Classifying mobile eye tracking data with hidden Markov models-Reference-Cited by-同舟云学术

Classifying mobile eye tracking data with hidden Markov models

Published:2016-09-06 Issue: Volume: Page:
ISSN:
Container-title:Proceedings of the 18th International Conference on Human-Computer Interaction with Mobile Devices and Services Adjunct
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Author:

Kit Dmitry¹,Sullivan Brian²

Affiliation:

1. Bath University, Bath, UK

2. University of Bristol, Bristol, UK

Publisher

ACM

Link

https://dl.acm.org/doi/pdf/10.1145/2957265.2965014

Reference17 articles.

1. Boccignone G. (2015). Advanced statistical methods for eye movement analysis and modeling: a gentle introduction. arXiv preprint arXiv:1506.07194. Boccignone G. (2015). Advanced statistical methods for eye movement analysis and modeling: a gentle introduction. arXiv preprint arXiv:1506.07194.

2. Defending Yarbus: Eye movements reveal observers' task

3. Eye movement analysis for activity recognition

4. Classification of visual and linguistic tasks using eye-movement features

5. George A. & Routray A. (2015). A score level fusion method for eye movement biometrics. Pattern Recognition Letters. George A. & Routray A. (2015). A score level fusion method for eye movement biometrics. Pattern Recognition Letters.

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