regional (n = 10) and local performance-level (n = 9) players and on the relationship between the test results and the table tennis performance to assess the discriminant and concurrent validity, respectively. In general, the test consisted of 11 simulated rallies of 2–5 balls with the effort and rest ratio of 0.5, and focused on attack with offensive strokes at defensive balls delivered by a robot randomly between the left and right positions on the table.Results: Ball speed, ball placement, and ball speed-ball placement index showed satisfactory reliability (ICC range 0.78–0.96, P < 0.05) and agreement (CV range 2.7–16.2%) outcomes. Additionally, the Bland–Altman plots show the systematic error of the analyses closer to 0, and that most values were within the limits of agreements. Concerning validity analyses, regional players had higher scores of ball placement (+51.3%; P = 0.01, ES = 1.33) and ball speed-ball placement index (+56.1%; P = 0.0009, ES = 1.87) as well as made fewer errors (-25.4%; P = 0.017, ES = 1.20) than local players. Moreover, ball placement (r = -0.79, P = 0.04), ball speed-ball placement index (r = -0.78, P = 0.04), and percentage error (r = 0.88, P = 0.01) presented a strong and significant correlation with table tennis performance. However, ball speed was slightly different between the regional than local players (+1.7%; P = 0.78, ES = 0.13) and this variable was not related to table tennis performance (r = 0.32, P = 0.49).Conclusion: Our findings show evidences that the test is reproducible. Moreover, discriminant and concurrent validity are confirmed for ball placement and ball speed-ball placement index.

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  • 10.1016/j.scispo.2013.08.001
Analysis of cardiopulmonary and metabolic variables measured during laboratory and sport-specific incremental tests for table tennis performance prediction
  • Nov 27, 2013
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  • A.M Zagatto + 4 more

Analysis of cardiopulmonary and metabolic variables measured during laboratory and sport-specific incremental tests for table tennis performance prediction

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