Automatic Depression Detector
Project Aim
To detect if a participant is depressed using extracted text, gaze and audio features from the DAIC-WOZ dataset.
DAIC-WOZ Database Description
This database is part of a larger corpus, the Distress Analysis Interview Corpus (DAIC) (Gratch et al., 2014), that contains clinical interviews designed to support the diagnosis of psychological distress conditions such as anxiety, depression, and post-traumatic stress disorder. These interviews were collected as part of a larger effort to create a computer agent that interviews people and identifies verbal and nonverbal indicators of mental illness (DeVault et al., 2014). Data collected include audio and video recordings and extensive questionnaire responses; this part of the corpus includes the Wizard-of-Oz interviews, conducted by an animated virtual interviewer called Ellie, controlled by a human interviewer in another room. Data has been transcribed and annotated for a variety of verbal and non-verbal features.
Due to non-disclosure, we will not be sharing the dataset. For more information, please refer to their website.