Lightweight Convolutional Neural Network for Image Processing Method for Gaze Estimation and Eye Movement Event Detection-Reference-Cited by-同舟云学术

Lightweight Convolutional Neural Network for Image Processing Method for Gaze Estimation and Eye Movement Event Detection

Published:2020 Issue:0 Volume:13 Page:7-15
ISSN:1882-6679
Container-title:IPSJ Transactions on Bioinformatics
language:en
Short-container-title:IPSJ Transactions on Bioinformatics

Author:

Emoto Joshua¹,Hirata Yutaka¹

Affiliation:

1. Chubu University

Publisher

Information Processing Society of Japan

Subject

Computer Science Applications,Biochemistry, Genetics and Molecular Biology (miscellaneous)

Link

https://www.jstage.jst.go.jp/article/ipsjtbio/13/0/13_7/_pdf

Reference14 articles.

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2. [2] Zhao, M., Gersch, T.M., Schnitzer, B.S., Dosher, B.A. and Kowler, E.: Eye movements and attention: The role of pre-saccadic shifts of attention in perception, memory and the control of saccades, Vision Research, Vol.74, pp.40-60 (online), DOI: https://doi.org/10.1016/j.visres.2012.06.017 (2012).

3. [3] Hirata, Y., Nishiyama, J. and Kinoshita, S.: Detection and prediction of drowsiness by reflexive eye movements, 2009 Annual International Conference of the IEEE Engineering in Medicine and Biology Society, pp.4015-4018 (online), DOI: 10.1109/IEMBS.2009.5333504 (2009).

4. [4] Smith, J.D. and Graham, T.C.N.: Use of Eye Movements for Video Game Control, Proc. International Conference on ACE, pp.1-8, ACM (online), DOI: 10.1145/1178823.1178847 (2006).

5. [5] Sakashita, Y., Fujiyoshi, H. and Hirata, Y.: Measurement of 3D Eye Movements Using Image Processing, Journal of JSEM, Vol.6, No.3, pp.236-243 (2006).

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