Research Center of Brain and Cognitive Neuroscience, Liaoning Normal University, Dalian, 116029, Liaoning, China.
Key Laboratory of Brain and Cognitive Neuroscience, Liaoning Province, Dalian, 116029, Liaoning, China.
Sci Data. 2020 Sep 8;7(1):292. doi: 10.1038/s41597-020-00635-7.
Human body movements can convey a variety of emotions and even create advantages in some special life situations. However, how emotion is encoded in body movements has remained unclear. One reason is that there is a lack of public human body kinematic dataset regarding the expressing of various emotions. Therefore, we aimed to produce a comprehensive dataset to assist in recognizing cues from all parts of the body that indicate six basic emotions (happiness, sadness, anger, fear, disgust, surprise) and neutral expression. The present dataset was created using a portable wireless motion capture system. Twenty-two semi-professional actors (half male) completed performances according to the standardized guidance and preferred daily events. A total of 1402 recordings at 125 Hz were collected, consisting of the position and rotation data of 72 anatomical nodes. To our knowledge, this is now the largest emotional kinematic dataset of the human body. We hope this dataset will contribute to multiple fields of research and practice, including social neuroscience, psychiatry, computer vision, and biometric and information forensics.
人体运动可以传达各种情绪，甚至在某些特殊生活情境中创造优势。然而，情绪是如何编码在身体运动中的仍然不清楚。一个原因是缺乏关于表达各种情绪的公共人体运动学数据集。因此，我们旨在生成一个全面的数据集，以帮助识别来自身体各个部位的线索，这些线索表示六种基本情绪（喜悦、悲伤、愤怒、恐惧、厌恶、惊讶）和中性表情。本数据集是使用便携式无线运动捕捉系统创建的。22 名半专业演员（一半为男性）根据标准化指导和日常喜好完成表演。共采集了 1402 个 125Hz 的记录，包含 72 个解剖节点的位置和旋转数据。据我们所知，这是目前最大的人体情感运动学数据集。我们希望这个数据集将有助于多个领域的研究和实践，包括社会神经科学、精神病学、计算机视觉以及生物识别和信息取证。
