Words from texts of least (left/top) and most (right/bottom) depressed Moodable/EMU participants

The World Health Organization (WHO) has identified mental health disorders as a serious global epidemic affecting up to 26.4% of the population in some countries.  Although early diagnosis and prevention are crucial to achieving a positive outcome, many patients remain undiagnosed.  The goal of the Emutivo project is to leverage the explosion of new data sources to develop novel emotion, mood, and mental health detection methods.  The name Emutivo was inspired by our Early Mental Health Uncovering (EMU) framework and emotivo which is the Spanish/Italian word for emotion.


Presented DepreST-CAT, StudentSADD, & 3 workshop papers at UbiComp22

DepreST-CAT and StudentSADD datasets are now available!

AudiBERT Featured on WPI News, Apr 26 2022

Four Posters Presented at WiDS Central MA

Created Google Colab Notebook for AudiBERT