Design and Implementation of Football Player Training Management System Based on Intelligent Image

This article is aimed at studying the design and implementation of a football player training management system based on smart images. Based on the analysis of the importance of informatization for scientific football training, system performance requirements and intelligent image detection technology, the football player training management is designed. The overall architecture of the system, and the detailed design of each functional module of the system. It mainly includes football player information management module, football player training plan viewing module, training goal formulation module and training information feedback module. The realization of the training management system relies on intelligent image technology to detect and track athletes. Finally, the performance of the system was tested. The test results show that the expected response time of each module of the system when different numbers of users are accessed is within 3 seconds. The longest actual time is 2.64 s, and the actual shortest time is 1.18 s. It can be seen that the response time of the system meets the demand. At the same time, the system throughput rate meets the requirements of this article, and the user pass rate is also above 95%, indicating that the performance of the football player training management system designed in this article is better.

The Importance of Selected Coordination Motor Skills for an Individual Football Player’s Effectiveness in a Game

The appropriate level of coordination motor skills (CMS) in a football player is one of the factors determining the effectiveness of their actions. Adaptability and complex reaction time are of particular importance in models of coordination requirements in football. The lead aim of this study is to determine the relationship between two selected coordination motor skills and the offensive, defensive and comprehensive effectiveness of an individual player’s actions. The study was conducted on a group of 91 Polish male football players aged 20 to 31 years, all in the senior age category. The research tools included: a test assessing motor adaptation (research by dribbling the ball with the dominant leg), psychomotor test of complex reaction time (tested with an S-10.2 measuring device) and a test of the effectiveness of an individual player’s actions (one-on-one simulation game). The conducted research indicated that adaptability and complex reaction time are both important abilities for success when attacking in an individual game, and in the assessment of a comprehensive index of individual competences in a one-on-one football game. However, the most significant factor influencing the effectiveness of a player’s defensive action is solely the complex reaction time.

Assessing the Relevance of Opinions in Uncertainty and Info-Incompleteness Conditions

Researchers are interested in defining decision support systems that can act in contexts characterized by uncertainty and info-incompleteness. The present study proposes a learning model for assessing the relevance of probability, plausibility, credibility, and possibility opinions in the conditions above. The solution consists of an Artificial Neural Network acquiring input features related to the considered set of opinions and other relevant attributes. The model provides the weights for minimizing the error between the expected outcome and the ground truth concerning a given phenomenon of interest. A custom loss function was defined to minimize the Mean Best Price Error (MBPE), while the evaluation of football players’ was chosen as a case study for testing the model. A custom dataset was constructed by scraping the Transfermarkt, Football Manager, and FIFA21 information sources and by computing a sentiment score through BERT, obtaining a total of 398 occurrences, of which 85% were employed for training the proposed model. The results show that the probability opinion represents the best choice in conditions of info-completeness, predicting the best price with 0.86 MBPE (0.61% of normalized error), while an arbitrary set composed of plausibility, credibility, and possibility opinions was considered for deciding successfully in info-incompleteness, achieving a confidence score of 2.47±0.188 MBPE (1.89±0.15% of normalized error). The proposed solution provided high performance in predicting the transfer cost of a football player in conditions of both info-completeness and info-incompleteness, revealing the significance of extending the feature space to opinions concerning the quantity to predict. Furthermore, the assumptions of the theoretical background were confirmed, as well as the observations found in the state of the art regarding football player evaluation.

Analisis Image Comment To Video Comment Rasio Instagram Pada 5 Pemain Sepak Bola Termahal Di Dunia

Instagram is a social media application based on android for smartphones, Ios for ipPhone, Blackbarry, Windows Phone and now it can also be run on a computer or pc. Instagram also provides various interesting features such as filters, instagram stories, IGTV and other network features. Instagram was founded by a company called Burbn inc. And led in 2010 by two CEOs Mike Krieger and Kevin Systrom but on April 9, 2012 Instagram has been taken over by Facebook with a value of around $1M. Instagram users in Indonesia are 86.6% of the total population. The increasing number of active Instagram users in Indonesia who use Instagram as a marketing platform. There are 5 football players in the world who use Instagram as a marketing platform, namely: Neymar, Kylian Mbappe, Philippe Coutinho, Ousmane Dambelle, Paul Pogpa. The purpose of this study is to calculate the credibility of the Instagram account performance of the 5 most expensive soccer players in the world. The method used for this research is quantitative exploratory method. The results of this study indicate that football player Kylian Mbappe gets first place and has good account performance credibility.

ANALISIS IMAGE COMENT TO VIDEO COMMENT RASIO INSTAGRAM PADA 5 PEMAIN SEPAK BOLA TERMAHAL DI DUNIA

Instagram is a social media application based on android for smartphones, Ios for iPhone, Blackbarry, Windows Phone and now it can also be run on a computer or pc. Instagram also provides various interesting features such as filters, instagram stories, IGTV and other network features. Instagram was founded by a company called Burbn inc. And led in 2010 by two CEOs Mike Krieger and Kevin Systrom but on April 9, 2012 Instagram has been taken over by Facebook with a value of around $1M. Instagram users in Indonesia are 86.6% of the total population. The increasing number of active Instagram users in Indonesia who use Instagram as a marketing platform. There are 5 football players in the world who use Instagram as a marketing platform, namely: Neymar, Kylian Mbappe, Philippe Coutinho, Ousmane Dambelle, Paul Pogpa. The purpose of this study is to calculate the credibility of the Instagram account performance of the 5 most expensive soccer players in the world. The method used for this research is quantitative exploratory method. The results of this study indicate that football player Kylian Mbappe gets first place and has good account performance credibility.

The relative age and birth order effect in Japanese professional football

This study examines how the probability of becoming a professional football player depends on the birth month (relative age effect) and birth order. These two factors are random and cannot be controlled by the athlete. If these factors influence the probability of the occurrence of top athletes, they not only create inequality but also close the disciplines to potentially talented athletes, lowering the level of competition. Therefore, in this study, we statistically clarified the presence or absence of “giftedness of life” by focusing on the birth month and birth order of professional football league players in the Japan Professional Football League (J-League). Our results indicate that the probability of the occurrence of J-League players decreases significantly with increasing birth order and birth month (180 days, from April onward). Moreover, we found that second-born players with an older brother had higher estimated salaries than players without siblings. These results reveal the characteristics of excellent football players and suggest the importance and direction of improvement in talent discovery and development in sports. Based on our results, we recommend improvements in the player training system to buffer the effects of relative age effect and birth order.

The Effect of Exercise Intervention on Disability and Kinesiophobia in a Retired Athlete With Old Patella Fracture: A Case Report

Objectives: To evaluate the effect of exercise intervention on disability, pain, and kinesiophobia in a retired athlete with old patella fracture.Methods: A 34-year-old retired football player with old patella fracture conducted the exercise intervention for 12 weeks, 1 h each time, three times a week. the retired football player completed the Lysholm Knee Score (LKS), Visual Analog Scale (VAS), and the Tampa Scale for Kinesiophobia (TSK) were measured at pre-intervention, mid-intervention, and post-intervention.Results: Based on the functional training perspective, the retired athlete was subjected to two stages of exercise intervention for a total of 12 weeks. The patient's LKS score increased from 76 to 95, and the pain level of various physical states was relieved. When walking, the VAS score was reduced from 3 to 1, and when running, the VAS score was reduced from 5 to 2. Jumping VAS score for actions was reduced from 6 to 3, and the VAS score for of daily life activities was reduced from 3 points to 2. The patient's TSK score from 50 to 37.Conclusion: A 12-week exercise intervention could improve knee joint function, relieve pain and relieve kinesiophobia.