| Title |
Feature selection for driving fatigue characterization and detection using visual- and signal-based sensors
|
|---|---|
| Published in |
Applied Informatics, November 2018
|
| DOI | 10.1186/s40535-018-0054-9 |
| Authors |
Khadidja Henni, Neila Mezghani, Charles Gouin-Vallerand, Perrine Ruer, Youssef Ouakrim, Évelyne Vallières |
Mendeley readers
The data shown below were compiled from readership statistics for 40 Mendeley readers of this research output. Click here to see the associated Mendeley record.
Geographical breakdown
| Country | Count | As % |
|---|---|---|
| Unknown | 40 | 100% |
Demographic breakdown
| Readers by professional status | Count | As % |
|---|---|---|
| Student > Bachelor | 5 | 13% |
| Lecturer | 3 | 8% |
| Student > Ph. D. Student | 3 | 8% |
| Student > Postgraduate | 3 | 8% |
| Student > Master | 3 | 8% |
| Other | 7 | 18% |
| Unknown | 16 | 40% |
| Readers by discipline | Count | As % |
|---|---|---|
| Computer Science | 10 | 25% |
| Engineering | 9 | 23% |
| Unspecified | 2 | 5% |
| Nursing and Health Professions | 1 | 3% |
| Medicine and Dentistry | 1 | 3% |
| Other | 1 | 3% |
| Unknown | 16 | 40% |