gazeNet: End-to-end eye-movement event detection with deep neural networks
Existing event detection algorithms for eye-movement data almost exclusively rely on
thresholding one or more hand-crafted signal features, each computed from the stream of …
thresholding one or more hand-crafted signal features, each computed from the stream of …
Eye movement velocity and gaze data generator for evaluation, robustness testing and assess of eye tracking software and visualization tools
Eye movements hold information about human perception, intention, and cognitive state. We
propose a novel eye movement simulator that i) probabilistically simulates saccade …
propose a novel eye movement simulator that i) probabilistically simulates saccade …
Evaluating three approaches to binary event-level agreement scoring. A reply to Friedman (2020)
Recently, Friedman (2020) published a letter in which he claims there are three errors and
two problems in our paper “gazeNet: End-to-end eye-movement event detection with deep …
two problems in our paper “gazeNet: End-to-end eye-movement event detection with deep …
Open data validation of a classification method of eye movement by a convolutional neural network
S Kamikawa, T Sato, T Terashita… - International Forum on …, 2021 - spiedigitallibrary.org
We analyze fixation and saccade using an extension of a convolutional neural network
(CNN) model and compare the results to a conventional modeling method (gazeNet). Unlike …
(CNN) model and compare the results to a conventional modeling method (gazeNet). Unlike …
[PDF][PDF] 医用画像読影教育システムのための深層学習による眼球運動の分類手法
神川怜史， カミカワサトシ - 2020 - naist.repo.nii.ac.jp
修士論文 医用画像読影教育システムのための深層学習による 眼球運動の分類手法 Page 1 修士
論文 医用画像読影教育システムのための深層学習による 眼球運動の分類手法 神川 怜史 奈良 …
論文 医用画像読影教育システムのための深層学習による 眼球運動の分類手法 神川 怜史 奈良 …