• Science of Emotion and Sensibility
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• v.20 no.3
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• pp.119-130
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• 2017

The purpose of the study is discovering the effects of virtual competitors on user in AR (Augment Reality) home training system. Specifically, the current research examined their effects on immersion, perceived competition, and leaning motivation. The paper tested three unexplored relationship. First, introducing virtual competitors in home training system will enhance user's immersion. Second, presenting virtual competitors in home training system will increase user's perceived competition. Third, virtual competitors in home training system will raise user's learning motivation. For empirical analysis, we developed home training system, which could check and give feedback automatically, based on user's posture. Using this AR home training system, the study empirically shows how and why virtual competitors affect users. The results give implications not only on service design; but also on the idea that virtual other could affect user's behavior.

• Journal of the Korea Convergence Society
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• v.9 no.4
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• pp.261-269
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• 2018

The purpose of this study was to determined the converge effects of Kaatsu treatment on body compositions, physical fitness and dynamic and static balance during unmilled rice dumbbell exercise in older women. They are divided into three groups(Kaatsu treatment+exercise, n=12, non-Kaatsu treatment+exercise, n=11, Control, n=12). In this study, there were a no significant differences on body weight and lean body mass and body mass index between the group, but there was a significant differences on percent of body fat between the group(P<.001). There was a significant differences on left grip strength between the group, and significant differences on flexibility and agility after the unmilled rice dumbbell exercise training. There were a significant differences on the dynamic and static balance between the group after the unmilled rice dumbbell exercise training(respectively P<.001, P<.05).

• Journal of Digital Contents Society
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• v.19 no.7
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• pp.1225-1235
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• 2018

In this study, as a part of practical and customized smart contents development planning research related to smart fitness contents associated with smart wear that can monitor physical activity, we investigated the potential needs for smart fitness contents through research. As a result, the potential needs for smart fitness contents is 'accessibility to use', 'inducement of interest', 'diverse story line' were derived at the stage of 'before exercise', 'Real - time voice coaching', 'accurate exercise posture monitoring', and 'personalized exercise prescription' were derived at the stage of 'during exercise'. At the stage of 'after exercise', 'substantial reward system', 'grading system', 'body figure change monitoring' and 'everyday life monitoring' were derived. At the stage of 'connection to the next exercise', 'triggering exercise motivation', 'high sustainability' wear derived.

• Journal of Life Science
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• v.18 no.9
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• pp.1278-1283
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• 2008

The purpose of this study was to investigate the effects of 12-week aerobic exercise training on cardiac QT intervals and cardiovascular risk profiles in type 1 diabetic children. Eleven type 1 diabetic children aged 9-17 years took part in this study as subject. The participants performed aerobic exercise training three times a week for total 12 weeks. The intensity of the training was adjusted at HRR 45% until three weeks and at HRR 55% since four weeks. After a 12-week aerobic exercise training systolic (p<0.05) and diastolic (p<0.05) blood pressure of the subjects was decreased. There was significant decrease in cardiac QT intervals (p<0.05), TC level (p<0.05), and HDL-C level (p<0.05). Therefore, the results of this study suggest that long-term regular physical activity of type 1 diabetic children considered exercise intensity and frequency may effect and play a important role in the prevention of diabetic complications and cardiovascular health care.

• The Monthly Diabetes
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• s.285
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• pp.35-40
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• 2013

최근 몸짱에 대한 열풍은 연예인들이 몇 달간 식이요법과 유산소 운동 그리고 웨이트 트레이닝을 통한 자기관리로 멋진 근육을 드러내 보이면서 많은 이들에게 호감을 갖게 한다. 운동의 효과는 전세계적으로 하루에도 수십편의 연구논문들이 쏟아져 나오고 있다. 현재까지 죽상동맥경화로 인한 심혈관 질환과 뇌혈관질환의 예방과 치료에 있어 운동은 절대적인 역할을 하고 있다. 뇌심혈관질환의 위험요인 중 흡연이나, 음주, 비만, 당뇨, 고혈압 외에 증상이 거의 없어 고혈압과 더불어 "침묵의 살인자"라고 불리우는 고지혈증은 건강검진을 받아보다가 우연하게 발견되기도 한다. 일반인들도 뇌심혈관질환에 위험요인이 위 항목들인 것을 대부분 알고 있지만 운동을 하지 않는 좌업식 생활을 하는 비활동인이 뇌심혈관 질환의 위험요인으로 포함된 것은 오래된 일이 아니다. 이번을 기회로 운동의 중요성을 언급하면서 고지혈증과 운동을 중심으로 기술하고자 한다.

• 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.

• Proceedings of the Korea Information Processing Society Conference
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• 2021.11a
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• pp.470-473
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• 2021

본 논문에서는 코로나-19로 인해 홈 트레이닝 시장이 성장하고 있는 상황 속에서 효율적인 운동을 위해 사용자의 식습관, 신체조건, 선호도 등을 바탕으로 적합한 운동을 추천해주는 시스템을 제안한다. 먼저 K-최근접 이웃 알고리즘을 활용해 비만의 정도에 따라 사용자를 분류하고, 운동 데이터를 소모 칼로리에 따라 클러스터링 한다. 다음으로 비만의 정도와 운동 레벨에 따라 정해진 추천 점수를 통해 사전 선호도 확률을 계산하고, 베이지안 네트워크를 통해 사후 확률을 구한다. 이를 바탕으로 특이값 분해 알고리즘(SVD)를 활용하여 사용자 맞춤형 운동을 추천한다. 제안 시스템의 성능을 검증하기 위해 비교 실험을 진행하여 회귀 문제 평가 척도인 RMSE 값 측면에서 성능을 분석하였다.

• Journal of Digital Convergence
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• v.11 no.11
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• pp.521-528
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• 2013

This study was performed to examine effects of PNF combined pattern training on balance ability and functional ability of hockey players. In order to achieve this purpose, total 28 participants were separated into two group: 14 comparison group and 14 experiment group, and the experiment group performed PNF combined pattern training for 12 week, 3 times a week, 60 minutes a day. Each group was measured beforehand, after 6 week and 12 week. balance ability was measured using GOOD BALANCE system and functional ability was measured using carioca and shuttle-run test. For statistically verifying above measured values, repeated measure analysis of variance was analyzed and have following results. As the comparing results of balance ability, normal standing eye close(NSEC) was ant-post and velocity moment of experiment group showed significant differences(p<.05). And one leg right eye close(OLREC) was ant-post, med-lat and velocity moment of experiment group showed significant differences (p<.05). Also, dynamic balance ability was ant-post and velocity moment of experiment groups showed significant differences(p<.05). As the comparing results of functional ability, shuttle-run of experiment group sowed significant differences(p<.05). From above results, balance ability of hockey players was shown to be improved through symmetric training of PNF combined pattern applied to hockey players, and it can be considered that this is actively recommended for training method to improve athletic performance of hockey players.

• 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.

• Journal of the Korea Institute of Information and Communication Engineering
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• v.25 no.9
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• pp.1183-1189
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• 2021

There have been recently an increasing number of people working out at home. However, many of them do not have face-to-face guidance from experts, so they cannot effectively correct their wrong pose. This may lead to strain and injury to those doing home training. To tackle this problem, this paper proposes a video data-based pose classification and correction system for home training. The proposed system classifies poses using the multi-layer perceptron and pose estimation model, and corrects poses based on joint angels estimated. A voting algorithm that considers the results of successive frames is applied to improve the performance of the pose classification model. Multi-layer perceptron model for post classification shows the highest accuracy with 0.9. In addition, it is shown that the proposed voting algorithm improves the accuracy to 0.93.