Multimodal Pattern Recognition of Social Signals in Human-Computer-Interaction

Multimodal Pattern Recognition of Social Signals in Human-Computer-Interaction
Author :
Publisher : Springer
Total Pages : 124
Release :
ISBN-10 : 9783030209841
ISBN-13 : 3030209849
Rating : 4/5 (41 Downloads)

Book Synopsis Multimodal Pattern Recognition of Social Signals in Human-Computer-Interaction by : Friedhelm Schwenker

Download or read book Multimodal Pattern Recognition of Social Signals in Human-Computer-Interaction written by Friedhelm Schwenker and published by Springer. This book was released on 2019-05-28 with total page 124 pages. Available in PDF, EPUB and Kindle. Book excerpt: 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.


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The very significant advances in computer vision and pattern recognition and their applications in the last few years reflect the strong and growing interest in