The applicability of probabilistic methods to the online recognition of fixations and saccades in dynamic scenes

Eye Tracking Research and Applications Symposium (ETRA)

Volumn , Issue , 2014, Pages 323-326

  Kasneci, Enkelejda ^a   Kasneci, Gjergji ^b   Kübler, Thomas C ^a   Rosenstiel, Wolfgang ^a  

^a UNIVERSITY OF TÜBINGEN   (Germany)

^b UNIVERSITY OF POTSDAM   (Germany)

Author keywords

Classification; Dynamic scene; Eye movements; Eye tracking; Models; Online; Probabilistic

Indexed keywords

CLASSIFICATION (OF INFORMATION); HIDDEN MARKOV MODELS; MODELS;

CLASSIFICATION PERFORMANCE; DYNAMIC SCENES; EYE-TRACKING; ONLINE; PROBABILISTIC; PROBABILISTIC METHODS; PROBABILISTIC MODELS; REAL-WORLD DRIVINGS;

EYE MOVEMENTS;

EID: 84899690640     PISSN: None     EISSN: None     Source Type: Conference Proceeding    
DOI: 10.1145/2578153.2578213     Document Type: Conference Paper

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