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Advancing Profiling Sensors with a Wireless Approach
Department of Electrical and Computer Engineering, Purdue School of Engineering and Technology, Indiana University-Purdue University Indianapolis, Indianapolis, IN 46202, USA
* Author to whom correspondence should be addressed.
Received: 23 October 2012; in revised form: 9 November 2012 / Accepted: 9 November 2012 / Published: 22 November 2012
Abstract: The notion of a profiling sensor was first realized by a Near-Infrared (N-IR) retro-reflective prototype consisting of a vertical column of wired sparse detectors. This paper extends that prior work and presents a wireless version of a profiling sensor as a collection of sensor nodes. The sensor incorporates wireless sensing elements, a distributed data collection and aggregation scheme, and an enhanced classification technique. In this novel approach, a base station pre-processes the data collected from the sensor nodes and performs data re-alignment. A back-propagation neural network was also developed for the wireless version of the N-IR profiling sensor that classifies objects into the broad categories of human, animal or vehicle with an accuracy of approximately 94%. These enhancements improve deployment options as compared with the first generation of wired profiling sensors, possibly increasing the application scenarios for such sensors, including intelligent fence applications.
Keywords: wireless profiling sensor; neural network; object classification; sparse detector array
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Galvis, A.; Russomanno, D.J. Advancing Profiling Sensors with a Wireless Approach. Sensors 2012, 12, 16144-16167.
Galvis A, Russomanno DJ. Advancing Profiling Sensors with a Wireless Approach. Sensors. 2012; 12(12):16144-16167.
Galvis, Alex; Russomanno, David J. 2012. "Advancing Profiling Sensors with a Wireless Approach." Sensors 12, no. 12: 16144-16167.