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

Overview of attention for book
Attention for Chapter 11: The SenseEmotion Database: A Multimodal Database for the Development and Systematic Validation of an Automatic Pain- and Emotion-Recognition System
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Chapter title
The SenseEmotion Database: A Multimodal Database for the Development and Systematic Validation of an Automatic Pain- and Emotion-Recognition System
Chapter number 11
Book title
Multimodal Pattern Recognition of Social Signals in Human-Computer-Interaction
Published by
Springer, Cham, December 2016
DOI 10.1007/978-3-319-59259-6_11
Book ISBNs
978-3-31-959258-9, 978-3-31-959259-6
Authors

Maria Velana, Sascha Gruss, Georg Layher, Patrick Thiam, Yan Zhang, Daniel Schork, Viktor Kessler, Sascha Meudt, Heiko Neumann, Jonghwa Kim, Friedhelm Schwenker, Elisabeth André, Harald C. Traue, Steffen Walter, Velana, Maria, Gruss, Sascha, Layher, Georg, Thiam, Patrick, Zhang, Yan, Schork, Daniel, Kessler, Viktor, Meudt, Sascha, Neumann, Heiko, Kim, Jonghwa, Schwenker, Friedhelm, André, Elisabeth, Traue, Harald C., Walter, Steffen

Mendeley readers

Mendeley readers

The data shown below were compiled from readership statistics for 40 Mendeley readers of this research output. Click here to see the associated Mendeley record.

Geographical breakdown

Country Count As %
Unknown 40 100%

Demographic breakdown

Readers by professional status Count As %
Researcher 7 18%
Student > Bachelor 4 10%
Student > Ph. D. Student 4 10%
Student > Master 3 8%
Student > Postgraduate 2 5%
Other 3 8%
Unknown 17 43%
Readers by discipline Count As %
Computer Science 12 30%
Engineering 5 13%
Neuroscience 2 5%
Psychology 1 3%
Agricultural and Biological Sciences 1 3%
Other 1 3%
Unknown 18 45%