Softmood is a research project to provide crisis detection for mental health conditions.

Softmood uses biometrics from FitBit devices and mood data from users to produce fuzzy time-series which are used to predict changes in mental state ahead of time. Sleep and activity data, plus self-reported mood states, are used to build personalised mental health models.

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Publications

Conference presentations and publications relating to Softmood