Next Article in Journal
A Catalytic Sensor for Measurement of Radical Density in CO2 Plasmas
Previous Article in Journal
A Wireless Sensor Enabled by Wireless Power
Article Menu

Export Article

Open AccessArticle
Sensors 2012, 12(12), 16144-16167; https://doi.org/10.3390/s121216144

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 / Revised: 9 November 2012 / Accepted: 9 November 2012 / Published: 22 November 2012
(This article belongs to the Section Physical Sensors)
View Full-Text   |   Download PDF [6337 KB, uploaded 21 June 2014]

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. View Full-Text
Keywords: wireless profiling sensor; neural network; object classification; sparse detector array wireless profiling sensor; neural network; object classification; sparse detector array
This is an open access article distributed under the Creative Commons Attribution License (CC BY 3.0).

Share & Cite This Article

MDPI and ACS Style

Galvis, A.; Russomanno, D.J. Advancing Profiling Sensors with a Wireless Approach. Sensors 2012, 12, 16144-16167.

Show more citation formats Show less citations formats

Related Articles

Article Metrics

Article Access Statistics

1

Comments

[Return to top]
Sensors EISSN 1424-8220 Published by MDPI AG, Basel, Switzerland RSS E-Mail Table of Contents Alert
Back to Top