Sistem Deteksi Jatuh dan Peringatan Dini Pada Manusia Berbasis Android
DOI:
https://doi.org/10.30865/json.v3i3.3927Keywords:
Fall Detection, Alert System, Accelerometer, Android, GPSAbstract
Falling is an event that has often happened to humans in the surrounding environment, and almost every human being has experienced a fall. The condition of falling in humans can have very serious effects, such as injuries and may even increase the risk of death. The cause of death due to a fall can be caused by several factors, including the weakness of a person's ability to stand back up after a fall, when he falls there is no first aid, someone who falls has difficulty contacting his family or closest people. The purpose of this study is to build a fall detection system in humans. This system utilizes the accelerometer sensor on a smartphone to detect human movement. The fall detection system can run with various conditions of falling motion position with an accuracy level of 87.27% from a total of 110 trials, and a sensitivity of 77.5% so it is properly to use in detecting falling motion.References
J. Rothschild, W. Hospital, D. W. Bates, and W. Hospital, “Preventable Medical Injuries in Older Patients,†no. November, 2000.
T. Manyazewal, “Using the World Health Organization health system building blocks through survey of healthcare professionals to determine the performance of public healthcare facilities,†pp. 1–8, 2017.
P. Barralon, N. Noury, N. Vuillerme, L. Timc-imag, and E. Afirm, “Classification of Daily Physical Activities from a Single Kinematic Sensor,†pp. 2447–2450, 2005.
V. R. Chifu et al., “Identifying and Monitoring the Daily Routine of Seniors Living at Home,†2022.
A. Ahrabian, T. Elsaleh, Y. Fathy, and P. Barnaghi, “Detecting changes in the variance of multi-sensory accelerometer data using MCMC,†Proc. IEEE Sensors, vol. 2017-Decem, pp. 1–3, 2017.
P. Goldajeyasheeli, “Energy Efficient Location Tracking For Android Smartphones,†vol. 117, no. 22, pp. 243–246, 2017.
V. S. Kushwaha, D. Yadav, A. Topinkatti, and A. Kumari, “CAR ACCIDENT DETECTION SYSTEM USING GPS AND GSM,†vol. 2, no. 1, pp. 12–17, 2015.
J. Mounika, N. Charanjit, B. Saitharun, and B. Vashista, “Accident Alert and Vehicle Tracking System using GPS and GSM,†vol. 5, no. 2, pp. 81–89, 2021.
J. Yu, W. Cheng, X. Cheng, T. Song, and N. Capurso, “An Android-Based Mechanism for Energy Efficient Localization Depending on Indoor/Outdoor Context,†IEEE Internet Things J., vol. 4, no. 2, pp. 299–307, 2016.
P. Sheoran, “Intelligent Mobile Human Fall Detection System,†vol. 4, no. 6, pp. 62–67, 2017.
T. ; S. T. Sugino, Kyohei ; Niwa, Yusuke ; Shiramatsu, Shun ; Ozono, “Developing a Human Motion Detector using Bluetooth Beacons and its Applications,†Inf. Eng. Express, vol. 1, no. 4, p. PP.95-105, 2015.
D. M. Karantonis, M. R. Narayanan, M. Mathie, N. H. Lovell, and B. G. Celler, “Implementation of a real-time human movement classifier using a triaxial accelerometer for ambulatory monitoring,†IEEE Trans. Inf. Technol. Biomed., vol. 10, no. 1, pp. 156–167, 2006.
G. Trein, N. Singh, and P. Maddila, “Simple approach for indoor mapping using low-cost accelerometer and gyroscope sensors,†p. 5, 2012.
W. Wibisono, D. N. Arifin, B. A. Pratomo, T. Ahmad, and R. M. Ijtihadie, “Falls Detection and Notification System Using Tri-Axial Accelerometer and Gyroscope Sensors of A Smartphone,†2013.
A. Z. Rakhman, “Fall Detection System Using Accelerometer and Gyroscope Based on Smartphone,†pp. 99–104, 2014.
B. Aguiar, T. Rocha, and J. Silva, “Accelerometer-Based Fall Detection for Smartphones,†2014.
Aguiar, Bruno, et al. "Accelerometer-based fall detection for smartphones." Medical Measurements and
Applications (MeMeA), 2014 IEEE International Symposium on. IEEE, 2014.
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