Muhd. Amir, Nur Izdihar and Dziyauddin, Rudzidatul Akmam and Mohamed, Norliza and A. Latiff, Liza and Ismail, Nor Syahidatul Nadiah (2021) Development of fall detection device using accelerometer sensor. In: 7th IEEE International Conference on Smart Instrumentation, Measurement and Applications, ICSIMA 2021, 23 August 2021 - 25 August 2021, Virtual, Bandung.
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Official URL: http://dx.doi.org/10.1109/ICSIMA50015.2021.9526289
Abstract
This paper presents the development of Fall Detection System in the form of a wearable device integrating an ADXL335 accelerometer as a fall detection sensor. The system means to detect fall occurrence of the wearer and able to distinguish the activity of daily livings and fall events. In this study, the fall detection system consists of two-part, the transmitter and receiver. Transmitter will be attached to the user's garment, then the Arduino microcontroller will process the acceleration reading from the sensor and transmit the data via wireless Zigbee networks to the receiver. The receiver which is connected to a computer will display the acceleration graph reading through the monitor. The working hardware of wearable fall detection system in this work is validated through a comparison of data acquisition with previous research, SisFall. The results obtained in this work correspond well to SisFall thus indicate the sensor reliability satisfied the benchmark.
Item Type: | Conference or Workshop Item (Paper) |
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Uncontrolled Keywords: | ADXL 335, fall dataset, fall detection system, wearable device |
Subjects: | Q Science > QA Mathematics > QA75 Electronic computers. Computer science T Technology > T Technology (General) > T58.5-58.64 Information technology |
Divisions: | Razak School of Engineering and Advanced Technology |
ID Code: | 96102 |
Deposited By: | Yanti Mohd Shah |
Deposited On: | 03 Jul 2022 08:16 |
Last Modified: | 03 Jul 2022 08:16 |
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