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 |
Radar-Based Fall Detection Using Deep Machine Learning: System Configuration and Performance
|
---|---|
Chapter number | 33 |
Book title |
Sensors and Microsystems
|
Published by |
Springer, Cham, February 2017
|
DOI | 10.1007/978-3-319-66802-4_33 |
Book ISBNs |
978-3-31-966801-7, 978-3-31-966802-4
|
Authors |
Giovanni Diraco, Alessandro Leone, Pietro Siciliano, Diraco, Giovanni, Leone, Alessandro, Siciliano, Pietro |
Mendeley readers
The data shown below were compiled from readership statistics for 17 Mendeley readers of this research output. Click here to see the associated Mendeley record.
Geographical breakdown
Country | Count | As % |
---|---|---|
Unknown | 17 | 100% |
Demographic breakdown
Readers by professional status | Count | As % |
---|---|---|
Student > Doctoral Student | 3 | 18% |
Student > Ph. D. Student | 2 | 12% |
Unspecified | 2 | 12% |
Researcher | 2 | 12% |
Student > Master | 2 | 12% |
Other | 0 | 0% |
Unknown | 6 | 35% |
Readers by discipline | Count | As % |
---|---|---|
Computer Science | 4 | 24% |
Unspecified | 2 | 12% |
Nursing and Health Professions | 2 | 12% |
Engineering | 2 | 12% |
Unknown | 7 | 41% |