Development of distance measurement accuracy technology in physical activity tracking applications with a reward point system
Keywords:
Accelerometer, Distance Measurement, GPS, Physical Activity, Reward Point SystemDOI:
https://doi.org/10.35335/85rbrg31Abstract
In the digital era, physical activity tracking applications have become increasingly popular as tools to monitor body health and encourage healthy habits. However, the accuracy of distance measurements used by many of these applications still faces challenges, especially in environments with GPS signal interference. This research aims to develop a system that integrates GPS technology and accelerometer sensors to improve the accuracy of distance measurements in physical activity tracking applications. The developed system was tested through a prototype to evaluate the effectiveness of combining these two technologies in improving measurement results. Additionally, this research also designs a database system for efficient physical activity data management, enabling real-time monitoring. To enhance user motivation, a reward point system was applied as a gamification element to encourage further engagement in physical activities. The results of this research show that the combined use of GPS and accelerometers was able to improve measurement accuracy, with errors ranging from 2.4% to 4.2%, depending on the type of activity performed. Walking activities demonstrated higher accuracy compared to running. The reward point system was also proven to be effective in motivating users to be more active. This research provides an important contribution to the development of more accurate, efficient health applications that can improve both physical and mental well-being
References
Ahn, S. J. (Grace), Johnsen, K., & Ball, C. (2019). Points-Based Reward Systems in Gamification Impact Children’s Physical Activity Strategies and Psychological Needs. Health Education & Behavior, 46(3), 417–425. https://doi.org/10.1177/1090198118818241
Al-Khowarizmi, Efendi, S., Nasution, M. K., & Herman, M. (2023). The Role of Detection Rate in MAPE to Improve Measurement Accuracy for Predicting FinTech Data in Various Regressions. 2023 International Conference on Computer Science, Information Technology and Engineering (ICCoSITE), 874–879. https://doi.org/10.1109/ICCoSITE57641.2023.10127820
Altini, M., Rossetti, E., Rooijakkers, M., Penders, J., Lanssens, D., Grieten, L., & Gyselaers, W. (2017). Variable-length accelerometer features and electromyography to improve accuracy of fetal kicks detection during pregnancy using a single wearable device. 2017 IEEE EMBS International Conference on Biomedical & Health Informatics (BHI), 221–224. https://doi.org/10.1109/BHI.2017.7897245
Bull, F. C., Al-Ansari, S. S., Biddle, S., Borodulin, K., Buman, M. P., Cardon, G., Carty, C., Chaput, J.-P., Chastin, S., Chou, R., Dempsey, P. C., DiPietro, L., Ekelund, U., Firth, J., Friedenreich, C. M., Garcia, L., Gichu, M., Jago, R., Katzmarzyk, P. T., … Willumsen, J. F. (2020). World Health Organization 2020 guidelines on physical activity and sedentary behaviour. British Journal of Sports Medicine, 54(24), 1451–1462. https://doi.org/10.1136/bjsports-2020-102955
Henriksen, A., Johannessen, E., Hartvigsen, G., Grimsgaard, S., & Hopstock, L. A. (2021). Consumer-based activity trackers as a tool for physical activity monitoring in epidemiological studies during the COVID-19 pandemic: Development and usability study. JMIR Public Health and Surveillance, 7(4). https://doi.org/10.2196/23806
Jafargholi, A., & Fleury, R. (2024). GPS Interference Cancellation Using Metamaterials. 2024 Eighteenth International Congress on Artificial Materials for Novel Wave Phenomena (Metamaterials), 1–3. https://doi.org/10.1109/Metamaterials62190.2024.10703254
Kimm, H., & Flynn, D. (2022). Android Application for Tracking Pedestrian Movements in Realtime with Firebase. 2022 IEEE Cloud Summit, 91–96. https://doi.org/10.1109/CloudSummit54781.2022.00020
Kirwan, M., Duncan, M. J., Vandelanotte, C., & Mummery, W. K. (2013). Design, Development, and Formative Evaluation of a Smartphone Application for Recording and Monitoring Physical Activity Levels. Health Education & Behavior, 40(2), 140–151. https://doi.org/10.1177/1090198112449460
Md Abdul Althaf, Kondu Sushma, & Pasunuri Shivakumar. (2022). IoT Based Automatic Vehicle Accident Tracking Down and Alerting System Using GPS and Twilio. International Journal of Engineering Technology and Management Sciences, 6, 107–111. https://doi.org/10.46647/ijetms.2022.v06i03.017
Merry, K., & Bettinger, P. (2019). Smartphone GPS accuracy study in an urban environment. PLOS ONE, 14(7), e0219890. https://doi.org/10.1371/journal.pone.0219890
Noori, N. M., Saleem, A. N., & Anwar, M. (2024). Gamification Application for Promoting and Encouraging Physical Activity in the Elderly. Eurasian Journal of Science and Engineering, 10(2). https://doi.org/10.23918/eajse.v10i2p16
Nurjanah, N., Mubarokah, K., Haikal, H., Setiono, O., Belladiena, A. N., Muthoharoh, N. A., Syifa, N., & Savićević, A. J. (2025). Is Adolescent Physical Literacy Linked to Their Mental Health ? 13(1), 85–93. https://doi.org/10.20473/jpk.V13.I1SI.2025.85-93
Nurmanditya, M. I., Risnanto, S., Gunawan, Wiharko, T., Sukmana, R. N., Pudjoatmodjo, B., & Plojović, Š. (2023). MySSOF: Gamification Reward System for Enhancing Employee Participation and Activeness in Organizational Activities. TEM Journal, 12(4), 2339–2349. https://doi.org/10.18421/TEM124-46
Ó Breasail, M., Biswas, B., Smith, M., Mazhar, M., Tenison, E., Cullen, A., Lithander, F., Roudaut, A., & Henderson, E. (2021). Wearable GPS and Accelerometer Technologies for Monitoring Mobility and Physical Activity in Neurodegenerative Disorders: A Systematic Review. Sensors, 21(24), 8261. https://doi.org/10.3390/s21248261
Radilla, C., Gutiérrez, R., Vega, S., Pérez, J., Vazquez, M., & Radilla, M. (2020). Association between physical activity by number of steps and nutritional status in adolescents of Mexico City. Proceedings of the Nutrition Society, 79(OCE2), E303. https://doi.org/10.1017/S0029665120002517
Rakestraw, D., Higgins, D., Harris, D., Allen, M., Red, E., Lang, D., Gamez, M., & Strubbe, D. A. (2023). Exploring Newton’s Second Law and Kinetic Friction Using the Accelerometer Sensor in Smartphones. The Physics Teacher, 61(6), 473–476. https://doi.org/10.1119/5.0067422
Riaboff, L., Shalloo, L., Smeaton, A. F., Couvreur, S., Madouasse, A., & Keane, M. T. (2022). Predicting livestock behaviour using accelerometers: A systematic review of processing techniques for ruminant behaviour prediction from raw accelerometer data. Computers and Electronics in Agriculture, 192, 106610. https://doi.org/10.1016/j.compag.2021.106610
Santos, C., Araújo, T., Morais, J., & Meiguins, B. (2017). Hybrid Approach Using Sensors, GPS and Vision Based Tracking to Improve the Registration in Mobile Augmented Reality Applications. International Journal of Multimedia and Ubiquitous Engineering, 12(4), 117–130. https://doi.org/10.14257/ijmue.2017.12.4.10
Setiadi, B., Solihin, R., Supriyadi, T., Tohir, T., & Sudrajat, S. (2023). Estimasi Jarak pada Sistem Koordinat Berbasis Metode Haversine menggunakan Tapis Kalman. ELKOMIKA: Jurnal Teknik Energi Elektrik, Teknik Telekomunikasi, & Teknik Elektronika, 11(1), 207. https://doi.org/10.26760/elkomika.v11i1.207
Tran, Y., Hashimoto, N., Ando, T., Sato, T., Konishi, N., Takeda, Y., & Akamatsu, M. (2022). Activity-Based Model using GPS Data and Google APIs. 2022 IEEE 25th International Conference on Intelligent Transportation Systems (ITSC), 1723–1729. https://doi.org/10.1109/ITSC55140.2022.9922042
Wiley, K., Berger, P., Achim Friehs, M., & Lee Mandryk, R. (2024). Measuring the Reliability of a Gamified Stroop Task: Quantitative Experiment. JMIR Serious Games, 12(1). https://doi.org/10.2196/50315
Wiryaputra, S., Hansun, S., & Wiratama, Y. W. (2016). Rancang Bangun Aplikasi E-Learning Moonlay Academy Dengan Metode Gamifikasi Dan Algoritma Knuth Shuffle Design of Academy Moonlay E-Learning Application With Gamification Method and Knuth Shuffle Algorithm. Jurnal Teknik Dan Ilmu Komputer, 5(19), 305–317.
Yancheng, Y., Li, Z., Fengxuan, W., Xinzheng, Z., Gang, S., & Yong, G. (2023). Application Research on Vehicle Mileage Calculation Based on GPS Monitoring. 2023 IEEE 3rd International Conference on Data Science and Computer Application (ICDSCA), 104–107. https://doi.org/10.1109/ICDSCA59871.2023.10392896
Yi, L., Habre, R., Mason, T. B., Xu, Y., Cabison, J., Rosales, M., Chu, D., Chavez, T. A., Johnson, M., Eckel, S. P., Bastain, T. M., Breton, C. V, Wilson, J. P., & Dunton, G. F. (2024). Smartphone GPS-Based Exposure to Greenspace and Walkability and Accelerometer-Assessed Physical Activity During Pregnancy and Early Postpartum-Evidence from the MADRES Cohort. Journal of Urban Health : Bulletin of the New York Academy of Medicine, 101(6), 1128–1142. https://doi.org/10.1007/s11524-024-00903-6
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Copyright (c) 2025 Oki Setiono, Nurjanah Nurjanah, Kismi Mubarokah, Haikal Haikal, Muhammad Iqbal (Author)
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