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Simple Fall Criteria for MEMS Sensors: Data Analysis and Sensor Concept

[+] Author Affiliations
Alwathiqbellah I. Ibrahim

State University of New York, Binghamton, NY

Mohammad I. Younis

State University of New York, Binghamton, NYKing Abdullah University of Science and Technology (KAUST), Thuwal, Saudi Arabia

Paper No. DETC2014-34920, pp. V006T10A006; 10 pages
doi:10.1115/DETC2014-34920
From:
  • ASME 2014 International Design Engineering Technical Conferences and Computers and Information in Engineering Conference
  • Volume 6: 10th International Conference on Multibody Systems, Nonlinear Dynamics, and Control
  • Buffalo, New York, USA, August 17–20, 2014
  • Conference Sponsors: Design Engineering Division, Computers and Information in Engineering Division
  • ISBN: 978-0-7918-4639-1
  • Copyright © 2014 by ASME

abstract

This paper presents a new and simple fall detection concept based on detailed experimental data of human falling and Activities of Daily Living (ADL). Establishing appropriate fall algorithms compatible with MEMS sensors requires detailed data on falls and ADL 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 ADL. 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.

Copyright © 2014 by ASME

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