An Analysis on the Feasibility of a Low-cost Fall Detection System: Feasibility study on threshold-based fall detection system that is realized using ADXL 345 tri-Axial accelerometer which is considered as a low-cost sensor

Samuel Caryabudi, Atar Fuady Babgei, Achmad Arifin

Research output: Chapter in Book/Report/Conference proceedingConference contributionpeer-review

Abstract

There are various fall detection algorithms that have been developed as the solution to the increase on the risk of fall on elderly. A fall detection system which is low-cost is certainly favored, but that pose another question on whether the system is accurate enough by using low-cost components. This paper will discuss the analysis on the feasibility of a threshold-based fall detection system that was realized with ADXL 345 sensor, which is considered as a low-cost accelerometer sensor. A simulated fall study and simulated Activities of Daily Living (ADL) study was conducted so that the accuracy of the realized system can be known. The result of this experimental study shows that the realized system has a satisfactory accuracy comparable to other systems which use more advanced sensor(s), but further study which involves elderly as subjects is needed to give a more accurate insight about the accuracy of the system.

Original languageEnglish
Title of host publication2020 4th International Conference on Computational Biology and Bioinformatics, ICCBB 2020
PublisherAssociation for Computing Machinery
Pages63-68
Number of pages6
ISBN (Electronic)9781450388443
DOIs
Publication statusPublished - 27 Dec 2020
Event4th International Conference on Computational Biology and Bioinformatics, ICCBB 2020 - Bali, Indonesia
Duration: 27 Dec 202029 Dec 2020

Publication series

NameACM International Conference Proceeding Series

Conference

Conference4th International Conference on Computational Biology and Bioinformatics, ICCBB 2020
Country/TerritoryIndonesia
CityBali
Period27/12/2029/12/20

Keywords

  • Fall detection
  • Low-cost
  • Sensor

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