Thematische Bibliographien / Health and workout applications

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Auswahl der wissenschaftlichen Literatur zum Thema „Health and workout applications“

Autor: Grafiati

Veröffentlicht am 30. Juni 2021

Zuletzt aktualisiert am 29. Juli 2025

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Zeitschriftenartikel zum Thema "Health and workout applications"

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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Dissertationen zum Thema "Health and workout applications"

Bartmar, Hannah, and Sara Borgersen. "Tonade armar och definierade magrutor : Hur könsnormer kan synliggöras i design av hälso- och träningsapplikationer." Thesis, Högskolan i Halmstad, Akademin för informationsteknologi, 2021. http://urn.kb.se/resolve?urn=urn:nbn:se:hh:diva-44518.

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Samhället vi lever i är uppbyggt av ett genussystem som baserar sig på könsnormer. Könsnormerna bygger på bland annat principen separation, som bygger på tanken att män och kvinnor utgör två separata grupper som anses ha olika könsspecifika egenskaper. Genussystemet skapar därmed en skillnad där det maskulina anses som en standard och det feminina som avvikande från denna standard. Hälsa och träning är ett bekönat område, där hälso- och träningsapplikationer ofta kodas utifrån normer om maskulinitet och femininitet. För att utmana och skapa medvetenhet om dessa könsnormer, kan kritisk design a

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Warren, Alistair. "Health Loop : Approachable, understandable, and engaging fitness for everyday people." Thesis, Umeå universitet, Designhögskolan vid Umeå universitet, 2014. http://urn.kb.se/resolve?urn=urn:nbn:se:umu:diva-111746.

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This thesis project reconsiders the purpose and effectiveness of public, free-to-use outdoor gyms, resulting in the Health Loop nine-station outdoor gym. The project identifies three key areas of failings in existing gyms: intimidation, lack of understanding, and lack of enjoyment.The design solution creates a gym which focuses firstly on providing a comfortable, appealing, approachable space and equipment. This is achieved through simplicity, a non-sporting atmosphere, and targeting the workout to relatively inactive people. The second key focus is on quick-to-understand, engaging, enjoyable

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D'Elia, Roberto. "Architetture per smart health: il caso FitStadium." Master's thesis, Alma Mater Studiorum - Università di Bologna, 2015. http://amslaurea.unibo.it/9616/.

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L'obiettivo della tesi è progettare un'architettura abilitante per scenari smart health, concentrandosi sulla parte end-user (non sulla parte server-cloud), ossia sperimentando l'ambito dei wearable devices e facendo riferimento al binomio fitness-Apple Watch, comodo perchè presente nell'azienda FitStadium che ci fornisce motivazioni, requisiti e goals. Nel primo capitolo si analizzeranno le soluzioni offerte attualmente dal mercato per la realizzazione di servizi legati al fitness, focalizzandosi in particolare sulle architetture proposte e come quest'ultime possano convivere con l'ecosistem

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Vergara, Jorge Benjamin. "Trust in Mobile Health Applications." Thesis, The University of Arizona, 2013. http://hdl.handle.net/10150/297792.

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As mobile devices become more prevalent in healthcare scenarios, it is becoming necessary to develop infrastructure to allow these devices to securely participate in emergency healthcare response scenarios. In this work, the scenario of an emergency response team requesting access to the health care records of a patient is analyzed. As these records may not be immediately available to the requesting party, several parties may need to be contacted to ensure to validate the identity of the requester and deliver the records. Existing works exploring this topic are briefly analyzed. Using recommen

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Öhrn, Anna. "The use of mobile health applications and health improvements." Thesis, Blekinge Tekniska Högskola, Institutionen för industriell ekonomi, 2018. http://urn.kb.se/resolve?urn=urn:nbn:se:bth-16791.

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Background: This thesis aims to investigate if the use of mobile health (mHealth) applications have positive effects on health. Objectives: This research are to provide an insight of how people are using mHealth applications but also provide an insight of the target group. Additionally, the thesis will provide an analysis of the proposed Structural Equation Model (SEM) to understand the influencing factors (constructs) for health improvement. Method: In this research a Structural Equation Model (SEM) approach was used in which a questionnaire with closed ended questions related to each co

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Martínez, Martínez José Miguel 1974. "Statistical Applications in Geographical Health Studies." Doctoral thesis, Universitat Politècnica de Catalunya, 2006. http://hdl.handle.net/10803/6524.

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Aquesta tesi està formada per dues parts relacionades amb l'estudi de la salut d'una regió geogràfica dividida en un conjunt de zones (àrees petites). La primera part es basa en un estudi amb informació de salut agregada per cadascuna de les àrees que formen la regió d'estudi. En concret, es tracta d'una aplicació de mapes de salut (disease mapping), que utilitza mètodes Bayesians empírics per generar un Atles de mortalitat en àrees petites de Catalunya en el període 1984-1998. La segona part utilitza una nova perspectiva basada en la integració de les dades agregades i individuals de salut pe

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Holmes, M. V. "Public health applications of cardiovascular genomics." Thesis, University College London (University of London), 2014. http://discovery.ucl.ac.uk/1417112/.

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Background Genetic epidemiology is at the interface of translational and basic research and the pace of progress has been unprecedented, with findings representing some of the most robust available in the Scientific literature. However, how we can translate this high- fidelity genomic information into improvements in health of the population? Two dis¬tinct translational opportunities include personalized medicine (pharmacogenetics) and using Mendelian randomization to investigate disease aetiology to inform public health policy and develop new therapies. Objectives In this PhD thesis, I invest

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Maximova, V. "Applications for people with health disabilities." Thesis, Sumy State University, 2017. http://essuir.sumdu.edu.ua/handle/123456789/62562.

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There are such diseases that people had to live with all their lives. Such simple actions as talking on the phone, going downstairs or even determining the expiration date of milk can become difficult for people with disabilities. We present a selection of mobile applications that make life of people with disabilities easier

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Li, Wenda. "Passive radar for health monitoring applications." Thesis, University of Bristol, 2017. https://ethos.bl.uk/OrderDetails.do?uin=uk.bl.ethos.738291.

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Anderson, Kevin. "Self-Care: Exploring Health Consumers’ Interaction with Mobile Health Applications." Thesis, Curtin University, 2018. http://hdl.handle.net/20.500.11937/70558.

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Consumers with chronic conditions have access to a plethora of mobile applications (‘apps’) to manage their health. Qualitative research confirmed consumers’ willingness to engage with this technology. A checklist was designed to assess the quality and usability of health apps, and trialled 11 asthma and 17 hypertension apps, identifying variable yet generally substandard quality. A concept map incorporating blockchain technology subsequently proposed how improved functionality and connectivity can enhance use of consumers’ self-monitored health data.

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Bücher zum Thema "Health and workout applications"

Lou, Schuler, and Mejia Michael, eds. The men's health home workout bible. Rodale, 2002.

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1932-, Knudson R. Rozanne, ed. The waterpower workout. New American Library, 1986.

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Martin, Suzanne. Energizing workout. Dorling Kindersley, 2012.

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Pagano, Joan. 15 minute total body workout. DK, 2008.

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Smith, Stewart. The TV watcher's workout. Five Star Pub., 1999.

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Reitebuch, Lukas. Mobile Health Applications. Springer Berlin Heidelberg, 2022. http://dx.doi.org/10.1007/978-3-662-66254-0.

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Tracy, Hafen, and Armour Lawrence A, eds. The RealAge workout: Maximum health, minimum work. Collins, 2006.

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Martin, Suzanne. 15 minute better back workout. DK, 2008.

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Martin, Suzanne. 15 Minute Better Back Workout. Dorling Kindersley Limited, 2008.

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Martin, Suzanne. 15 minute better back workout. DK, 2008.

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Buchteile zum Thema "Health and workout applications"

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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Volschenk, Francois, Hima Vadapalli, and Dustin van der Haar. "Exercise Recognition and Repetition Counting for Automatic Workout Documentation Using Computer Vision." In Digital Human Modeling and Applications in Health, Safety, Ergonomics and Risk Management. Springer Nature Switzerland, 2024. http://dx.doi.org/10.1007/978-3-031-61066-0_18.

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Perrino, Sabina M., and Joshua O. Reno. "Workout Choreography." In Pandemic Health and Fitness. Routledge, 2024. http://dx.doi.org/10.4324/9781003317036-2.

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Ünal, Perin, Seyma Kucukozer Cavdar, Tuğba Taşkaya Temizel, P. Erhan Eren, and Sriram Iyengar. "Exploring Behavior Change Features for Mobile Workout Applications." In Mobile Web and Intelligent Information Systems. Springer International Publishing, 2017. http://dx.doi.org/10.1007/978-3-319-65515-4_4.

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Wang, Honggang, Md Shaad Mahmud, Hua Fang, and Chonggang Wang. "Applications." In Wireless Health. Springer International Publishing, 2016. http://dx.doi.org/10.1007/978-3-319-47946-0_4.

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Nekorchuk, Dawn. "Health Applications." In Cloud-Based Remote Sensing with Google Earth Engine. Springer International Publishing, 2023. http://dx.doi.org/10.1007/978-3-031-26588-4_37.

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AbstractThe purpose of this chapter is to demonstrate how Google Earth Engine may be used to support modeling and forecasting of vector-borne infectious diseases such as malaria. In doing so, the chapter will also show how Earth Engine may be used to gather data for subsequent analyses outside of Earth Engine, the results of which can then also be brought back into Earth Engine.

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Braithwaite, Jeffrey, Robert L. Wears, and Erik Hollnagel. "Applications." In Resilient Health Care. CRC Press, 2016. http://dx.doi.org/10.1201/9781315366838-8.

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Doleman, Gemma, and Christine Duffield. "Administrative Applications." In Health Informatics. Springer International Publishing, 2021. http://dx.doi.org/10.1007/978-3-030-58740-6_9.

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Hannah, Richard S. "Education Applications." In Health Informatics. Springer New York, 1999. http://dx.doi.org/10.1007/978-1-4757-3095-1_10.

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Casebeer, Ann. "Research Applications." In Health Informatics. Springer New York, 1999. http://dx.doi.org/10.1007/978-1-4757-3095-1_11.

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Konferenzberichte zum Thema "Health and workout applications"

Uke, Shailaja, Varad Ghote, Ved Mundhe, Shreyas Thorat, and Ujjwal Patil. "Workout Pose Correction System using KNIFT." In 2024 IEEE 6th International Conference on Cybernetics, Cognition and Machine Learning Applications (ICCCMLA). IEEE, 2024. https://doi.org/10.1109/icccmla63077.2024.10871482.

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Bautista, Laurence Ray E., Chynna G. Mangalindan, Airis Jun Marie G. Masagca, Criselle J. Centeno, Marilou B. Mangrobang, and Dan Michael A. Cortez. "AI-Driven Personalized Fitness Workout Assistance and Tracker Using YOLOv8 Algorithm." In 2024 International Conference on Intelligent Cybernetics Technology & Applications (ICICyTA). IEEE, 2024. https://doi.org/10.1109/icicyta64807.2024.10912875.

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Yuwono, Dhiannisa Shabrina, Rachmad Setiawan, and Nada Fitrieyatul Hikmah. "Delayed Onset Muscle Soreness Analysis based on Discrete Wavelet Transform of EMG Signals on Leg Workout." In 2024 International Seminar on Intelligent Technology and Its Applications (ISITIA). IEEE, 2024. http://dx.doi.org/10.1109/isitia63062.2024.10668303.

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Ilukpitiya, I. M. D. J. R. B., H. M. R. B. Herath, R. H. M. S. A. Rajakaruna, M. H. S. M. Herath, Koliya Pulasinghe, and Jenny Krishara. "AI-Driven Personalized Fitness Coaching with Body Type-Based Workout and Nutrition Plans and Real-Time Exercise Feedback." In 2024 International Conference on Computer and Applications (ICCA). IEEE, 2024. https://doi.org/10.1109/icca62237.2024.10928121.

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Awoyemi, Bosede Olanike, Udosen Jacob Idem, John Oloruntoba Awoyemi, Isaiah Oluyinka Oluwagbade, and Maimuna Jafaru Yahaya. "The Roles of Digital Health Technologies-Mobile Health Applications and Wearable Health Devices in Nigerian Health Performance." In 2024 IEEE 5th International Conference on Electro-Computing Technologies for Humanity (NIGERCON). IEEE, 2024. https://doi.org/10.1109/nigercon62786.2024.10927022.

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Sabri, Yassir, Zaoui Fatima, Boudi El Mostapha, and Benyahia Hicham. "3D Virtual Model Simulation: Applications for Dento-Facial Deformities." In International e-Health Forum. SCITEPRESS - Science and Technology Publications, 2023. http://dx.doi.org/10.5220/0012866300003854.

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Bhanuse, Vijaykumar Rayappa, Om Ulhas Gotmare, Gayatri Sunil Relekar, Rakesh Gangadhar Dhindore, and Piyush Vishwas Kumbhakern. "Early Health Risk Screening." In 2024 International Conference on Intelligent Systems and Advanced Applications (ICISAA). IEEE, 2024. https://doi.org/10.1109/icisaa62385.2024.10828611.

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Bhalekar, Neha S., and Swati Chandna. "A Smart Fitness Application for Pregnancy that Recommends Workout Plans based on Health Conditions." In The 8th World Congress on Electrical Engineering and Computer Systems and Science. Avestia Publishing, 2022. http://dx.doi.org/10.11159/mhci22.113.

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Jin, Weibo, and Megan Liu. "An Informational Hub that Utilizes Modern Application User Interfaces to Encourage Healthy Lifestyles." In 12th International Conference on Digital Image Processing and Vision. Academy & Industry Research Collaboration, 2023. http://dx.doi.org/10.5121/csit.2023.131329.

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The idea for this app is a platform for people and especially athletes to know proper dieting, exercising, and how to recover from workout-related accidents [2]. I had to go online and search up everything I needed to know and sometimes I would get false information from the wrong websites. Athletes should be able to see what is good for them to eat, what kinds of workouts they should do everyday, as well as how to recover from certain injuries that they may sustain. When the user logs in to the app they will see options that say recovery exercise news and nutrition pages that contain all the

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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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Berichte der Organisationen zum Thema "Health and workout applications"

Agarwal, Smisha, Madhu Jalan, Holly C. Wilcox, et al. Evaluation of Mental Health Mobile Applications. Agency for Healthcare Research and Quality (AHRQ), 2022. http://dx.doi.org/10.23970/ahrqepctb41.

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Background. Mental health mobile applications (apps) have the potential to expand the provision of mental health and wellness services to traditionally underserved populations. There is a lack of guidance on how to choose wisely from the thousands of mental health apps without clear evidence of safety, efficacy, and consumer protections. Purpose. This Technical Brief proposes a framework to assess mental health mobile applications with the aim to facilitate selection of apps. The results of applying the framework will yield summary statements on the strengths and limitations of the apps and ar

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Keller, Jennie. Literature Review: Silicone Applications in Health Care. Office of Scientific and Technical Information (OSTI), 2014. http://dx.doi.org/10.2172/1133320.

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Veazie, Stephanie, Kara Winchell, Jennifer Gilbert, et al. Mobile Health Applications for Self-Management of Diabetes. Agency for Healthcare Research and Quality, 2018. http://dx.doi.org/10.23970/ahrqepctb31.

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Luoto, Jill, and Katherine Grace Carman. Behavioral Economics Guidelines with Applications for Health Interventions. Inter-American Development Bank, 2014. http://dx.doi.org/10.18235/0009206.

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Chronic diseases have risen in prominence in recent years and are now the major cause of morbidity and mortality globally. The rise in rates of obesity and aging populations are two primary drivers of this global trend, which is predicted to continue to rise in the absence of effective interventions. Notably, much of this disease burden is due to individual behaviors such as physical inactivity, tobacco use, poor eating habits, and lack of proper preventive care. The growing field of behavioral economics combines the fields of psychology and economics to present a potentially promising new und

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Ludvigson, Laura D. Bio-Aerosol Detection Using Mass Spectrometry: Public Health Applications. Office of Scientific and Technical Information (OSTI), 2004. http://dx.doi.org/10.2172/15009807.

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Merrill, D. W. Density equalizing map projections (cartograms) in public health applications. Office of Scientific and Technical Information (OSTI), 1998. http://dx.doi.org/10.2172/290959.

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Burgess, Lawrence. SimCenter Hawaii: Virtual Reality Applications for Health Care Education and Training. Defense Technical Information Center, 2008. http://dx.doi.org/10.21236/ada520182.

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Kolodziejczyk, Bart. Unsettled Economic, Environmental, and Health Issues of Ammonia for Automotive Applications. SAE International, 2021. http://dx.doi.org/10.4271/epr2021022.

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Ammonia has been previously trialed as an automotive fuel; however, it was hardly competitive with fossil fuels in terms of cost, energy density, and practicality. However, due to climate change, those practical and cost-related parameters have finally become secondary deciding factors in fuel selection. Ammonia is safer than most fuels and it offers superior energy densities compared to compressed or liquefied hydrogen. It is believed that ammonia might be an ultimate clean fuel choice and an extension to the emerging hydrogen economy. Unsettled Economic, Environmental, and Health Issues of A

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Dioguardi, Mario. Public Health Impact and Potential Biomedical Applications of Solenopsis Invicta Venom. INPLASY - International Platform of Registered Systematic Review and Meta-analysis Protocols, 2024. http://dx.doi.org/10.37766/inplasy2024.9.0103.

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Berg, K. Phase II -- Photovoltaics for Utility Scale Applications (PVUSA): Safety and health action plan. Office of Scientific and Technical Information (OSTI), 1994. http://dx.doi.org/10.2172/79056.

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