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Introduction. The purpose of this study was to assess the effectiveness of elastic band exercises programme in assisting the training of amateur tennis players. Material and Methods. Study participants comprised 22 male amateur tennis players (participating in a minimum of two training sessions per week) aged 40-60. The participants were divided into two equal groups. Subjects from Group 1 were engaged in elastic band exercises after the main training. Prior to each intervention, the movement range of the shoulder joint and the velocity and precision of the service were measured (via the ITF test). The measurements were repeated after four weeks. Group 2 (control) underwent the same measurements but they did not perform any additional exercises. Differences between the results of individual measurements were determined using the Wilcoxon matched-pairs test, and differences between the groups were determined using the Mann–Whitney U test, with a level of significance of p ≤ 0.05. Results. Group 1 showed a significant improvement in service precision (p < 0.001). In Group 2, the results of both measurements were similar. Group 1 showed a lower service speed at the beginning, but after four weeks the progress was statistically significant (p < 0.001). Group 1 also showed a significant improvement in the movement range of the shoulder joint, albeit only on their dominant side. Conclusions. The elastic band exercises may improve the velocity and precision of the service in tennis. The use of the aforementioned method to assist in the training of tennis players seems justified. [ABSTRACT FROM AUTHOR]

This study aimed to assess the effectiveness of online emotional competencies (EC) training, and more specifically the relationships between adherence, confidence, and alliance and the effects of mental training on EC. A longitudinal four-wave measurement design (pre-intervention, post-knowledge development, post-abilities development, and post-disposition phase) was used in the present study. An experimental group (n = 20) received a specific EC training intervention, whereas the control group (n = 20) did not receive this intervention program. These two groups completed self-report questionnaires assessing emotional regulation and EC across four measurement times. Participants of the intervention group also completed a questionnaire measuring the adherence, confidence, alliance between practitioner and athlete. Results of repeated measure ANOVAs showed that the level of EC increased significantly in the intervention group but not in the control group. Moreover, correlation analyses highlighted significant relationships between the scores of adherence, confidence, alliance between the practitioner and the tennis player, and the scores difference of EC between before and after intervention. These outcomes suggest the possibility of improving EC with an online intervention. The online device did not affect the quality of the alliance between the practitioner and the intervention participant. Furthermore, the results showed that a high level of alliance, confidence, and adherence was associated with an improvement in emotional intelligence. This online program would serve psychologists and mental trainers to use an intervention to develop EC adapted to the constraints of the localisation of athletes. [ABSTRACT FROM AUTHOR]

Purpose: Bone growth with exercise is best assessed by tennis-induced inter-arm asymmetries. Yet, the effects of training and maturation across puberty were unclear. This study explored arm bone growth across 9 months of training in 46 tennis players 7–14 years (25 boys, 21 girls). Methods: Bone mineral content (BMC) and bone area (BA) were measured from DXA scans. Pubertal status was assessed by Tanner stage (TS) and somatic growth by maturity offset (MO). Children were grouped as pre- (TS I–I), early (TS I–II), and mid/late pubertal (TS II–III). Results: Training time (TT) change in the three groups was 160–170, 190–230, and 200–220 h, respectively. Bone asymmetries were large in all groups (d > 0.8, P < 0.001): 5–18 g (9–21%) and 9–17 g (17–23%) in girls and boys, respectively, for BMC, and 5–15 cm2 (6–13%) and 9–15 cm2 (12–15%) in girls and boys (10–13%), respectively, for BA. BMC and BA change asymmetry peaked at pre-puberty in girls (56%, 46%) and at early puberty in boys (57%, 43%). Asymmetry gains varied with baseline asymmetry (41%) and change in TT (38%) and TS (17%) in BMC, and with baseline asymmetry (58%) and change in MO (17%) and TS (12%) in BA. Conclusion: All bone asymmetries were substantial. Tennis-induced bone gains were higher at pre- to early puberty in girls and at early to mid/late puberty in boys. Training enhanced mostly bone mass and maturity status enhanced mostly bone size; sex was not bone-change modeling impactful. Implications are discussed considering certain limitations. [ABSTRACT FROM AUTHOR]

The study aimed to (i) verify the effects of an on-court training program on the International Tennis Number (ITN) of young tennis players, as well as on a set of change of direction, linear sprint, and maximal oxygen uptake (VO2max) variables, and (ii) identify the main predictors of ITN. The sample consisted of 20 young male tennis players (mean age, 13.62 ± 0.23 years). Players underwent a 6-week on-court training program. The ITN and a number of change of direction variables (T-drill and repeated sprint ability), linear sprint (5 m, 10 m, and 20 m distances), and VO2max were measured. All variables improved significantly between the pre- and posttest (p < 0.001). The ITN (7.98 ± 6.06%, d = 0.82) and VO2max (6.77 ± 1.21%, d = 1.53) showed the greatest relative improvement with moderate to large effect sizes. The hierarchical linear model retained the time (estimate = 18.90, p < 0.001) and the T-drill (estimate = -64.77, p < 0.001) as significant predictors of the ITN. This indicates that the ITN improved significantly over the 6-week training program and that the T-drill test was the best and most significant predictor. Coaches and researchers are encouraged to monitor the ITN along with other physical fitness and technical variables. They can also use the T-drill test to understand the ITN of their players. [ABSTRACT FROM AUTHOR]

The serve is the most important stroke in tennis. It is a complex gesture consisting of numerous rotations with a wide amplitude, which are important to manage for performance. The aim of this study was to investigate whether correlations exist between joint kinematic parameters and racket velocity. A quantitative kinematics analysis of four ranked players (two boys and two girls) was carried out using an optoelectronic system composed of 10 cameras (150 Hz). Five flat serves per player were analyzed. Eighty-two markers were located across the 15 body segments and on the racket. A descriptive statistical analysis including a correlation analysis was carried out between joint angles and racket kinematic parameters (vertical position, velocity, and acceleration) during the cocking and acceleration phases. Ten very high (0.7 < r < 0.9) and three almost perfect (r > 0.9) correlations were found. Shoulder and hip axial rotations, knee flexion, and trunk extension were correlated linearly with racket vertical position and velocity during the cocking phase. For the acceleration phase, elbow flexion, trunk flexion/extension, and trunk axial rotation were linked to racket kinematics. Some of these parameters showed differences between slow and fast serves. These parameters, which are involved in transmitting ball velocity, are important to consider for tennis players and coaches in training programs, education, and performance enhancement. [ABSTRACT FROM AUTHOR]

With the popularization and development of table tennis, the demand for health management and exercise status monitoring of table tennis players is increasing day by day. However, most of the current table tennis player health monitoring systems are based on traditional sensor technology, which has problems of complexity and high maintenance cost. The aim of this study is to design a real-time health monitoring and prediction system for table tennis players based on optical sensor network. In this study, optical sensors were used as monitoring means to measure the temperature, heart rate and movement posture of table tennis players, and to analyze the changes of physiological parameters of table tennis players in different training environments. At the same time, the optical detection sensor network is designed and implemented for real-time monitoring and data collection of table tennis players. Through experiments and data analysis, the system can accurately and real-time monitor and predict the health status of table tennis players. The system can detect the fatigue level, abnormal heart rate and wrong posture of table tennis players in time, and provide corresponding warnings and suggestions. [ABSTRACT FROM AUTHOR]

The assessment of total energy expenditure (TEE) is imperative to ensure appropriate fuelling during competition and training, although the current lack of TEE research in para sport make the prescription of nutritional strategies challenging. This study aimed to assess TEE of an elite wheelchair tennis (WT) player during training and competition of the highest level. One male WT player (age 23.6 years; career high World No. 1; body mass 65.7 kg; VO2max, 45.3 ml.kg−1.min−1) participated. Prior to the assessment, VO2max and maximum heart rate, resting metabolic rate, 10 m sprint speed and upper body skinfold measurements were made. Doubly labelled water assessed TEE during a 19-day period which included the Wimbledon Championships (5 days-3 matches), training (8 days) and the British Open (BO) (6 days-7 matches). Throughout data collection, the participant continued their usual training and preparation. During Wimbledon, TEE was 3118 kcal·d−1: 60.3 kcal·kg−1 FFM: PAL 2.0 and during BO was 3368 kcal·day−1: 65.1 kcal·kg−1 FFM: PAL 2.2. Mean daily activity was 124 mins and 132 mins, respectively. During training, TEE was 3177kcal·day-1: 61.4kcal·kg-1 FFM: PAL 2.0: mean daily activity was 138 mins. These findings show the TEE of an elite WT player captured during a period of training and high-level competition, alongside data outlining the physiological profile of a world-class para-athlete. [ABSTRACT FROM AUTHOR]

Tennis requires a high level of physical fitness, which requires the coordination and cooperation of all parts of the body. Sports injury is inevitable even for advanced professional students and athletes. Sports injury prevention has become an important task of tennis players' training and management. The aim of this paper is to explore a new method to prevent sports injury of tennis players based on optical imaging detection of cluster analysis. The optical imaging data of athletes are collected and processed by cluster analysis method. Firstly, image processing algorithm is used to extract feature points. Then cluster analysis method is used to cluster the feature points to obtain the movement characteristics of different parts of athletes. Finally, according to the obtained sports characteristics, a set of sports injury prevention strategy is designed. By training the sports data of different groups, the risk of Sports injury that athletes may face is predicted. The results show that the computer method of cluster analysis and Gaussian process regression can effectively predict the risk of Sports injury of tennis players, and provide corresponding prevention suggestions. This is of great significance to the management and training of tennis players, which helps to reduce the occurrence of Sports injury and improve the performance level and career durability of athletes. [ABSTRACT FROM AUTHOR]

Copyright of Gymnasium: Scientific Journal of Education, Sports & Health is the property of Alma Mater and its content may not be copied or emailed to multiple sites or posted to a listserv without the copyright holder's express written permission. However, users may print, download, or email articles for individual use. This abstract may be abridged. No warranty is given about the accuracy of the copy. Users should refer to the original published version of the material for the full abstract. (Copyright applies to all Abstracts.)

Copyright of Studia Universitatis Babes-Bolyai, Educatio Artis Gymnasticae is the property of Babes-Bolyai University, Cluj-Napoca, Romania and its content may not be copied or emailed to multiple sites or posted to a listserv without the copyright holder's express written permission. However, users may print, download, or email articles for individual use. This abstract may be abridged. No warranty is given about the accuracy of the copy. Users should refer to the original published version of the material for the full abstract. (Copyright applies to all Abstracts.)

Copyright of Retos: Nuevas Perspectivas de Educación Física, Deporte y Recreación is the property of Federacion Espanola de Asociaciones de Docentes de Educacion Fisica and its content may not be copied or emailed to multiple sites or posted to a listserv without the copyright holder's express written permission. However, users may print, download, or email articles for individual use. This abstract may be abridged. No warranty is given about the accuracy of the copy. Users should refer to the original published version of the material for the full abstract. (Copyright applies to all Abstracts.)

Objective: Talented junior tennis players are exposed to high training loads and congested competition schedules. Understanding the demands of training and competition is important to prescribe training and recovery programmes that optimise performance. The purpose of this study was to systematically review and appraise the literature available on training and match-play demands in an elite and highly trained junior tennis population to inform practice and future research opportunities. Methods: A systematic search of PubMed, SPORTDiscus and Scopus databases was conducted according to the PRISMA guidelines in November 2021. The following keywords were used: 'tennis', 'match-play', 'match', 'training', 'drill', 'practice', 'coaching', 'session', 'competition' and 'tournament'. Filters were applied to retrieve articles conducted on junior tennis players. Results: The search returned an initial 879 articles. Following the screening process, 21 articles were accepted for analysis. Articles were organised into four themes: training demands, match-play, court surface and recovery. Results highlighted that training sessions failed to induce the same physiological and perceptual demands imposed by tournament match-play. Rallies were 22% longer on clay courts, and associated with increased playing time, heart rate, blood lactate and ratings of perceived exertion compared with hard court surfaces. Competing in multiple matches per day negatively impacted performance indices including jumping, sprinting and change of direction. Increased ratings of muscle soreness, fatigue and pain were also reported. Conclusion: Additional work is warranted to substantiate these findings and determine the efficacy of current training strategies and competition demands imposed on elite and highly trained junior tennis players. [ABSTRACT FROM AUTHOR]

In China, table tennis has always been one of the most popular sports, with small field restrictions and it is simple and fun to play. But what is unknown is that with China's major table tennis events thriving, the psychological pressure of table tennis players' training is also increasing. However, the existing training methods obviously do not pay enough attention to psychological training, and there is no complete system for psychological training. Although the current dynamic heart rate measurement method can play a certain role in the detection, there is still the disadvantage of low detection accuracy. The heart rate is an important sign of life, and the monitoring of the heart rate of table tennis players should be strengthened, reflecting the functional state of the athletes' heart, and facilitating the more intuitive adjustment of the psychological training method of athletes. The heart rate measurement method based on face recognition contains a plate content that is rich. Through deep learning face recognition, the heart rate measurement method has high calculation efficiency, can effectively eliminate the influence of other external environmental factors, can use video recording, and can use face recognition and physiological parameters' quantification to monitor athletes' heart rate changes in real time; the visible artificial intelligence auxiliary diagnosis potential is huge. To this end, this paper aims to provide effective suggestions for the psychological training of table tennis players with deep learning as the technical support. In response to this, the aim of this paper was to design a deep learning-based face recognition heart rate measurement method that judges the psychological fluctuations of athletes through changes in heart rate. We conducted a questionnaire survey with the table tennis players of the Hunan team as the object of investigation, so as to understand the source of the psychological pressure of athletes and make reasonable suggestions. The experimental results of this paper show that the heart rate error of the video heart rate measurement algorithm is within 3% in the calm state and within 4% in the post-exercise state. This can effectively measure psychological fluctuations, and through investigation and research, it can provide an effective method for the psychological training of table tennis players. [ABSTRACT FROM AUTHOR]

Copyright of Revista Brasileira de Medicina do Esporte is the property of Redprint Editora Ltda. and its content may not be copied or emailed to multiple sites or posted to a listserv without the copyright holder's express written permission. However, users may print, download, or email articles for individual use. This abstract may be abridged. No warranty is given about the accuracy of the copy. Users should refer to the original published version of the material for the full abstract. (Copyright applies to all Abstracts.)

Copyright of Revista Brasileira de Medicina do Esporte is the property of Redprint Editora Ltda. and its content may not be copied or emailed to multiple sites or posted to a listserv without the copyright holder's express written permission. However, users may print, download, or email articles for individual use. This abstract may be abridged. No warranty is given about the accuracy of the copy. Users should refer to the original published version of the material for the full abstract. (Copyright applies to all Abstracts.)

Copyright of Revista Brasileira de Medicina do Esporte is the property of Redprint Editora Ltda. and its content may not be copied or emailed to multiple sites or posted to a listserv without the copyright holder's express written permission. However, users may print, download, or email articles for individual use. This abstract may be abridged. No warranty is given about the accuracy of the copy. Users should refer to the original published version of the material for the full abstract. (Copyright applies to all Abstracts.)

Copyright of Revista Brasileira de Medicina do Esporte is the property of Redprint Editora Ltda. and its content may not be copied or emailed to multiple sites or posted to a listserv without the copyright holder's express written permission. However, users may print, download, or email articles for individual use. This abstract may be abridged. No warranty is given about the accuracy of the copy. Users should refer to the original published version of the material for the full abstract. (Copyright applies to all Abstracts.)

Copyright of Revista Brasileira de Medicina do Esporte is the property of Redprint Editora Ltda. and its content may not be copied or emailed to multiple sites or posted to a listserv without the copyright holder's express written permission. However, users may print, download, or email articles for individual use. This abstract may be abridged. No warranty is given about the accuracy of the copy. Users should refer to the original published version of the material for the full abstract. (Copyright applies to all Abstracts.)

Copyright of Revista Brasileira de Medicina do Esporte is the property of Redprint Editora Ltda. and its content may not be copied or emailed to multiple sites or posted to a listserv without the copyright holder's express written permission. However, users may print, download, or email articles for individual use. This abstract may be abridged. No warranty is given about the accuracy of the copy. Users should refer to the original published version of the material for the full abstract. (Copyright applies to all Abstracts.)

Copyright of Revista Brasileira de Medicina do Esporte is the property of Redprint Editora Ltda. and its content may not be copied or emailed to multiple sites or posted to a listserv without the copyright holder's express written permission. However, users may print, download, or email articles for individual use. This abstract may be abridged. No warranty is given about the accuracy of the copy. Users should refer to the original published version of the material for the full abstract. (Copyright applies to all Abstracts.)

Copyright of Revista Brasileira de Medicina do Esporte is the property of Redprint Editora Ltda. and its content may not be copied or emailed to multiple sites or posted to a listserv without the copyright holder's express written permission. However, users may print, download, or email articles for individual use. This abstract may be abridged. No warranty is given about the accuracy of the copy. Users should refer to the original published version of the material for the full abstract. (Copyright applies to all Abstracts.)

Copyright of Revista Brasileira de Medicina do Esporte is the property of Redprint Editora Ltda. and its content may not be copied or emailed to multiple sites or posted to a listserv without the copyright holder's express written permission. However, users may print, download, or email articles for individual use. This abstract may be abridged. No warranty is given about the accuracy of the copy. Users should refer to the original published version of the material for the full abstract. (Copyright applies to all Abstracts.)

Copyright of Revista Brasileira de Medicina do Esporte is the property of Redprint Editora Ltda. and its content may not be copied or emailed to multiple sites or posted to a listserv without the copyright holder's express written permission. However, users may print, download, or email articles for individual use. This abstract may be abridged. No warranty is given about the accuracy of the copy. Users should refer to the original published version of the material for the full abstract. (Copyright applies to all Abstracts.)

Copyright of Revista Brasileira de Medicina do Esporte is the property of Redprint Editora Ltda. and its content may not be copied or emailed to multiple sites or posted to a listserv without the copyright holder's express written permission. However, users may print, download, or email articles for individual use. This abstract may be abridged. No warranty is given about the accuracy of the copy. Users should refer to the original published version of the material for the full abstract. (Copyright applies to all Abstracts.)

This study evaluated the accuracy of tennis-specific stroke and movement event detection algorithms from a cervically mounted wearable sensor containing a triaxial accelerometer, gyroscope and magnetometer. Stroke and movement data from up to eight high-performance tennis players were captured in match-play and movement drills. Prototype algorithms classified stroke (i.e., forehand, backhand, serve) and movement (i.e., "Alert", "Dynamic", "Running", "Low Intensity") events. Manual coding evaluated stroke actions in three classes (i.e., forehand, backhand and serve), with additional descriptors of spin (e.g., slice). Movement data was classified according to the specific locomotion performed (e.g., lateral shuffling). The algorithm output for strokes were analysed against manual coding via absolute (n) and relative (%) error rates. Coded movements were grouped according to their frequency within the algorithm's four movement classifications. Highest stroke accuracy was evident for serves (98%), followed by groundstrokes (94%). Backhand slice events showed 74% accuracy, while volleys remained mostly undetected (41–44%). Tennis-specific footwork patterns were predominantly grouped as "Dynamic" (63% of total events), alongside successful linear "Running" classifications (74% of running events). Concurrent stroke and movement data from wearable sensors allows detailed and long-term monitoring of tennis training for coaches and players. Improvements in movement classification sensitivity using tennis-specific language appear warranted. [ABSTRACT FROM AUTHOR]

Copyright of Revista Brasileira de Medicina do Esporte is the property of Redprint Editora Ltda. and its content may not be copied or emailed to multiple sites or posted to a listserv without the copyright holder's express written permission. However, users may print, download, or email articles for individual use. This abstract may be abridged. No warranty is given about the accuracy of the copy. Users should refer to the original published version of the material for the full abstract. (Copyright applies to all Abstracts.)

Copyright of Revista Brasileira de Medicina do Esporte is the property of Redprint Editora Ltda. and its content may not be copied or emailed to multiple sites or posted to a listserv without the copyright holder's express written permission. However, users may print, download, or email articles for individual use. This abstract may be abridged. No warranty is given about the accuracy of the copy. Users should refer to the original published version of the material for the full abstract. (Copyright applies to all Abstracts.)

Topspin is one of the most widely used hitting techniques in a tennis match and it is an effective tool to win over the opponent. Hence, flight path simulation of a spinning ball can be a tremendous analysis tool to help tennis players perfect their game. This article proposes a fuzzy logic model based on the principles of kinematics and mechanics. This study analyzes the physical characteristics of a spinning ball during the flight process, which are divided into two categories: the characteristics of the ball on impact (including the floating and rotating it causes) and the landing rebound characteristics. These two characteristics are considered as the constraints of the flight path simulation and the inputs of the fuzzy logic model. Fuzzy logic is used to fuzzify the impact and landing rebound information of the ball based on the knowledge base, solve the problem, and finally defuzzify the results into crisp outputs, that is, accurate flight trajectory. The simulation results show that the estimation error of the proposed model is lower than 3.7 cm/s and 0.9°, and the success rate of accurate topspin execution is 100%, indicating that the proposed model is effective to train tennis players. [ABSTRACT FROM AUTHOR]

The purpose of this article is to present the use of a previously validated wearable sensor device, Armbeep, in a real-life application, to enhance a tennis player's training by monitoring and analysis of the time, physiological, movement, and tennis-specific workload and recovery indicators, based on fused sensor data acquired by the wearable sensor—a miniature wearable sensor device, designed to be worn on a wrist, that can detect and record movement and biometric information, where the basic signal processing is performed directly on the device, while the more complex signal analysis is performed in the cloud. The inertial measurements and pulse-rate detection of the wearable device were validated previously, showing acceptability for monitoring workload and recovery during tennis practice and matches. This study is one of the first attempts to monitor the daily workload and recovery of tennis players under real conditions. Based on these data, we can instruct the coach and the player to adjust the daily workload. This optimizes the level of an athlete's training load, increases the effectiveness of training, enables an individual approach, and reduces the possibility of overuse or injuries. This study is a practical example of the use of modern technology in the return of injured athletes to normal training and competition. This information will help tennis coaches and players to objectify their workloads during training and competitions, as this is usually only an intuitive assessment. [ABSTRACT FROM AUTHOR]

Background and Objectives: Table tennis represents one of the fastest ball games in the world and, as such, is characterized by unique physiological demands. Despite its popularity, there is a dearth of data related to table-tennis-related risk factors and injuries. Therefore, the present review was conducted to fill in this gap of knowledge. Material and Methods: The present review was designed as a scoping review. Eleven online databases were searched with no language/date limitations. Results: Forty-two investigations were retained in the present review. These studies indicated that tenosynovitis, benign muscle injuries, strains, and sprains were the most common injury types. In order, the most commonly affected anatomical regions were the lower limb, shoulder, spine, knee, upper limb, and trunk. When comparing the injury occurrence between training and competition, the results were contradictory. National/international athletes had higher indices of injury than regional players, even though other investigations failed to replicate such findings. According to some scholars, there was a difference between female and male athletes: in females, more injuries involved the upper limbs when compared to men who had more injuries to the lower limbs, while other studies did not find differences in terms of gender. Conclusions: Table tennis is generally considered at lower risk for injuries than other sports. However, the present scoping review showed that injuries can occur and affect a variety of anatomic regions. Sports scientists/physicians could utilize the information contained in the current review for devising ad hoc programs to adopt an effective/appropriate prevention strategy and to monitor table tennis players' training load and to achieve maximal fitness, as these will reduce the risk of injuries. However, most of the studies included in our scoping review are methodologically weak or of low-to-moderate evidence, being anecdotal or clinical case reports/case series, warranting caution when interpreting our findings and, above all, further high-quality research in the field is urgently needed. [ABSTRACT FROM AUTHOR]

The Internet of Things is an important link in the future development of the Internet and will have a significant impact on development over the next five years or so. The purpose of this article is to learn how to use the Internet of Things to learn and practice table tennis and find new ways to integrate table tennis and the internet. This article proposes to build a detection system for IoT sensors and collect information about the ball's movement state and the athlete's movement state during table tennis. Through data analysis, we better guide athletes to develop table tennis training. At the same time, it also uses knowledge innovation to integrate the Internet of Things with the reality of life and better derive the development of the Internet of Things artificial intelligence. Based on this, this paper designs the construction of IoT sensors to collect the sports status of table tennis enthusiasts and verify the sports experience of table tennis enthusiasts by comparing factors such as physical training, basic skills and mobile training, interest, and confidence. The experimental results of this article show that the Internet of Things artificial intelligence has great potential, and it can innovatively promote industrial change. It better realizes the teaching and training of table tennis players and improves the teaching and training ability of table tennis by 20%. [ABSTRACT FROM AUTHOR]

Copyright of Revista Brasileira de Medicina do Esporte is the property of Redprint Editora Ltda. and its content may not be copied or emailed to multiple sites or posted to a listserv without the copyright holder's express written permission. However, users may print, download, or email articles for individual use. This abstract may be abridged. No warranty is given about the accuracy of the copy. Users should refer to the original published version of the material for the full abstract. (Copyright applies to all Abstracts.)

Copyright of Revista Brasileira de Medicina do Esporte is the property of Redprint Editora Ltda. and its content may not be copied or emailed to multiple sites or posted to a listserv without the copyright holder's express written permission. However, users may print, download, or email articles for individual use. This abstract may be abridged. No warranty is given about the accuracy of the copy. Users should refer to the original published version of the material for the full abstract. (Copyright applies to all Abstracts.)

Copyright of Revista Brasileira de Medicina do Esporte is the property of Redprint Editora Ltda. and its content may not be copied or emailed to multiple sites or posted to a listserv without the copyright holder's express written permission. However, users may print, download, or email articles for individual use. This abstract may be abridged. No warranty is given about the accuracy of the copy. Users should refer to the original published version of the material for the full abstract. (Copyright applies to all Abstracts.)

This paper uses data mining technology to mathematically model the training movements of tennis players, establish a three-dimensional data information database of athletes utilizing depth imaging, analyze the data with data mining algorithms, and derive the results after comparative evaluation and analysis with a database of movement characteristics of tennis dribblers. This paper uses video observation and mathematical modeling to construct a tennis player training action evaluation model, which provides a reference basis for tennis players to improve and enhance their tactical level; it can also provide a reference for the development of sports training special theory of tennis projects and enrich the tactical diagnosis method of tennis matches. To improve the accuracy of 3D human pose estimation, this paper adopts a 3D skeleton point extraction method based on RGBD images; for the action alignment problem, this paper uses a dynamic time warping (DTW) algorithm; for the similarity measure, this paper gives a Pearson correlation coefficient method based on the joint point features of human parts. This paper aims to conduct a systematic theoretical analysis of tennis players' training movements based on theories and methods such as system science theory and social network analysis. On this basis, the characteristics of tennis training technology development are analyzed from a combination of qualitative and quantitative perspectives, while the development of tennis player training is explored based on tracking observations of tennis player movement training, and finally, the attack and service characteristics of tennis training are analyzed to better provide some reference for the sustainable development of tennis. [ABSTRACT FROM AUTHOR]

Copyright of Slobozhanskyi Herald of Science & Sport is the property of Kharkiv State Academy of Physical Culture and its content may not be copied or emailed to multiple sites or posted to a listserv without the copyright holder's express written permission. However, users may print, download, or email articles for individual use. This abstract may be abridged. No warranty is given about the accuracy of the copy. Users should refer to the original published version of the material for the full abstract. (Copyright applies to all Abstracts.)

Tennis players have more physical training content, and the training items are complex. For athletes, training programs that adapt to their individual characteristics should be formulated according to their physical characteristics. The current development of big data has brought about changes in thinking, management, and business models. The combination of complex systems and big data can also make breakthroughs in the sports field. Based on this, this article proposes a tennis player training schedule intelligent formulation system based on complex system big data. First of all, this article adopts the literature data method, comparative analysis method, experimental analysis method, etc., in-depth study of the concepts of big data, complex system, and the physical structure characteristics of tennis sports. This paper designs an intelligent system for making tennis players' training schedule, which collects, transforms, and integrates tennis training data through the characteristics of big data. Then, the dynamic time regulation of tennis is performed through a complex system, and finally, the experimental system is analyzed. This article mainly analyzes the comparison of physical indicators between the experimental group and the control group before and after the experiment, the evaluation indicators of sports events, the strength training effects of tennis events, and the analysis of shoulder joint tests. There is no significant difference between the experimental group and the control group in the items before the experiment, P > 0.05 , which suggests that the physical fitness of the two groups of athletes is similar; in the posttest data, the experimental group and the control group have significant differences, P < 0.05 , indicating an effect from the experiment. In particular, in fan running, forward and backward strokes, and the serve, the scores of the experimental group were higher than those of the control group, indicating that the use of the formulated training system demonstrated significant results. [ABSTRACT FROM AUTHOR]

The study aimed to identify the relationship between the speed and direction of the ball's rotation in the accuracy of the front and rear side longitudinal blow in wheelchair tennis players. The descriptive approach was used in the manner of correlations to suit the nature of the problem to be studied. The research community identified the 32 players aged18 and over, and the search sample was selected from players with a local classification registered with the 2020 Wheelchair Ground Tennis Federation (2020) in the intentional manner of 8 players, using Smart Tennis Sensor technology to measure the speed and direction of the ball and test the accuracy of the front and rear side longitudinal straight strike. She conducted the reconnaissance experiment and then the main experiment, and the results were collected and statistically treated by spss. The results obtained from Smart Tennis Sensor data show that these data are very important in measurement and training to give sufficient information about tennis strokes in terms of the speed of the ball's rotation and rotation direction. The researchers therefore recommend that this technique be adopted during training for wheelchair tennis players because this information gives immediate feedback to the variables of each strike and thus directs the player to better performance. [ABSTRACT FROM AUTHOR]

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The author proposes a new Paradigm for both research and practice regarding tennis. Sensorimotor Synchronisation (SMS) is the scientific field studying how people may synchronise their actions to an external stimulus (a pacer). SMS provides the most relevant set of concepts to tennis because synchronisation with both the ball and the opponent is the most decisive factor for performance: ball directionality, early preparation and economy of movement are all affected by good synchronisation skills but not so much by reaction time. In martial arts schools, synchronisation is the golden chalice of superior performance, which leaves many questions about the choices that have been made in tennis. Here, after a mini-review of SMS-related concepts and terms, an SMS application to tennis will be proposed and some drills will be described for the first time. Not all questions will or can be answered here, however a new Research Programme should be emerging: as is the case in all Programmes and Paradigms, they cannot be directly tested but they offer the background for specific experiments to follow. Tennis SMS is also compatible with bioinformatics since expert systems may be developed to both monitor and improve synchronicity. [ABSTRACT FROM AUTHOR]

The university graduates' professional insertion represents an important concern for the beneficiaries of the educational process in the contemporary society. The actuality of the problem increases once with the advantages that the university obtains them by applying mechanisms of evidence of the former students' employability. We have proposed an experimental-practical research, which addresses the problem of the relationship between the educational offer of the university and the labour market, aiming to improve the quality of the educational process by connecting it to social requirements. [ABSTRACT FROM AUTHOR]

Background. Emotional intelligence (EI) is most commonly studied based on the cognitive-emotional ability or trait emotional self-efficacy model (Siegling & Petrides, 2015). This study was based on the EI capability model. Research based on ability models measures a person's ability to solve emotional problems and assesses the ability to perform emotion-related tasks (Magrum, Waller, Campbell, & Schempp, 2019). The aim of this study was to reveal the expression of emotional intelligence in tennis players. Methods. To collect data, Schutte SSRI questionnaire survey was applied. Research participants were 99 tennis payers (55 men and 44 women, aged 15 to 65 years), including 85 amateurs and 15 professional players. Results. The comparison of mean scores for emotional intelligence according to gender showed that women had a statistically significantly higher score in other people's emotion management (3.8 ± 0.44) than men (3.6 ± 0.49) (t(97) = -2.116; p = .037). Age comparisons of emotional intelligence scores revealed a statistically significant better estimate among tennis players over the age of 41 (4.24 ± 0.53) than those under the age of 30 (3.78 ± 0.7) (p = .008). There were also statistically significant positive weak relationships between tennis player age and emotion utilization (r = .269; p = .007) and overall emotional intelligence rating (r = .211; p = .036). There were no statistically significant differences between the aspects of emotional intelligence in training duration (p > .05). Conclusions. It was found that women believed they were better able than men to manage other people's emotions, and the difference between women's and men's opinions was statistically significant (p < .05). Statistically significant positive correlations were revealed between the age of tennis players and the use of emotions (p < .01) as well as age and the general assessment of emotional intelligence (p < .05). This study did not reveal a significant relationship between the emotional intelligence of tennis players and the duration of training (p > .05). [ABSTRACT FROM AUTHOR]

Every day, tennis becomes an increasingly physical sport due to the equipment and the technology used in their construction. The material from which tennis rackets are made, the strings and balls currently used, gives the game a much higher speed. If at first, in tennis, the main skill was coordination I tend to think that nowadays the percentage of other skills, somehow balances the balance. In this paper I want to observe the difference between classical physics training and the modern method of "tennis 10" physics training in athletes 8-10 years old. [ABSTRACT FROM AUTHOR]

The purpose of the study was to determine whether multidimensional perceptual-cognitive skills training, including situational awareness, anticipation, and decision making, improves on-court performance in older adults when compared with a physical training program, including stroke and footwork development. Senior tennis players (N = 27) were randomly assigned to one of three groups: perceptual-cognitive skills training, technique-footwork training, or no training. Results indicated that participants receiving perceptual-cognitive skills training had significantly faster response speeds, higher percentage of accurate responses, and higher percentage of performance decision making in posttest match situations. Findings provide clear evidence that perceptual-cognitive skills can be trained in aged individuals. Implications and suggestions for future research are offered. [ABSTRACT FROM AUTHOR]

This study examined changes in cognitive and motor skill aspects of tennis performance in adult novices as the result of two types of instruction. In Experiment 1, subjects received instruction in motor skills and declarative knowledge followed by the introduction and integration of tennis strategies. In Experiment 2, subjects received declarative and strategic knowledge and minimal skill instruction followed by an emphasis on refining knowledge and skill in game situations. A knowledge test, skills tests, and actual game play (control, decision, and execution components of performance) were analyzed at the beginning, middle, and end of the semester. Cognitive components increased concurrently with skill improvement when instruction was skill oriented. However, improvements in motor skill components did not occur in Experiment 2 until integration of skill instruction. These findings suggest that, without direct instruction, changes in cognitive components (accuracy of decisions) are more easily developed than motor components. [ABSTRACT FROM AUTHOR]

The trainability of anticipatory skills for tennis was assessed. Subjects (N = 34) from a beginning/intermediate tennis class were randomly assigned to either a mental quickness or a physical quickness (control) training group. They were tested in three laboratory tennis simulation tasks and three on-court tasks (serves, ground strokes, and volleys) 1 week before and after the 3-week quickness training program. Quickness Training x Gender x Test Session ( 2 x 2 x 2 ) ANOVAs with repeated measures on the third factor were conducted. For the laboratory tasks, the mental quickness group made faster decisions in reaction to serves, exhibited faster anticipation times, and showed improved accuracy in predicting serve type and location. No improvements in accuracy were found for the physical quickness group. For filmed match-play situations, the mental quickness group improved reaction times with training and committed fewer response errors. Implications for the design of instructional methods used in dynamic and fast-paced sports are discussed. [ABSTRACT FROM AUTHOR]

This investigation examined the impact of a comprehensive psychological skills training for tennis (PSTT) program on collegiate tennis players. PSTT players were exposed to three psychological skills (goal setting, imagery, and arousal regulation) and then given the opportunity to develop individualized PSTT programs. Program effectiveness was evaluated through (a) case study analyses, (b) intrateam analyses comparing high- and low-commitment PSTT players, and (c) interteam analyses comparing PSTT (H = 12) and non-PSTT (n = 12) players. Results indicated that the PSTT program was successful, with case studies providing strong support for the effectiveness of individual PSTT programs. Additionally, intrateam results revealed that all PSTT players felt their PSTT program helped their tennis games, although high- and low-commitment players differed significantly on only 2 of 15 psychological and performance variables. As expected, interteam results demonstrated significant differences on only 2 of 15 variables, with PSTT players displaying higher state self-confidence and committing fewer double faults than did their non-PSTT counterparts. [ABSTRACT FROM AUTHOR]