Title:
A DATA SONIFICATION APPROACH TO COGNITIVE STATE IDENTIFICATION
A DATA SONIFICATION APPROACH TO COGNITIVE STATE IDENTIFICATION
Authors
Gomez, Imanol
Ramirez, Rafael
Ramirez, Rafael
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Abstract
The study of human brain functions has dramatically increased
greatly due to the advent of Functional Magnetic Resonance Imaging
(fMRI), arguably the best technique for observing human brain
activity that is currently available. However, fMRI techniques produce
extremely high dimensional, sparse and noisy data which is
difficult to visualize, monitor and analyze. In this paper, we propose
two different sonification approaches to monitor fMRI data.
The goal of the resulting fMRI data sonification system is to allow
the auditory identification of cognitive states produced by different
stimuli. The system consists of a feature selection component
and a sonification engine. We explore different feature selection
methods and sonification strategies. As a case study, we apply our
system to the identification of cognitive states produced by volume
accented and duration accented rhythmic stimuli.
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2011-06
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