工具箱
凝视
计算机科学
计算机视觉
人工智能
人机交互
计算机图形学(图像)
程序设计语言
作者
Erwan David,Jesús Gutiérrez,Melissa L.-H. Võ,Antoine Coutrot,Matthieu Perreira Da Silva,Patrick Le Callet
标识
DOI:10.1016/j.cag.2024.103890
摘要
Eye tracking has historically been a very popular tool. The data it records allow us to understand how people behave and what they attend to within our visual world; under this perspective the experiments, applications and use-cases are endless. Therefore, it is not surprising to witness a strong rise in the use of eXtended Reality (XR) devices with embedded eye trackers in research. These devices allow for less obtrusive experimenting conditions, and a significantly higher experimental control compared to traditional desktop testing. The use of eye tracking in XR is increasing and so is the need for a toolbox enabling consensus about eye tracking methods in 3D. We present the Salient360! toolbox: it implements functions to identify saccades and fixations and output gaze features (e.g., saccade directions) to generate saliency maps, fixation maps, and scanpath data. It implements comparisons of gaze data with methods adapted to 3D. We plan continuous improvements of the toolbox as the community develops new tools and methods dedicated to 360°gaze tracking. We hope that this toolbox will spark discussions about the methodology of 3D gaze processing, facilitate running experiments, and improve studying gaze in 3D. https://github.com/David-Ef/salient360Toolbox
科研通智能强力驱动
Strongly Powered by AbleSci AI