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Mendeley readers
| Chapter title |
Active Shape Model vs. Deep Learning for Facial Emotion Recognition in Security
|
|---|---|
| Chapter number | 1 |
| 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_1 |
| Book ISBNs |
978-3-31-959258-9, 978-3-31-959259-6
|
| Authors |
Monica Bebawy, Suzan Anwar, Mariofanna Milanova, Bebawy, Monica, Anwar, Suzan, Milanova, Mariofanna |
Mendeley readers
The data shown below were compiled from readership statistics for 16 Mendeley readers of this research output. Click here to see the associated Mendeley record.
Geographical breakdown
| Country | Count | As % |
|---|---|---|
| Unknown | 16 | 100% |
Demographic breakdown
| Readers by professional status | Count | As % |
|---|---|---|
| Other | 2 | 13% |
| Researcher | 2 | 13% |
| Student > Postgraduate | 2 | 13% |
| Student > Ph. D. Student | 2 | 13% |
| Lecturer | 1 | 6% |
| Other | 2 | 13% |
| Unknown | 5 | 31% |
| Readers by discipline | Count | As % |
|---|---|---|
| Computer Science | 5 | 31% |
| Engineering | 3 | 19% |
| Mathematics | 1 | 6% |
| Business, Management and Accounting | 1 | 6% |
| Biochemistry, Genetics and Molecular Biology | 1 | 6% |
| Other | 0 | 0% |
| Unknown | 5 | 31% |