• The Journal of Korean Academy of Orthopedic Manual Physical Therapy
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• v.30 no.2
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• pp.13-26
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• 2024

Background: The most common form of injury in soccer is a hamstring strain. Eccentric bias exercises are crucial for reducing injury risk and improving sprinting performance. The purpose of this study was to compare a 4-week hip-dominant hamstring strengthening exercise program (HDE) with a knee-dominant hamstring strengthening exercise program (KDE) in youth soccer players. Method: The sample (n=31) was randomly divided into two groups: HDE (n=17) and KDE (n=14), with soccer players in HDE performing hip joint-dominant hamstring strengthening exercises and those in KDE performing knee joint-dominant hamstring strengthening exercises. Each intervention was conducted three times per week for four weeks. The outcome measures included the hamstring strength test (isometric strength test, eccentric strength test), knee joint range of motion (90/90 active knee extension; AKE) test, lower limb function test Y-balance test and Agility T-test. Results: Following the intervention, both groups showed significant improvement in isometric and eccentric hamstring strength on both dominant and non-dominant sides (p<.05). The AKE test showed significant improvement in the dominant leg (p<.05) and non-dominant leg only in KDE. The agility test significantly improved in HDE (p<.05). There was a slight improvement in the Y-balance test score; however, the difference was not statistically significant. There were no differences between the two groups in the values before, and after the intervention for all items. Conclusion: The hip-dominant and knee-dominant hamstring strengthening exercise should be coordinated and used based on the environment during hamstring injury prevention training.

• The Journal of Korean Physical Therapy
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• v.28 no.4
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• pp.254-258
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• 2016

Purpose: This study was conducted to identify the effects of dual task training on balance and functional performance in high school soccer players with functional ankle instability. Methods: Twenty high school soccer players with functional ankle instability were randomly assigned to a single task training group and a dual task training group. One participant who did not participate regularly in the training was excluded. The single task training group (n=9) received balance training on an unstable surface. The dual task training group (n=10) received balance training on an unstable surface and had to catch thrown balls during the balance training. Both groups were trained for 4 weeks, 3 days a week. The balance and functional performance of both groups was measured before and after training. Balance was measured using an anterior-posterior and medio-lateral balance. Functional performance was measured based on a figure-of-8 hop test, up-down hop test, and a single hop test. All data were analyzed by repeated two-way ANOVA tests. Results: A time by group interaction effect was not observed in the medio-lateral balance test, figure-of-8 hop test, or single hop test (p>0.05). A time by group interaction effect was observed in the anterior-posterior balance and up-down hop test (p<0.05). Conclusion: These results suggest that dual task training improved balance and functional performance better than single task training for some items.

• Journal of Institute of Control, Robotics and Systems
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• v.11 no.1
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• pp.58-66
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• 2005

Usual human gait can be modeled as continual impact phenomenon that happens due to the topological change of the kinematic structure of the two feet. The human being adapts his own control algorithm to minimize the ill effect due to the collision with the environment. In order to operate a Humanoid robot like the human being, it is necessary to understand the physics of the impact and to derive an analytical model of the impact. In this paper, specially, we focus on impact analysis of the kicking motion in playing soccer. At the instant of impact, the external impulse exerted on the ball by the foot is an important property. Initially, we introduce the complete external impulse model of the lower-extremity of the human body and analyze the external impulses for several kicking postures of the lower-extremity. Secondly, a trajectory-planning algorithm of a ball, in which the initial velocity and the launch angle of the ball are calculated for a desired trajectory of the ball, will be introduced. The aerodynamic effect such as drag force and lift force is also considered. We carry out numerical simulation and experimentation to verify the effectiveness of the proposed analytical methodology.

• The Journal of Churna Manual Medicine for Spine and Nerves
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• v.5 no.1
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• pp.11-22
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• 2010

Object: This study was planned to show the physical characteristics of soccer player and their Yangdorak measurements. Method: We categorized 5 study group. (I-Players classified by age; II, III-Players and control group; IV-Players who had positive RF and the others; V-Players who had digestive disorder and the others) And We conducted the potentiality of skin resistance(Yangdorak) and GFS, PFT, ECG and the other, then analysis that. Result: As old aged group, Yangdorak shown lower RS, but that was not significant. Player group had higher Yangdorak score at H5, F1, F2, F5 than control group. Player group was shown better cardiopulmonary function, but H1, H2, H3 score were not significant. Players who conducted RF test shown not significant difference of H4 measurement between positive and negative group. Digestive disorder group had higher F1, F6 score, but that wasn't significant.

• Journal of the Korean Data and Information Science Society
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• v.25 no.6
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• pp.1231-1239
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• 2014

In this paper we analyse the distributions of the number of goals scored by home teams and away teams in K-league soccer outcomes between 1983 and 2012. Real soccer data is explained in K-league using statistical distributions such that Poisson, negative binomial, extreme value and zero inflated Poisson. How close the goals of home and away fits the different distributions are tested by performing chi-square goodness of fit tests. According to these tests, the Poisson distribution gives the best fit to the home goals data. But it is best to model the away goals data on zero inflated Poisson distribution. Also, there is some weak evidence of the dependence for home and away goals.

• Proceedings of the Korean Institute of Information and Commucation Sciences Conference
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• 2004.05b
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• pp.599-602
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• 2004

In this paper, an automatic setting method of control parameters for robot scorer is proposed. First we acquisited some local image lesions including robots and ball patch, and sampled the regions to RCB value. Edge operator is applied to get magnitude of gradient at each pixel. Some effective patch regions can be detected by magnitude of gradient, and YUV value at each pixel in patch lesions can be obtained. We can determine control parameters of robot soccer using luminance component of YUV. The proposed method is applied to robot soccer image to detect initial patch value and get control parameters adaptively in light variation.

• Communications for Statistical Applications and Methods
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• v.17 no.6
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• pp.779-789
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• 2010

Sport commentators play an increasingly influential role in commercial sports broadcasting. Public trust is regarded as one of the most significant qualifications for sport commentators and this study used a Fuzzy AHP method in deciding the relative importance of professionalism, reliability, dynamic, and narrative skill. Based on the results, we conducted an evaluation of the public trust for the four SBS sport commentators for the 2010 South-Africa World Cup. The conclusion showed that professionalism and narrative skill were regarded as the most important factors for sport commentators to gain public trust. Among the four commentators evaluated, commentator # 1 got highest score overall, the soccer expert group highly appreciated commentator # 2, and the non-expert group highly appreciated commentator # 3.

• International journal of advanced smart convergence
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• v.8 no.3
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• pp.20-26
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• 2019

This study multi-dimensionally analyzes a sport documentary, All or Nothing: Manchester City, which is an original content on Prime Video, an American Over-The-Top (OTT) platform. Due to the success of South Korean soccer player Heung-min Son who plays Tottenham Hotspur of England, the popularity of the English Premier league is recently the greatest in South Korea along with the fact that soccer has been a popular sport for a long time. This study focuses on the success of the soccer club, Manchester City, which has become a rising star with its huge investment from United Arab Emirates; Manchester City won the league four times since 1992/1993 season. Also, during the 2017/2018 season, the background the documentary, Manchester City won the league title with new records, which shows the greatness of Manchester City. Especially, this study examines the documentary by 1) Story 2) Type of Scene 3) How to watch. Thus, this study explores not only the aspects of team-themed sport documentary that shows how and why Manchester City is excellent, but also the traits of the original content that explores the structure of the media platform.

• International Journal of Internet, Broadcasting and Communication
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• v.15 no.1
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• pp.164-170
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• 2023

The purpose of this study is to analyze the big data of Adidas brand participating in the Qatar World Cup in 2022 as a FIFA partner to understand useful information, semantic connection and context from unstructured data. Therefore, this study collected big data generated during the World Cup from Adidas participating in sponsorship as a FIFA partner for the 2022 Qatar World Cup and collected data from major portal sites to understand its meaning. According to text mining analysis, 'Adidas' was used the most 3,340 times based on the frequency of keyword appearance, followed by 'World Cup', 'Qatar World Cup', 'Soccer', 'Lionel Messi', 'Qatar', 'FIFA', 'Korea', and 'Uniform'. In addition, the TF-IDF rankings were 'Qatar World Cup', 'Soccer', 'Lionel Messi', 'World Cup', 'Uniform', 'Qatar', 'FIFA', 'Ronaldo', 'Korea', and 'Nike'. As a result of semantic network analysis and CONCOR analysis, four groups were formed. First, Cluster A named it 'Qatar World Cup Sponsor' as words such as 'Adidas', 'Nike', 'Qatar World Cup', 'Sponsor', 'Sponsor Company', 'Marketing', 'Nation', 'Launch', 'Official', 'Commemoration' and 'National Team' were formed into groups. Second, B Cluster named it 'Group stage' as words such as 'Qatar', 'Uruguay', 'FIFA' and 'group stage' were formed into groups. Third, C Cluster named it 'Winning' as words such as 'World Cup Winning', 'Champion', 'France', 'Argentina', 'Lionel Messi', 'Advertising' and 'Photograph' formed a group. Fourth, D Cluster named it 'Official Ball' as words such as 'Official Ball', 'World Cup Official Ball', 'Soccer Ball', 'All Times', 'Al Rihla', 'Public', 'Technology' was formed into groups.

• Proceedings of the Korea Information Processing Society Conference
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• 2011.04a
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• pp.447-450
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• 2011

This paper shows the application of P-N Learning [4] method in the soccer ball detection and improvement for increasing the speed of processing. In the P-N learning, the learning process is guided by positive (P) and negative (N) constraints which restrict the labeling of the unlabeled data, identify examples that have been classified in contradiction with structural constraints and augment the training set with the corrected samples in an iterative process. But for the long-view in the soccer game, P-N learning will produce so many ferns that more time is spent than other methods. We propose that color histogram of each frame is constructed to delete the unnecessary details in order to decreasing the number of feature points. We use the mask to eliminate the gallery region and Line Hough Transform to remove the line and adjust the P-N learning's parameters to optimize accurate and speed.