Micro-expression recognition based on Spatio-temporal capsule network

• Published in: IEEE access Vol. 11; p. 1
• Main Authors: Shang, Ziyang, Liu, Jie, Li, Xinfu
• Format: Journal Article
• Language: English
• Published: Piscataway IEEE 01.01.2023; The Institute of Electrical and Electronics Engineers, Inc. (IEEE)
• Subjects: Accuracy; Algorithms; Capsule network; Data mining; deep learning; differential features; Face recognition; Feature extraction; Heuristic algorithms; Machine learning; micro-expression recognition; Modules; Optical computing; Optical distortion; Optical imaging; Psychological stress; Recognition; Redundancy; spatio-temporal features; spatiotemporal features; Vibration
• ISSN: 2169-3536; 2169-3536
• DOI: 10.1109/ACCESS.2023.3242871

Micro-expression (ME) is a subtle and spontaneous natural facial mechanism that is one of the essential psychological stress responses. Due to its accuracy and uncontrollability for psychological expressions, ME has crucial applications in many psychologically related fields. However, due to small d...