title: Advancing profiling sensors with a wireless approach.
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.
authors: Department of Electrical and Computer Engineering, Purdue School of Engineering and Technology, Indiana University-Purdue University Indianapolis, Indianapolis, IN 46202, USA. agalvis@iupui.edu
authors: Alex
authors: A
authors: Galvis
authors: David J
authors: DJ
authors: Russomanno
mesh_terms: D000818:Animals; D006801:Humans; D016571:Neural Networks, Computer; D019265:Spectroscopy, Near-Infrared; D013686:Telemetry; D059015:Wireless Technology