Automated Depression Diagnosis Based on Facial Dynamic Analysis and Sparse Coding

• Published in: IEEE transactions on information forensics and security Vol. 10; no. 7; pp. 1432 - 1441
• Main Authors: Wen, Lingyun, Li, Xin, Guo, Guodong, Zhu, Yu
• Format: Journal Article
• Language: English
• Published: IEEE 01.07.2015
• Subjects: Automatic Diagnosis; Behavioral science; Depression; Dictionaries; Discriminative Mapping; Dynamic Feature Descriptor; Encoding; Face recognition; Feature extraction; Fusion; Histograms; Local Phase Quantization Histograms from Three Orthogonal Planes; Nonverbal Behavior; Sparse coding; Support vector regression; automatic diagnosis; fusion; support vector regression; dynamic feature descriptor; Depression; nonverbal behavior; discriminative mapping; local phase quantization histograms from three orthogonal planes; sparse coding

Depression is a severe psychiatric disorder preventing a person from functioning normally in both work and daily lives. Currently, diagnosis of depression requires extensive participation from clinical experts. It has drawn much attention to develop an automatic system for efficient and reliable dia...