Challenges and Issues in Multisensor Fusion Approach for Fall Detection: Review Paper

Author:

Koshmak Gregory1,Loutfi Amy2ORCID,Linden Maria1

Affiliation:

1. School of Innovation, Design and Engineering, Mälardalen University, Högskoleplan 1, 721 23 Västerås, Sweden

2. Center for Applied Autonomous Sensor Systems (AASS), Örebro University, Fakultetsgatan 1, 701 82 Örebro, Sweden

Abstract

Emergency situations associated with falls are a serious concern for an aging society. Yet following the recent development within ICT, a significant number of solutions have been proposed to track body movement and detect falls using various sensor technologies, thereby facilitating fall detection and in some cases prevention. A number of recent reviews on fall detection methods using ICT technologies have emerged in the literature and an increasingly popular approach considers combining information from several sensor sources to assess falls. The aim of this paper is to review in detail the subfield of fall detection techniques that explicitly considers the use of multisensor fusion based methods to assess and determine falls. The paper highlights key differences between the single sensor-based approach and a multifusion one. The paper also describes and categorizes the various systems used, provides information on the challenges of a multifusion approach, and finally discusses trends for future work.

Publisher

Hindawi Limited

Subject

Electrical and Electronic Engineering,Instrumentation,Control and Systems Engineering

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