Evaluation of Three-Axial Wireless-based Accelerometer for Fall Detection Analysis

Authors

  • Farhanahani Mahmud
  • Nurul Suhadah Sirat

Keywords:

Shimmer three-axial accelerometer, falling detection, Activities of Daily Life (ADL)

Abstract

Injuries from falling can be a serious problem for the elderly people and nowadays, a variety of research has been done on the topic of fall detection. Health professionals often refer to a person’s ability to perform Activities of Daily Life (ADL) as a measurement of their functional status. In this research, a wearable wireless-based three-axial accelerometer sensor from Shimmer has been evaluated using a falling detection algorithm from Lindemann et al. and expanded by Chia-Chi Wang et al. which is according to two parameters of sum-vector of all axes (Sa) and sum-vector of horizontal plane (Sh). These parameters are used to determine significant points of time in the falling process, and identify lying condition. For this purpose, a walking activity has been used to analyse between the fall and the ADL. According to the analysis of falls and walks through the ADL of walking activity on ten and three healthy subjects, respectively, the method is 100 percent capable to classify between the fall and the walk.

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Author Biographies

Farhanahani Mahmud

Faculty of Electrical and Electronic,

Universiti Tun Hussein Onn Malaysia (UTHM), 86400 Batu Pahat, Johor, MALAYSIA

Nurul Suhadah Sirat

Cardiology and Physiome Analysis Research Laboratory, Microelectronics and Nanotechnology Shamsuddin Research Centre (MiNT-SRC),

Universiti Tun Hussein Onn Malaysia (UTHM), 86400 Batu Pahat, Johor, MALAYSIA

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Published

09-10-2015

How to Cite

Mahmud, F., & Sirat, N. S. (2015). Evaluation of Three-Axial Wireless-based Accelerometer for Fall Detection Analysis. International Journal of Integrated Engineering, 7(3). Retrieved from https://publisher.uthm.edu.my/ojs/index.php/ijie/article/view/1223

Issue

Section

Issue on Electrical and Electronic Engineering