You are seeing a free-to-access but limited selection of the activity Altmetric has collected about this research output.
Click here to find out more.
Mendeley readers
Chapter title |
Deep Learning-Based Emotion Recognition from Real-Time Videos
|
---|---|
Chapter number | 22 |
Book title |
Human-Computer Interaction. Multimodal and Natural Interaction
|
Published by |
Springer, Cham, July 2020
|
DOI | 10.1007/978-3-030-49062-1_22 |
Book ISBNs |
978-3-03-049061-4, 978-3-03-049062-1
|
Authors |
Wenbin Zhou, Justin Cheng, Xingyu Lei, Bedrich Benes, Nicoletta Adamo, Zhou, Wenbin, Cheng, Justin, Lei, Xingyu, Benes, Bedrich, Adamo, Nicoletta |
Mendeley readers
The data shown below were compiled from readership statistics for 26 Mendeley readers of this research output. Click here to see the associated Mendeley record.
Geographical breakdown
Country | Count | As % |
---|---|---|
Unknown | 26 | 100% |
Demographic breakdown
Readers by professional status | Count | As % |
---|---|---|
Student > Master | 2 | 8% |
Lecturer | 2 | 8% |
Student > Doctoral Student | 1 | 4% |
Student > Bachelor | 1 | 4% |
Other | 1 | 4% |
Other | 4 | 15% |
Unknown | 15 | 58% |
Readers by discipline | Count | As % |
---|---|---|
Computer Science | 8 | 31% |
Engineering | 2 | 8% |
Economics, Econometrics and Finance | 1 | 4% |
Business, Management and Accounting | 1 | 4% |
Unknown | 14 | 54% |