Application of hidden Markov models to eye tracking data analysis of visual quality inspection operations

Author:

Ulutas Berna HaktanirlarORCID,Özkan N. FıratORCID,Michalski RafałORCID

Funder

Narodowe Centrum Nauki

ESOGU

Publisher

Springer Science and Business Media LLC

Subject

Management Science and Operations Research

Reference42 articles.

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2. Baum LE (1972) An inequality and associated maximization technique in statistical estimation for probabilistic functions of Markov processes. In: Shisha O (ed) Proceedings of the 3rd symposium on inequalities. University of California, Los Angeles, pp 1–8

3. Boisvert JFG, Bruce NDB (2016) Predicting task from eye movements: on the importance of spatial distribution, dynamics, and image features. Neurocomputing 207:653–668. https://doi.org/10.1016/j.neucom.2016.05.047

4. Chuk T, Chan AB, Hsiao JH (2014) Understanding eye movements in face recognition using hidden Markov models. J Vis 14(11):1–14. https://doi.org/10.1167/14.11.8

5. Coutrot A, Hsiao JH, Chan AB (2018) Scanpath modeling and classification with hidden Markov models. Behav Res Methods 50(1):362–379. https://doi.org/10.3758/s13428-017-0876-8

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