Auditory Source Localization by Time Frequency Analysis and Classification of Electroencephalogram Signals

Vidya Manian; Cesar A. Aceros-Moreno; Domingo Rodriguez; Juan Valera

Auditory Source Localization by Time Frequency Analysis and Classification of Electroencephalogram Signals

Vidya Manian * §

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Cesar A. Aceros-Moreno

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Domingo Rodriguez

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Juan Valera

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University of Puerto Rico at Mayaguez

Auditory Source Localization by Time Frequency Analysis and Classification of Electroencephalogram Signals

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Abstract

The temporal lobe or auditory cortex in the brain is involved in processing auditory stimuli. The auditory data processing capability in the brain changes as a person ages. In this paper, we use the hrtf method to produce sound in different directions as auditory stimulus. Experiments are conducted with auditory stimulation of human subjects. Electroencephalogram (EEG) recording from the subjects are made during the exposure to the sound. A set of time frequency analysis operators consisting of the cyclic short time Fourier transform and the continuous wavelet transform is applied to the pre-processed EEG signal and a classifier is trained with time-frequency power from training data. The support vector machine classifier is then used for source localization of the sound. The paper also presents results with respect to neuronal regions involved in processing multi source sound information.

References

15 Cites in Article

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Funding

No external funding was declared for this work.

Conflict of Interest

The authors declare no conflict of interest.

Ethical Approval

No ethics committee approval was required for this article type.

Data Availability

Not applicable for this article.

How to Cite This Article

Vidya Manian, Cesar A. Aceros-Moreno, Domingo Rodriguez, Juan Valera. 2019. "Auditory Source Localization by Time Frequency Analysis and Classification of Electroencephalogram Signals". Global Journal of Computer Science and Technology - G: Interdisciplinary GJCST-G Volume 19 (GJCST Volume 19 Issue G3).

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GJCST Volume 19 Issue G3

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Journal Specifications

Crossref Journal DOI 10.17406/gjcst

Print ISSN 0975-4350

e-ISSN 0975-4172

Keywords

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Classification

GJCST-G Classification C.3

Submission ReceivedDecember 15, 2018
Peer Review Double Blind
Handling Editor
Accepted December 31, 2018
Published January 15, 2019

Version of record

v1.2

Issue date

August 7, 2019

Language

English

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Article Matrices

Total Score: 174

Country: United States

Subject: Global Journal of Computer Science and Technology

Authors: Vidya Manian, Cesar A. Aceros-Moreno, Domingo Rodriguez, Juan Valera (PhD/Dr. count: 0)

View Count (all-time): 419

Total Views (Real + Logic): 2310

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Publish Date: 2019 01, Tue

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