CRCNS data sharing: Human eye movements under natural free viewing

CRCNS数据共享：自然自由观看下的人眼运动

• 批准号: 0747477
• 负责人: Laurent Itti
• 金额: $ 7.8万
• 依托单位: University of Southern California
• 依托单位国家: 美国
• 项目类别: Standard Grant
• 财政年份: 2007
• 资助国家: 美国
• 起止时间: 2007-08-15 至 2009-07-31
• 项目状态: 已结题
• 来源: https://www.nsf.gov/awardsearch/showAward?AWD_ID=0747477&HistoricalAwards=false
• 关键词: CRCNS; data; sharing; Human; eye

Proposal No: 0747477PI: Laurent IttiAward Abstract:This award supports the preparation and sharing of computational neuroscience data as part of an exploratory activity aimed at catalyzing rapid and innovative advances in computational neuroscience and related fields. The data to be shared in this project are recordings of eye movements of subjects watching video clips under natural free viewing conditions. Data will be made available in both raw and processed forms, along with the corresponding video stimuli. Code will be provided for calibration of traces. Code, training data, and validation data will be provided to facilitate the development of prediction algorithms. These data were originally collected for development of an information-theoretic model of visual saliency and visual attention. It is anticipated that they will be useful for a broad range of questions in neuroscience, cognitive psychology, and computer vision. Saliency maps and raw feature maps tied to the information-theoretic model will also be made available, to allow users interested in quantifying which low-level visual features may more strongly attract human attention and gaze to easily perform quantitative analyses.

提案编号：0747477 PI：Laurent IttiAward摘要：该奖项支持计算神经科学数据的准备和共享，作为旨在催化计算神经科学及相关领域快速创新进展的探索性活动的一部分。 本项目中共享的数据是受试者在自然自由观看条件下观看视频片段时的眼动记录。数据将以原始和处理后的形式提供，沿着相应的视频刺激。 将提供跟踪校准代码。 将提供代码、训练数据和验证数据，以促进预测算法的开发。 这些数据最初收集的视觉显着性和视觉注意的信息理论模型的发展。 预计它们将对神经科学，认知心理学和计算机视觉中的广泛问题有用。 还将提供与信息理论模型相关的显着性图和原始特征图，以允许有兴趣量化哪些低级视觉特征可能更强烈地吸引人类注意力和凝视的用户轻松执行定量分析。