Asynchronous data-driven classification of weapon systems

Xin Jin, Kushal Mukherjee, Shalabh Gupta, Asok Ray, Shashi Phoha, Thyagaraju Damarla

Research output: Contribution to journalArticlepeer-review

6 Scopus citations


This communication addresses real-time weapon classification by analysis of asynchronous acoustic data, collected from microphones on a sensor network. The weapon classification algorithm consists of two parts: (i) feature extraction from time-series data using symbolic dynamic filtering (SDF), and (ii) pattern classification based on the extracted features using the language measure (LM) and support vector machine (SVM). The proposed algorithm has been tested on field data, generated by firing of two types of rifles. The results of analysis demonstrate high accuracy and fast execution of the pattern classification algorithm with low memory requirements. Potential applications include simultaneous shooter localization and weapon classification with soldier-wearable networked sensors.

Original languageEnglish (US)
Article number123001
JournalMeasurement Science and Technology
Issue number12
StatePublished - 2009

All Science Journal Classification (ASJC) codes

  • Instrumentation
  • Engineering (miscellaneous)
  • Applied Mathematics


Dive into the research topics of 'Asynchronous data-driven classification of weapon systems'. Together they form a unique fingerprint.

Cite this