A Review on Wearable Tri-Axial Accelerometer Based Fall Detectors

Sharwari Kulkarni^1, and Mainak Basu¹

¹MTech, Biomedical Engineering, VIT University, Vellore, India

Cite this paper:
Sharwari Kulkarni and Mainak Basu. A Review on Wearable Tri-Axial Accelerometer Based Fall Detectors. Journal of Biomedical Engineering and Technology. 2013; 1(3):36-39. doi: 10.12691/jbet-1-3-2

Abstract

Falling is the crucial concern in elder adults which can result into serious injury or rupture of bones especially hip bone injury or other joint fractures. Hence fall detection is necessary to minimize risk of injury. Accelerometer is the most widely used device to detect falls as it provides information about the sudden downward tilt. Tri-axial accelerometer provides measure of acceleration in three dimensions. Paper describes the review on fall detectors in which tri-axial accelerometer is used as the main component along with different sensors and systems.

Keywords:
fall detectors acceleration tri-axial accelerometer downward tilt

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References:

[1]	Andrea O’Brien, Rónán Mac Ruairí “Survey of Assistive Technology Devices and Applications for Aging in Place” IEEE Computer Society, 2009 Second International Conference on Advances in Human-Oriented and Personalized Mechanisms, Technologies, and Services.
[2]	Muhammad Mubashir, LingShao, LukeSeed “A survey on fall detection: Principles and approaches” Elsevier journal of neurocomputing 100 (2013) 144-152.
[3]	Laurence Z. Rubenstein, Karen R. Josephson, “Falls and Their Prevention in Elderly People: What Does the Evidence Show?” Elsevier saunders journal of the medical clinics of north America Med Clin N Am 90 (2006) 807-824.
[4]	JiewenZheng, Guang Zhang, Taihu Wu, “Design of automatic fall detector for elderly based on triaxial accelerometer” by “863 supported projects”.
[5]	Shaoming Shan, Tao Yuan, “A Wearable Pre-impact Fall Detector using Feature Selection and Support Vector Machine” IEEE ICSP2010 proceedings.
[6]	Toshiyo Tamura, “Wearable accelerometer in clinical use” proceedings of the 2005 IEEE EMBS 27th annual conference.
[7]	Diansheng Chen, Wei Feng, Yu Zhang, Xiyu Li, Tianmiao Wang, “A Wearable Wireless Fall Detection System with Accelerators” Proceedings of the 2011 IEEE International Conference on Robotics and Biomimetics December 7-11, 2011.
[8]	Mehdi Neggazi, Abbes Amira, LatifaHamami, “A Wireless Reconfigurable System for Falls Detection” IEEE 2012, 11th International Conference on Information Sciences, Signal Processing and their Applications.
[9]	Soundararajan Srinivasan, Jun Han, DhananjayLal, AcaGacic, “Towards automatic detection of falls using wireless sensors” IEEE 2007, IEEE EMBS, Proceedings of the annual conference of IEEE EMBS, France.
[10]	Ge Wu, ShuwanXue, “Portable preimpact fall detector with inertial sensors” IEEE trans. on neural systems and rehabilitation engineering, vol. 16, no. 2, april 2008.
[11]	ThomosDegen, Heinz Jaeckel, Michel Rufer, Stefan Wyss, “SPEEDY: A Fall Detector in a Wrist Watch” IEEE Computer Society, 2003 proceedings of the 7th IEEE International Symposium on Wearable Computers (ISWC’03).
[12]	Qiang Li, John A. Stankovic, Mark Hanson, Adam Barth, John Lach, Gang Zhou, “Accurate, Fast Fall Detection Using Gyroscopes and Accelerometer-Derived Posture Information” IEEE.
[13]	Yi-Lung Tsai, Ting-Ting Tu, HyeounghoBae, Pai H. Chou, “EcoIMU: A Dual Triaxial-Accelerometer Inertial Measurement Unit for Wearable Applications”.
[14]	AdilMehmood Khan, “Human Activity Recognition Using a Single Tri-axial Accelerometer”, Thesis for the Degree of Doctor of Philosophy in Kyung Hee University Seoul, Korea.
[15]	Jay Chen, KarricKwong, Dennis Chang, Jerry Luk, RuzenaBajcsy, “Wearable Sensors for Reliable Fall Detection” IEEE Proceedings of 2005 EMBS conference.