论文标题
手枪：学生提取学生，虹膜，眼动，眼动，瞳孔和虹膜凝视矢量以及2D以及3D注视的学生无形的支持工具
Pistol: Pupil Invisible Supportive Tool to extract Pupil, Iris, Eye Opening, Eye Movements, Pupil and Iris Gaze Vector, and 2D as well as 3D Gaze
论文作者
论文摘要
本文介绍了一个功能提取和凝视估计软件，该软件名为\ textit {pistol}，该软件可以与学生无形的项目和其他眼睛跟踪器一起使用。 In offline mode, our software extracts multiple features from the eye including, the pupil and iris ellipse, eye aperture, pupil vector, iris vector, eye movement types from pupil and iris velocities, marker detection, marker distance, 2D gaze estimation for the pupil center, iris center, pupil vector, and iris vector using Levenberg Marquart fitting and neural networks.每只眼睛的注视信号分别计算为2D，每只特征分别为3D分别计算出每个特征的眼睛。我们希望该软件可以帮助其他研究人员从录音中提取最先进的功能。 链接：https：//es-cloud.cs.uni-tuebingen.de/d/8e2ab8c3fdd44444e1a135/?p=%2Fpistol&mode=list
This paper describes a feature extraction and gaze estimation software, named \textit{Pistol} that can be used with Pupil Invisible projects and other eye trackers in the future. In offline mode, our software extracts multiple features from the eye including, the pupil and iris ellipse, eye aperture, pupil vector, iris vector, eye movement types from pupil and iris velocities, marker detection, marker distance, 2D gaze estimation for the pupil center, iris center, pupil vector, and iris vector using Levenberg Marquart fitting and neural networks. The gaze signal is computed in 2D for each eye and each feature separately and for both eyes in 3D also for each feature separately. We hope this software helps other researchers to extract state-of-the-art features for their research out of their recordings. Link: https://es-cloud.cs.uni-tuebingen.de/d/8e2ab8c3fdd444e1a135/?p=%2FPISTOL&mode=list
