Blair A. Rowley (Committee Member), Gordana Gataric (Committee Member), Yong Pei (Committee Member), Jack S. N. Jean (Committee Chair)
Master of Science in Computer Engineering (MSCE)
With the mortality rate of the elderly on the rise due to fall related incidents, fall detection has become an important entity in the geriatric health care sector. The study conducted in this thesis involved the design and development of a Wireless Data Acquisition System (WDAS) with Bluetooth capabilities interfaced to pulse width modulated gyroscopic sensors. Each sensor used has a reference output pulse width which changes when rotated about its sensitive axis.Part of the effort involves the design and development of two versions of printed circuit boards for the application. Each board includes a Parallax Propeller micro- controller in a TQFP (thin quad at pack) package, power regulator circuitry, and voltage shifting circuitry. The first version can interface with a single sensor and the second one has a three sensor interfacing capability. The software development effort includes designing the firmware for the microcontroller and developing a graphical user interface on Matlab to display and save sensor data sent through Bluetooth. The working of the system was tested with human subjects. The sensor outputs were obtained for induced falls in the coronal and the sagittal planes. Observations based on the subject testing data are summarized.
Department or Program
Department of Computer Science and Engineering
Year Degree Awarded
Copyright 2010, all rights reserved. This open access ETD is published by Wright State University and OhioLINK.