Simple fall criteria for MEMS sensors: Data analysis and sensor concept

Handle URI:
http://hdl.handle.net/10754/334567
Title:
Simple fall criteria for MEMS sensors: Data analysis and sensor concept
Authors:
Ibrahim, Alwathiqbellah; Younis, Mohammad I. ( 0000-0002-9491-1838 )
Abstract:
This paper presents a new and simple fall detection concept based on detailed experimental data of human falling and the activities of daily living (ADLs). Establishing appropriate fall algorithms compatible with MEMS sensors requires detailed data on falls and ADLs that indicate clearly the variations of the kinematics at the possible sensor node location on the human body, such as hip, head, and chest. Currently, there is a lack of data on the exact direction and magnitude of each acceleration component associated with these node locations. This is crucial for MEMS structures, which have inertia elements very close to the substrate and are capacitively biased, and hence, are very sensitive to the direction of motion whether it is toward or away from the substrate. This work presents detailed data of the acceleration components on various locations on the human body during various kinds of falls and ADLs. A two-degree-of-freedom model is used to help interpret the experimental data. An algorithm for fall detection based on MEMS switches is then established. A new sensing concept based on the algorithm is proposed. The concept is based on employing several inertia sensors, which are triggered simultaneously, as electrical switches connected in series, upon receiving a true fall signal. In the case of everyday life activities, some or no switches will be triggered resulting in an open circuit configuration, thereby preventing false positive. Lumped-parameter model is presented for the device and preliminary simulation results are presented illustrating the new device concept. © 2014 by the authors; licensee MDPI, Basel, Switzerland.
KAUST Department:
Mechanical Engineering Program
Citation:
Ibrahim A, Younis M (2014) Simple Fall Criteria for MEMS Sensors: Data Analysis and Sensor Concept. Sensors 14: 12149-12173. doi:10.3390/s140712149.
Publisher:
MDPI
Journal:
Sensors (Switzerland)
Issue Date:
8-Jul-2014
DOI:
10.3390/s140712149
PubMed ID:
25006997
PubMed Central ID:
PMC4168415
Type:
Article
ISSN:
14248220
Appears in Collections:
Articles; Mechanical Engineering Program

Full metadata record

DC FieldValue Language
dc.contributor.authorIbrahim, Alwathiqbellahen
dc.contributor.authorYounis, Mohammad I.en
dc.date.accessioned2014-11-11T14:29:55Z-
dc.date.available2014-11-11T14:29:55Z-
dc.date.issued2014-07-08en
dc.identifier.citationIbrahim A, Younis M (2014) Simple Fall Criteria for MEMS Sensors: Data Analysis and Sensor Concept. Sensors 14: 12149-12173. doi:10.3390/s140712149.en
dc.identifier.issn14248220en
dc.identifier.pmid25006997en
dc.identifier.doi10.3390/s140712149en
dc.identifier.urihttp://hdl.handle.net/10754/334567en
dc.description.abstractThis paper presents a new and simple fall detection concept based on detailed experimental data of human falling and the activities of daily living (ADLs). Establishing appropriate fall algorithms compatible with MEMS sensors requires detailed data on falls and ADLs that indicate clearly the variations of the kinematics at the possible sensor node location on the human body, such as hip, head, and chest. Currently, there is a lack of data on the exact direction and magnitude of each acceleration component associated with these node locations. This is crucial for MEMS structures, which have inertia elements very close to the substrate and are capacitively biased, and hence, are very sensitive to the direction of motion whether it is toward or away from the substrate. This work presents detailed data of the acceleration components on various locations on the human body during various kinds of falls and ADLs. A two-degree-of-freedom model is used to help interpret the experimental data. An algorithm for fall detection based on MEMS switches is then established. A new sensing concept based on the algorithm is proposed. The concept is based on employing several inertia sensors, which are triggered simultaneously, as electrical switches connected in series, upon receiving a true fall signal. In the case of everyday life activities, some or no switches will be triggered resulting in an open circuit configuration, thereby preventing false positive. Lumped-parameter model is presented for the device and preliminary simulation results are presented illustrating the new device concept. © 2014 by the authors; licensee MDPI, Basel, Switzerland.en
dc.language.isoenen
dc.publisherMDPIen
dc.rightsThis article is an open access article distributed under the terms and conditions of the Creative Commons Attribution license (http://creativecommons.org/licenses/by/3.0/).en
dc.titleSimple fall criteria for MEMS sensors: Data analysis and sensor concepten
dc.typeArticleen
dc.contributor.departmentMechanical Engineering Programen
dc.identifier.journalSensors (Switzerland)en
dc.identifier.pmcidPMC4168415en
dc.eprint.versionPublisher's Version/PDFen
dc.contributor.institutionDepartment of Mechanical Engineering, State University of New York at Binghamton, Binghamton, NY 13902, United Statesen
dc.contributor.affiliationKing Abdullah University of Science and Technology (KAUST)en
kaust.authorYounis, Mohammad I.en

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