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Russian Journal of Information Technology in Sports最新文献

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DECISION-MAKING OF FOOTBALL REFEREES BEHIND CLOSED DOORS: PSYCHOLOGICAL, COMMUNICATIVE, AND FUNCTIONAL FACTORS 足球裁判的闭门决策：心理、交流和功能因素
Russian Journal of Information Technology in Sports Pub Date : 2024-02-08 DOI: 10.62105/2949-6349-2023-1-1-21-42
Behnam Oboudi, Balint Dolnego, Ekaterina A. Glebova, Mohammad Hasan Abdollahi, Gábor Géczi
{"title":"DECISION-MAKING OF FOOTBALL REFEREES BEHIND CLOSED DOORS: PSYCHOLOGICAL, COMMUNICATIVE, AND FUNCTIONAL FACTORS","authors":"Behnam Oboudi, Balint Dolnego, Ekaterina A. Glebova, Mohammad Hasan Abdollahi, Gábor Géczi","doi":"10.62105/2949-6349-2023-1-1-21-42","DOIUrl":"https://doi.org/10.62105/2949-6349-2023-1-1-21-42","url":null,"abstract":"This study aimed to prioritize the effects of COVID-19 and stadiums without spectators on the judgment of football referees, assistant football referees, futsal referees, and beach soccer referees in the Islamic Republic of Iran. Both qualitative and quantitative approaches \u0000were used to collect the data. The qualitative section involved interviews with 15 refereeing experts, while the quantitative section involved male and female football referees, futsal referees, and beach soccer referees in Iran (n=339). Following the interviews, a researcherdesigned questionnaire with 14 questions was electronically distributed among the referees. They were asked in general about the impact of the absence of spectators on their performance. To identify the factors and components affecting referees, factor analysis was conducted using SPSS software. Additionally, first- and second-order confirmatory factor analysis (SEM) was performed using LISREL software to validate the components. Finally, the identified factors were ranked using the Friedman test. It was found that stadiums \u0000without spectators benefited young and inexperienced referees, as they were able to judge matches more effectively. The closed doors format also resulted in less psychological pressure on referees, players, and coaches, since there were no spectators to protest mistakes or poor performance.","PeriodicalId":517086,"journal":{"name":"Russian Journal of Information Technology in Sports","volume":"68 ","pages":""},"PeriodicalIF":0.0,"publicationDate":"2024-02-08","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"140459907","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":0,"RegionCategory":"","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}
引用次数: 0
FORMATION OF BASIC MODEL CHARACTERISTICS IN AESTHETIC GYMNASTICS 美学体操基本模型特征的形成
Russian Journal of Information Technology in Sports Pub Date : 2024-02-08 DOI: 10.62105/2949-6349-2024-1-1-3-8
Ekaterina Bystrickaya, Marina Rostovceva
{"title":"FORMATION OF BASIC MODEL CHARACTERISTICS IN AESTHETIC GYMNASTICS","authors":"Ekaterina Bystrickaya, Marina Rostovceva","doi":"10.62105/2949-6349-2024-1-1-3-8","DOIUrl":"https://doi.org/10.62105/2949-6349-2024-1-1-3-8","url":null,"abstract":"This paper is devoted to the issues of formation and assessment using modern information technologies of the results of training and competitive activities in aesthetic gymnastics based on real-time analysis in a three-axis coordinate system of critical parameters of basic \u0000model characteristics of technical elements of various levels of difficulty.","PeriodicalId":517086,"journal":{"name":"Russian Journal of Information Technology in Sports","volume":"3 4","pages":""},"PeriodicalIF":0.0,"publicationDate":"2024-02-08","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"139895471","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":0,"RegionCategory":"","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}
引用次数: 0
CLASSIFICATION A SENSORIMOTOR TASK LEVEL OF COMPLEXITY FOR ATHLETES BASED ON PHYSIOLOGICAL INDICATORS USING MACHINE LEARNING METHODS 利用机器学习方法，根据生理指标对运动员的传感运动任务复杂程度进行分类
Russian Journal of Information Technology in Sports Pub Date : 2024-01-25 DOI: 10.62105/2949-6349-2024-1-1-17-20
Anastasia Kovaleva
{"title":"CLASSIFICATION A SENSORIMOTOR TASK LEVEL OF COMPLEXITY FOR ATHLETES BASED ON PHYSIOLOGICAL INDICATORS USING MACHINE LEARNING METHODS","authors":"Anastasia Kovaleva","doi":"10.62105/2949-6349-2024-1-1-17-20","DOIUrl":"https://doi.org/10.62105/2949-6349-2024-1-1-17-20","url":null,"abstract":"The study aimed to identify the most sensitive autonomic indicators reflecting the level of complexity of the sensorimotor task performed by athletes using various machine learning methods (classification algorithms). As tasks of two levels of difficulty, we used the audio-motor synchronization task: to tap in synchrony with a metronome rhythmic sound (a simple task) and to tap the same rhythm without auditory cues (rhythm memory task, a complex task). Heart rate, respiratory parameters, skin conduction, and EEG were recorded. The most accurate classification was demonstrated by the Classification and Regression Trees (C&RT) model – the error was only 18.29%.","PeriodicalId":517086,"journal":{"name":"Russian Journal of Information Technology in Sports","volume":"9 3","pages":""},"PeriodicalIF":0.0,"publicationDate":"2024-01-25","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"140495663","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":0,"RegionCategory":"","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}
引用次数: 0
THE ACTIVITY OF H-REFLEX OF CALF MUSCLES DURING FATIGUE IN ATHLETES 运动员疲劳时小腿肌肉 H-反射的活性
Russian Journal of Information Technology in Sports Pub Date : 2024-01-25 DOI: 10.62105/2949-6349-2024-1-1-13-16
Andrey Mel'nikov, Polina Glier, Lubov Belickay, Al'bina Andreeva
{"title":"THE ACTIVITY OF H-REFLEX OF CALF MUSCLES DURING FATIGUE IN ATHLETES","authors":"Andrey Mel'nikov, Polina Glier, Lubov Belickay, Al'bina Andreeva","doi":"10.62105/2949-6349-2024-1-1-13-16","DOIUrl":"https://doi.org/10.62105/2949-6349-2024-1-1-13-16","url":null,"abstract":"Fatigue of the synergists and antagonists of M. soleus and M. gastrocnemius causes a decrease in the reflex contractility of the shin muscles, which is more prolonged and significant in wrestlers compared to runners.","PeriodicalId":517086,"journal":{"name":"Russian Journal of Information Technology in Sports","volume":"88 5","pages":""},"PeriodicalIF":0.0,"publicationDate":"2024-01-25","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"140495795","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":0,"RegionCategory":"","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}
引用次数: 0
CONTROL OF SPORTS EXERCISES AND DIAGNOSTICS OF DISEASES OF THE MUSCULOSKELETAL SYSTEM USING HARDWARE AND SOFTWARE COMPLEX AND MACHINE LEARNING ALGORITHMS 利用复杂的硬件和软件以及机器学习算法控制体育锻炼和诊断肌肉骨骼系统疾病
Russian Journal of Information Technology in Sports Pub Date : 2024-01-25 DOI: 10.62105/2949-6349-2024-1-1-9-12
Mihail Petrov, Sergey Simakov
{"title":"CONTROL OF SPORTS EXERCISES AND DIAGNOSTICS OF DISEASES OF THE MUSCULOSKELETAL SYSTEM USING HARDWARE AND SOFTWARE COMPLEX AND MACHINE LEARNING ALGORITHMS","authors":"Mihail Petrov, Sergey Simakov","doi":"10.62105/2949-6349-2024-1-1-9-12","DOIUrl":"https://doi.org/10.62105/2949-6349-2024-1-1-9-12","url":null,"abstract":"The article presents the experience of developing a hardware and software complex designed to monitor the performance of sports exercises and diagnose the state of the athlete's musculoskeletal system. The algorithms used are described and their significance for the problem being solved is justified.","PeriodicalId":517086,"journal":{"name":"Russian Journal of Information Technology in Sports","volume":"72 13","pages":""},"PeriodicalIF":0.0,"publicationDate":"2024-01-25","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"140496381","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":0,"RegionCategory":"","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}
引用次数: 0
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