Relevant bibliographies by topics / Home workouts

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  1. Journal articles
  2. Dissertations / Theses
  3. Books
  4. Book chapters
  5. Conference papers

Academic literature on the topic 'Home workouts'

Author: Grafiati
Published: 2 June 2025
Last updated: 31 July 2025

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Journal articles on the topic "Home workouts"

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Caruso, John F., Melissa A. Urquhart, Rachel M. Giebel, et al. "Human Testosterone and Lactate Values from Flywheel Ergometry: Effect of Contractile Mode and Work Volume." Gravitational and Space Research 2, no. 1 (2014): 108–16. http://dx.doi.org/10.2478/gsr-2014-0009.

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ABSTRACT In-flight resistive exercise workouts are performed on novel flywheel-based hardware. Designs of such workouts may be better served by measuring changes to lactate and testosterone values. To make workouts pertinent to μg they should utilize unique features of flywheel-based hardware, such as the option to exert eccentric torque. Our study compares changes to blood lactate and testosterone concentrations ([BLa-], [T]) from leg press workouts that differ by contractile mode and work volume, on a flywheel ergometer. Subjects performed three workouts; two entailed two sets of concentric-
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Döbel, Katja, Paula Gerlach, Lina Ingwersen, and Christoph Reinhardt. "The Difference of Conspicuous Consumption between Gym and Home Workouts." Kiel Journal of Consumer Studies 1, no. 1 (February 2023): 5–13. http://dx.doi.org/10.38071/2022-00825-9.

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This study examines current developments of conspicuous consumption in the fitness community on social media. During the Covid-19-pandemic digital communities had to change as in-person events were canceled. This paper investigates the differences in conspicuous consumption for fitness content creators, depending on their workout location (gym vs. home workout). Through a netnography based on Instagram, posts and videos were qualitatively analyzed. While conspicuous consumption was present in both workout styles, it differed in its manifestation. Posts about gym workouts focused more unilatera
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Habib, Nashmia, Faiza Kamal, and Mubbasher Munir. "Comparison of the Effectiveness of Home-Based Workouts and Gym Training according to Caloric Intake." International Health Review 1, no. 2 (2021): 13–29. http://dx.doi.org/10.32350/ihr.0102.02.

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With the advancement in technology and the growing sedentary lifestyle, comorbidities related to obesity and overweight are also increasing. Every other person complains of weight gain and is looking for ways to reduce pounds on the scale. Most people have started working out at their homes instead of going out to the gym due to the Coronavirus Pandemic, while others have a proper routine of working out in the gym. Thus, our research study compares the effectiveness of home-based workout programs and gym workouts to analyze which type of workout will provide the most effective results in the s
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Nand, Rugwed. "Personalized Gym Trainer Using Mediapipe." International Journal for Research in Applied Science and Engineering Technology 11, no. 12 (2023): 1250–54. http://dx.doi.org/10.22214/ijraset.2023.57569.

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Abstract: With the growing demand in personalised fitness experiences, this paper takes a fresh look at home workouts by creating a Personalised Gym Trainer with the Mediapipe library. This sophisticated device combines pose detection technology with voice assistance to provide users with real-time feedback and personalised instruction while exercising. The system identifies various exercises accurately and leverages torso point detection for greater precision by leveraging the capabilities of the Mediapipe library and OpenCV for camera tasks. Individual Python modules for certain workouts suc
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Omar, Ashurbaev, and Ravshanov Dostonjon. "How Smart Devices Are Revolutionizing Home Workouts." Multidisciplinary Journal of Science and Technology 4, no. 12 (2024): 662–66. https://doi.org/10.5281/zenodo.14543842.

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Smart devices have brought a new revolution in smartening up home workouts, making fitness more accessible, more personalized, more engaging. In this article, I explore how smart devices including fitness trackers, smartwatches and virtual fitness platforms are transforming home based activity. By employing advanced sensors, real time data feedback and interactive features, these devices create personalized fitness plans, track performance, and further increase motivation in achieving ones fitness goals. Aside from that, gamification, virtual coaching, and social connectivity elements have hel
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KUMAR, R. REVANTH, and G. MANOJ KUMAR. "Personalized AI Workout Companion." International Scientific Journal of Engineering and Management 04, no. 07 (2025): 1–9. https://doi.org/10.55041/isjem04853.

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Personalized ai workout companion is an intelligent offline fitness application designed to assist users in performing exercises correctly by providing real-time feedback and tracking their progress. Leveraging advanced computer vision techniques and pose estimation powered by MediaPipe, this system accurately detects and counts repetitions for various workouts such as squats, pushups, curis, jumping jacks, and crunches. Users can engage in personalized fitness sessions where the trainer monitors form and counts reps automatically, helping them stay motivated and avoid injuries caused by incor
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Chen, Qiuying, and SangJoon Lee. "A Machine Learning Approach to Predict Customer Usage of a Home Workout Platform." Applied Sciences 11, no. 21 (2021): 9927. http://dx.doi.org/10.3390/app11219927.

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Health authorities have recommended the use of digital tools for home workouts to stay active and healthy during the COVID-19 pandemic. In this paper, a machine learning approach is proposed to assess the activity of users on a home workout platform. Keep is a home workout application dedicated to providing one-stop exercise solutions such as fitness teaching, cycling, running, yoga, and fitness diet guidance. We used a data crawler to collect the total training set data of 7734 Keep users and compared four supervised learning algorithms: support vector machine, k-nearest neighbor, random fore
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Catharine, Femy Maria, Ana Fitriana Poerana, and Maulana Rifai. "Personal Branding Influencer Nadia Ninette melalui Konten Olah Raga dan Pola Hidup Sehat di Media Sosial Instagram." Da'watuna: Journal of Communication and Islamic Broadcasting 4, no. 2 (2023): 596–610. http://dx.doi.org/10.47467/dawatuna.v4i2.4640.

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The public gets to know a figure through their work and whatever they present. Through personal branding, an influencer can become more recognized by the public, not only by their followers but also by other parties, especially those involved in fields related to the influencer. According to Peter Montoya, there are 8 main concepts in the formation of personal branding: specialization, leadership, personality, distinctiveness, visibility, unity, persistence and goodwill. In this research, the focus is only on 6 concepts, excluding distinctiveness and unity. This study aims to understand how Na
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Joo, Hyungchul. "The Effects of YouTube Home Training Content Characteristics, Personal Health Awareness, and Exercise Awareness on Intention to Exercise Continuous Intention Using the Expectation-Confirmation Model." Korean Journal of Sport Science 33, no. 3 (2022): 429–39. http://dx.doi.org/10.24985/kjss.2022.33.3.429.

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PURPOSE Since the COVID-19 pandemic, the demand for home training, with exercises or workouts at home, has steadily increased. As a result, the popularity of home training YouTube content, which shows how to use exercise equipment or workouts without professional influence, has also increased. Therefore, this study focused on the characteristics of YouTube home training content (specialization, diversity, and interaction), personal health awareness, exercise awareness, and expectation-confirmation model to identify which required exercise continuation intention through YouTube home training. M
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Ryu, Hee-Soo, and Wi-Young So. "The Effects of 24 Weeks of Non-Face-to-Face Home Exercise on Body Composition, Physical Fitness, Cardiovascular Function, and Blood Profiles in Pre-Metabolic Syndrome Korean Adults: A Pilot Study." Healthcare 10, no. 10 (2022): 1963. http://dx.doi.org/10.3390/healthcare10101963.

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Background: This study assessed Korean residents’ health improvements by reducing chronic disease morbidity through customized health management. After identifying each participant’s strength and health through physical examinations and blood pressure tests, the effects of 24 weeks of online, non-face-to-face home workouts on body composition, physical fitness, cardiovascular function, and blood profiles in Korean adults with pre-metabolic syndrome were determined. Methods: Adults living in Chungcheongbuk-do, aged 19–65, and at the pre-metabolic syndrome stage were recruited at the Jeungpyeong
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Dissertations / Theses on the topic "Home workouts"

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Ševčík, Marek. "Návrh marketingové strategie." Master's thesis, Vysoké učení technické v Brně. Fakulta podnikatelská, 2021. http://www.nusl.cz/ntk/nusl-442904.

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This diploma thesis deals with the design of a new marketing strategy for the Brno gym Velký Průvan. Based on theoretical knowledge, an analysis of the current state and the state of competition is prepared, which is the basis of the design part, which focuses on the modification of the current product due to the global pandemic, new PPC advertising and marketing on social networks. These changes should increase the competitiveness and, ultimately, the gym's sales.
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Hernandez, Cherstin, and Maya Kronman. "Feedback på din hemmaträning : En analys av designförslag för ett korrigerande verktyg via projektion." Thesis, Högskolan Kristianstad, Fakulteten för ekonomi, 2021. http://urn.kb.se/resolve?urn=urn:nbn:se:hkr:diva-22002.

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I denna uppsats jämförs designförslag för visuell korrigerande feedback via projektor i hemmatränings miljö för att se vilken design och vilka design kombinationer som skulle vara användbart och tydligast att förstå för en användare. I och med covid 19 har det lett till att det är mer aktuellt att träna hemifrån istället för på gym för att minska smittrisken. Men i och med att det ofta inte finns samma stödjande verktyg hemma som på gym (ex. speglar och instruktörer) så kan det leda till att övningar utförs fel och kan leda till skador. Tidigt inne i utforskandet av digitala verktyg för hemmat
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Books on the topic "Home workouts"

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Horton, Tony. P9O-X extreme home fitness: The workouts. Beachbody, 2008.

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Association, Reader's Digest, ed. Get fit for free home workouts: Yoga and pilates : 80 step-by-step exercises/140 personalized workouts. Reader's Digest Association, 2011.

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Newson, Angie. Get fit for free!: Home workouts : yoga and pilates : 80 step-by-step exercises,140 personalized workouts. Reader's Digest Association, 2010.

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L, Ranken Anthony, ed. Workouts with weights: Simple routines you can do at home. Sterling Pub., Co., 1993.

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United States. Congress. Senate. Committee on Banking, Housing, and Urban Affairs. Expanding refinancing opportunities to improve the housing market: Hearing before the Committee on Banking, Housing, and Urban Affairs, United States Senate, One Hundred Twelfth Congress, second session ... May 8, 2012. U.S. Government Printing Office, 2013.

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Otey, Claud. No-Equipment Workouts : Easy to Follow Home Workout Routines: Home Chest Workout. Independently Published, 2021.

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Gurrad, Young. Home Workout Plan : at-Home Strength Workouts for All Levels: Home Workout for Biceps. Independently Published, 2021.

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Mcaree, Elicia. Home Workout Full Body : at-Home Workouts to Lose Weight and Build Muscle: Home Workout App. Independently Published, 2021.

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Publication, Iselle. Workouts Log Book: Bodyweight Premium Home Workout Log Book. Independently Published, 2022.

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Best Lazy Home Workout: Death of the Gym No Equipment Home Workouts. Independently Published, 2020.

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Book chapters on the topic "Home workouts"

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Kim, Hayoung, Kyeong Teak Oh, Jaesuk Kim, et al. "Real-time Pilates Posture Recognition System Using Deep Learning Model." In Digital Health Transformation, Smart Ageing, and Managing Disability. Springer Nature Switzerland, 2023. http://dx.doi.org/10.1007/978-3-031-43950-6_1.

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AbstractAs the pandemic situation continues, many people exercise at home. Mat Pilates is a popular workout and effective core strengthening. Although many researchers have conducted pose recognition studies for exercise posture correction, the study on Pilates exercise is only one case on static images. Therefore, for the purpose of exercise monitoring, we propose a real-time Pilates posture recognition system on a smartphone for exercise monitoring. We aimed to recognize 8 Pilates exercises—Bridge, Head roll-up, Hundred, Roll-up, Teaser, Plank, Thigh stretch, and Swan. First, the Blazepose m
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Hughes, Rick, Andrew Kinder, and Cary L. Cooper. "When Children Leave Home." In The Wellbeing Workout. Springer International Publishing, 2018. http://dx.doi.org/10.1007/978-3-319-92552-3_34.

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Hughes, Rick, Andrew Kinder, and Cary L. Cooper. "Managing Conflict at Home and Work." In The Wellbeing Workout. Springer International Publishing, 2018. http://dx.doi.org/10.1007/978-3-319-92552-3_7.

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Zhang, Sunxiya, Emiran Kaisar, Ting Han, Ruoyu Liang, and Shi Qiu. "Designing At-Home Workout Products to Improve Sub-health of Young People." In Communications in Computer and Information Science. Springer Nature Switzerland, 2023. http://dx.doi.org/10.1007/978-3-031-35992-7_31.

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Swezey, Christian. "Barbarians at the Gate." In We Showed Baltimore. Cornell University Press, 2022. http://dx.doi.org/10.7591/cornell/9781501762826.003.0004.

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This chapter expounds on Richie Moran becoming the barbarian at lacrosse's gate. It clarifies that Moran was not much of a revolutionary, but he did raise his reputation for being anathema to the Baltimore establishment due to his sideline demeanor. Cornell was on a quest to win trophies after Moran took his post as the head coach. The chapter also looks into the player profiles within Moran's team. Moran cut costs where he could as the Cornell lacrosse team attempted to continue fall workouts and escape Ithaca's brutal weather to Raleigh. Meanwhile, the US government approved the patent for t
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Bose, S. Rubin, M. Abu Shahil Sirajudheen, G. Kirupanandan, S. Arunagiri, R. Regin, and S. Suman Rajest. "Fine-Grained Independent Approach for Workout Classification Using Integrated Metric Transfer Learning." In Advanced Applications of Generative AI and Natural Language Processing Models. IGI Global, 2023. http://dx.doi.org/10.4018/979-8-3693-0502-7.ch017.

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Physical activity helps manage weight and stay healthy. It becomes more critical during a pandemic since outside activities are restricted. Using tiny wearable sensors and cutting-edge machine intelligence to track physical activity can help fight obesity. This study introduces machine learning and wearable sensor methods to track physical activity. Daily physical activities are typically unstructured and unplanned, and sitting or standing may be more common than others (walking stairs upstairs down). No activity categorization system has examined how class imbalance affects machine learning c
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Conference papers on the topic "Home workouts"

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K, Anand, Kumar P, and Hemanth Kumar R. "AI FitCoach - Intelligent Virtual Coach for Safe and Effective Home Workouts." In 2025 International Conference on Data Science and Business Systems (ICDSBS). IEEE, 2025. https://doi.org/10.1109/icdsbs63635.2025.11032036.

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Pandi, M., T. Guhan, T. Sivakumar, and Aswathy R H. "IoT-Enabled Personalized Fitness Solutions for Home Workouts using Reinforcement Learning." In 2025 7th International Conference on Intelligent Sustainable Systems (ICISS). IEEE, 2025. https://doi.org/10.1109/iciss63372.2025.11076349.

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Daroya, Renz C., Mark Anthony B. Mercado, Donnabel C. Dela Cruz, Ariel Antwaun Rolando C. Sison, Criselle J. Centeno, and Erwin D. Marcelo. "Adaptation of Fitness Application Through AI Integration: An Android Based Application for Home Workout Fitness Experience." In 2024 International Conference on Innovative Computing, Intelligent Communication and Smart Electrical Systems (ICSES). IEEE, 2024. https://doi.org/10.1109/icses63760.2024.10910613.

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Wu, Yihong, Lingyun Yu, Jie Xu, et al. "AR-Enhanced Workouts: Exploring Visual Cues for At-Home Workout Videos in AR Environment." In UIST '23: The 36th Annual ACM Symposium on User Interface Software and Technology. ACM, 2023. http://dx.doi.org/10.1145/3586183.3606796.

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Noh, Samyeul, Sang-baek Lee, and Jiyoung Park. "Intelligent Interaction System Capable of Autonomous Mobility for At-Home Workouts." In 2019 International Conference on Information and Communication Technology Convergence (ICTC). IEEE, 2019. http://dx.doi.org/10.1109/ictc46691.2019.8939887.

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Noh, Samyeul, and Jiyoung Park. "Utilization of Mobile Robot at Interaction Systems for At-Home Workouts: Provision of Autonomous Mobility in Indoor Environments." In 2019 19th International Conference on Control, Automation and Systems (ICCAS). IEEE, 2019. http://dx.doi.org/10.23919/iccas47443.2019.8971505.

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Alhajyaseen, Wael, Qinaat Hussain, Mohamed Kharbeche, and Charitha Dias. "Covid 19 Pandemic: Impacts and Future Implications on Personal Travel Behavior in the State of Qatar." In Qatar University Annual Research Forum & Exhibition. Qatar University Press, 2020. http://dx.doi.org/10.29117/quarfe.2020.0283.

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In December 2019, a novel and contagious coronavirus also known as Covid-19 outbroke in Wuhan, China. In response to the virus, many countries implemented strict travel restrictions and lockdowns to hold back the spread of the Covid-19. The measures to contain it have brought dramatic changes in individual lifestyles, daily activities and travel behavior. This study focuses on the impacts on individual travel behavior including work/education, shopping and out-of-home physical activities in the state of Qatar. In addition, the study also presents individuals’ expectations and preferences regar
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Matthies, Denys J. C., Thorleif Harder, Franz Bretterbauer, Viktoria Ginter, and Horst Hellbrück. "FitFone: Tracking Home Workout in Pandemic Times." In PETRA '21: The 14th PErvasive Technologies Related to Assistive Environments Conference. ACM, 2021. http://dx.doi.org/10.1145/3453892.3461334.

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Chen, Ming, Suwang Xing, Yuqing Zhu, Xuxiang Ma, and Zhenrong Luo. "Pose-Guided Home Workout System via Graph-Based Multi-label Time Series Classification." In CAIBDA 2024: 2024 4th International Conference on Artificial Intelligence, Big Data and Algorithms. ACM, 2024. http://dx.doi.org/10.1145/3690407.3690513.

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Tragos, Elias, Diarmuid O'Reilly-Morgan, James Geraci, et al. "Keeping People Active and Healthy at Home Using a Reinforcement Learning-based Fitness Recommendation Framework." In Thirty-Second International Joint Conference on Artificial Intelligence {IJCAI-23}. International Joint Conferences on Artificial Intelligence Organization, 2023. http://dx.doi.org/10.24963/ijcai.2023/692.

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Recent years have seen a rise in smartphone applications promoting health and well being. We argue that there is a large and unexplored ground within the field of recommender systems (RS) for applications that promote good personal health. During the COVID-19 pandemic, with gyms being closed, the demand for at-home fitness apps increased as users wished to maintain their physical and mental health. However, maintaining long-term user engagement with fitness applications has proved a difficult task. Personalisation of the app recommendations that change over time can be a key factor for maintai
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