DEPART: Multi-Task Interpretable Depression and Parkinson’s Disease Detection from In-the-Wild Video Data

Automated video-based detection of cognitive disorders can enable a scalable non-invasive health monitoring. However, existing methods focus on a single disease and provide limited interpretability, whereas real-world videos often contain co-occurring conditions. We propose a novel unified multi-tas...

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Główni autorzy:	Elena Ryumina, Alexandr Axyonov, Mikhail Dolgushin, Dmitry Ryumin, Alexey Karpov
Format:	Artigo
Język:	Inglês
Wydane:	MDPI AG 2026-03-01
Seria:	Big Data and Cognitive Computing
Hasła przedmiotowe:	cognitive disorder detection multi-task learning video analysis self-attention gated attention prototype-based refinement
Dostęp online:	https://www.mdpi.com/2504-2289/10/3/89
Etykiety:	Dodaj etykietę Nie ma etykietki, Dołącz pierwszą etykiete!