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Analysis of emotion recognition using facial expressions, speech and multimodal information

Overview of attention for article published in this source, October 2004
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12 patents

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737 Mendeley
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1 CiteULike
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Article details
Title
Analysis of emotion recognition using facial expressions, speech and multimodal information
Published by
Association for Computing Machinery (ACM), October 2004
DOI 10.1145/1027933.1027968
Authors

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Mendeley demographics

Mendeley demographics

The data shown below were compiled from readership statistics for 737 Mendeley readers of this research output. Click here to see the associated Mendeley record.
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Geographical breakdown

Geographical breakdown
Country Count As %
United States 9 1%
Australia 6 <1%
Germany 5 <1%
United Kingdom 5 <1%
France 5 <1%
Spain 4 <1%
Portugal 3 <1%
Switzerland 3 <1%
Netherlands 2 <1%
Other 17 2%
Unknown 678 92%

Demographic breakdown

Readers by professional status
Readers by professional status Count As %
Student > Ph. D. Student 166 23%
Student > Master 120 16%
Student > Bachelor 106 14%
Researcher 84 11%
Professor > Associate Professor 30 4%
Other 90 12%
Unknown 141 19%
Readers by discipline
Readers by discipline Count As %
Computer Science 287 39%
Engineering 122 17%
Psychology 69 9%
Social Sciences 20 3%
Business, Management and Accounting 14 2%
Other 62 8%
Unknown 163 22%