• Title/Summary/Keyword: 홈트레이닝 앱

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A Study on Reward-based Home-training App Users Using a Cash-cow User Prediction Model (캐시카우 사용자 예측 모델을 통한 리워드형 홈트레이닝 앱의 운영 및 관리 전략에 관한 연구)

  • Sanghwa Kim;Jinwook Choi;Byungwan Koh
    • Information Systems Review
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    • v.23 no.4
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    • pp.183-198
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    • 2021
  • Due to the Covid-19 pandemic, the home-training app market is growing rapidly and numerous apps are entering the market. It is becoming more difficult for an app to secure the profitability. In this study, by analyzing actual user data of a reward-based home-training app, we propose a model that predicts cash-cow users of the app. Cash-cow users are the users who watch in-stream ads to watch training videos although they cannot earn any rewards by doing so. Thus, these users make profits for the app yet do not incur any costs. The results of this study show that the users who irregularly watch training videos are more likely to be cash-cow users than the users who regularly watch training videos. This result suggests that, paradoxically, for sustainable profitability, home-training apps may need to find a way to retain the users who watch training videos irregularly so that they can be satisfied with the service and continue use the apps.

Effect of Home Training using the App on Metabolic Syndrome Risk Factors and Atherogenic Index in Obese Middle-Aged Women

  • Lee, Jin-Wook;Park, Sung-Soo
    • Journal of the Korea Society of Computer and Information
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    • v.27 no.4
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    • pp.193-203
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    • 2022
  • The purpose of this study was to analyze the effect of home training with app on metabolic syndrome risk factors and atherogenic index in on obese middle aged women. It was carried out to present as an intervention method for improving obesity in the pandemic era of COVID-19. The subjects of this study were 33 obese middle aged women, AHTG(n=15) and CG(n=18). Home training using the app for 8 weeks was conducted 3 times a week. The results of this study as follow, metabolic syndrome risk factors was WC(p<.001) significantly decreased, HDL-C(p<.05) significantly increased and atherogenic index was LDL-C/HDL-C(p<.01) significantly increased in the AHTG. In the era of the COVID-19 pandemic, PA plays an important role in alleviating the severe COVID-19 pandemic, in addition to its ameliorating effects on several chronic diseases. The possibility of home training using an app is an effective intervention method for preventing obesity and metabolic syndrome.

Effect of Using Home Training App on Quality of Life in the Untact Era (홈 트레이닝 앱 사용이 언택트 시대의 삶의 질에 미치는 영향)

  • Chen, Qiuying;Lee, Sang-Joon
    • The Journal of the Institute of Internet, Broadcasting and Communication
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    • v.22 no.6
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    • pp.155-163
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    • 2022
  • In order to avoid the spread of Covid-19, outdoor activities are decreasing worldwide and the time spent at home is increasing. As physical activity declines, the number of people who feel bored, restless and immune deficient is increasing. As indoor life becomes more permanent, multiple approaches to home workout are becoming active. This paper examines how the Covid blue (boredom and social anxiety) produced in the no-touch era affects quality of life through the use of home training applications. Questionnaires were collected from Chinese people using a website dedicated to Chinese questionnaires, and finally 383 appropriate data were analyzed using SPSS24.0 and AMOS24.0. The research results showed that the actual experience of using home workout had a positive impact on quality of life. The higher the user's sense of social unease about being late in the untact, It was found that the higher the social anxiety perceived by users about the untact era, the higher the interactivity and exercise satisfaction with the home workout app. Home workout application can improve exercise satisfaction and quality of life, which are more positive effects beyond the result of resolving consumers' boredom. Therefore, it can be used as a channel for digital services.

Personalized health app with AI, 'AFit' (AI를 적용한 맞춤형 헬스 앱, 'AFit')

  • Park, Seon-hwa;Yang, Eun-Jin;Park, Jun-Seong;Son, Min-Ji;Lee, Sang Goo
    • Proceedings of the Korean Society of Computer Information Conference
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    • 2021.07a
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    • pp.341-342
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    • 2021
  • 본 논문에서는 운동 관련 빅데이터를 적용한 인공지능을 활용하여 개개인에게 알맞은 운동 루틴을 추천해 주는 비대면 방식 PT를 제안한다. 이 정책은 '건강한 사람이 앱을 만나 더 건강해진다.'는 모토를 중심으로, 홈 트레이닝을 하고 싶지만 운동방법을 모르는 사람들로 하여금 자신에게 맞추어진 루틴 구성을 통해 운동 수행능력의 효율성을 높이고, 잘못된 자세로 인한 부상 등을 최소화한다. 또한 이 정책은 기존의 일일이 사용자가 입력해야 했던 시스템들에서 머신러닝을 통한 AI 알고리즘을 통한 추천을 통해 비대면 방식의 수동적인 운동 방식에서 AI가 트레이너 역할을 해주는 방식으로 사용자와 상호작용하고, 정확한 운동 목표를 추천함으로써 운동 지속성과 동기성을 부여한다. 본 논문에서는 프로토타입을 통해 제안하는 AI를 적용한 맞춤 헬스 정책이 기존의 헬스 앱 업계에서 시장성을 보일 수 있다는 가능성에 의의를 둔다.

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Path Setting Running App for Beginners, 'OnTheRiver' (초보자를 위한 경로 설정형 러닝 앱, 'OnTheRiver')

  • Yu, Dae-Sang;Kim, Gyu-Ho;Jeong, Bo-Ram;Park, Ji-Woo;Jeon, Yoo-Jin;Ahn, You Jung
    • Proceedings of the Korean Society of Computer Information Conference
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    • 2022.01a
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    • pp.239-240
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    • 2022
  • 코로나로 인해 비대면 생활이 지속되면서, 사람들은 실외 운동 및 만남 장소로 한강과 같이 탁 트인 야외를 찾고 있다. 이는 MZ 세대들의 건강과 몸매 가꾸기 등 자기관리에 대한 관심이 증가하는 트렌드와 시너지 효과를 내고 있다. 이러한 현상은 등산, 바디프로필, 필라테스, 헬스, 홈 트레이닝 등 운동에 대한 활동의 비약적 증가로 이어진다. 본 연구에서는 위의 두 가지 트렌드 흐름을 기반으로, 러닝을 시작하고 싶은 초보자들이 한강 공원에서 가볍게 시작할 수 있도록 하는 모바일 운동 앱인 'OnTheRiver'를 설계 및 구현하게 되었다.

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Development of Smart Athleisure Fashion for Dumbbell Economy -Focused on the Analysis of Upper and Lower body muscle strength by angle- (덤벨 이코노미 현상을 반영한 스마트 애슬레저 패션 개발 -상·하체의 각도별 근력운동을 중심으로-)

  • Kim, Ga-Yeon;Kim, Youn-Hee
    • Journal of the Korea Convergence Society
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    • v.12 no.3
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    • pp.165-176
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    • 2021
  • Recently, interest in home training and changes in lifestyle are expanding the market in the healthcare field, and high value-added fashion products reflecting the dumbbell economy phenomenon are being released. This study had the following objectives: to investigate the possibility of developing a fashion item that can be applied to the dumbbell economy phenomenon; to develop the UI/UX of a smartphone application for beginners who wish to work out their upper and lower bodies regardless of time and space; and to create a wearable customized smart athleisure fashion device. First, the study identified factors related to exercise methods, breathing techniques, and range of exercises for beginners by investigating the postures of workouts of the upper and lower bodies by angles. Based on the results, the study collected empirical data through a user needs analysis from muscle strengthening exercise experts to verify the significance of the study and use as fundamental data. Second, the study developed the UI/UX of a smartphone application with three different contents: counting, suggesting exercise postures, and providing exercise calendars. Further, the study analyzed necessary user-centered concepts and characteristics in terms of design and technology and developed a wearable customized smart athleisure fashion device based on the results.