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The objectives of this paper are to explore the correlation of kinetic indices of SJ (squat jump) and CMJ (counter-movement jump) and the differences of lower limb strength mechanics indexes of table tennis, badminton and tennis players under SJ and CMJ. This study included 60 male collegiate athletes, 20 each from table tennis, badminton, and tennis. Subjects performed SJ and CMJ tests on a force platform and the vertical jump data were analyzed. Table tennis, badminton and tennis players demonstrated significant differences in the SJ and CMJ assessments. Badminton players outperformed table tennis players in terms of peak power (PP) (p = 0.005) and peak velocity (PV) (p = 0.017). Badminton players beat table tennis players in PV (p = 0.028), PP (p = 0.022), fast twitch fibers (FTF) (p = 0.033) and pre-stretch effect (EP) (p = 0.0004). Tennis players exhibited lower peak force (PF) (p = 0.006) indicators than badminton players. For athletes in all three sports, the SJ test markers (vertical jump displacement, PF, PP and PV) demonstrated a strong positive correlation. There was a highly significant positive correlation between VJD and PF, PP, PV and FTF among badminton players. Significant positive connections were discovered between PF, PP, PV, FTF and EP, as well as between PP and PV and FTF and EP. PV and FTF had a very strong positive correlation, as did EP, PV and FTF. College badminton players had higher vertical jumps than table tennis and tennis players. In addition to vertical jump height, PP (power production), PV (power velocity) and FTF (force-time factors) are important markers for assessing the success of vertical jumps in athletes’ daily training. These findings can assist coaches and athletes develop better vertical jump training programs.

This paper presents a low-cost, portable, multi-view table tennis umpiring framework, as a viable alternative to the current expensive systems which are almost exclusively restricted to elite professional sports. Table tennis has been selected as the sport to evaluate this framework primarily because it comprises many different complex match elements, including the service, return and rally elements, which are governed by a strict set of regulations which need to be umpired. The aim is to develop novel methods to analyse and judge the legality of such key match facets, with ball detection and tracking in video frames being integral to reliably and accurately determining the ball's position and flight path during rallies. While a low-cost option is attractive and offers several benefits, it is a technically challenging problem due to the small number and generally low-resolution cameras that are used. A novel multi-view camera setup and multi-agent system (MAS) framework is presented, which comprises computationally lightweight agents which detect and track the table tennis ball, create a 3D representation of the flight path of the ball, predict the ball's trajectory, and identify and analyse key facets in a table tennis rally. The MAS correctly detects all state transitions in seven test table tennis sequences with minimal latency and while the processing rate of a standard computer may be unable to analyse long rallies in real time, the potential of running the MAS on a parallel architecture is a propitious alternative. The MAS is also scalable, enabling additional camera pairs to be deployed to achieve enhanced accuracy and coverage. The framework affords the potential to reform the way matches are umpired, especially for amateur players, providing an economic and objective manner of dispute resolution, while the multi-view facility is extendible to other relevant ball-based sports. The ball flight path analysis mechanism can be exploited as a valuable training tool for skill development. [ABSTRACT FROM AUTHOR]

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Background: Many high-performance table tennis specialists and athletes may wonder if there are differences between the two most used technical-tactical elements in attack and which are these, given that their name and the biomechanical execution are characterized by approximately similar landmarks. Knowing the differences between the two technical elements, we will be able to understand and streamline the execution biomechanics. The biomechanical analysis of a large number of athletes on the three stages of execution and speed developed at the time of using topspin or retopspin (counter loop). Methods: The research engaged several 10 Romanian sportswomen involved in high-performance table tennis, with ages between 13-15 years old. Goal: Identify the distinctive biomechanical features between the two elements and the speed needed for execution optimization. Results: For data collection, analysis, and interpretation, we used Excel, IBM SPSS Statistics 23, analysis software Dartfish 360s, and for the technical-tactical expression level ‘’Topspin with crosswise retopspin, forehand, and backhand’’, “Butterfly” and “Multiball training”. Conclusions (4): The preparation of the forehand topspin hit requires an angle of 146.36 degrees(0) and 0.36 seconds(s) for the entire execution, while the forehand retopspin is 134.20 and 0.31 s, backhand topspin hit requires an angle of 920 and 0.32 s, while the retopspin 86,720 and 0.26 s for the entire execution. [ABSTRACT FROM AUTHOR]