Kinematic dataset of actors expressing emotions

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 emot...

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Bibliographic Details
Published in:Scientific data 2020-09, Vol.7 (1), p.292-292, Article 292
Main Authors: Zhang, Mingming, Yu, Lu, Zhang, Keye, Du, Bixuan, Zhan, Bin, Chen, Shaohua, Jiang, Xiuhao, Guo, Shuai, Zhao, Jiafeng, Wang, Yang, Wang, Bin, Liu, Shenglan, Luo, Wenbo
Format: Article
Language:English
Subjects:
631/378/3919
631/477/2811
639/705/117
Biomechanical Phenomena
Computer vision
Cues
Data Descriptor
Datasets
Emotions
Facial Expression
Female
Forensic science
Human Body
Humanities and Social Sciences
Humans
Kinematics
Male
Motion capture
Movement
multidisciplinary
Nervous system
Science
Science (multidisciplinary)
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Summary: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. Measurement(s) body movement coordination trait • emotion/affect behavior trait Technology Type(s) motion capture system Factor Type(s) emotion category • sex Sample Characteristic - Organism Homo sapiens Machine-accessible metadata file describing the reported data: https://doi.org/10.6084/m9.figshare.12821150
ISSN:2052-4463
2052-4463
DOI:10.1038/s41597-020-00635-7