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  KEYWORD

A Mobile App for Human Activity Recognition

estero Tesi all'estero


Riferimenti GUIDO MARCHETTO, ALESSIO SACCO

Riferimenti esterni Prof. Flavio Esposito - St. Louis University, USA

Gruppi di ricerca DAUIN - GR-03 - COMPUTER NETWORKS GROUP - NETGROUP

Descrizione Offering precise and timely data regarding individuals' activities and behaviors stands as a paramount objective in pervasive computing. Countless potential applications arise across various domains such as medicine, security, entertainment, and tactical operations. Despite human activity recognition (HAR) being a field of active exploration for over a decade, there remain pivotal aspects that, if resolved, could mark a significant shift in how individuals engage with mobile devices. In this thesis the student will develop a mobile app that can efficiently collect user data, pre-process them, and use them to recognize the activity. This detection will likely occur using a distributed learning framework, as Federated Learning (FL), to combine the knowledge of multiple user devices.


Scadenza validita proposta 01/12/2024      PROPONI LA TUA CANDIDATURA