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Mendeley readers
| Chapter title |
Wearable Sensors Data-Fusion and Machine-Learning Method for Fall Detection and Activity Recognition
|
|---|---|
| Chapter number | 4 |
| Book title |
Challenges and Trends in Multimodal Fall Detection for Healthcare
|
| Published by |
Springer, Cham, January 2020
|
| DOI | 10.1007/978-3-030-38748-8_4 |
| Book ISBNs |
978-3-03-038747-1, 978-3-03-038748-8
|
| Authors |
Hristijan Gjoreski, Simon Stankoski, Ivana Kiprijanovska, Anastasija Nikolovska, Natasha Mladenovska, Marija Trajanoska, Bojana Velichkovska, Martin Gjoreski, Mitja Luštrek, Matjaž Gams, Gjoreski, Hristijan, Stankoski, Simon, Kiprijanovska, Ivana, Nikolovska, Anastasija, Mladenovska, Natasha, Trajanoska, Marija, Velichkovska, Bojana, Gjoreski, Martin, Luštrek, Mitja, Gams, Matjaž |
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 % |
|---|---|---|
| Researcher | 6 | 23% |
| Student > Ph. D. Student | 5 | 19% |
| Lecturer | 2 | 8% |
| Student > Postgraduate | 2 | 8% |
| Other | 1 | 4% |
| Other | 3 | 12% |
| Unknown | 7 | 27% |
| Readers by discipline | Count | As % |
|---|---|---|
| Computer Science | 7 | 27% |
| Engineering | 3 | 12% |
| Nursing and Health Professions | 2 | 8% |
| Social Sciences | 1 | 4% |
| Energy | 1 | 4% |
| Other | 0 | 0% |
| Unknown | 12 | 46% |