The Calorie Burning Calculation System in Jogging Using a Thresholding-Based Accelerometer Sensor
Corresponding Author(s) : Finanta Okmayura
Kinetik: Game Technology, Information System, Computer Network, Computing, Electronics, and Control,
Vol. 5, No. 2, May 2020
Abstract
Jogging has benefits for burning calories as well as for losing the weight of the body. However, the reality that often happens is that sportsmen overwork their body in exercising so that it has passed its normal threshold. This causes over or lower calorie burning in these athletes. To overcome these problems, we need a device that can later monitor calorie burning. This device is created on an Android-based platform using an accelerometer sensor. Using this sensor, the system can count the number of a person’s steps previously obtained through the threshold value as the threshold value to determine the steps. Calculation of calorie burning uses a formula that involves the number of footsteps, time, and weight of the user. This application testing involved 15 participants by comparing the calorie burning results through the application and manual calculation, so that the overall error percentage of 0.60% was obtained, so it can be concluded that 99.40% of the calorie burning calculation system in jogging using a thresholding-based accelerometer sensor is appropriate for athletes to provide information of their calories burning in jogging.
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- Azizah, F., Akhriza, T., & Prasetyo, A. (2017). APLIKASI ANDROID UNTUK MEMBANTU PROGRAM DIET BERBASIS AKTIVITAS. Seminar Nasional Sistem Informasi (SENASIF), 1(1), 587 - 597. Retrieved from https://jurnalfti.unmer.ac.id/index.php/senasif/article/view/78
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- Zhong, S., Wang, L., Bernardos, A. M., & Song, M. (2010). An accurate and adaptive pedometer integrated in mobile health application. https://doi.org/10.1049/cp.2010.1032
- Mehta, D. D., Zanartu, M., Feng, S. W., Cheyne II, H. A., & Hillman, R. E. (2012). Mobile voice health monitoring using a wearable accelerometer sensor and a smartphone platform. IEEE Transactions on Biomedical Engineering, 59(11), 3090-3096. https://doi.org/10.1109/TBME.2012.2207896
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- Olajuwon, M. D. S., Atmadja, A. R., & Wahana, A. (2018). Aplikasi Pendeteksi Kalori Terbakar dengan Smartphone Menggunakan Sensor Accelerometer dan Pedometer. INSIGHT, 1(1), 148-154. https://doi.org/10.15575/insight.v1i1.62
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References
Azizah, F., Akhriza, T., & Prasetyo, A. (2017). APLIKASI ANDROID UNTUK MEMBANTU PROGRAM DIET BERBASIS AKTIVITAS. Seminar Nasional Sistem Informasi (SENASIF), 1(1), 587 - 597. Retrieved from https://jurnalfti.unmer.ac.id/index.php/senasif/article/view/78
Kasim, S., & Zakaria, F. A. (2013, August). Daily calorie manager for basic daily use. In Third International Conference on Innovative Computing Technology (INTECH 2013) (pp. 437-442). IEEE. https://doi.org/10.1109/INTECH.2013.6653675
Jain, Y., Chowdhury, D., & Chattopadhyay, M. (2017, December). Machine Learning Based Fitness Tracker Platform Using MEMS Accelerometer. In 2017 International Conference on Computer, Electrical & Communication Engineering (ICCECE) (pp. 1-5). IEEE. https://doi.org/10.1109/ICCECE.2017.8526202
Reddy, G. K., & Achari, K. L. (2015, January). A non invasive method for calculating calories burned during exercise using heartbeat. In 2015 IEEE 9th International Conference on Intelligent Systems and Control (ISCO) (pp. 1-5). IEEE. https://doi.org/10.1109/ISCO.2015.7282249
Kusuma, W. A. (2019, January). MONITORING LANGKAH KAKI DENGAN SENSOR MPU6050 UNTUK MENGHITUNG JUMLAH KALORI TERBAKAR BERDASARKAN ANALISIS GAYA BERJALAN. In Prosiding SENTRA (Seminar Teknologi dan Rekayasa) (No. 4, pp. 50-55). https://doi.org/10.22219/sentra.v0i4.2285
De Cillis, F., De Simio, F., Guido, F., Incalzi, R. A., & Setola, R. (2015, August). Fall-detection solution for mobile platforms using accelerometer and gyroscope data. In 2015 37th Annual International Conference of the IEEE Engineering in Medicine and Biology Society (EMBC) (pp. 3727-3730). IEEE. https://doi.org/10.1109/EMBC.2015.7319203
Wahyu Andhyka Kusuma, W. A. K., Sari, Z., Fitriani, D. A., Norhabibah, S., Ubay, S. N., & Wibowo, H. (2018). Monitoring Walking Devices For Calorie Balance In Patients With Medical Rehabilitation Needs. Proceeding of the Electrical Engineering Computer Science and Informatics, 5(5), 460-463. https://doi.org/10.1109/EECSI.2018.8752761
Rahman, T., & Kurniawan, D. (2017). PERANCANGAN PEDOMETER BERBASIS SENSOR ACCELOROMETER ANDROID. JITK (Jurnal Ilmu Pengetahuan Dan Teknologi Komputer), 2(2), 122-130. Retrieved from http://ejournal.nusamandiri.ac.id/index.php/jitk/article/view/392
Tirasirichai, B., Thanomboon, P., Soontorntham, P., Kusakunniran, W., & Robinson, M. (2018, July). Bloom Balance: Calorie Balancing Application With Scientific Validation. In 2018 15th International Joint Conference on Computer Science and Software Engineering (JCSSE) (pp. 1-6). IEEE. https://doi.org/10.1109/JCSSE.2018.8457177
Reiaz, S., Mcharek, I., Shabbir, R., Lim, H. C., Talukder, D., Udasi, R., ... & Malek, K. A. (2019, August). CalorieKiller: Burning Calories using Mobile Exergame with Wearables. In 2019 IEEE 7th International Conference on Serious Games and Applications for Health (SeGAH) (pp. 1-5). IEEE. https://doi.org/10.1109/SeGAH.2019.8882453
Sai, R. P., Bapanapalle, S., Praveen, K., & Sunil, M. P. (2016, August). Pedometer and calorie calculator for fitness tracking using mems digital accelerometer. In 2016 International Conference on Inventive Computation Technologies (ICICT) (Vol. 1, pp. 1-6). IEEE. https://doi.org/10.1109/INVENTIVE.2016.7823237
Khalif, M., Syauqy, D., & Maulana, R. (2017). Pengembangan Sistem Penghitung Langkah Kaki Hemat Daya Berbasis Wemos D1 Mini. Jurnal Pengembangan Teknologi Informasi Dan Ilmu Komputer, 2(6), 2211-2220. Retrieved from http://j-ptiik.ub.ac.id/index.php/j-ptiik/article/view/1567
Naranjo, D., Roa, L. M., Reina-Tosina, L. J., & Estudillo, M. A. (2009, November). Optimization procedure for the impact detection thresholds in an Accelerometer Smart Sensor. In 2009 9th International Conference on Information Technology and Applications in Biomedicine (pp. 1-4). IEEE. https://doi.org/10.1109/ITAB.2009.5394354
Rakhman, A. Z., & Nugroho, L. E. (2014, November). Fall detection system using accelerometer and gyroscope based on smartphone. In 2014 The 1st International Conference on Information Technology, Computer, and Electrical Engineering (pp. 99-104). IEEE. . https://doi.org/10.1109/ICITACEE.2014.7065722
Liu, B., Wang, D., Li, S., Nie, X., Xu, S., Jiao, B., ... & Huang, A. (2015, August). Design and implementation of an intelligent belt system using accelerometer. In 2015 37th Annual International Conference of the IEEE Engineering in Medicine and Biology Society (EMBC) (pp. 2043-2046). IEEE. . https://doi.org/10.1109/EMBC.2015.7318788
Buddharaju, P., & Siva Chandra Prasad Pamidi, N. (2013). Mobile exergames-Burn Calories while playing games on a smartphone. In Proceedings of the IEEE Conference on Computer Vision and Pattern Recognition Workshops (pp. 50-51). . https://doi.org/10.1109/CVPRW.2013.13
Wu, S. S., & Wu, H. Y. (2011, December). The design of an intelligent pedometer using Android. In 2011 Second International Conference on Innovations in Bio-inspired Computing and Applications (pp. 313-315). IEEE. . https://doi.org/10.1109/IBICA.2011.83
Le, T. M., & Pan, R. (2009, November). Accelerometer-based sensor network for fall detection. In 2009 IEEE Biomedical Circuits and Systems Conference (pp. 265-268). IEEE. https://doi.org/10.1109/BIOCAS.2009.5372032
Wibisono, W., Arifin, D. N., Pratomo, B. A., Ahmad, T., & Ijtihadie, R. M. (2013, December). Falls detection and notification system using tri-axial accelerometer and gyroscope sensors of a smartphone. In 2013 Conference on Technologies and Applications of Artificial Intelligence (pp. 382-385). IEEE. https://doi.org/ 10.1109/TAAI.2013.82
Liu, Q., He, X., Qiao, X., Sun, T., & Grattan, K. T. (2019). Design and Modelling of a High Sensitivity Fiber Bragg Grating-based Accelerometer. IEEE Sensors Journal. https://doi.org/10.1109/JSEN.2019.2904218
Zhong, S., Wang, L., Bernardos, A. M., & Song, M. (2010). An accurate and adaptive pedometer integrated in mobile health application. https://doi.org/10.1049/cp.2010.1032
Mehta, D. D., Zanartu, M., Feng, S. W., Cheyne II, H. A., & Hillman, R. E. (2012). Mobile voice health monitoring using a wearable accelerometer sensor and a smartphone platform. IEEE Transactions on Biomedical Engineering, 59(11), 3090-3096. https://doi.org/10.1109/TBME.2012.2207896
Admane, M. P., & Jasutkar, R. (2014, February). Speech to text and accelerometer based smart phone interaction system. In International Conference on Information Communication and Embedded Systems (ICICES2014) (pp. 1-4). IEEE. https://doi.org/10.1109/ICICES.2014.7033916
Olajuwon, M. D. S., Atmadja, A. R., & Wahana, A. (2018). Aplikasi Pendeteksi Kalori Terbakar dengan Smartphone Menggunakan Sensor Accelerometer dan Pedometer. INSIGHT, 1(1), 148-154. https://doi.org/10.15575/insight.v1i1.62
Jefiza, A., Pramunanto, E., Boedinoegroho, H., & Purnomo, M. H. (2017, September). Fall detection based on accelerometer and gyroscope using back propagation. In 2017 4th International Conference on Electrical Engineering, Computer Science and Informatics (EECSI) (pp. 1-6). IEEE. . https://doi.org/10.1109/EECSI.2017.8239149