JCEEES
Journal of Computer & Electrical and Electronics Engineering Sciences

JCEEES aims to publish original articles covering the theoretical foundations of major computer, electronic and electrical engineering sciences, as well as academic, commercial and educational aspects that propose new ideas for the application and design of artificial intelligence, software and information systems. In addition to wide-ranging regular topics, JCEEES also makes it a principle to include special topics covering specific topics in all areas of interest mainly in computational medicine, artificial intelligence, computer science, and electrical & electronic engineering science.

eISSN: 2980-177X
Creative Commons CC BY-NC-ND 4.0 International License.

Online Manuscript System

Index
Original Article
Personalized special training follow-up application Cardiofit2
Abstract
Mobile applications are preferred by many people due to the convenience they provide to users and their low cost. Mobile applications, which are widely used in many fields, also appear in many different forms in the field of fitness and health. Mobile application experts, who closely follow technological developments, update these applications periodically. Thus, with new training and nutrition recommendations provided to users, users are provided with easy access to technological developments as well as developments in sports. Mobile applications also aim to create a fitness and health routine for their users in daily life with the feedback they provide based on user preferences and motivating warnings to users. The fitness and health application we have developed called "Cardiofit2" also allows users to save their personal information and access personalized exercise programs created using this information. The application is designed to enable users to easily achieve their fitness goals with weekly exercise programs in the short and long term. It also aims to provide more comprehensive support to users with features such as exercise history, daily water consumption warnings, pedometer and smart watch integration. Cardiofit2 is an improvable platform that helps users gain healthy lifestyle habits with its aesthetic design and strong technical infrastructure. The application aims to guide users in achieving their fitness goals with its user-friendly interface, personalized exercise programs and health tracking features. It supports users' transition from a sedentary lifestyle to a healthier lifestyle with regular feedback and motivational alerts.

Keywords : Fitness, kotlin, firebase, mobile application.

Download Article


1. Ahn, H., & Park, E. (2023). Motivations for user satisfaction ofmobile fitness applications: An analysis of user experience basedon online review comments.Humanities and Social SciencesCommunications,10(1), 1-7.
2. Bhargava, Y., & Nabi, J. (2020). The opportunities, challengesand obligations of Fitness Data Analytics.Procedia ComputerScience,167, 1354-1362.
3. Boateng, G., Petersen, C. L., Kotz, D., Fortuna, K. L., Masutani,R., & Batsis, J. A. (2022). A smartwatch step-counting app forolder adults: development and evaluation study.JMIR Aging,5(3),e33845.
4. Chalmers, T., Hickey, B. A., Newton, P., et al. (2021). Stress watch:the use of heart rate and heart rate variability to detect stress: apilot study using smart watch wearables.Sensors,22(1), 151.
5. Curralo AF, Faria PM, Curado A, Azeredo P, Lopes SI. (2022).Designing a UX Mobile App for Hydration and SustainabilityTracking in Academia. 13th International Conference on AppliedHuman Factors and Ergonomics
6. Folkvord, F., van Breugel, A., de Haan, S., de Wolf, M., deBoer, M., & Abeele, M. V. (2021). A protocol study to establishpsychological outcomes from the use of wearables for health andfitness monitoring.Frontiers in Digital Health,3, 708159.
7. Germini, F., Noronha, N., Borg Debono, et al. (2022). Accuracyand acceptability of wrist-wearable activity-tracking devices:systematic review of the literature.Journal of Medical InternetResearch,24(1), e30791.
8. Hegde, N., Melanson, E., & Sazonov, E. (2016, August).Development of a real time activity monitoring Androidapplication utilizing SmartStep. In2016 38th AnnualInternational Conference of the IEEE Engineering in Medicine andBiology Society (EMBC)(pp. 1886-1889). IEEE.
9. Herrmann, L. K., & Kim, J. (2017). The fitness of apps: atheory-based examination of mobile fitness app usage over 5months.Mhealth,3, 2.
10. Higgins, J. P. (2016). Smartphone applications for patients’ healthand fitness.The American Journal of Medicine,129(1), 11-19.
11. Jee, H. (2017). Review of researches on smartphone applicationsfor physical activity promotion in healthy adults.Journal ofExercise Rehabilitation,13(1), 3.
12. Khaghani-Far, I., Nikitina, S., Baez, M., Taran, E. A., & Casati,F. (2016). Fitness applications for home-based training.IEEEPervasive Computing,15(4), 56-65.
13. Liu, R., & Lin, F. X. (2016). Understanding the characteristics of androidwear OS. InProceedings of the 14th Annual International Conference onMobile Systems, Applications, and Services(pp. 151-164).
14. Nissen, M., Slim, S., Jäger, K., et al. (2022). Heart rate measurementaccuracy of Fitbit Charge 4 and Samsung Galaxy Watch Active2: deviceevaluation study.JMIR Formative Research,6(3), e33635.
15. Philip, B. J., Abdelrazek, M., Bonti, A., Barnett, S., & Grundy, J. (2022).Data collection mechanisms in health and wellness apps: review andanalysis.JMIR mHealth and uHealth,10(3), e30468.
16. Rockmann, R., & Gewald, H. (2019). Individual fitness app use: therole of goal orientations and motivational affordances. Twenty-fifthAmericas Conference on Information Systems, Cancún, 2019.
17. Voth, E. C., Oelke, N. D., & Jung, M. E. (2016). A theory-based exerciseapp to enhance exercise adherence: a pilot study.JMIR mHealth anduHealth,4(2), e4997.
18. Yang, M., Guo, J., Zhao, Z., Xu, T., & Bai, L. (2020). Teenager healthoriented data security and privacy protection research for smartwearable device.Procedia Computer Science,174, 333-339.
19. Yu, J. H., Ku, G. C. M., Lo, Y. C., Chen, C. H., & Hsu, C. H. (2021).Identifying the antecedents of university students’ usage behaviour offitness Apps.Sustainability,13(16), 9043.
20. Zhang, X., & Xu, X. (2020). Continuous use of fitness appsand shaping factors among college students: A mixed-methodinvestigation.International Journal of Nursing Sciences,7, S80-S87.
Article available in :
Volume 2, Issue 1, 2024
Page : 25-30
https://doi.org/10.51271/JCEEES-0014
Article Information
Received : 06 Mar 2024
Accepted : 16 Apr 2024
Published : 27 Apr 2024
Corresponding Author :

Büşra Yılmaz: Faculty of Sport Sciences,Gazi University, Ankara, Turkiye

[email protected]
Citation : Akbaba, B.E., Akpınarlı, E., Sarısoy, F., Yılmaz, B., Şenel, Ö., & Günay, M. (2024) Personalized special training follow-up application Cardiofit2. J Comp Electr Electron Eng Sci, 2(1), 25-30.

Read: 216
Cited: 0
Download : 38
_Footer