Matches in SemOpenAlex for { <https://semopenalex.org/work/W3020487153> ?p ?o ?g. }
- W3020487153 endingPage "2384" @default.
- W3020487153 startingPage "2384" @default.
- W3020487153 abstract "The ability to detect users’ emotions for the purpose of emotion engineering is currently one of the main endeavors of machine learning in affective computing. Among the more common approaches to emotion detection are methods that rely on electroencephalography (EEG), facial image processing and speech inflections. Although eye-tracking is fast in becoming one of the most commonly used sensor modalities in affective computing, it is still a relatively new approach for emotion detection, especially when it is used exclusively. In this survey paper, we present a review on emotion recognition using eye-tracking technology, including a brief introductory background on emotion modeling, eye-tracking devices and approaches, emotion stimulation methods, the emotional-relevant features extractable from eye-tracking data, and most importantly, a categorical summary and taxonomy of the current literature which relates to emotion recognition using eye-tracking. This review concludes with a discussion on the current open research problems and prospective future research directions that will be beneficial for expanding the body of knowledge in emotion detection using eye-tracking as the primary sensor modality." @default.
- W3020487153 created "2020-05-01" @default.
- W3020487153 creator A5020103786 @default.
- W3020487153 creator A5057024603 @default.
- W3020487153 creator A5081495376 @default.
- W3020487153 date "2020-04-22" @default.
- W3020487153 modified "2023-10-17" @default.
- W3020487153 title "Emotion Recognition Using Eye-Tracking: Taxonomy, Review and Current Challenges" @default.
- W3020487153 cites W1576453162 @default.
- W3020487153 cites W1964694219 @default.
- W3020487153 cites W1976193075 @default.
- W3020487153 cites W1981616671 @default.
- W3020487153 cites W1991355502 @default.
- W3020487153 cites W1995341919 @default.
- W3020487153 cites W2001097956 @default.
- W3020487153 cites W2007321142 @default.
- W3020487153 cites W2008275147 @default.
- W3020487153 cites W2011826874 @default.
- W3020487153 cites W2022214793 @default.
- W3020487153 cites W2025296793 @default.
- W3020487153 cites W2025348895 @default.
- W3020487153 cites W2027151471 @default.
- W3020487153 cites W2032005922 @default.
- W3020487153 cites W2032254851 @default.
- W3020487153 cites W2038952578 @default.
- W3020487153 cites W2039290855 @default.
- W3020487153 cites W2049521441 @default.
- W3020487153 cites W2050247947 @default.
- W3020487153 cites W2052690259 @default.
- W3020487153 cites W2059762871 @default.
- W3020487153 cites W2062618262 @default.
- W3020487153 cites W2064149108 @default.
- W3020487153 cites W2064675550 @default.
- W3020487153 cites W2075080115 @default.
- W3020487153 cites W2076634244 @default.
- W3020487153 cites W2076750860 @default.
- W3020487153 cites W2077574412 @default.
- W3020487153 cites W2080821200 @default.
- W3020487153 cites W2081428746 @default.
- W3020487153 cites W2084115469 @default.
- W3020487153 cites W2084507520 @default.
- W3020487153 cites W2086699924 @default.
- W3020487153 cites W2088385127 @default.
- W3020487153 cites W2091084672 @default.
- W3020487153 cites W2098951409 @default.
- W3020487153 cites W2102998034 @default.
- W3020487153 cites W2105092561 @default.
- W3020487153 cites W2117104656 @default.
- W3020487153 cites W2122111042 @default.
- W3020487153 cites W2126698740 @default.
- W3020487153 cites W2127023913 @default.
- W3020487153 cites W2128782393 @default.
- W3020487153 cites W2132889650 @default.
- W3020487153 cites W2132920211 @default.
- W3020487153 cites W2134050473 @default.
- W3020487153 cites W2134995458 @default.
- W3020487153 cites W2135197638 @default.
- W3020487153 cites W2138172448 @default.
- W3020487153 cites W2149628368 @default.
- W3020487153 cites W2156503193 @default.
- W3020487153 cites W2163911190 @default.
- W3020487153 cites W2164699598 @default.
- W3020487153 cites W2164847484 @default.
- W3020487153 cites W2168056503 @default.
- W3020487153 cites W2171535561 @default.
- W3020487153 cites W2193123469 @default.
- W3020487153 cites W2394984844 @default.
- W3020487153 cites W2551666620 @default.
- W3020487153 cites W2556247010 @default.
- W3020487153 cites W2587064974 @default.
- W3020487153 cites W2732868986 @default.
- W3020487153 cites W2793431625 @default.
- W3020487153 cites W2796053559 @default.
- W3020487153 cites W2810418809 @default.
- W3020487153 cites W2889539137 @default.
- W3020487153 cites W2913622439 @default.
- W3020487153 cites W2921907837 @default.
- W3020487153 cites W2928280709 @default.
- W3020487153 cites W2955186568 @default.
- W3020487153 cites W2995733078 @default.
- W3020487153 cites W2999734205 @default.
- W3020487153 cites W4235199093 @default.
- W3020487153 cites W4251591997 @default.
- W3020487153 cites W4252836618 @default.
- W3020487153 doi "https://doi.org/10.3390/s20082384" @default.
- W3020487153 hasPubMedCentralId "https://www.ncbi.nlm.nih.gov/pmc/articles/7219342" @default.
- W3020487153 hasPubMedId "https://pubmed.ncbi.nlm.nih.gov/32331327" @default.
- W3020487153 hasPublicationYear "2020" @default.
- W3020487153 type Work @default.
- W3020487153 sameAs 3020487153 @default.
- W3020487153 citedByCount "91" @default.
- W3020487153 countsByYear W30204871532020 @default.
- W3020487153 countsByYear W30204871532021 @default.
- W3020487153 countsByYear W30204871532022 @default.
- W3020487153 countsByYear W30204871532023 @default.
- W3020487153 crossrefType "journal-article" @default.
- W3020487153 hasAuthorship W3020487153A5020103786 @default.
- W3020487153 hasAuthorship W3020487153A5057024603 @default.