ENGLISH

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

Book information

Publisher
Springer International Publishing
Year
2019
ISBN
978-3-030-20983-4;978-3-030-20984-1
Language
english
Format
PDF
Filesize
12 MB (12412187 bytes)
Series
Lecture Notes in Computer Science 11377
Edition
1st ed.
Pages
VII, 117\124
Time added
2019-09-18 12:19:25

Description

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. Front Matter ....Pages i-vii Multi-focus Image Fusion with PCA Filters of PCANet (Xu Song, Xiao-Jun Wu)....Pages 1-17 An Image Captioning Method for Infant Sleeping Environment Diagnosis (Xinyi Liu, Mariofanna Milanova)....Pages 18-26 A First-Person Vision Dataset of Office Activities (Girmaw Abebe, Andreu Catala, Andrea Cavallaro)....Pages 27-37 Perceptual Judgments to Detect Computer Generated Forged Faces in Social Media (Suzan Anwar, Mariofanna Milanova, Mardin Anwer, Anderson Banihirwe)....Pages 38-48 Combining Deep and Hand-Crafted Features for Audio-Based Pain Intensity Classification (Patrick Thiam, Friedhelm Schwenker)....Pages 49-58 Deep Learning Algorithms for Emotion Recognition on Low Power Single Board Computers (Venkatesh Srinivasan, Sascha Meudt, Friedhelm Schwenker)....Pages 59-70 Improving Audio-Visual Speech Recognition Using Gabor Recurrent Neural Networks (Ali S. Saudi, Mahmoud I. Khalil, Hazem M. Abbas)....Pages 71-83 Evolutionary Algorithms for the Design of Neural Network Classifiers for the Classification of Pain Intensity (Danila Mamontov, Iana Polonskaia, Alina Skorokhod, Eugene Semenkin, Viktor Kessler, Friedhelm Schwenker)....Pages 84-100 Visualizing Facial Expression Features of Pain and Emotion Data (Jan Sellner, Patrick Thiam, Friedhelm Schwenker)....Pages 101-115 Back Matter ....Pages 117-117

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