A Cross-modal Review of Indicators for Depression Detection Systems

Michelle Morales, Stefan Scherer, Rivka Levitan
2017 Proceedings of the Fourth Workshop on Computational Linguistics and Clinical Psychology –- From Linguistic Signal to Clinical Reality  
Automatic detection of depression has attracted increasing attention from researchers in psychology, computer science, linguistics, and related disciplines. As a result, promising depression detection systems have been reported. This paper surveys these efforts by presenting the first cross-modal review of depression detection systems and discusses best practices and most promising approaches to this task.
doi:10.18653/v1/w17-3101 dblp:conf/acl-clpsych/MoralesSL17 fatcat:ern3d56epraobnmryo5f2br3e4