Acoustic classification and tracking of multiple targets using wireless sensor networks

Abstract

This paper presents an acoustic classification and multi-sensor tracking algorithm with WSNs for multiple targets. The goal for this study is to classify the targets and identify the traces of moving multiple targets with their acoustic characteristics and received signal strength indicator. The paper describes a distinctive method to select features from the raw acoustic signal which contains both time and frequency domain information. For trace identification, the method for labeling unidentified traces with appropriate target is introduced. By using the suggested algorithm, the classifier shows more accurate and faster responding performance than the classifiers which use only frequency domain input. Experimental results show the satisfactory performance of the proposed algorithm.