no code implementations • 3 Oct 2023 • Matias Rusanen, Gabriel Jouan, Riku Huttunen, Sami Nikkonen, Sigríður Sigurðardóttir, Juha Töyräs, Brett Duce, Sami Myllymaa, Erna Sif Arnardottir, Timo Leppänen, Anna Sigridur Islind, Samu Kainulainen, Henri Korkalainen
State-of-the-art automatic sleep staging methods have already demonstrated comparable reliability and superior time efficiency to manual sleep staging.
no code implementations • 26 Jun 2022 • Slavisa Aleksic, Michael Atanasov, Jean Calleja Agius, Kenneth Camilleri, Anto Cartolovni, Pau Climent-Peerez, Sara Colantonio, Stefania Cristina, Vladimir Despotovic, Hazim Kemal Ekenel, Ekrem Erakin, Francisco Florez-Revuelta, Danila Germanese, Nicole Grech, Steinunn Gróa Sigurðardóttir, Murat Emirzeoglu, Ivo Iliev, Mladjan Jovanovic, Martin Kampel, William Kearns, Andrzej Klimczuk, Lambros Lambrinos, Jennifer Lumetzberger, Wiktor Mucha, Sophie Noiret, Zada Pajalic, Rodrigo Rodriguez Peerez, Galidiya Petrova, Sintija Petrovica, Peter Pocta, Angelica Poli, Mara Pudane, Susanna Spinsante, Albert Ali Salah, Maria Jose Santofimia, Anna Sigridur Islind, Lacramioara Stoicu-Tivadar, Hilda Tellioglu, Andrej Zgank
The report illustrates the state of the art of the most successful AAL applications and functions based on audio and video data, namely (i) lifelogging and self-monitoring, (ii) remote monitoring of vital signs, (iii) emotional state recognition, (iv) food intake monitoring, activity and behaviour recognition, (v) activity and personal assistance, (vi) gesture recognition, (vii) fall detection and prevention, (viii) mobility assessment and frailty recognition, and (ix) cognitive and motor rehabilitation.
no code implementations • 15 Sep 2021 • Anna Sigridur Islind, María Óskarsdóttir, Corentin Cot, Giacomo Cacciapaglia, Francesco Sannino
In this paper we analyze the impact of vaccinations on spread of the COVID-19 virus for different age groups.
no code implementations • 22 Dec 2020 • Giacomo Cacciapaglia, Corentin Cot, Anna Sigridur Islind, María Óskarsdóttir, Francesco Sannino
We employ the epidemic Renormalization Group (eRG) framework to understand, reproduce and predict the COVID-19 pandemic diffusion across the US.
Physics and Society Populations and Evolution