State Key Laboratory of Cognitive Neuroscience and Learning & IDG/McGovern Institute for Brain Research, Beijing Normal University, Beijing, 100875, China.
Beijing Key Laboratory of Applied Experimental Psychology, Faculty of Psychology, Beijing Normal University, Beijing, 100875, China.
Sci Data. 2023 Jun 27;10(1):415. doi: 10.1038/s41597-023-02325-6.
Human action recognition is a critical capability for our survival, allowing us to interact easily with the environment and others in everyday life. Although the neural basis of action recognition has been widely studied using a few action categories from simple contexts as stimuli, how the human brain recognizes diverse human actions in real-world environments still needs to be explored. Here, we present the Human Action Dataset (HAD), a large-scale functional magnetic resonance imaging (fMRI) dataset for human action recognition. HAD contains fMRI responses to 21,600 video clips from 30 participants. The video clips encompass 180 human action categories and offer a comprehensive coverage of complex activities in daily life. We demonstrate that the data are reliable within and across participants and, notably, capture rich representation information of the observed human actions. This extensive dataset, with its vast number of action categories and exemplars, has the potential to deepen our understanding of human action recognition in natural environments.
人类动作识别是我们生存的关键能力，使我们能够在日常生活中轻松地与环境和他人互动。尽管使用简单情境下的少数动作类别作为刺激，已经广泛研究了动作识别的神经基础，但人类大脑如何在真实环境中识别各种人类动作仍需要探索。在这里，我们提出了人类动作数据集（HAD），这是一个用于人类动作识别的大规模功能磁共振成像（fMRI）数据集。HAD 包含来自 30 名参与者的 21600 个视频片段的 fMRI 响应。这些视频片段包含 180 个人类动作类别，全面涵盖了日常生活中的复杂活动。我们证明了数据在参与者内部和之间是可靠的，并且特别地，捕捉了所观察到的人类动作的丰富表示信息。这个庞大的数据集，具有大量的动作类别和范例，有可能加深我们对自然环境中人类动作识别的理解。
