Sonification, the representation of data in an auditory format, has already found use in Electrocardiograms and Geiger Counters, which suggests potential applications in realms dominated by visually-based analysis methods. This project developed and studied three approaches to the sonification of time series data, using the Additive Classical Decomposition of time series as the starting point, with its own statistical analysis-and-mapping and sonification programs. Results of investigations by controlled experiment using human subjects suggest the sonification methods are effective.

• This report represents the work of one or more WPI undergraduate students submitted to the faculty as evidence of completion of a degree requirement. WPI routinely publishes these reports on its website without editorial or peer review.

Creator

• Barber, Gary Paul
• Kulasekaran, Nedunceliyan

Publisher

• Worcester Polytechnic Institute

Identifier

• 03D049M

Advisor

• Ciaraldi, Michael J.
• Petruccelli, Joseph D.

Year

• 2003

Date created

• 2003-01-01

Resource type

• Major Qualifying Project

Major

• Computer Science

Rights statement

• In Copyright