no code implementations • 26 Jul 2019 • Giovanni Costantini, Daniele Casali, Fabio Paolizzo, Marco Alessandrini, Alessandro Micarelli, Andrea Viziano, Giovanni Saggio
Tests were conducted on a group of six older subjects (59y-61y, SD = 2. 09y) and a group of four young subjects (21y-26y, SD = 2. 88y) to underline difference in effectiveness of the system, if any, related to the age of the users.
no code implementations • 30 May 2019 • Fabio Paolizzo
M-GWAP is a multimodal game with a purpose of that leverages on the wisdom of crowds phenomenon for the annotation of multimedia data in terms of mental states.
no code implementations • 29 May 2019 • Fabio Paolizzo, Natalia Pichierri, Daniele Casali, Daniele Giardino, Marco Matta, Giovanni Costantini
Achieving advancements in automatic recognition of emotions that music can induce require considering multiplicity and simultaneity of emotions.
no code implementations • 30 Nov 2017 • Fabio Paolizzo
The present methodology is aimed at cross-modal machine learning and uses multidisciplinary tools and methods drawn from a broad range of areas and disciplines, including music, systematic musicology, dance, motion capture, human-computer interaction, computational linguistics and audio signal processing.