Real-time assessment of mental workload with near-infrared spectroscopy: Potential for human-computer interaction

Sergio Fantini; Angelo Sassaroli; Yunjie Tong; Leanne M. Hirshfield; Audrey Girouard; Erin Treacy Solovey; Robert J.K. Jacob

doi:10.1364/biomed.2008.bmd14

Real-time assessment of mental workload with near-infrared spectroscopy: Potential for human-computer interaction

Sergio Fantini, Angelo Sassaroli, Yunjie Tong, Leanne M. Hirshfield, Audrey Girouard, Erin Treacy Solovey, Robert J.K. Jacob

Research output: Contribution to conference › Paper › peer-review

2 Scopus citations

Abstract

We have used machine learning techniques to analyze functional near-infrared spectroscopy (fNIRS) data from the brain of human subjects to classify different levels of mental workload. Preliminary results show potential for fNIRS in human-computer interaction research.

Original language	English (US)
Pages	BMD14
DOIs	https://doi.org/10.1364/biomed.2008.bmd14
State	Published - 2008
Externally published	Yes
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

ASJC Scopus subject areas

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

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10.1364/biomed.2008.bmd14

Cite this

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title = "Real-time assessment of mental workload with near-infrared spectroscopy: Potential for human-computer interaction",

abstract = "We have used machine learning techniques to analyze functional near-infrared spectroscopy (fNIRS) data from the brain of human subjects to classify different levels of mental workload. Preliminary results show potential for fNIRS in human-computer interaction research.",

author = "Sergio Fantini and Angelo Sassaroli and Yunjie Tong and Hirshfield, {Leanne M.} and Audrey Girouard and Solovey, {Erin Treacy} and Jacob, {Robert J.K.}",

year = "2008",

doi = "10.1364/biomed.2008.bmd14",

language = "English (US)",

pages = "BMD14",

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

}

TY - CONF

T1 - Real-time assessment of mental workload with near-infrared spectroscopy

T2 - Biomedical Optics, BIOMED 2008

AU - Fantini, Sergio

AU - Sassaroli, Angelo

AU - Tong, Yunjie

AU - Hirshfield, Leanne M.

AU - Girouard, Audrey

AU - Solovey, Erin Treacy

AU - Jacob, Robert J.K.

PY - 2008

Y1 - 2008

N2 - We have used machine learning techniques to analyze functional near-infrared spectroscopy (fNIRS) data from the brain of human subjects to classify different levels of mental workload. Preliminary results show potential for fNIRS in human-computer interaction research.

AB - We have used machine learning techniques to analyze functional near-infrared spectroscopy (fNIRS) data from the brain of human subjects to classify different levels of mental workload. Preliminary results show potential for fNIRS in human-computer interaction research.

UR - http://www.scopus.com/inward/record.url?scp=84884339213&partnerID=8YFLogxK

UR - http://www.scopus.com/inward/citedby.url?scp=84884339213&partnerID=8YFLogxK

U2 - 10.1364/biomed.2008.bmd14

DO - 10.1364/biomed.2008.bmd14

M3 - Paper

AN - SCOPUS:84884339213

SP - BMD14

Y2 - 16 March 2008 through 19 March 2008

ER -

Real-time assessment of mental workload with near-infrared spectroscopy: Potential for human-computer interaction

Abstract

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ASJC Scopus subject areas

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