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1

Kayange, Hyston, Jonghyeok Mun, Yohan Park, Jongsun Choi, and Jaeyoung Choi. "A Hybrid Approach to Modeling Heart Rate Response for Personalized Fitness Recommendations Using Wearable Data." Electronics 13, no. 19 (2024): 3888. http://dx.doi.org/10.3390/electronics13193888.

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Heart rate (HR) is a key indicator of fitness and cardiovascular health, and accurate HR monitoring and prediction are essential for enhancing personalized fitness experiences. The rise of wearable technology has significantly improved the ability to track personal health, including HR metrics. Accurate modeling of HR response during workouts is crucial for providing effective fitness recommendations, which help users achieve their goals while maintaining safe workout intensities. Although several HR monitoring and prediction models have been developed for personalized fitness recommendations,
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Hrabovska, Nikola, Erik Kajati, and Iveta Zolotova. "A Validation Study to Confirm the Accuracy of Wearable Devices Based on Health Data Analysis." Electronics 12, no. 11 (2023): 2536. http://dx.doi.org/10.3390/electronics12112536.

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This research article presents an analysis of health data collected from wearable devices, aiming to uncover the practical applications and implications of such analyses in personalized healthcare. The study explores insights derived from heart rate, sleep patterns, and specific workouts. The findings demonstrate potential applications in personalized health monitoring, fitness optimization, and sleep quality assessment. The analysis focused on the heart rate, sleep patterns, and specific workouts of the respondents. Results indicated that heart rate values during functional strength training
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Yoshida, Yutaka, and Emi Yuda. "Workout Detection by Wearable Device Data Using Machine Learning." Applied Sciences 13, no. 7 (2023): 4280. http://dx.doi.org/10.3390/app13074280.

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There are many reports that workouts relieve daily stress and are effective in improving mental and physical health. In recent years, there has been a demand for quick and easy methods to analyze and evaluate living organisms using biological information measured from wearable sensors. In this study, we attempted workout detection for one healthy female (40 years old) based on multiple types of biological information, such as the number of steps taken, activity level, and pulse, obtained from a wristband-type wearable sensor using machine learning. Data were recorded intermittently for approxi
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Tavares, Bruno F., Ivan Miguel Pires, Gonçalo Marques, et al. "Mobile Applications for Training Plan Using Android Devices: A Systematic Review and a Taxonomy Proposal." Information 11, no. 7 (2020): 343. http://dx.doi.org/10.3390/info11070343.

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Fitness and physical exercise are preferred in the pursuit of healthier and active lifestyles. The number of mobile applications aiming to replace or complement a personal trainer is increasing. However, this also raises questions about the reliability, integrity, and even safety of the information provided by such applications. In this study, we review mobile applications that serve as virtual personal trainers. We present a systematic review of 36 related mobile applications, updated between 2017 and 2020, classifying them according to their characteristics. The selection criteria considers
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Fitriana, Rossa, and Diaz Restu Darmawan. "Workout sebagai gaya hidup sehat wanita modern." Satwika : Kajian Ilmu Budaya dan Perubahan Sosial 5, no. 2 (2021): 199–213. http://dx.doi.org/10.22219/satwika.v5i2.17571.

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Penelitian ini membahas mengenai fenomena gaya hidup yang baru muncul pada wanita modern di perkotaan. Gaya hidup yang muncul ini adalah usaha untuk meningkatkan kualitas tubuh yang sehat dengan aktivitas workout. Faktor kehidupan masyarakat modern, khususnya wanita modern di perkotaan yang sudah sangat tergantung pada media sosial dan beragam aplikasi mobile, membuat perilaku kesehatan workout semakin melekat dalam kehidupan modernitas. Hal ini menunjukkan peran media sosial tidak sebatas sebagai komunikasi melainkan juga sebagai media kesehatan. Penelitian ini dilakukan dengan metode kualita
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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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Changmai, Nilamjyoti. "ExeRMender: Smart Workout Guidance Through Predictive Modeling And Web Technologies." International Scientific Journal of Engineering and Management 04, no. 05 (2025): 1–7. https://doi.org/10.55041/isjem03484.

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Abstract - In today’s digital-first society, physical fitness solutions are rapidly transitioning from traditional gyms to home-based digital platforms. The ExeRMender project introduces a personalized fitness recommendation system that delivers tailored workout suggestions based on user-specific criteria such as targeted muscle groups, equipment availability, and difficulty level. Leveraging Natural Language Processing (NLP) techniques like Term Frequency-Inverse Document Frequency (TF-IDF) and cosine similarity, the system maps user inputs to a structured dataset of exercises. Built with Fla
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Kim, Hyang-Sook, and Mun-Young Chung. "Testing a User Engagement Model of Motivational Technology for Exercise Behavior and Postpartum Weight Management." Health & New Media Research 9, no. 1 (2025): 1–20. https://doi.org/10.22720/hnmr.2025.00052.

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Postpartum weight retention is a well-known risk factor associated with various physical and psychological health problems among postpartum women, including depression and long-term obesity. Following the trend of the wide availability of mobile diet and fitness applications and an increasing number of app users, the popularity of this technology for managing personal health records has also increased among postpartum women. However, little evidence has confirmed whether app use can mitigate postpartum weight retention by encouraging app users to engage in exercise. Undergirded by the theoreti
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Salian, Priyansh, and Krish Naik. "Enhancing Health and Wellness: Deep Learning Powered Exercise Recognition and Tracking." International Journal for Research in Applied Science and Engineering Technology 11, no. 9 (2023): 1343–48. http://dx.doi.org/10.22214/ijraset.2023.55846.

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Abstract: This project aims to develop a React-based web application that enables users to track, analyze, manage, and schedule their workout routines. Additionally, the application incorporates a machine learning model that utilizes the user’s web camera to track their movements and count reps, sets, and calories burned. This innovative feature provides users with a more accurate representation of their workout progress and empowers them to make data-driven decisions regarding their fitness goals. To achieve this, we utilized various technologies such as React for the frontend, Node.js for th
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Overholt, Stacey, and Amanda Friz. "“Let’s Get a Little Bit Aboriginal, Shall We?”: Transforming Cultural Appropriation into Spiritual Wellness via the Neohealthism of KINRGY." Rhetoric of Health & Medicine 6, no. 4 (2024): 410–46. http://dx.doi.org/10.5744/rhm.2023.4003.

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Celebrity-driven wellness ventures are pervasive and often spearheaded by white women, resulting in white-centric health guidance. One such venture is KINRGY, a workout and lifestyle method created by professional dancer Julianne Hough that regularly appropriates and exploits Eastern, Aboriginal, and BIPOC cultural practices. Through a critical rhetorical interrogation of the workout videos and Instagram feed of KINRGY, we assess how this method relies on cultural appropriation and New Age Orientalism to situate spirituality as the crux of universal health, thus establishing a reconfiguration
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Farwa, Batool Zaidi, and Abbas Zaidi Syed. "The Impact of Macronutrient Tracking Combined with Daily Workouts on Fat Reduction and Muscle Gain." International Journal of Life Sciences Research 13, no. 2 (2025): 66–70. https://doi.org/10.5281/zenodo.15569293.

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<strong>Abstract:</strong> This research explores the significance of accurately measuring protein and carbohydrate intake alongside consistent physical activity and quality sleep for effective fat reduction and muscle development. Numerous scientific studies underline the correlation between macronutrient distribution and body composition improvements. By tracking nutrient intake relative to workout intensity, individuals can strategically maximize lean muscle gain while minimizing fat accumulation. This paper presents the physiological rationale, data-supported evidence, and practical applic
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Roslan, Hanis Syakirah, Nur Hasni Nasrudin, and Rosida Ahmad Junid. "Multi-media based Workout Assistance For Obese Adolescents." Mathematical Sciences and Informatics Journal 4, no. 1 (2023): 86–96. http://dx.doi.org/10.24191/mij.v4i2.24389.

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With the increasing prevalence of obesity among teenagers, it becomes crucial to promote their health and fitness. This paper presents an innovative approach that utilizes multi-media and augmented reality (AR) technology to enhance physical activity and combat the issue of adolescent obesity. The proposed method involves creating an interactive fitness environment through a smartphone application that seamlessly integrates AR elements. This software offers guidance to overweight adolescents during their workouts to ensure they maintain proper form. To keep users motivated and engaged, interac
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M. Jhansi Lakshmi, Avire Pravalika, Koshika Sonika, Podugu Srinadh, and A. Sai Durga. "SMARTFIT: AI-POWERED PERSONALIZED FITNESS RECOMMENDER SYSTEM." International Journal of Engineering Research and Science & Technology 20, no. 2 (2024): 1336–41. https://doi.org/10.62643/ijerst.2024.v20.i2.pp1336-1341.

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The growing emphasis on health and fitness has increased the demand for personalized fitness guidance. Traditional fitness assistance methods, such as generic workout plans and standard dietary guidelines, often fail to meet individual needs. While personal trainers provide tailored support, they can be costly and inaccessible to many. Generic fitness applications offer predefined routines but lack adaptability and real-time feedback, limiting their effectiveness. These conventional approaches do not consider personal preferences, fitness history, or changing health conditions, leading to subo
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Sui, Wuyou, Jonathan Rush, and Ryan E. Rhodes. "Engagement With Web-Based Fitness Videos on YouTube and Instagram During the COVID-19 Pandemic: Longitudinal Study." JMIR Formative Research 6, no. 3 (2022): e25055. http://dx.doi.org/10.2196/25055.

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Background The COVID-19 pandemic has drastically changed the physical activity (PA) landscape through the closures of gymnasiums, schools, and many outdoor spaces. Physical distancing guidelines have also reduced opportunity for PA. The popularity of free web-based home fitness videos on video hosting platforms (eg, YouTube and Instagram) has spiked during the pandemic. Many web-based fitness videos offer a convenient, accessible, and cost-effective means of engaging in PA through regularly posted videos or discrete programs. Notably, traditional PA programs often suffer from poor adherence an
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Ellis, Louise A., Kathryn McCabe, Tracey Davenport, et al. "Development and evaluation of an Internet-based program to improve the mental health and wellbeing of young men." Interactive Technology and Smart Education 12, no. 1 (2015): 2–13. http://dx.doi.org/10.1108/itse-05-2014-0009.

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Purpose – This paper aims to describe the development of WorkOut, an Internet-based program designed to help young men overcome the barriers towards help-seeking and to build the skills they need to understand and manage their own mental health. Information and communication technologies (ICT) hold great potential to significantly improve mental health outcomes for hard-to-reach and traditionally underserved groups. Internet-based programs and mobile phone applications may be particularly appealing to young men due to their convenience, accessibility and privacy and they also address the stron
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Yunus, Moch, Ronal Surya Aditya, Nanang Tri Wahyudi, Nurul Ihsan, Lintang Nirmalasari Gemalochaya M, and Farsya Hidayah Septiananda. "A Systematic Literature Review of Advantages and Difficulties of Improving Athlete Performance with Mobile Smartwatch Health Apps." Formosa Journal of Multidisciplinary Research 4, no. 4 (2025): 1683–94. https://doi.org/10.55927/fjmr.v4i4.152.

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The potential of mobile smartwatch health applications to improve sports performance, avoid injuries, and aid in general health management has drawn a lot of interest in recent years. Through the integration of cutting-edge technologies, these programs offer athletes immediate feedback, real-time physiological and psychoemotional indicator monitoring, and customized exercise regimens. According to the review, individualized workout regimens and real-time feedback from mobile Smartwatch health applications greatly enhance sports performance, injury prevention, and motivation. Persistent issues
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IVANOV, V. D. "FITNESS TECHNOLOGISTS IN PHYSICAL EDUCATION OF STUDENTS." Physical Culture Sport Tourism Motor Recreation 9, no. 4 (2024): 94–101. https://doi.org/10.47475/2500-0365-2024-9-4-94-101.

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In today’s world, where more and more people are striving for a healthy lifestyle and an active lifestyle, fitness technologies are becoming more and more popular. While traditional methods of physical education, such as running, swimming or yoga, are increasingly giving way to new and innovative methods, one of which is fitness technology. This article examines the importance of fitness technologies in physical education of students and their role in achieving successful learning, achieving a healthy lifestyle. One of the key advantages of fitness technologies is their ability to improve phys
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Karami, Amir, Zhilei Qiao, Xiaoni Zhang, Hadi Kharrazi, Parisa Bozorgi, and Ali Bozorgi. "Health Use Cases of AI Chatbots: Identification and Analysis of ChatGPT Prompts in Social Media Discourses." Big Data and Cognitive Computing 8, no. 10 (2024): 130. http://dx.doi.org/10.3390/bdcc8100130.

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The popularity of ChatGPT has raised questions surrounding AI’s potential for health use cases. Since the release of ChatGPT in 2022, social media users have shared their prompts and ChatGPT responses on different topics such as health. Despite editorials and opinion articles discussing the potential uses of ChatGPT, there is a lack of a systematic approach to identify and analyze the use cases of ChatGPT in health. This study establishes a framework for gathering and identifying tweets (i.e., posts on social media site “X”, formerly known as Twitter) that discuss health use cases of ChatGPT,
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Leitão, Luis, Marcelo Dias, Yuri Campos, et al. "Physical and Physiological Predictors of FRAN CrossFit® WOD Athlete’s Performance." International Journal of Environmental Research and Public Health 18, no. 8 (2021): 4070. http://dx.doi.org/10.3390/ijerph18084070.

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CrossFit® training is one of the fastest-growing fitness activities in the world due to its varied functional movement and competition experience. The performance is present in almost every workout of the day (WOD); however, there is a lack of knowledge in the science that did not allow us to fully understand the performance determinants of CrossFit WOD’s like we do for other individual or team sports. The purpose of this study was to analyze the physical and physiological variables of recreational trained CrossFit athletes during one of the most famous WOD, FRAN, and to identify which variabl
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Billis, Antonis S., Evdokimos I. Konstantinidis, Ioanna-Maria Spyrou, Panagiotis Antoniou, and Panagiotis D. Bamidis. "Exercise Intensity Forecasting." International Journal of E-Health and Medical Communications 6, no. 4 (2015): 1–19. http://dx.doi.org/10.4018/ijehmc.2015100101.

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Heart rate monitoring in physical exercise regimens is the key indicator of the workout intensity level. Day-to-day exercise variation of the heart rate reflects any progress achieved by the trainee and helps the trainer or the trainee himself to adjust the exercise work plan accordingly. However, timely decision upon changing intensity level of exercise is of crucial importance so as to maximize the health outcomes. Prediction of future heart rate values based on the trainee's history profile may prove to be a useful decision making tool in that case. The minimum set of available heart rate m
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Abbasnezhad, Mohammad, khadijeh irandoust, and Seyed Abbas Hashemi. "Identifying and Ranking of Features and Characteristics of Online Consultation Pages and Virtual Prescription Applications with a Focus on Nutrition and Exercise." AI and Tech in Behavioral and Social Sciences 2, no. 1 (2024): 1–8. http://dx.doi.org/10.61838/kman.aitech.2.1.1.

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The objective of this study was to systematically assess and rank the features and characteristics of online consultation pages and virtual prescription applications, with a particular focus on their offerings in nutrition and exercise. The study aimed to identify which attributes of these digital health solutions most significantly influence user engagement and satisfaction, thereby guiding the optimization of such platforms for improved health management. Utilizing a qualitative research design, this study combined semi-structured interviews with 40 participants and a thorough review of 102
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Caserman, Polona, Clemens Krug, and Stefan Göbel. "Recognizing Full-Body Exercise Execution Errors Using the Teslasuit." Sensors 21, no. 24 (2021): 8389. http://dx.doi.org/10.3390/s21248389.

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Regular physical exercise is essential for overall health; however, it is also crucial to mitigate the probability of injuries due to incorrect exercise executions. Existing health or fitness applications often neglect accurate full-body motion recognition and focus on a single body part. Furthermore, they often detect only specific errors or provide feedback first after the execution. This lack raises the necessity for the automated detection of full-body execution errors in real-time to assist users in correcting motor skills. To address this challenge, we propose a method for movement asses
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Patni, Nameet Kumar, Durgawati Devi, and Sonam Jain. "Surya Namaskar, Benefits in the Context of Physiological Perspective." International Research Journal of Ayurveda & Yoga 7, no. 1 (2024): 69–72. http://dx.doi.org/10.48165/irjay.2024.70112.

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Introduction: With the recent rise in awareness in increased understanding of the importance of physical activity in promoting overall health, greater emphasis has been placed on improving physical fitness to enhance quality of life. Asian Indians have been practicing Surya Namaskar, a part of Hatha Yoga, for hundreds of years. It is frequently employed in place of a typical workout regimen. It entails a series of asanas that are performed 12 times per cycle. Although Surya Namaskar was neither considered an asana nor a part of classical Yoga, it is now regarded as a component of current yogic
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Kadakia, Shevali, Catherine Stratton, Yinfei Wu, Josemari Feliciano, and Yetsa A. Tuakli-Wosornu. "The Accessibility of YouTube Fitness Videos for Individuals Who Are Disabled Before and During the COVID-19 Pandemic: Preliminary Application of a Text Analytics Approach." JMIR Formative Research 6, no. 2 (2022): e34176. http://dx.doi.org/10.2196/34176.

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Background People with disabilities face barriers to in-person physical activity (PA), including a lack of adaptive equipment and knowledgeable instructors. Given this and the increased need for digital resources due to widespread COVID-19 lockdowns, it is necessary to assess the accessibility of digital fitness resources for people with disabilities. To investigate whether YouTube fitness content creators have made videos accessible to people with disabilities would be informative about access to PA during COVID-19 and could also provide insight into the feasibility of individuals who are dis
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Pratama, Tomy Angga, Waris, and Rina Sugiarti Dwi Gita. "Effectiveness of Android-Based Learning Media “7 Minutes Workout” on the Motivation and Activity of Junior High School Students." Jurnal Penelitian Pendidikan IPA 11, no. 4 (2025): 707–13. https://doi.org/10.29303/jppipa.v11i4.10614.

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This study examines how the "7 Minutes Workout" application affects students' motivation and activity levels at SMP Negeri 1 Semboro, Jember Regency. This study used a quasi-experimental design with a control group and an intervention group. The intervention group used the application for structured exercise, while the control group followed the traditional learning method. Student activity data were collected using ATA (Total Active Activity) and SDE (Effective Duration Session) metrics and analyzed using the Friedman test to identify significant differences across time. The results showed th
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Balestra, Costantino, Kate Lambrechts, Simona Mrakic-Sposta, et al. "Hypoxic and Hyperoxic Breathing as a Complement to Low-Intensity Physical Exercise Programs: A Proof-of-Principle Study." International Journal of Molecular Sciences 22, no. 17 (2021): 9600. http://dx.doi.org/10.3390/ijms22179600.

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Inflammation is an adaptive response to both external and internal stimuli including infection, trauma, surgery, ischemia-reperfusion, or malignancy. A number of studies indicate that physical activity is an effective means of reducing acute systemic and low-level inflammation occurring in different pathological conditions and in the recovery phase after disease. As a proof-of-principle, we hypothesized that low-intensity workout performed under modified oxygen supply would elicit a “metabolic exercise” inducing a hormetic response, increasing the metabolic load and oxidative stress with the s
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Man Ko, Kwang, and Soon Gohn Kim. "Analysis technique of a wearable IoT health information on the MAPHIS." International Journal of Engineering & Technology 7, no. 3.3 (2018): 224. http://dx.doi.org/10.14419/ijet.v7i2.33.13891.

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Background/Objectives: As u-health becomes common that monitors body condition real time in the ubiquitous environment, people are increasingly interested in promoting their health using biometric information identified by various health equipment.Methods/Statistical analysis: the concept of digital health has emerged that encompasses the followings: u-health that is expected to improve efficiency in medical service and monitor patients’ condition with wireless communication through convergence of ICT and health care industry; smart health(s-health) that manages their own workout, calorie inta
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Rios, Manoel, David B. Pyne, and Ricardo J. Fernandes. "The Effects of CrossFit® Practice on Physical Fitness and Overall Quality of Life." International Journal of Environmental Research and Public Health 22, no. 1 (2024): 19. https://doi.org/10.3390/ijerph22010019.

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We have examined the impact of CrossFit® workout sessions on physical fitness, comparing the obtained outcomes with the recommendations of the American College of Sports Medicine. In addition, we provide suggestions to improve training monitoring, as well as practical applications for researchers, coaches and practitioners. CrossFit® imposes high cardiorespiratory and metabolic demands, promoting improvements in circulatory capacity, oxidative metabolism and muscular endurance. Sustained elevations in heart rate contribute to cardiovascular conditioning, while a post-exercise hypotensive effec
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Gangarde, Rupali, Amit Sharma, Purav Patel, et al. "KILO - Fitness application with posture estimation." Journal of Information and Optimization Sciences 44, no. 5 (2023): 807–13. http://dx.doi.org/10.47974/jios-1044.

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The lockdown measures taken by countries across the globe in light of the COVID-19 pandemic has made people realize the importance of a healthy lifestyle. As more people try to change their habits to adopt fitness routines, they tend to perform exercises without knowing which ones are for beginners and how long they should be working out for. In proposed work, we focus on implementing a fully functional workout app built using flutter, a cross-platform development framework to develop applications for iOS and android, supported by a backend service provided by firebase. This paper surveys diff
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Konaszczuk, Adrian, Oliwia Bochenek, Mateusz Koper, et al. "The impact of using electronic applications on controlling the course of diabetes." Quality in Sport 20 (August 19, 2024): 53842. http://dx.doi.org/10.12775/qs.2024.20.53842.

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Physical activity is a fundamental element in managing diabetes. In preventing complications of this condition, along with pharmacological treatment, key factors include an appropriate diet, sports, weight reduction, and the ability to cope with stress. In recent years, the use of mobile applications in the treatment of diabetes has gained significant importance. Research has shown that these applications play a crucial role in improving patients' daily lives by offering features that make it easier to control this disease, such as advice on healthy eating, monitoring physical activity (includ
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Zakharina, Ievheniia. "The use of mobile applications in wellness fitness by women in the first stage of adulthood." This bulletin of the Kamianets-Podilskyi National Ivan Ohiienko University. Physical education, Sport and Human Health 29, no. 4 (2024): 209–15. https://doi.org/10.32626/2309-8082.2024-29(4).209-215.

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The development of digital technologies in the fitness industry contributes to the formation of new approaches to organizing physical activity, health monitoring, and enhancing motivation for wellness fitness. Their implementation improves organizational processes and promotes the growth of the industry. Objective of the Study. To analyze the use of mobile applications in wellness fitness for monitoring physical activity and their functional capabilities among women in the first stage of adulthood. Methods – We conducted a comprehensive analysis of scientific literature in the fields of inform
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Choubisa, Jitendra. "Structural Behavior of Steel Structures on the Basis of Computer Simulation Software." International Journal for Research in Applied Science and Engineering Technology 11, no. 2 (2023): 1284–92. http://dx.doi.org/10.22214/ijraset.2023.49234.

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Abstract: Creating a world class infrastructure that stands aesthetic and performs well structurally is not that easy. As an engineer one must have to keep in mind the applications and structural needs of a building. Talking of structures, RCC structures are quite common to work out with and on the other hand steel structures gives good weight per unit length. Steel structures are also easy to construct and helps in reducing project time. In this paper we have discussed about how structurally a model behaves in regards to its comparison among two computer simulating software viz., etabs and st
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Pittaccio, Simone, Stefano Viscuso, Elena Beretta, Anna Carla Turconi, and Sandra Strazzer. "Pilot Studies Suggesting New Applications of NiTi in Dynamic Orthoses for the Ankle Joint." Prosthetics and Orthotics International 34, no. 3 (2010): 305–18. http://dx.doi.org/10.3109/03093641003702253.

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NiTi is a metal alloy with unconventional functional characteristics: Shape memory and pseudoelasticity. Its use in the field of rehabilitation is very innovative. This work presents applications in lower limb orthotics. Three different devices were assembled and tested: An equinus gait dynamic splint, a compliant ankle positioning brace, and a dual-mode haptic/active exerciser for the dorsiflexors. Results are derived from technical and preclinical trials. The gait splint improves several walking parameters even better than a traditional flexible ankle-foot orthoses (AFO). In particular, it s
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Niu, Simiao. "(Invited) Battery-Free Wearable and Implantable Electronics for Chronic Disease Management." ECS Meeting Abstracts MA2024-01, no. 33 (2024): 1603. http://dx.doi.org/10.1149/ma2024-01331603mtgabs.

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60% of Americans live with at least one chronic disease. These diseases and their associated comorbidities are now the leading causes of death in the United States. The effective management of complex chronic diseases requires body-wide, long-term, accurate, and continuous monitoring of multiple physiological signals from wearable and implantable devices to precisely determine the pathological state. Wearable physiological signal monitoring can dramatically reduce the demand for physician visits and increase patients' engagement and treatment adherence rates. Specifically, battery-free wearabl
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Purdy, Graeme M., Chris P. Venner, Puneeta Tandon, and Margaret L. McNeely. "Feasibility of a tailored and virtually supported home exercise program for people with multiple myeloma using a novel eHealth application." DIGITAL HEALTH 8 (January 2022): 205520762211290. http://dx.doi.org/10.1177/20552076221129066.

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Introduction eHealth exercise interventions have the unique ability to leverage the benefits of in-person programming (tailoring and supervision) with the benefits of home programming (flexibility). There may be a role for eHealth-delivered exercise for people with multiple myeloma (MM), as exercise tailoring and supervision are critical for successful outcomes due to the significant impacts/risks of myeloma-related side effects. The purpose of this study was to determine the safety, feasibility, and preliminary efficacy of a 12-week virtually supported eHealth exercise program. Methods Partic
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Polechoński, Jacek, Alan Przepiórzyński, Piotr Polechoński, and Rajmund Tomik. "Effect of Elastic Resistance on Exercise Intensity and User Satisfaction While Playing the Active Video Game BoxVR in Immersive Virtual Reality: Empirical Study." JMIR Serious Games 12 (July 16, 2024): e58411-e58411. http://dx.doi.org/10.2196/58411.

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Abstract Background One of the main contemporary forms of physical activity (PA) involves exercises and games in an immersive virtual reality (VR) environment, which allows the user to practice various forms of PA in a small space. Unfortunately, most of the currently available VR games and workout applications are mostly based on upper body movements, especially the arms, which do not guarantee sufficiently high exercise intensity and health benefits. Therefore, it is worth seeking solutions to help increase the exercise load during PA in VR. Objective The main aim of this study was to evalua
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Tidake, Prof Ankita, Anurag Amale, Akash Madhavan, Atharva Jadhav, and Soham Waghmare. "Review on WorkFit Balance: A Daily Fitness Scheduler." International Journal for Research in Applied Science and Engineering Technology 13, no. 4 (2025): 487–90. https://doi.org/10.22214/ijraset.2025.68303.

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Abstract: The increasing demand for personalized fitness solutions has led to the development of technology-driven applications that cater to individual health goals. This paper presents WorkFit Balance, an AI-driven fitness planning application designed to generate personalized daily plans for exercise and nutrition based on user profiles and schedules. Leveraging machine learning techniques, specifically the K-Nearest Neighbors (KNN) algorithm, the application recommends exercises and meals tailored to the user’s fitness goals, fitness type, and body mass index (BMI). The system integrates w
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Jadhav, Santosh, and Wasif Chougule. "Fitness Workout Planner Web App." INTERANTIONAL JOURNAL OF SCIENTIFIC RESEARCH IN ENGINEERING AND MANAGEMENT 09, no. 04 (2025): 1–9. https://doi.org/10.55041/ijsrem43983.

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With the rise of personalized fitness solutions, there is a growing need for a comprehensive and user-friendly workout planning system. Traditional fitness tracking methods lack real-time monitoring, structured workout categorization, and integrated dietary guidance. In this paper, we present the Fitness Workout Planner Web App, a web-based platform that enables users to create and track personalized workout and diet plans. The system offers gender-based workout categorization, including Yoga, Meditation, Cardio, and specialized training from beginner to advanced levels. Users can log workouts
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Mirzabdullayevich, Boltabayev Mirvokhid. "ADAPTATION OF TECHNOLOGIES FOR THE FORMATION OF MOTOR ACTIVITY IN THE CONDITIONS OF DISTANCE LEARNING." European International Journal of Pedagogics 4, no. 3 (2024): 14–18. http://dx.doi.org/10.55640/eijp-04-03-03.

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The article considers the issue of technology adaptation for the purpose of effective formation of motor activity in students in the conditions of distance learning. In the context of modern educational challenges related to the pandemic and the spread of distance learning, the authors explore methods and tools aimed at supporting the physical development of students in a remote environment. Examples of successful practices are considered, including the use of virtual workouts, interactive applications for physical activity and innovative approaches to creating electronic physical education le
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Onu, Ilie, Daniel-Andrei Iordan, Daniela Matei, et al. "Impact of Physiotherapy on Patients Suffering from COVID-19: An Observational Study." Applied Sciences 12, no. 12 (2022): 5795. http://dx.doi.org/10.3390/app12125795.

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Introduction: COVID-19 was the turning point of 2020, endangering the health of the entire population around the world. Among other therapeutic methods and supportive measures, physiotherapy represents a useful intervention applied on COVID-19 patients suffering from respiratory symptoms, this being supported by recent literature data. Materials and Methods: The study was performed on 45 patients diagnosed with COVID-19 (28 men, 17 women, mean age = 65.03, standard deviation = 14.83). They participated for 2 weeks (the required period of hospitalization) to a series of 14 physiotherapy session
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Maynard, Sally. "The knowledge workout for health." Journal of Librarianship and Information Science 34, no. 1 (2002): 17–32. http://dx.doi.org/10.1177/096100060203400103.

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Wu, Yu-Chi, Shi-Xin Lin, Jing-Yuan Lin, Chin-Chuan Han, Chao-Shu Chang, and Jun-Xian Jiang. "Development of AI Algorithm for Weight Training Using Inertial Measurement Units." Applied Sciences 12, no. 3 (2022): 1422. http://dx.doi.org/10.3390/app12031422.

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Thanks to the rapid development of Wearable Fitness Trackers (WFTs) and Smartphone Pedometer Apps (SPAs), people are keeping an eye on their health through fitness and heart rate tracking; therefore, home weight training exercises have received a lot of attention lately. A multi-procedure intelligent algorithm for weight training using two inertial measurement units (IMUs) is proposed in this paper. The first procedure is for motion tracking that estimates the arm orientation and calculates the positions of the wrist and elbow. The second procedure is for posture recognition based on deep lear
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Bella, Yanesko Fernandes, Samantha Rodrigues Silva Cupido, Pedro Augusto Querido Inacio, Marcelo Luiz Peixoto Sobral, and Rodolfo P. Vieira. "Pre-Workout Supplements and Their Effects on Cardiovascular Health: An Integrative Review." Journal of Cardiovascular Development and Disease 12, no. 4 (2025): 112. https://doi.org/10.3390/jcdd12040112.

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Introduction: Dietary supplements have become a popular aid for improving training performance. Pre-workout supplements contain a mixture of ingredients used to boost physical performance, with some components having been associated with the promotion of cardiovascular health. However, there is insufficient scientific literature on the effects of pre-workout supplements, and the studies often have conflicting results. Objective: The aim of this review was to analyze the impact of multi-ingredient pre-workout supplements on cardiovascular health, in order to identify the main adverse effects an
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Falkowski, Piotr, Tomasz Osiak, Julia Wilk, et al. "Study on the Applicability of Digital Twins for Home Remote Motor Rehabilitation." Sensors 23, no. 2 (2023): 911. http://dx.doi.org/10.3390/s23020911.

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The COVID-19 pandemic created the need for telerehabilitation development, while Industry 4.0 brought the key technology. As motor therapy often requires the physical support of a patient’s motion, combining robot-aided workouts with remote control is a promising solution. This may be realised with the use of the device’s digital twin, so as to give it an immersive operation. This paper presents an extensive overview of this technology’s applications within the fields of industry and health. It is followed by the in-depth analysis of needs in rehabilitation based on questionnaire research and
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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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Pasanisi, Giovanni, Biagio Sassone, Jonathan Myers, et al. "Modello di riabilitazione cardiologica teleguidata durante pandemia da COVID-19." Cardiologia Ambulatoriale 28, no. 4 (2020): 271–75. http://dx.doi.org/10.17473/1971-6818-2020-4-6.

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Background. The COVID-19 pandemic has induced many governments to promote national lockdowns. Despite a period of quarantine is the best option and recommendation to stop the rapid spread of infections, this may have collateral effects on other dimensions of the isolated patients’ physical and mental health. Physical activity is the major component of cardiac rehabilitation programs that have been abruptly discontinued. Aims. To counteract physical inactivity during the COVID-19 outbreak we propose an home cardiac rehabilitation program under telemonitoring guidance, the home-bAsed physiCal ac
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Chebrolu, Raja Hirams, Jayashree Janagam, K. C. Muraleedharan, and Resmy R. "Impact of social media and over the top media during COVID-19 lockdown, a cross-sectional study." International Journal Of Community Medicine And Public Health 8, no. 3 (2021): 1156. http://dx.doi.org/10.18203/2394-6040.ijcmph20210796.

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Background: Covid-19 outbreak has forced the governments of several countries to enforce lockdown to control the spread of the virus. Staying at their homes, people are subjected to use Social media (SM)/Over the top media (OTTM) for communication, information, and entertainment. The objective is to know the usage of SM/OTTM and the frequently used applications during the lockdown. Also, its association with health, information usage and education.Methods: An online survey was conducted for a month with a specially framed questionnaire which includes the aspects of SM/OTTM usage, health issues
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Grens, Hilde, Jan Peter de Bruin, Aleida Huppelschoten, and Jan A. M. Kremer. "Fertility Workup With Video Consultation During the COVID-19 Pandemic: Pilot Quantitative and Qualitative Study." JMIR Formative Research 6, no. 2 (2022): e32000. http://dx.doi.org/10.2196/32000.

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Background Due to the COVID-19 pandemic, major parts of elective health care in the Netherlands, such as reproductive medicine, were paused. When health care was resumed, video consultation was used as a new solution to continue consultations with the new governmental rules of social distancing. Prior to this COVID-19 situation, video consultation was not used extensively in the Netherlands; therefore, physicians and patients are not familiar with this way of consultation. Objective The purpose of this study was to measure the level of patient centeredness and shared decision making in inferti
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Kansagara, Harsh. "Diet and Workout Recommendation System Using KNN." INTERNATIONAL JOURNAL OF SCIENTIFIC RESEARCH IN ENGINEERING AND MANAGEMENT 09, no. 04 (2025): 1–9. https://doi.org/10.55041/ijsrem45702.

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Abstract— The “Diet and Workout Recommendation System” is a personalized platform that provides real-time dietary and fitness guidance based on individual user profiles. Through an intuitive web interface, the system collects data, including age, weight, height, fitness goals, and dietary preferences. The backend processes this data with API integrations and machine learning techniques, including a K-Nearest Neighbors (KNN) model, to generate dynamic meal and workout plans that adapt to user feedback and progress. Using OpenCV for exercise tracking and Flask for efficient data handling, the sy
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Gaur, Ritik, Rohit Singh, and Mrs V. Vijayalakshmi. "Human Fitness Application." International Journal for Research in Applied Science and Engineering Technology 10, no. 12 (2022): 1554–57. http://dx.doi.org/10.22214/ijraset.2022.48263.

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Abstract: Everyone desires to be in good bodily and mental health. This requirement has been recognised by the developers developing fitness software. To accommodate the various needs of users, these applications offer customization and integrate diet and nutrition in addition to exercise and exercises. The apps have proven to be a huge comfort for those who don't have the time to regularly visit exercise facilities. It also provides free diet regimens and exercise recommendations. After discovering how crucial these apps are to their daily lives, many people have started utilizing them. This
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