Use of sonification in the detection of anomalous events

Mark Ballora, Robert J. Cole, Heidi Kruesi, Herbert Greene, Ganesh Mohanan, David L. Hall

Research output: Chapter in Book/Report/Conference proceedingConference contribution

7 Scopus citations

Abstract

In this paper, we describe the construction of a soundtrack that fuses stock market data with information taken from tweets. This soundtrack, or auditory display, presents the numerical and text data in such a way that anomalous events may be readily detected, even by untrained listeners. The soundtrack generation is flexible, allowing an individual listener to create a unique audio mix from the available information sources. Properly constructed, the display exploits the auditory system's sensitivities to periodicities, to dynamic changes, and to patterns. This type of display could be valuable in environments that demand high levels of situational awareness based on multiple sources of incoming information.

Original languageEnglish (US)
Title of host publicationMultisensor, Multisource Information Fusion
Subtitle of host publicationArchitectures, Algorithms, and Applications 2012
DOIs
StatePublished - Dec 3 2012
EventMultisensor, Multisource Information Fusion: Architectures, Algorithms, and Applications 2012 - Baltimore, MD, United States
Duration: Apr 25 2012Apr 26 2012

Publication series

NameProceedings of SPIE - The International Society for Optical Engineering
Volume8407
ISSN (Print)0277-786X

Other

OtherMultisensor, Multisource Information Fusion: Architectures, Algorithms, and Applications 2012
CountryUnited States
CityBaltimore, MD
Period4/25/124/26/12

All Science Journal Classification (ASJC) codes

  • Electronic, Optical and Magnetic Materials
  • Condensed Matter Physics
  • Computer Science Applications
  • Applied Mathematics
  • Electrical and Electronic Engineering

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  • Cite this

    Ballora, M., Cole, R. J., Kruesi, H., Greene, H., Mohanan, G., & Hall, D. L. (2012). Use of sonification in the detection of anomalous events. In Multisensor, Multisource Information Fusion: Architectures, Algorithms, and Applications 2012 [84070S] (Proceedings of SPIE - The International Society for Optical Engineering; Vol. 8407). https://doi.org/10.1117/12.918688