• Title/Summary/Keyword: 이트레이닝

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Ultra-Wide Band Sensor Tuning for Localization and its Application to Context-Aware Services (위치추적을 위한 UWB 센서 튜닝 및 상황인지형 서비스에의 응용)

  • Jung, Da-Un;Choo, Young-Yeol
    • Journal of the Korea Institute of Information and Communication Engineering
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    • v.12 no.6
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    • pp.1120-1127
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    • 2008
  • This paper presents implementation of localization system using UWB (Ultra-Wide Band) sensors and its experimental results along with development of context-aware services. In order for precise measurement of position, we experimented various conditions of pitch angles, yaw angles, number of sensors, height of tags along with measuring errors at each installation. As an application examples of the location tracking system, we developed an intelligent health training management system based on context-aware technology. The system provides appropriate training schedule to a trainee by recognizing position of the trainee and current status of gymnastic equipments and note the usage of the equipment through a personal digital assistant (PDA). Error compensation on position data and moving direction of the trainee was necessary for context-aware service. Hence, we proposed an error compensation algorithm using velocity of the trainee. Experimental results showed that proposed algorithm had made error data reduce by 30% comparing with the data without applying the algorithm.

A personalized exercise recommendation system using dimension reduction algorithms

  • Lee, Ha-Young;Jeong, Ok-Ran
    • Journal of the Korea Society of Computer and Information
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    • v.26 no.6
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    • pp.19-28
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    • 2021
  • Nowadays, interest in health care is increasing due to Coronavirus (COVID-19), and a lot of people are doing home training as there are more difficulties in using fitness centers and public facilities that are used together. In this paper, we propose a personalized exercise recommendation algorithm using personalized propensity information to provide more accurate and meaningful exercise recommendation to home training users. Thus, we classify the data according to the criteria for obesity with a k-nearest neighbor algorithm using personal information that can represent individuals, such as eating habits information and physical conditions. Furthermore, we differentiate the exercise dataset by the level of exercise activities. Based on the neighborhood information of each dataset, we provide personalized exercise recommendations to users through a dimensionality reduction algorithm (SVD) among model-based collaborative filtering methods. Therefore, we can solve the problem of data sparsity and scalability of memory-based collaborative filtering recommendation techniques and we verify the accuracy and performance of the proposed algorithms.

A Study on Analysis of Pilates-related Patent Information (필라테스 분야 특허 정보 분석에 관한 연구)

  • Chi, Dong-Cheol;Kim, Jong-Hyuck
    • Journal of the Korea Convergence Society
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    • v.13 no.4
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    • pp.513-519
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    • 2022
  • The 4th industrial revolution has made our life convenient, and the development of new technologies has brought affluent life. Considering that the 4th industrial revolution is a next-generation industrial revolution led by robot technology, life science, and artificial intelligence, the need for convergence research in sports field stimulated the continuous efforts for the academic foundation of sports. Recently, as interest in home training has increased due to the COVID-19 pandemic, the Pilates has also attracted much attentions demand for related supplies has increased. This is an demonstration that COVID-19 has had an impact on the sports industry ecosystem. The purpose of this study was, accordingly, to identify current trends through accurate patent information related to Pilates and to provide basic data for future studies on sports convergence industry and sports intellectual property. For the purpose, based on the data from Jan. 1 to Dec. 31, 2021 provided by KIPRIS (www.kipris.or.kr), the patent information search service provided by the Korean Intellectual Property Office, patent status analysis, international patent classification (IPC) patent analysis, and detailed patent analysis by classification were performed.

The Effects of Changes In Body Composition Through High Intensity Circuit Training On Spine Curvature And Low Back Pain Among Middle-Aged Men With Abdominal Obesity (고강도서키트트레이닝에 의한 신체조성의 변화가 복부비만 중년남성의 척추만곡도와 요부통증에 미치는 영향)

  • Kim, Chae-Won;Kim, Jung-Hoon
    • Journal of the Korea Academia-Industrial cooperation Society
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    • v.19 no.5
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    • pp.346-356
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    • 2018
  • Overweight and abdominal obesity caused by sedentary lifestyle may induce deconditioned and atrophied extensor musculature of the lumbar spine and be a potential risk factor for low back pain (LBP). Therefore, this study was conducted to evaluate the validity of high intensity circuit training (HICT) on weight loss and subsequent alleviation of spine curvature (SC) and visual analog scale (VAS) among middle aged men with abdominal obesity. The training program (1 exercise session for 30 minutes, three times a week for 12 weeks) consisted of 12 different functional exercises based on core strengthening multiple joint circuit training. Portions of the obesity index related to body composition were positively changed, which improved the angles of thoracic kyposis and lumbar lordosis, which appeared to effectively reduce lower back pain. Taken together, HICT specifically designed for LBP effectively decreased obesity related body composition and was superior to other treatments for decreasing aggravation of the spine curvature and LBP caused by abdominal obesity; however, weight loss should be the primary treatment target for LBP patients.

Effects of red ginseng supplementation on aerobic.anaerobic performance, central and peripheral fatigue (홍삼 섭취가 유.무산소성 운동수행능력과 중추 및 말초피로에 미치는 영향)

  • Yoon, Sung-Jin;Kim, Ki-Hyung;Kim, Chang-Ju;Park, Hae-Chan;Kang, Kyung-Hee;Kim, Moo-Jung;Kang, Sung-Mok;Kwak, Uk-Heon;Kim, Hyung-Joon
    • Journal of Ginseng Research
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    • v.32 no.3
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    • pp.210-219
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    • 2008
  • The purpose of this study is to examine the effect of red ginseng on the performance of aerobics anaerobics exercise and peripheral central fatigue. For this purpose, we measured $\dot{V}O_2max$, $\dot{V}O_2$ at recovery, anaerobic power, blood lactate, Branched-Chain Amino Acid(BCAA) etc in thirty male subjects. They were divided into three group; EGG: endurance training + red ginseng supplementation group(n=7), EPG: endurance training + placebo supplementation group(n=7), GG: only red ginseng supplementation group(n=10). 6 subjects were excepted because they were intermediate test absence(test at four week : EGG=1, EPG=2; test at eight week : EGG=1). EGG and GG took red ginseng twice a day for total 8weeks. Moreover, EGG and EPG were exercised during 45 minutes, three times a week for 12 weeks. The result of this study are shown as follow: In case of $\dot{V}O_2max$, %$\dot{V}O_2$/$\dot{V}O_2max$ and plasma BCAA concentration, no statistically significant change were found among three groups. But, it was showed that three groups tended to increased slightly in $\dot{V}O_2max$, % $\dot{V}O_2$/$\dot{V}O_2max$ and plasma BCAA concentration. For conclusion, the present data provide a new evidence that ingestion of ergogenic aids contained with red ginseng may improve aerobic exercise performance and central fatigue.

Non-face-to-face online home training application study using deep learning-based image processing technique and standard exercise program (딥러닝 기반 영상처리 기법 및 표준 운동 프로그램을 활용한 비대면 온라인 홈트레이닝 어플리케이션 연구)

  • Shin, Youn-ji;Lee, Hyun-ju;Kim, Jun-hee;Kwon, Da-young;Lee, Seon-ae;Choo, Yun-jin;Park, Ji-hye;Jung, Ja-hyun;Lee, Hyoung-suk;Kim, Joon-ho
    • The Journal of the Convergence on Culture Technology
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    • v.7 no.3
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    • pp.577-582
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    • 2021
  • Recently, with the development of AR, VR, and smart device technologies, the demand for services based on non-face-to-face environments is also increasing in the fitness industry. The non-face-to-face online home training service has the advantage of not being limited by time and place compared to the existing offline service. However, there are disadvantages including the absence of exercise equipment, difficulty in measuring the amount of exercise and chekcing whether the user maintains an accurate exercise posture or not. In this study, we develop a standard exercise program that can compensate for these shortcomings and propose a new non-face-to-face home training application by using a deep learning-based body posture estimation image processing algorithm. This application allows the user to directly watch and follow the trainer of the standard exercise program video, correct the user's own posture, and perform an accurate exercise. Furthermore, if the results of this study are customized according to their purpose, it will be possible to apply them to performances, films, club activities, and conferences

Review of Land Cover Classification Potential in River Spaces Using Satellite Imagery and Deep Learning-Based Image Training Method (딥 러닝 기반 이미지 트레이닝을 활용한 하천 공간 내 피복 분류 가능성 검토)

  • Woochul, Kang;Eun-kyung, Jang
    • Ecology and Resilient Infrastructure
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    • v.9 no.4
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    • pp.218-227
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    • 2022
  • This study attempted classification through deep learning-based image training for land cover classification in river spaces which is one of the important data for efficient river management. For this purpose, land cover classification analysis with the RGB image of the target section based on the category classification index of major land cover map was conducted by using the learning outcomes from the result of labeling. In addition, land cover classification of the river spaces was performed by unsupervised and supervised classification from Sentinel-2 satellite images provided in an open format, and this was compared with the results of deep learning-based image classification. As a result of the analysis, it showed more accurate prediction results compared to unsupervised classification results, and it presented significantly improved classification results in the case of high-resolution images. The result of this study showed the possibility of classifying water areas and wetlands in the river spaces, and if additional research is performed in the future, the deep learning based image train method for the land cover classification could be used for river management.

Certificate Status Validation Method using Signer Information (서명자 정보를 이용한 인증서 상태 검증 기법)

  • 김현철;이용준;백주호;오해석
    • Proceedings of the Korean Information Science Society Conference
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    • 2004.04a
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    • pp.208-210
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    • 2004
  • 인증서 상태 검증이란 해당 거래에서 사용되는 인증서에 대한 유효성을 결정하는 과정으로 인증서를 이용하는 거래에 90%이상이 실시간적이고 신속 정확한 처리를 필요로 하는 인터넷뱅킹과 증권 트레이닝에 사용된다. 하지만 기존의 CRL을 이용한 인증서 상태 검증 기법은 인증서 상태의 대한 실시간성을 반영할 수 없다는 문제점이 있다. 이와 같은 CRL 기반의 인증서 상태 검증 기법의 문제점을 해결하고자 OCSP를 이용한 인증서 상태 검증 기법이 제기되었다. 이 기법은 인중서 상태에 대한 실시간성 문제는 해결 한 수 있었지만 OCSP 서버에 대한 중앙 집중화 처리구조로 인해 네트워크 과부하라는 또 다른 문제가 발생한다. 따라서 본 논문에서는 서명자가 인증서 발급을 요청하고 이에 따른 결과로 인증서가 인증기관으로부터 발급되었을 때 서명자정보와 인증서 일련번호가 인증기관 데이터베이스에 매칭 되어 저장된다는 점에 기인하여 위에 문제점들을 해결할 수 있는 서명자의 정보를 이용한 인증서 상태 검증 기법을 제안한다.

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Effects of a High-Intensity Interval Training Program on the Fitness and Performance of Firefighters (고강도 인터벌 트레이닝(HIIT)이 소방공무원의 체력 및 업무능력에 미치는 영향)

  • Kim, Cherho;Ji, Changjin;Kim, Sangho
    • Fire Science and Engineering
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    • v.34 no.2
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    • pp.97-102
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    • 2020
  • The purpose of this study was to investigate the effectiveness of a Tabata exercise program as an alternative for firefighters whose working environment makes it difficult to manage physical fitness. The Tabata exercise program, in which 16 people participated, led to increased muscle mass and reduced weight and body fat, which not only improved the health of the firefighters but also improved their cardiopulmonary endurance, muscle endurance, and muscle strength, which are essential elements during firefighting emergency relief activities. On the basis of these results, it is believed that developing and providing guidelines for scientific and systematic exercise programs to firefighters will lead to better work capability during fire and disaster situations.

Analysis of the Ground Reaction Forces by the Dancesport Rumba Backward Walk Step (댄스스포츠 라틴댄스 룸바 Backward Walk 동작시 지면반력 변인 분석)

  • Yoo, Hye-Suk;In, Hee-Kyo;Choi, In-Ae
    • Korean Journal of Applied Biomechanics
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    • v.18 no.1
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    • pp.129-135
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    • 2008
  • This research was examined the effect of Backward Walk on ground reaction force and we achieved it by using ground reaction force machine during the Backward Walk activity with Latin and Rumba dance. We find that it was significant difference of vertical(Fz) ground reaction force of right foot in touchdown and toe-off and vertical(Fz), horizontal(Fx), front-rear(Fy) ground reaction force of left foot. There was not significant differences in vertical ground reaction force between superior athlete and unskilled athlete, but there was a significant difference in left foot. Through this, we know that the sports capability of left foot which has been developed through the training is better in superior athlete group. Therefore understanding of difference in ground reaction force and repeated training can help the unskilled athlete and beginner to accomplish the accurate movement.