• Proceedings of the Korea Information Processing Society Conference
• /
• 2020.11a
• /
• pp.153-155
• /
• 2020

가상환경 홈 트레이닝 시스템은 바이러스, 날씨, 환경 등으로 인해 외부활동이 제한된 경우 실내에서도 실외에서 운동하는 것과 같은 효과를 얻기 위하여 구성하였다. 사용자는 실내에서도 vr 기기를 사용함으로써 가상환경을 통해 보다 실감나는 환경으로 운동을 할 수 있다

• Journal of the Korean Applied Science and Technology
• /
• v.38 no.3
• /
• pp.860-869
• /
• 2021

This study tried to provide basic data for predicting consumers by applying the structural analysis method (SEM) to the causal relationship model that applied the technology acceptance theory for mobile home training, exercise commitment, and continuous intention. Therefore, in order to identify the strategic tools due to the current COVID-19 pandemic, the survey was conducted using the mobile program "Survey Monkey" according to the sampling plan from February 1, 2021 to May 21, 2021, and a total of 287 valid samples. people were used in the final analysis of consumers. As a result of the study, it was found that the acceptance model had a significant effect(+) on exercise commitment, and the acceptance model had a significant effect(+) on the exercise continuation intention. Finally, it was found that exercise commitment had a significant(+) effect on exercise continuity intention.

• Journal of The Korean Association of Information Education
• /
• v.19 no.1
• /
• pp.99-112
• /
• 2015

While youth health is getting worse and worse, various physical improvements programs are being operated in schools. However, self-learning fitness management without the guidance of a teacher has various limitations. Fitness management applications may be helpful to overcoming the limitations. But as they are mostly developed for adults, young people will have limitations in using them. Therefore, this study is intended to develop a physical activity promotion system (application) which will enable young people to do self-learning fitness management. The features of the application are that it is classified as home training and school training, providing various physical activity programs, and added with interesting elements for continuous use. The results of application have revealed that student test groups experienced improvement in fitness health and showed positive reponses to satisfaction of the application, exercise hours, and continuous use.

• Journal of the Korean Applied Science and Technology
• /
• v.41 no.2
• /
• pp.413-423
• /
• 2024

Sixteen male college students were divided into two groups: a face-to-face group(n=8) and a real-time non-face-to-face exercise group(n=8), engaging in 30minute sessions twice a week for a duration of 8 weeks. Body composition and physical strength were measured as dependent variables before and after the home training period. For data analysis, a two-way ANOVA with repeated measures was conducted to evaluate the effects on body composition and physical strength, considering differences in exercise methods and measurement periods. Post hoc analysis using Bonferroni correction was applied. To compare the mean difference in change between groups, the pre-post difference was calculated, and an independent t-test was performed. The statistical significance level was set at p<.05. The results showed that 8 weeks of home training led to an increase in skeletal muscle mass and improvements in muscle strength, muscular endurance, and cardiorespiratory endurance in male college students, regardless of whether they participated in face-to-face or real-time non-face-to-face exercise. Moreover, there was no significant difference in exercise effectiveness between the face-to-face and real-time non-face-to-face exercise methods. Thus, these findings suggest that real-time non-face-to-face exercise can be as effective as face-to-face exercise in enhancing skeletal muscles and physical strength in male college students. Additionally, if a real-time non-face-to-face exercise program is validated for individuals with mobility issues or the elderly, it could serve as an effective alternative for those who face challenges in participating in face-to-face exercise sessions.

• Proceedings of the Korea Information Processing Society Conference
• /
• 2023.11a
• /
• pp.864-865
• /
• 2023

IoT 홈 트레이닝 시스템은 집 안에서도 정확한 동작으로 운동을 보조해주도록 구성된 시스템으로 사용자가 올바른 자세로 운동을 할 수 있게 보조해준다. 또 앱을 통하여 실시간 운동량을 확인할 수 있으며, 운동 개수를 측정하여 운동에 집중할 수 있게 제공한다. 그러나 개발 측면에서는 각 센서의 위치에 따른 사람들의 신장 차이 등 다양한 변수가 발생하여 해결해야 할 필요가 있다.

• The Journal of the Convergence on Culture Technology
• /
• v.8 no.3
• /
• pp.271-275
• /
• 2022

This study analyzed the characteristics that affect the direction change of public fitness in the current COVID-19 situation. As a result of the study, if public and active fitness-related awareness is strengthened and fitness places require a transition from outdoor fitness to home training, fitness activities require a transition from offline fitness to offline + online sports fitness, and finally, in the case of fitness equipment, there is an increase in demand for home training. Based on these characteristics, this study is expected to help the entire nation achieve athletic life and a healthy society by presenting its course of action on the change of direction of popular movement.

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

• Journal of Digital Convergence
• /
• v.19 no.2
• /
• pp.345-355
• /
• 2021

This study examined the factors that influence the use of YouTube-based home training contents by integrating and applying the technology acceptance model and health belief model. The main results are as follows. First of all, it was found that personal innovativeness had a positive (+) effect on perceived ease and perceived usefulness. Perceived susceptibility did not have a significant effect on perceived usefulness, and perceived benefit had a positive (+) effect on perceived usefulness. Finally, it was found that perceived ease had a positive (+) effect on perceived usefulness, Both perceived ease of use and perceived usefulness were found to have a positive (+) effect on continuous intention to use. This study will be meaningful in that it partially reconfirmed the possibility of integrating the technology acceptance model and the health belief model.

• The Journal of the Convergence on Culture Technology
• /
• v.7 no.3
• /
• pp.577-582
• /
• 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

• Journal of Internet of Things and Convergence
• /
• v.9 no.1
• /
• pp.105-115
• /
• 2023

This study seeks to find a way to induce users to expand their direct participation in sports through the acceptance of digital technology. From July 1 to August 30, 2022, a survey was conducted targeting home training users who applied the Internet of Things (IoT). 129 people participated in the survey through non-face-to-face self-administration method. For data processing, frequency analysis, exploratory factor analysis, reliability analysis, correlation analysis, multiple regression analysis, and 3-step mediation regression analysis were conducted using IBM's SPSS 21.0 program. The results of the study are as follows. First, in the relationship between the home training PPM model and direct participation in sports, ease appeared to have a mediating effect. In the factors of push, simple functionality showed a complete mediating effect, and inefficiency showed a partial mediating effect. Among pull factors, enjoyment and possibility of experience showed a complete mediating effect. In the mooring factors, individual innovativeness showed a complete mediating effect. Second, in the relationship between home training PPM model and direct participation in sports, usefulness showed a mediating effect. In the factors of push, simple functionality showed a complete mediating effect, and inefficiency showed a partial mediating effect. Among pull factors, enjoyment and possibility of experience showed a complete mediating effect. Among the mooring factors, individual innovativeness showed a partial mediating effect. Through this research, it is expected that the sports industry will contribute to the expansion of consumption expenditure and economic growth through the expansion of digital technologies such as NFT, Metaverse, and virtual/augmented reality.