Title :
Detection of Gaze States: Fixation or Motion
Author :
Wang, Xianmei ; Li, Cheng ; Zheng, Siyi ; Wang, Zhiliang
Author_Institution :
Sch. of Comput. & Commun. Eng., Univ. of Sci. & Technol. Beijing, Beijing, China
Abstract :
This paper addresses the problem of automated analysis of gaze states (fixation or motion). First, we present a novel dynamic and multi-level analysis structure for the detection of gaze states based on eye action units (AUs). Then the eye action units are analyzed both in spatial and temporal domain. And finally these eye AUs form the input to infer eye gaze state by employing Hidden Markov Models (HMMs) classifiers. The experimental results demonstrated reliable recognition of gaze states.
Keywords :
emotion recognition; eye; face recognition; hidden Markov models; image classification; HMM; automated gaze state analysis; dynamic analysis structure; expression recognition; eye action units; facial expression recognition; fixation; gaze state detection; hidden Markov models classifiers; motion; multilevel analysis structure; spatial domain; temporal domain; Accuracy; Computational modeling; Face recognition; Feature extraction; Gold; Hidden Markov models; Iris recognition; HMMs; action units; facial expression recognition; gaze state;
Conference_Titel :
Digital Home (ICDH), 2012 Fourth International Conference on
Conference_Location :
Guangzhou
Print_ISBN :
978-1-4673-1348-3
DOI :
10.1109/ICDH.2012.20
