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%T State of the Art of Audio- and Video-Based Solutions for AAL
%A Aleksic, Slavisa
%A Atanasov, Michael
%A Agius, Jean Calleja
%A Camilleri, Kenneth
%A Cartolovni, Anto
%A Climent-Perez, Pau
%A Colantonio, Sara
%A Cristina, Stefania
%A Despotovic, Vladimir
%A Ekenel, Hazim Kemal
%A Erakin, Ekrem
%A Florez-Revuelta, Francisco
%A Germanese, Danila
%A Grech, Nicole
%A Sigurđardóttir, Steinunn Gróa
%A Emirzeoglu, Murat
%A Iliev, Ivo
%A Jovanovic, Mladjan
%A Kampel, Martin
%A Kearns, William
%A Klimczuk, Andrzej
%A Lambrinos, Lambros
%A Lumetzberger, Jennifer
%A Mucha, Wiktor
%A Noiret, Sophie
%A Pajalic, Zada
%A Perez, Rodrigo Rodriguez
%A Petrova, Galidiya
%A Petrovica, Sintija
%A Pocta, Peter
%A Poli, Angelica
%A Pudane, Mara
%A Spinsante, Susanna
%A Salah, Albert Ali
%A Santofimia, Maria Jose
%A Islind, Anna Sigríđur
%A Stoicu-Tivadar, Lacramioara
%A Tellioglu, Hilda
%A Zgank, Andrej
%P 239
%D 2022
%K Active and Assisted Living; AAL applications; Data sensing and processing; Computer Vision; Audio-signal processing; Social Robotics; Human-Computer Interaction; Lifelogging and self- monitoring; Vital signs remote monitoring; Emotional and affective state recognition; Food intake monitoring; Activity and behaviour recognition; Activity and personal assistance; Gesture recognition; Fall detection and prevention; Mobility assessment; Frailty recognition; Cognitive and motor rehabilitation; Co-design; Silver economy
%> https://nbn-resolving.org/urn:nbn:de:0168-ssoar-78257-6
%C ESP
%C Alicante
%G en
%9 Monographie
%W GESIS - http://www.gesis.org
%~ SSOAR - http://www.ssoar.info