Depressioner: Facial dynamic representation for automatic depression level prediction

作者：

Highlights：

• A Graph Convolution Embedding (GCE) block is for channel relationship extraction.

• A Multi-Scale Vectorization (MSV) block is used to vectorize the temporal tensor.

• A Depressioner model is developed to predict the individual depression level.

摘要

•A Graph Convolution Embedding (GCE) block is for channel relationship extraction.•A Multi-Scale Vectorization (MSV) block is used to vectorize the temporal tensor.•A Depressioner model is developed to predict the individual depression level.

论文关键词：Depression level prediction,Facial changes,ResNet50,Graph convolution embedding block,Multi-scale vectorization block

论文评审过程：Received 18 November 2021, Revised 6 April 2022, Accepted 3 May 2022, Available online 14 May 2022, Version of Record 20 May 2022.

论文官网地址：https://doi.org/10.1016/j.eswa.2022.117512