Abstract

TEAM will develop a system able to 1) discover important objects and their relationships with other objects, 2) track the objects in an instance-based long-term fashion, 3) use information about the detected objects and associated object tracks to form symbolic, high-level and compact memories describing past user interactions, 4) exploit such memories to carry out downstream tasks. The proposed research goes towards the realization of a key enabling technology able to understand user-object interactions in a long term fashion, which can be beneficial in the health domain, where wearable systems can be used for cognitive assessment and training.

Partenariato

• Università degli Studi di Udine (PI)
• Università degli Studi di Catania

Importo del progetto

Importo totale del progetto        Euro 239.761
Importo del progetto Uniud        Euro 131.385
Finanziamento Uniud                Euro

Durata

• Data avvio progetto 01/12/2023
• Data conclusione progetto 30/11/2025

Link

Sito progetto