Multimodal Pattern Recognition of Social Signals in Human-Computer-Interaction, 1st ed. 2017 4th IAPR TC 9 Workshop, MPRSS 2016, Cancun, Mexico, December 4, 2016, Revised Selected Papers Lecture Notes in Artificial Intelligence Series
Coordonnateurs : Schwenker Friedhelm, Scherer Stefan
The 13 revised papers presented focus on pattern recognition, machine learning and information fusion methods with applications in social signal processing, including multimodal emotion recognition, user identification, and recognition of human activities.
Includes supplementary material: sn.pub/extras
Date de parution : 05-2017
Ouvrage de 161 p.
15.5x23.5 cm
Thème de Multimodal Pattern Recognition of Social Signals in... :
Mots-clés :
activity recognition; artificial intelligence; classification; computer vision; face recognition; gesture recognition; Human-Computer Interaction (HCI); image processing; machine learning; neural neworks; pattern recognition; semantics; signal processing; speech regognition; user interfaces