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Challenges and Issues in Multisensor Fusion Approach for Fall Detection: Review Paper
Joint Authors
Koshmak, Gregory
Linden, Maria
Loutfi, Amy
Source
Issue
Vol. 2016, Issue 2016 (31 Dec. 2016), pp.1-12, 12 p.
Publisher
Hindawi Publishing Corporation
Publication Date
2015-12-06
Country of Publication
Egypt
No. of Pages
12
Main Subjects
Abstract EN
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.
American Psychological Association (APA)
Koshmak, Gregory& Loutfi, Amy& Linden, Maria. 2015. Challenges and Issues in Multisensor Fusion Approach for Fall Detection: Review Paper. Journal of Sensors،Vol. 2016, no. 2016, pp.1-12.
https://search.emarefa.net/detail/BIM-1110571
Modern Language Association (MLA)
Koshmak, Gregory…[et al.]. Challenges and Issues in Multisensor Fusion Approach for Fall Detection: Review Paper. Journal of Sensors No. 2016 (2016), pp.1-12.
https://search.emarefa.net/detail/BIM-1110571
American Medical Association (AMA)
Koshmak, Gregory& Loutfi, Amy& Linden, Maria. Challenges and Issues in Multisensor Fusion Approach for Fall Detection: Review Paper. Journal of Sensors. 2015. Vol. 2016, no. 2016, pp.1-12.
https://search.emarefa.net/detail/BIM-1110571
Data Type
Journal Articles
Language
English
Notes
Includes bibliographical references
Record ID
BIM-1110571