Costela Francisco M, Woods Russell L
Schepens Eye Research Institute, Massachusetts Eye and Ear, Boston, MA, USA.
Department of Ophthalmology, Harvard Medical School, Boston, MA, USA.
Data Brief. 2019 Jun 4;25:103991. doi: 10.1016/j.dib.2019.103991. eCollection 2019 Aug.
The provided database of tracked eye movements was collected using an infra-red, video-camera Eyelink 1000 system, from 95 participants as they viewed 'Hollywood' video clips. There are 206 clips of 30-s and eleven clips of 30-min for a total viewing time of about 60 hours. The database also provides the raw 30-s video clip files, a short preview of the 30-min clips, and subjective ratings of the content of the videos for each in categories: (1) genre; (2) importance of human faces; (3) importance of human figures; (4) importance of man-made objects; (5) importance of nature; (6) auditory information; (7) lighting; and (8) environment type. Precise timing of the scene cuts within the clips and the democratic gaze scanpath position (center of interest) per frame are provided. At this time, this eye-movement dataset has the widest age range (22-85 years) and is the third largest (in recorded video viewing time) of those that have been made available to the research community. The data-acquisition procedures are described, along with participant demographics, summaries of some common eye-movement statistics, and highlights of research topics in which the database was used. The dataset is freely available in the Open Science Framework repository (link in the manuscript) and can be used without restriction for educational and research purposes, providing that this paper is cited in any published work.
所提供的跟踪眼动数据库是使用红外视频摄像机Eyelink 1000系统收集的,来自95名参与者观看“好莱坞”视频片段时的记录。有206个30秒的片段和11个30分钟的片段,总观看时间约为60小时。该数据库还提供了原始的30秒视频片段文件、30分钟片段的简短预览,以及对每个视频内容在以下类别中的主观评分:(1)类型;(2)人脸的重要性;(3)人物的重要性;(4)人造物体的重要性;(5)自然的重要性;(6)听觉信息;(7)灯光;以及(8)环境类型。提供了片段内场景切换的精确时间以及每帧的民主注视扫描路径位置(兴趣中心)。目前,这个眼动数据集具有最宽的年龄范围(22 - 85岁),并且在所提供给研究界的数据集中,其记录的视频观看时间排名第三。文中描述了数据采集程序,以及参与者的人口统计学信息、一些常见眼动统计数据的总结,以及使用该数据库的研究主题亮点。该数据集可在开放科学框架存储库(手稿中的链接)中免费获取,只要在任何已发表的作品中引用本文,就可以无限制地用于教育和研究目的。