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 / Friedhelm Schwenker, Stefan Scherer, (eds.)
نوع المادة :![نص](/opac-tmpl/lib/famfamfam/BK.png)
- text
- unmediated
- volume
- 9783030209834
- 9783030209841
- 3030209849
- MPRSS 2018
- QA76.9.H85 M77 2018
نوع المادة | المكتبة الحالية | رقم الطلب | رقم النسخة | حالة | تاريخ الإستحقاق | الباركود | |
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UAE Federation Library | مكتبة اتحاد الإمارات General Collection | المجموعات العامة | QA76.9.H85 M77 2018 (إستعراض الرف(يفتح أدناه)) | C.1 | Library Use Only | داخل المكتبة فقط | 30030000000937 | ||
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UAE Federation Library | مكتبة اتحاد الإمارات General Collection | المجموعات العامة | QA76.9.H85 M77 2018 (إستعراض الرف(يفتح أدناه)) | C.2 | المتاح | 30030000000938 |
Browsing UAE Federation Library | مكتبة اتحاد الإمارات shelves, Shelving location: General Collection | المجموعات العامة إغلاق مستعرض الرف(يخفي مستعرض الرف)
QA76.9.H85 K45 2016. Usability and human-computer interaction : a concise study / | QA76.9.H85 L48125 2018 عالمنا الافتراضي : ما هو؟ و ما علاقته بالواقع؟ / | QA76.9.H85 M77 2018 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 / | QA76.9.H85 M77 2018 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 / | QA76.9.H85 P53 1997 Affective computing / | QA76.9.H85 P53 1997 Affective computing / | QA76.9.H85 S494 2012 It's our research : getting stakeholder buy-in for user experience research projects / |
Includes bibliographical references and author index
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
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