A novel and accurate emotion recognition system for real-time and continuous patient monitoring in psychiatrybroad
ADAPTE · Horizon Europe grant · 2023-11-01–2026-04-30
EC contribution
Total cost
Beneficiaries
About the data
Source: CORDIS (official EU open data), Horizon Europe. Framework HORIZON · call HORIZON-EIC-2023-ACCELERATOR-01 · scheme HORIZON-EIC-ACC-BF · topic HORIZON-EIC-2023-ACCELERATOROPEN-01. CORDIS record →
Objective
150M people suffer from mental disorders in Europe & this number is sharply increasing. There are not enough psychiatrists to cope with the situation: a psychiatrist sees 1,000 patients in sessions separated every 3-4 months. Psychiatrists have no way to know if a patient's treatment is working and if there is any risk of relapse/suicide between sessions. A patient's emotional status gives insights into treatment effectiveness and diagnosis of major depressive disorder, but there are no accurate tools to monitor emotions remotely and continuously.Cephalgo has solved this challenge & developed the first accurate, remote & continuous emotion tracker to monitor treatment effectiveness, and predict the best course of treatment for a given patient profile. Combining speech analysis & an AI-driven emotion recognition algorithm, our AI detects emotions with high accuracy & predicts the best treatment to reduce the trial & error approach currently employed in psychiatry.
Beneficiaries (1)
| Organisation | Country | Role | EC contribution | SME |
|---|---|---|---|---|
| CEPHALGO | FR | coordinator | €2,497,708 | Yes |
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