Multimodal Pattern Recognition of Social Signals in Human-Computer-Interaction 5th IAPR TC 9 Workshop, MPRSS 2018, Beijing, China, August 20, 2018, Revised Selected Papers

Image de couverture de Multimodal Pattern Recognition of Social Signals in Human-Computer-Interaction 5th IAPR TC 9 Workshop, MPRSS 2018, Beijing, China, August 20, 2018, Revised Selected Papers

Titre:

Multimodal Pattern Recognition of Social Signals in Human-Computer-Interaction 5th IAPR TC 9 Workshop, MPRSS 2018, Beijing, China, August 20, 2018, Revised Selected Papers

ISBN (Numéro international normalisé des livres):

9783030209841

Edition:

1st ed. 2019.

PRODUCTION_INFO:

Cham : Springer International Publishing : Imprint: Springer, 2019.

Description physique:

VII, 117 p. 117 illus., 32 illus. in color. online resource.

Collections:

Lecture Notes in Artificial Intelligence, 11377

Table des matières:

Multi-Focus Image Fusion with PCA Filters of PCANet -- An Image Captioning Method for Infant Sleeping Environment Diagnosis -- A First-Person Vision Dataset of Office Activities -- Perceptual Judgments to Detect Computer Generated Forged Faces in Social Media -- Combining Deep and Hand-crafted Features for Audio-based Pain Intensity Classification -- Deep Learning Algorithms for Emotion Recognition on Low Power Single Board Computers -- Improving Audio-Visual Speech Recognition Using Gabor Recurrent Neural Networks -- Evolutionary Algorithms for the Design of Neural Network Classifiers for the Classification of Pain Intensity -- Visualizing Facial Expression Features of Pain and Emotion Data.

Extrait:

This book constitutes the refereed post-workshop proceedings of the 5th IAPR TC9 Workshop on Pattern Recognition of Social Signals in Human-Computer-Interaction, MPRSS 2018, held in Beijing, China, in August 2018. The 10 revised papers presented in this book focus on pattern recognition, machine learning and information fusion methods with applications in social signal processing, including multimodal emotion recognition and pain intensity estimation, especially the question how to distinguish between human emotions from pain or stress induced by pain is discussed.

Terme sujet:

Artificial intelligence.

Computer vision.

Computer networks .

User interfaces (Computer systems).

Human-computer interaction.

Computer Communication Networks.

User Interfaces and Human Computer Interaction.

Auteur ajouté:

Schwenker, Friedhelm.

Scherer, Stefan.

Auteur collectif ajouté: