| Title |
Estimating Biomechanical Time-Series with Wearable Sensors: A Systematic Review of Machine Learning Techniques
|
|---|---|
| Published in |
Sensors, November 2019
|
| DOI | 10.3390/s19235227 |
| Pubmed ID | |
| Authors |
Reed D. Gurchiek, Nick Cheney, Ryan S. McGinnis |
Mendeley readers
The data shown below were compiled from readership statistics for 127 Mendeley readers of this research output. Click here to see the associated Mendeley record.
Geographical breakdown
| Country | Count | As % |
|---|---|---|
| Unknown | 127 | 100% |
Demographic breakdown
| Readers by professional status | Count | As % |
|---|---|---|
| Student > Ph. D. Student | 23 | 18% |
| Student > Master | 20 | 16% |
| Researcher | 11 | 9% |
| Student > Doctoral Student | 9 | 7% |
| Other | 9 | 7% |
| Other | 18 | 14% |
| Unknown | 37 | 29% |
| Readers by discipline | Count | As % |
|---|---|---|
| Engineering | 42 | 33% |
| Computer Science | 9 | 7% |
| Medicine and Dentistry | 6 | 5% |
| Sports and Recreations | 4 | 3% |
| Unspecified | 4 | 3% |
| Other | 16 | 13% |
| Unknown | 46 | 36% |