fNIR data classification using wavelet transforms and neural networks for attention monitoring

Alireza Akhbardeh; Meltem Izzetoglu; Scott Bunce; Kambiz Pourrezaei; Banu Onaral

fNIR data classification using wavelet transforms and neural networks for attention monitoring

Alireza Akhbardeh, Meltem Izzetoglu, Scott Bunce, Kambiz Pourrezaei, Banu Onaral

Research output: Chapter in Book/Report/Conference proceeding › Conference contribution

Abstract

This study investigates the potential of wavelet domain features on the classification of fNIR data for automated attention monitoring. Performance of two different neural classifiers is tested using wavelet based features and it is shown that fast and accurate classification of targets and non-targets can be reached.

Original language	English (US)
Title of host publication	Biomedical Optics, BIOMED 2008
State	Published - 2008
Event	Biomedical Optics, BIOMED 2008 - St. Petersburg, FL, United States Duration: Mar 16 2008 → Mar 19 2008

Other

Other	Biomedical Optics, BIOMED 2008
Country/Territory	United States
City	St. Petersburg, FL
Period	3/16/08 → 3/19/08

All Science Journal Classification (ASJC) codes

Biomedical Engineering
Biomaterials
Electronic, Optical and Magnetic Materials
Atomic and Molecular Physics, and Optics

Cite this

@inproceedings{90c5ee4d7c7b4c439c8a26243e44155a,

title = "fNIR data classification using wavelet transforms and neural networks for attention monitoring",

abstract = "This study investigates the potential of wavelet domain features on the classification of fNIR data for automated attention monitoring. Performance of two different neural classifiers is tested using wavelet based features and it is shown that fast and accurate classification of targets and non-targets can be reached.",

author = "Alireza Akhbardeh and Meltem Izzetoglu and Scott Bunce and Kambiz Pourrezaei and Banu Onaral",

year = "2008",

language = "English (US)",

booktitle = "Biomedical Optics, BIOMED 2008",

note = "Biomedical Optics, BIOMED 2008 ; Conference date: 16-03-2008 Through 19-03-2008",

}

TY - GEN

T1 - fNIR data classification using wavelet transforms and neural networks for attention monitoring

AU - Akhbardeh, Alireza

AU - Izzetoglu, Meltem

AU - Bunce, Scott

AU - Pourrezaei, Kambiz

AU - Onaral, Banu

PY - 2008

Y1 - 2008

N2 - This study investigates the potential of wavelet domain features on the classification of fNIR data for automated attention monitoring. Performance of two different neural classifiers is tested using wavelet based features and it is shown that fast and accurate classification of targets and non-targets can be reached.

AB - This study investigates the potential of wavelet domain features on the classification of fNIR data for automated attention monitoring. Performance of two different neural classifiers is tested using wavelet based features and it is shown that fast and accurate classification of targets and non-targets can be reached.

UR - http://www.scopus.com/inward/record.url?scp=84884293945&partnerID=8YFLogxK

UR - http://www.scopus.com/inward/citedby.url?scp=84884293945&partnerID=8YFLogxK

M3 - Conference contribution

AN - SCOPUS:84884293945

BT - Biomedical Optics, BIOMED 2008

T2 - Biomedical Optics, BIOMED 2008

Y2 - 16 March 2008 through 19 March 2008

ER -

fNIR data classification using wavelet transforms and neural networks for attention monitoring

Abstract

Other

All Science Journal Classification (ASJC) codes

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