naa a22 4500 510776418 CHVBK 20180411083231.0 cr unu---uuuuu 180411e20130301xx s 000 0 eng 10.3758/s13428-012-0234-9 doi (NATIONALLICENCE)springer-10.3758/s13428-012-0234-9 Automated classification and scoring of smooth pursuit eye movements in the presence of fixations and saccades [Elektronische Daten] [Oleg Komogortsev, Alex Karpov] Ternary eye movement classification, which separates fixations, saccades, and smooth pursuit from the raw eye positional data, is extremely challenging. This article develops new and modifies existing eye-tracking algorithms for the purpose of conducting meaningful ternary classification. To this end, a set of qualitative and quantitative behavior scores is introduced to facilitate the assessment of classification performance and to provide means for automated threshold selection. Experimental evaluation of the proposed methods is conducted using eye movement records obtained from 11 subjects at 1000Hz in response to a step-ramp stimulus eliciting fixations, saccades, and smooth pursuits. Results indicate that a simple hybrid method that incorporates velocity and dispersion thresholding allows producing robust classification performance. It is concluded that behavior scores are able to aid automated threshold selection for the algorithms capable of successful classification. Psychonomic Society, Inc., 2012 Eye movements nationallicence Classification nationallicence Algorithm nationallicence Analysis nationallicence Scoring nationallicence Metrics nationallicence Smooth-pursuit nationallicence Komogortsev Oleg Department of Computer Science, Texas State University, 601 University Drive, 78666, San Marcos, TX, USA aut Karpov Alex Department of Computer Science, Texas State University, 601 University Drive, 78666, San Marcos, TX, USA aut Behavior Research Methods Springer-Verlag 45/1(2013-03-01), 203-215 45:1<203 2013 45 13428 https://doi.org/10.3758/s13428-012-0234-9 text/html Onlinezugriff via DOI 1 research-article jats NATIONALLICENCE 856 40 https://doi.org/10.3758/s13428-012-0234-9 text/html Onlinezugriff via DOI NATIONALLICENCE 700 1- Komogortsev Oleg Department of Computer Science, Texas State University, 601 University Drive, 78666, San Marcos, TX, USA aut NATIONALLICENCE 700 1- Karpov Alex Department of Computer Science, Texas State University, 601 University Drive, 78666, San Marcos, TX, USA aut NATIONALLICENCE 773 0- Behavior Research Methods Springer-Verlag 45/1(2013-03-01), 203-215 45:1<203 2013 45 13428 Metadata rights reserved Springer special CC-BY-NC licence nationallicence BK010053 XK010053 XK010000 NATIONALLICENCE NATIONALLICENCE NL-springer