A Methodology for the Analysis of Soccer Matches Based on PageRank Centrality

Rojas-Mora, Julio; Chávez-Bustamante, Felipe; Río-Andrade, Julio del; Medina-Valdebenito, Nicolás

doi:10.1007/978-3-319-63907-9_16

Cited by 6 publications

(6 citation statements)

References 46 publications

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“…The role of AI mainly functions for data classification, monitoring, and visualization among the included studies. Furthermore, 80% (43/54) of the studies recruited participants for user study [ 75 , 76 , 78 - 81 , 83 - 88 , 90 , 92 , 93 , 95 - 105 , 107 - 110 , 113 - 116 , 118 - 124 , 127 , 128 ]. Twelve articles used public data set [ 78 , 82 , 89 , 91 , 94 , 106 , 111 , 112 , 117 , 125 - 127 ].…”

Section: Resultsmentioning

confidence: 99%

“…They were used to collect data on typical ADLs, such as standing, walking, sitting, and jumping, while ambient sensors were used less frequently. Physical activities such as jumping [ 75 , 78 , 98 ], playing basketball [ 96 , 116 ], soccer [ 83 ], baseball [ 115 ], running [ 105 ], ballet dance [ 103 ] skiing [ 127 ], karate [ 84 ], and Taijiquan [ 123 ] were studied. Meanwhile, AI processing in the included articles functions for data extraction and classification to achieve daily living and physical activities recognition.…”

Section: Resultsmentioning

confidence: 99%

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Motion Tracking of Daily Living and Physical Activities in Health Care: Systematic Review From Designers’ Perspective

Wei,

Wang

2024

JMIR Mhealth Uhealth

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Background Motion tracking technologies serve as crucial links between physical activities and health care insights, facilitating data acquisition essential for analyzing and intervening in physical activity. Yet, systematic methodologies for evaluating motion tracking data, especially concerning user activity recognition in health care applications, remain underreported. Objective This study aims to systematically review motion tracking in daily living and physical activities, emphasizing the critical interaction among devices, users, and environments from a design perspective, and to analyze the process involved in health care application research. It intends to delineate the design and application intricacies in health care contexts, focusing on enhancing motion tracking data’s accuracy and applicability for health monitoring and intervention strategies. Methods Using a systematic review, this research scrutinized motion tracking data and their application in health care and wellness, examining studies from Scopus, Web of Science, EBSCO, and PubMed databases. The review used actor network theory and data-enabled design to understand the complex interplay between humans, devices, and environments within these applications. Results Out of 1501 initially identified studies, 54 (3.66%) were included for in-depth analysis. These articles predominantly used accelerometer and gyroscope sensors (n=43, 80%) to monitor and analyze motion, demonstrating a strong preference for these technologies in capturing both dynamic and static activities. While incorporating portable devices (n=11, 20%) and multisensor configurations (n=16, 30%), the application of sensors across the body (n=15, 28%) and within physical spaces (n=17, 31%) highlights the diverse applications of motion tracking technologies in health care research. This diversity reflects the application’s alignment with activity types ranging from daily movements to specialized scenarios. The results also reveal a diverse participant pool, including the general public, athletes, and specialized groups, with a focus on healthy individuals (n=31, 57%) and athletes (n=14, 26%). Despite this extensive application range, the focus primarily on laboratory-based studies (n=39, 72%) aimed at professional uses, such as precise activity identification and joint functionality assessment, emphasizes a significant challenge in translating findings from controlled environments to the dynamic conditions of everyday physical activities. Conclusions This study’s comprehensive investigation of motion tracking technology in health care research reveals a significant gap between the methods used for data collection and their practical application in real-world scenarios. It proposes an innovative approach that includes designers in the research process, emphasizing the importance of incorporating data-enabled design framework. This ensures that motion data collection is aligned with the dynamic and varied nature of daily living and physical activities. Such integration is crucial for developing health applications that are accessible, intuitive, and tailored to meet diverse user needs. By leveraging a multidisciplinary approach that combines design, engineering, and health sciences, the research opens new pathways for enhancing the usability and effectiveness of health technologies.

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Section: Resultsmentioning

confidence: 99%

Section: Resultsmentioning

confidence: 99%

Motion Tracking of Daily Living and Physical Activities in Health Care: Systematic Review From Designers’ Perspective

Wei,

Wang

2024

JMIR Mhealth Uhealth

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“…On the other hand, as the importance of calculating the Olympic rankings in the Taekwondo field is increasing, this study proposed the PageRank model to compensate for the problem of ranking. However, the PageRank model applied in this study has the disadvantage of requiring complex mathematical calculations (18). Of course, the mathematical calculations can be solved by an automated system in the field, but it is difficult to predict the rankings because the players or the coaches cannot check the process of calculating the rankings.…”

Section: Discussionmentioning

confidence: 99%

“…Finally, in the sports field, various ranking methods are applied in consideration of the characteristics of each sport (6,11,15,18,19), and there is indeed a considerable interest in the selection of ranking methods. Among the ranking methods, PageRank has a disadvantage because it is difficult to calculate.…”

Section: Discussionmentioning

confidence: 99%

Application of PageRank Model for Olympic Women�s Taekwondo Rankings: Comparison of PageRank and Accumulated Point Index System

Jeon²,

Seungtae³

et al. 2022

Ann Appl Sport Sci

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Background. Although the World Taekwondo federation currently applies the APIS ranking method to calculate the Olympic rankings, some limitations exist. Objectives. This study applies the PageRank model to Olympics Taekwondo rankings. Methods. The 2015-2018 World Taekwondo Grand Prix competition results for women's four weight classes (-49kg, -57kg, -67kg, +67kg) were used as research data, totaling 624 games. Excel and NetMiner programs were used to calculate the PageRank value, and the damping factor d was set to 0.15. Results.

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“…Furthermore, clustering coefficients were calculated to measure relations between players and to identify the importance of the players who most frequently interacted with each other when ball possession was kept. Another centrality measure, the PageRank centrality, was investigated by Rojas-Mora, Chávez-Bustamante, del Río-Andrade, and Medina-Valdebenito (2017) to find the most important players of a team in matches from the group stage of the Copa America 2015. A combined network for both teams in a match was used, meaning that players on different teams were connected by edges representing miskicks and interceptions.…”

Section: Introductionmentioning

confidence: 99%

Analyzing passing networks in association football based on the difficulty, risk, and potential of passes

Wiig

Håland

Stålhane

et al. 2019

International Journal of Computer Science in Sport

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This paper investigates the use of network analysis to identify key players on teams, and patterns of passing within teams, in association football. Networks are constructed based on passes made between players, and several centrality measures are investigated in combination with three different methods for evaluating individual passes. Four seasons of data from the Norwegian top division are used to identify key players and analyze matches from a selected team. The networks examined in this work have weights based on three different aspects of the passes made: their probability of being completed, the probability that the team keeps possession after the completed pass, and the probability of the pass being part of a sequence leading to a shot. The results show that using different metrics and network weights leads to the identification of key passers in different phases of play and in different positions on the pitch.

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A Methodology for the Analysis of Soccer Matches Based on PageRank Centrality

Cited by 6 publications

References 46 publications

Motion Tracking of Daily Living and Physical Activities in Health Care: Systematic Review From Designers’ Perspective

Motion Tracking of Daily Living and Physical Activities in Health Care: Systematic Review From Designers’ Perspective

Application of PageRank Model for Olympic Women�s Taekwondo Rankings: Comparison of PageRank and Accumulated Point Index System

Analyzing passing networks in association football based on the difficulty, risk, and potential of passes

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