Next Article in Journal
A Smart High Accuracy Silicon Piezoresistive Pressure Sensor Temperature Compensation System
Next Article in Special Issue
Theoretical Prediction of Experimental Jump and Pull-In Dynamics in a MEMS Sensor
Previous Article in Journal
In Vitro Evaluation of Fluorescence Glucose Biosensor Response
Previous Article in Special Issue
Design, Fabrication and Failure Analysis of Stretchable Electrical Routings
Open AccessArticle

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

Department of Mechanical Engineering, State University of New York at Binghamton, Binghamton, NY 13902, USA
Department of Mechanical Engineering, King Abdullah University of Science and Technology (KAUST), Thuwal 23955-6900, Saudi Arabia
Author to whom correspondence should be addressed.
Sensors 2014, 14(7), 12149-12173;
Received: 9 January 2014 / Revised: 28 May 2014 / Accepted: 4 June 2014 / Published: 8 July 2014
(This article belongs to the Special Issue Modeling, Testing and Reliability Issues in MEMS Engineering 2013)
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. View Full-Text
Keywords: fall detection; MEMS switches; sensing algorithm fall detection; MEMS switches; sensing algorithm
Show Figures

MDPI and ACS Style

Ibrahim, A.; Younis, M.I. Simple Fall Criteria for MEMS Sensors: Data Analysis and Sensor Concept. Sensors 2014, 14, 12149-12173.

AMA Style

Ibrahim A, Younis MI. Simple Fall Criteria for MEMS Sensors: Data Analysis and Sensor Concept. Sensors. 2014; 14(7):12149-12173.

Chicago/Turabian Style

Ibrahim, Alwathiqbellah; Younis, Mohammad I. 2014. "Simple Fall Criteria for MEMS Sensors: Data Analysis and Sensor Concept" Sensors 14, no. 7: 12149-12173.

Find Other Styles

Article Access Map by Country/Region

Only visits after 24 November 2015 are recorded.
Search more from Scilit
Back to TopTop