Publications
International Journal on Smart Sensing and Intelligent Systems
Professor Subhas Chandra Mukhopadhyay
Exeley Inc. (New York)
Subject: Computational Science & Engineering, Engineering, Electrical & Electronic
eISSN: 1178-5608
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VOLUME 7 , ISSUE 5 (December 2014) > List of articles
Special issue ICST 2014
Feasibility Study on Estimating Visual Attention using Electrodermal Activity
Ryuichi Yoshida / Tomohiro Nakayama / Takeki Ogitsu / Hiroshi Takemura / Hiroshi Mizoguchi / Miki Namatame / Etsuji Yamaguchi / Shigenori Inagaki / Yoshiaki Takeda / Masanori Sugimoto / Fusako Kusunoki
Keywords : skin conductance response; Precuing Methsis; Visual Search
Citation Information : International Journal on Smart Sensing and Intelligent Systems. Volume 7, Issue 5, Pages 1-4, DOI: https://doi.org/10.21307/ijssis-2019-050
License : (CC BY-NC-ND 4.0)
Published Online: 15-February-2020
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ARTICLE
ABSTRACT
Electrodermal Activity (EDA) refers to change in the electrical properties of skin during mental exertion caused by tension and agitation. In recent studies, it has been revealed that there is an overlap between the brain activation area where emotion occurs and the brain activation area responsible for attentiveness. Consequently, in this paper we test our hypothesis that, given these findings, visual attention can be estimated via EDA. The results of experiments conducted verify that EDA can be used as an attention index.
FIGURES & TABLES
REFERENCES
[1] Torch W, Cardillo C, “Oculometric measures as an index of driver distraction, inattention, drowsiness and sleep onset,” Driver Distraction and Inattention Conference, 2009.
[2] Hermann MJ, Plichta MM, Ehlis AC, Fallgatter AJ, “Optical topography during a Go-NoGo task assessed with multichannel near-infrared spectoroscopy,” Behavioural Brain Research 160, 2005, pp. 135-140.
[3] Kurniawan H, Maslov AV, Pechenizkiy M, “Stress detection from speech and galvanic skin response signals,” 26th IEEE International Symposium on Computer-Based Medical Systems, 2013, pp.209-214.
[4] Weistroffer V, Paljic A, Callebert L, Fuchs P, “A methodology to assess the acceptability of human-robot collaboration using virtual reality,” 19th ACM Symposium on Virtual Reality Software and Technology, 2013, pp. 39-48.
[5] Posner MI, Snyder CR, Davidson BJ, “Attention and the detection of signals,” Journal of Experimental Psychology: General, 109, 1908, pp. 160-174.
[6] Treisman A, “Feature and Objects in visual processing,” Scientific American, 254(11), 1986, pp. 114-125.