This article uses the literature data method and literature review method to review and collect relevant literature,and summarizes and analyzes the representative views on domestic physical fitness research.After summ...This article uses the literature data method and literature review method to review and collect relevant literature,and summarizes and analyzes the representative views on domestic physical fitness research.After summarizing and summarizing,it is considered that:physical energy is the basic athletic ability of the human body expressed through physical qualities such as strength,speed,endurance,coordination,flexibility,and sensitivity,and is an important component of athletes'athletic ability.The level of physical fitness is closely related to the morphological characteristics of the human body and the functional characteristics of the human body.The morphological characteristics of the human body are the structural basis of its physical fitness,and the functional characteristics of the human body are its biological functional basis.As the basic ability of athletes,physical fitness is an important factor of athletes'competitive ability.Each competitive sport has its own specific physical characteristics and training rules and methods.Grasping these laws has very important guiding significance for the improvement of athletes'sports level.展开更多
The Chinese Football Association Super League （CSL） has broken yet another record. Indeed, the league＇s record recruitment budget of 388 million euros （$342.76 million） yeas broken this season. In 2018, more than...The Chinese Football Association Super League （CSL） has broken yet another record. Indeed, the league＇s record recruitment budget of 388 million euros （$342.76 million） yeas broken this season. In 2018, more than 470 million euros （$415.19 million） have been spent on retaining the best football stars that have come to China in recent years, as well as on attracting even more talented footballers.展开更多
Football is one of the most-watched sports,but analyzing players’per-formance is currently difficult and labor intensive.Performance analysis is done manually,which means that someone must watch video recordings and ...Football is one of the most-watched sports,but analyzing players’per-formance is currently difficult and labor intensive.Performance analysis is done manually,which means that someone must watch video recordings and then log each player’s performance.This includes the number of passes and shots taken by each player,the location of the action,and whether or not the play had a successful outcome.Due to the time-consuming nature of manual analyses,interest in automatic analysis tools is high despite the many interdependent phases involved,such as pitch segmentation,player and ball detection,assigning players to their teams,identifying individual players,activity recognition,etc.This paper proposes a system for developing an automatic video analysis tool for sports.The proposed system is the first to integrate multiple phases,such as segmenting the field,detecting the players and the ball,assigning players to their teams,and iden-tifying players’jersey numbers.In team assignment,this research employed unsu-pervised learning based on convolutional autoencoders(CAEs)to learn discriminative latent representations and minimize the latent embedding distance between the players on the same team while simultaneously maximizing the dis-tance between those on opposing teams.This paper also created a highly accurate approach for the real-time detection of the ball.Furthermore,it also addressed the lack of jersey number datasets by creating a new dataset with more than 6,500 images for numbers ranging from 0 to 99.Since achieving a high perfor-mance in deep learning requires a large training set,and the collected dataset was not enough,this research utilized transfer learning(TL)to first pretrain the jersey number detection model on another large dataset and then fine-tune it on the target dataset to increase the accuracy.To test the proposed system,this paper presents a comprehensive evaluation of its individual stages as well as of the sys-tem as a whole.展开更多
The purpose of this article is to identify, through the methodology, the impact that the quality of football fields and their continuous improvement influences the football players and the football level in general, a...The purpose of this article is to identify, through the methodology, the impact that the quality of football fields and their continuous improvement influences the football players and the football level in general, as well as the advantages; and disadvantages of this process. In the meantime, it reveals the football field＇s quality effects in the performance at the national championships, at television transmission rights, and sale of football players to foreign clubs. In addition, the dynamics of investment in the last two decades and the Albanian Football Federation objectives for the future are an important part of this article展开更多
BACKGROUND Anterior cruciate ligament(ACL)injuries represent detrimental injuries in the National Football League(NFL).A significant portion of these injuries often occur in preseason exhibitions.The Coronavirus disea...BACKGROUND Anterior cruciate ligament(ACL)injuries represent detrimental injuries in the National Football League(NFL).A significant portion of these injuries often occur in preseason exhibitions.The Coronavirus disease 2019 pandemic presented a unique disruption to preseason NFL football with the cancelation of all preseason games.AIM To compare the incidence of ACL tears through the first eight weeks of the NFL season in 2020 to the mean incidence over the previous 5 seasons(2015-2019)and determine if there was any change in incidence with the elimination of the preseason.METHODS NFL players who suffered ACL tears during the preseason and first eight weeks of the NFL season from 2015-2020 were identified.The number of ACL injuries for the 2015-2019 seasons was compared to the 2020 season for four different timeframes.For each analysis,the cumulative number of ACL injuries to that time point was used to calculate the percent difference for descriptive analysis.Additionally,the number of teams with at least one player suffering an ACL tear were identified and compared using Chi-Squared testing.Finally,a cumulative relative risk was calculated for each week played.RESULTS There were 14 ACL tears through the first four games of the 2020 season,a 118.8%(14 vs 6.4)increase in comparison to the 5-year average over the first 4 regular season weeks of 2015-2019.However,when accounting for injuries occurring during the preseason from 2015-2019,there were 18.6%(14 vs 17.2)fewer total ACL injuries through regular season week 4 with no significant difference in percentage of teams impacted when these preseason injuries were accounted for P=0.394.Results were similar(19 vs 17.2)over 8 total games played(whether regular season or preseason),and over 8 regular season games(P=0.196,P=0.600).CONCLUSION The elimination of the NFL preseason resulted in a higher rate of injuries during the first 4 games of the regular season.However,these increases are offset by the injuries typically sustained during the preseason.This suggests there may be front-loading of injuries over the course of an NFL season,such that players may be more prone to injury when the intensity of play suddenly increases,whether in the preseason or regular season.展开更多
The year 2017 was a golden one for footballer Christian Mougang Bas sogog, who ended the season on a high note by winning two personal trophies. In addition to his title of Best Player of the 2017 African Cup of Natio...The year 2017 was a golden one for footballer Christian Mougang Bas sogog, who ended the season on a high note by winning two personal trophies. In addition to his title of Best Player of the 2017 African Cup of Nations （CAN）, the Cameroon forward was voted best African footballer by his peers at the end of the season last November.展开更多
Evaluating and selecting players to suit football clubs and decision-makers (coaches, managers, technical, and medical staff) is a difficult process from a managerial-financial and sporting perspective. Football is a ...Evaluating and selecting players to suit football clubs and decision-makers (coaches, managers, technical, and medical staff) is a difficult process from a managerial-financial and sporting perspective. Football is a highly competitive sport where sponsors and fans are attracted by success. The most successful players, based on their characteristics (criteria and sub-criteria), can influence the outcome of a football game at any given time. Consequently, the D-day of selection should employ a more appropriate approach to human resource management. To effectively address this issue, a detailed study and analysis of the available literature are needed to assist practitioners and professionals in making decisions about football player selection and hiring. Peer-reviewed journals were selected for collecting published papers between 2018 and 2023. A total of 66 relevant articles (journal articles, conference articles, book sections, and review articles) were selected for evaluation and analysis. The purpose of the study is to present a systematic literature review (SLR) on how to solve this problem and organize the published research papers that answer our four research questions.展开更多
文摘This article uses the literature data method and literature review method to review and collect relevant literature,and summarizes and analyzes the representative views on domestic physical fitness research.After summarizing and summarizing,it is considered that:physical energy is the basic athletic ability of the human body expressed through physical qualities such as strength,speed,endurance,coordination,flexibility,and sensitivity,and is an important component of athletes'athletic ability.The level of physical fitness is closely related to the morphological characteristics of the human body and the functional characteristics of the human body.The morphological characteristics of the human body are the structural basis of its physical fitness,and the functional characteristics of the human body are its biological functional basis.As the basic ability of athletes,physical fitness is an important factor of athletes'competitive ability.Each competitive sport has its own specific physical characteristics and training rules and methods.Grasping these laws has very important guiding significance for the improvement of athletes'sports level.
文摘The Chinese Football Association Super League （CSL） has broken yet another record. Indeed, the league＇s record recruitment budget of 388 million euros （$342.76 million） yeas broken this season. In 2018, more than 470 million euros （$415.19 million） have been spent on retaining the best football stars that have come to China in recent years, as well as on attracting even more talented footballers.
文摘Football is one of the most-watched sports,but analyzing players’per-formance is currently difficult and labor intensive.Performance analysis is done manually,which means that someone must watch video recordings and then log each player’s performance.This includes the number of passes and shots taken by each player,the location of the action,and whether or not the play had a successful outcome.Due to the time-consuming nature of manual analyses,interest in automatic analysis tools is high despite the many interdependent phases involved,such as pitch segmentation,player and ball detection,assigning players to their teams,identifying individual players,activity recognition,etc.This paper proposes a system for developing an automatic video analysis tool for sports.The proposed system is the first to integrate multiple phases,such as segmenting the field,detecting the players and the ball,assigning players to their teams,and iden-tifying players’jersey numbers.In team assignment,this research employed unsu-pervised learning based on convolutional autoencoders(CAEs)to learn discriminative latent representations and minimize the latent embedding distance between the players on the same team while simultaneously maximizing the dis-tance between those on opposing teams.This paper also created a highly accurate approach for the real-time detection of the ball.Furthermore,it also addressed the lack of jersey number datasets by creating a new dataset with more than 6,500 images for numbers ranging from 0 to 99.Since achieving a high perfor-mance in deep learning requires a large training set,and the collected dataset was not enough,this research utilized transfer learning(TL)to first pretrain the jersey number detection model on another large dataset and then fine-tune it on the target dataset to increase the accuracy.To test the proposed system,this paper presents a comprehensive evaluation of its individual stages as well as of the sys-tem as a whole.
文摘The purpose of this article is to identify, through the methodology, the impact that the quality of football fields and their continuous improvement influences the football players and the football level in general, as well as the advantages; and disadvantages of this process. In the meantime, it reveals the football field＇s quality effects in the performance at the national championships, at television transmission rights, and sale of football players to foreign clubs. In addition, the dynamics of investment in the last two decades and the Albanian Football Federation objectives for the future are an important part of this article
文摘BACKGROUND Anterior cruciate ligament(ACL)injuries represent detrimental injuries in the National Football League(NFL).A significant portion of these injuries often occur in preseason exhibitions.The Coronavirus disease 2019 pandemic presented a unique disruption to preseason NFL football with the cancelation of all preseason games.AIM To compare the incidence of ACL tears through the first eight weeks of the NFL season in 2020 to the mean incidence over the previous 5 seasons(2015-2019)and determine if there was any change in incidence with the elimination of the preseason.METHODS NFL players who suffered ACL tears during the preseason and first eight weeks of the NFL season from 2015-2020 were identified.The number of ACL injuries for the 2015-2019 seasons was compared to the 2020 season for four different timeframes.For each analysis,the cumulative number of ACL injuries to that time point was used to calculate the percent difference for descriptive analysis.Additionally,the number of teams with at least one player suffering an ACL tear were identified and compared using Chi-Squared testing.Finally,a cumulative relative risk was calculated for each week played.RESULTS There were 14 ACL tears through the first four games of the 2020 season,a 118.8%(14 vs 6.4)increase in comparison to the 5-year average over the first 4 regular season weeks of 2015-2019.However,when accounting for injuries occurring during the preseason from 2015-2019,there were 18.6%(14 vs 17.2)fewer total ACL injuries through regular season week 4 with no significant difference in percentage of teams impacted when these preseason injuries were accounted for P=0.394.Results were similar(19 vs 17.2)over 8 total games played(whether regular season or preseason),and over 8 regular season games(P=0.196,P=0.600).CONCLUSION The elimination of the NFL preseason resulted in a higher rate of injuries during the first 4 games of the regular season.However,these increases are offset by the injuries typically sustained during the preseason.This suggests there may be front-loading of injuries over the course of an NFL season,such that players may be more prone to injury when the intensity of play suddenly increases,whether in the preseason or regular season.
文摘The year 2017 was a golden one for footballer Christian Mougang Bas sogog, who ended the season on a high note by winning two personal trophies. In addition to his title of Best Player of the 2017 African Cup of Nations （CAN）, the Cameroon forward was voted best African footballer by his peers at the end of the season last November.
文摘Evaluating and selecting players to suit football clubs and decision-makers (coaches, managers, technical, and medical staff) is a difficult process from a managerial-financial and sporting perspective. Football is a highly competitive sport where sponsors and fans are attracted by success. The most successful players, based on their characteristics (criteria and sub-criteria), can influence the outcome of a football game at any given time. Consequently, the D-day of selection should employ a more appropriate approach to human resource management. To effectively address this issue, a detailed study and analysis of the available literature are needed to assist practitioners and professionals in making decisions about football player selection and hiring. Peer-reviewed journals were selected for collecting published papers between 2018 and 2023. A total of 66 relevant articles (journal articles, conference articles, book sections, and review articles) were selected for evaluation and analysis. The purpose of the study is to present a systematic literature review (SLR) on how to solve this problem and organize the published research papers that answer our four research questions.
