Fusion of Fragmentary Classifier Decisions for Affective State Recognition

Autor:	Andreas Wendemuth, Friedhelm Schwenker, Gerald Krell, Ingo Siegert, Michael Glodek, Bernd Michaelis, Axel Panning
Rok vydání:	2013
Předmět:	Fusion Modalities Current user Computer science Speech recognition Decision fusion Interaction systems Architecture State recognition Classifier (UML)
Zdroj:	Lecture Notes in Computer Science ISBN: 9783642370809 MPRSS
DOI:	10.1007/978-3-642-37081-6_13
Popis:	Real human-computer interaction systems based on different modalities face the problem that not all information channels are always available at regular time steps. Nevertheless an estimation of the current user state is required at anytime to enable the system to interact instantaneously based on the available modalities. A novel approach to decision fusion of fragmentary classifications is therefore proposed and empirically evaluated for audio and video signals of a corpus of non-acted user behavior. It is shown that visual and prosodic analysis successfully complement each other leading to an outstanding performance of the fusion architecture.
Databáze:	OpenAIRE
Externí odkaz:	https://explore.openaire.eu/search/publication?articleId=doi_________::888c396ec1ff7afca16d79c2367ac941 https://doi.org/10.1007/978-3-642-37081-6_13 Zobrazit plný text záznamu