most citedWearable data from subjects playing Super Mario, sitting university exams, or performing physical exercise help detect acute mood episodes via self-supervised learning

3 citations · 3 across the 1 of their papers we have counts for

collaborators

1 paper

cs.LG2023★ 3 cited

Wearable data from subjects playing Super Mario, sitting university exams, or performing physical exercise help detect acute mood episodes via self-supervised learning

Filippo Corponi, Bryan M. Li, Gerard Anmella +13

Personal sensing, leveraging data passively and near-continuously collected with wearables from patients in their ecological environment, is a promising paradigm to monitor mood di…