• KSII Transactions on Internet and Information Systems (TIIS)
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• v.11 no.12
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• pp.6069-6091
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• 2017

Augmented Reality (AR) overlays virtual information on real world data, such as displaying useful information on videos/images of a scene. This paper presents an Enhanced AR (EAR) system that displays useful statistical players' information on captured images of a sports game. We focus on the situation where the input image is degraded by strong sunlight. Proposed EAR system consists of an image enhancement technique to improve the accuracy of subsequent player and face detection. The image enhancement is followed by player and face detection, face recognition, and players' statistics display. First, an algorithm based on multi-scale retinex is proposed for image enhancement. Then, to detect players' and faces', we use adaptive boosting and Haar features for feature extraction and classification. The player face recognition algorithm uses boosted linear discriminant analysis to select features and nearest neighbor classifier for classification. The system can be adjusted to work in different types of sports where the input is an image and the desired output is display of information nearby the recognized players. Simulations are carried out on 2096 different images that contain players in diverse conditions. Proposed EAR system demonstrates the great potential of computer vision based approaches to develop AR applications.

• International journal of advanced smart convergence
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• v.4 no.2
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• pp.163-169
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• 2015

This study proposes a sports simulation device with various harmonics generation. The proposed system is composed of 6 degrees of freedom simulator devices and three types of sports simulation such as walking, snowboard, and jet-ski. In this research, every joint movement is designed with a crank-and-slider mechanism, which is efficient for generating continuous curvature smoothly. Contrary to the conventional spatial simulator with linear actuators, harmonics generation and its spatial combinations become the crucial issue in this research. The harmonic pattern in each joint is modelled for generating smooth curvatures that are also superposed for achieving overall motions. In addition, the targeted motions of sports simulations have different physical factors of periodic gait motion, frictionless surface, and buoyant effects, which are respectively designed by integrating three dimensional graphics information.

• Journal of the Korea Convergence Society
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• v.11 no.4
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• pp.151-156
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• 2020

The purpose of this study is to design a process for developing wearable sports helmet devices by utilizing IoT server technology, focusing on sports where helmet wear is essential at sports sites. This enables customized training of athletes by continuously accumulating personal biometric information during training, checking players' condition based on data, and informing them of injury prevention and dangerous situations. In addition, the wearable device that can be useful when the training place is likely to damage the physical health due to heat waves or extremes can provide a foundation for improving the performance. Since such technology can be applied not only to the sports field but also to the society such as the industrial field or the underprivileged, it can be expected to be expandable.

• 한국체육학회지인문사회과학편
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• v.56 no.4
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• pp.397-413
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• 2017

The purpose of this study is to introduce the case and to provide related information for the physical education major to handle and utilize the social big data through the exploratory study for the application of sports industry in the fourth industrial revolution. For this study, data was collected from the article database, which covers the keyword such as 'Social Big Data', 'Sports' and so on. The analyzed articles were 86 articles. As a results, The research on social big data applied to sports industry are as follows: 1) Analysis of major issues related to sports fans' interests and sports events, 2) A study on media sports engagement, 3) The prediction analysis of sports game based on the sentiment analysis, 4) Development of salary estimation model for professional player in sports, 5) Research trend analysis and so on. In conclusion, the social big data analysis technology in the sports industry and management can be utilized variously. Therefore, the specialists of the sports industry and management field need to learn the techniques, to acquire the know-how for the research project, to convert the convergence thinking.

• Journal of Intelligence and Information Systems
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• v.28 no.3
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• pp.57-79
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• 2022

COVID-19, which started in December 2019, has had a great impact on our lives in general, including politics, economy, society, and culture, and activities in sports and arts have also been significantly reduced. In the case of sports, sports for all fields in which ordinary citizens participate were particularly affected, and cases of infection in places closely related to people's lives, such as gyms, table tennis, and badminton clubs, also amplified the social fear of the spread of COVID-19. Therefore, in this study, we analyzed news articles related to sports for all at the time when COVID-19 was first spread, and investigated what issues were emerging and being discussed in the sports for all field under the COVID-19 situation. Specifically, we collected news articles dealt with sports for all issues under the COVID-19 situation from Korea's leading portal news sites and identified key sports for all issues by performing topic modeling on these articles. Through the analysis, we found meaningful issues such as COVID-19 outbreak in sports facilities and support for sports activities. In addition, through wordcloud analysis of these major issues, we visually understood the issues and identified the changes in these issues over time.

• Journal of the Korean Applied Science and Technology
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• v.37 no.5
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• pp.1409-1417
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• 2020

The purpose is to increase the likelihood of physical education students for employment in public institutions by examining the priority for hiring sports-related public institutions. The subject of the study was purposeful sampling of a total of 11 persons including 4 sports professors, 3 NCS experts in sports field, 2 judges from public sports institutions, and 2 personnel in charge of hiring public institutions. Through this process, from January 3 to March 12, 2020, the importance of priority was analyzed using hierarchical structure analysis using the main factors of NCS vocational basic competency. All data are coded so that statistical processing can be performed. Using SPSS/PC (ver. 21.0) for Windows, the hierarchical structure analysis was used for frequency analysis and priority determination. First, communication skills (.231), organizational comprehension skills (.177), resource management skills (.128), interpersonal skills (.110), vocational ethics (.082), problems in the major areas of recruitment of sports-related public institutions Solving ability (.061), information ability (.056), mathematical ability (.054), self-development ability (.052), and description ability (.049) were analyzed in order. Second, in terms of evaluation items, communication is communication skills (.442), mathematical skills are basic computation skills (.512), problem solving skills are thinking skills (.722), self-development skills are self-management skills (.587), Resource management ability was analyzed in order of time management ability (.531), interpersonal relationship ability as teamwork ability (.382), information ability in computer use ability (.677), technical ability in technology understanding ability (.599).

• Proceedings of the Korea Information Processing Society Conference
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• 2016.04a
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• pp.858-860
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• 2016

최근 스포츠와 ICT 기술의 융합으로 스크린 스포츠라는 분야가 등장하였고, 스포츠 클라이밍도 스크린 스포츠로 구현하려는 시도가 이루어지고 있다. 이를 위해서는 실내 인공암벽에서 등반자의 모습을 추적해야 하는데, 이에 앞서 사람의 영역을 검출할 필요가 있다. 사람의 영역을 검출하는 데에는 키넥트를 이용하는데, 스켈레톤 정보와 영상 정보를 이용할 수 있다. 본 논문에서는 깊이 영상을 사용하여 등반자의 영역을 검출하는 방법을 제시한다. 실내 인공암벽 환경에서는 등반자 이외에 주변환경의 변화가 없으므로 등반자의 영역 검출을 위해 차영상을 적용한다.

• Proceedings of the Korea Information Processing Society Conference
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• 2016.04a
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• pp.868-870
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• 2016

균형 조절 능력 저하를 진단하고 치료하기 위해서는 자세 조절 능력을 객관적으로 평가하는 것이 매우 중요하다. 임상에서 사용하는 자세검사기는 고감도 압력센서를 사용하기 때문에 종래의 임상적 검사보다 객관적이고 정량적으로 자세 불안정성을 평가할 수 있다. 하지만 일반적으로 사용하는 자세검사기는 차지하는 공간이 크고 비싼 가격 때문에 소규모 병원이나 개인이 사용하기에는 어려움이 있다. 이에 본 논문에서는 키넥트와 위 밸런스 보드에서 획득한 정보를 이용하여 자세 불안정성을 평가하는 저비용 자세검사 시스템을 제안한다. 본 논문에서 제안한 자세검사 시스템을 실제 임상 환경에 적용한다면 간편하고 정량적으로 자세 조절 능력을 평가할 수 있는 환경을 제공할 수 있을 것이다.

• Proceedings of the Korea Information Processing Society Conference
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• 2016.04a
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• pp.879-882
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• 2016

본 논문은 인공암벽에 부착된 홀드의 형태 및 위치 인식 시스템을 제안한다. 스크린 클라이밍 시스템에 있어서 인공암벽에 부착된 홀드의 형태와 위치 데이터는 다양한 정보로 활용되지만 사람이 수작업으로 계산하기에는 어려움이 따른다. 홀드의 형태가 각기 다르며, 인공암벽에 부착된 홀드의 수가 보통 수백 개 이상 되기 때문이다. 따라서 제안하는 인식 기술을 통하여 자동으로 홀드의 형태와 위치 데이터를 계산할 수 있게 한다. 홀드의 형태는 스네이크 알고리즘으로 윤곽선을 추출해 인식하며, 홀드의 위치는 추출된 윤곽 데이터의 무게중심 점을 계산하여 인식한다.

• The Journal of the Korean dental association
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• v.56 no.6
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• pp.339-347
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• 2018

Conventional mouthguard fabrication process which consists of elastomeric impression taking and followed gypsum model making is changing into intraoral scanning and dental model printing with 3D printer. In addition, new 3D printing materials for mouthgurad, 3D Computer-Aided Design(CAD) software for dental appliance, evaluation of a virtual dentoalveolar model for testing virtually 3D designed mouthguard, and lightweight sensor technology will lead dental professionals to the new era of Sports Dentistry, including information technology integrated custom mouthguard fabrication and creating value with analytic data acquired from sensors in mouthguard.