EVALUATION OF FALLING AND SQUAT MOVEMENT USING FALL DETECTION SYSTEM BASED ON ACCELEROMETER SENSOR

Authors

  • Gigih Gumilar Institut Teknologi Nasional Bandung
  • Hendi Handian Rachmat Laboratorium Elektronika, Jurusan Teknik Elektro, Institut Teknologi Nasional Bandung

DOI:

https://doi.org/10.25124/jett.v7i1.1488

Keywords:

Accelerometer, Ambulatory, Falling, Squat, Wearable, Wireless

Abstract

In this study, accelerometer sensor used as fall detection system in, Wearable, and Ambulatory in order to evaluate falling and squat movement. This system consists of two parts, the transmitter and the receiver. Both parts were equipped with a 2,4Ghz radio frequency wireless communication system to transmit data from accelerometer between the two parts. The accelerometer Sensor is placed on the transmitter to detect the three axes of gravity acceleration and the magnitude values in the event of fall and squat using the ATMEGA328 control unit. The transmitter parts is placed on the waist for the test to detect 2 types of fall positions i.e foward and backward and squat. From the test result of this study, the average value of three axis from the steady state condition of falling foward is 0,123g, -0,473g, -0,888g, backward is -0,084g, 0,495g, 0,628g, and squat is 0,739g, -0,262g, -0,493g. As for the magnitude of falling forward is 2,916g, backward is 2,580g, and squat is 0,344g.

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References

Turana, Y. Stimulasi Otak pada Kelompok Lansia di Komunitas. Gambaran Kesehatan Lanjut Usia di Indonesia. (2013, July); p. 19.

WHO. WHO Global Report on Falls Prevention in Older Age. Geneva: WHO. (2007).

Rahman, A. Implementasi Sensor Percepatan Dan Gyroscope Untuk Menentukan Trajectory Roket Komurindo Menggunakan Inertial Navigation System (INS) Berbasis Mikrokontroler. JBPTUNIKOMPP. (2013).

Ojetola, O., Gaura, E., & Brusey, J. (2011). Fall Detection with Wearable Sensors—SAFE (SmArt Fall dEtection). IEEE.

Jefiza, A., Pramunanto, E., Boedinoegroho, H., & Purnomo, M. H. (2017). Fall Detection Based on Accelerometer and Gyroscope using Back Propagation. IEEE.

Arduino. Arduino Nano. Retrieved January 18, 2018, from Arduino: https://store.arduino.cc/usa/arduino-nano

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Published

2020-12-29

Issue

Section

ELECTRONICS