Name
Abstract | ||
|---|---|---|
•Human poses and radio id fusion can create valuable activity recognition datasets.•Vision and radio devices data fusion enable assessing each technology limitation.•Body joints estimated with ToF devices enable radio tracking accuracy improvement.•Radiofrequency tracking errors can be reduced up to 46% through data fusion. |
Year | DOI | Venue |
|---|---|---|
2020 | 10.1016/j.inffus.2020.03.011 | Information Fusion |
Keywords | DocType | Volume |
Radiofrequency tracking,Vision tracking,HPE,RTLS,Sensor fusion,Activity recognition | Journal | 62 |
ISSN | Citations | PageRank |
1566-2535 | 1 | 0.35 |
References | Authors | |
0 | 12 | |
Name | Order | Citations | PageRank |
|---|---|---|---|
| Rodrigo Bazo | 1 | 1 | 1.36 |
| Eduardo Reis | 2 | 1 | 0.35 |
| Lucas Adams Seewald | 3 | 1 | 0.35 |
| Vinicius Facco Rodrigues | 4 | 43 | 9.53 |
| Cristiano A. Costa | 5 | 18 | 1.43 |
| Luiz Gonzaga | 6 | 12 | 9.37 |
| Rodolfo Stoffel Antunes | 7 | 12 | 3.95 |
| Rodrigo da Rosa Righi | 8 | 138 | 27.82 |
| Andreas K. Maier | 9 | 560 | 178.76 |
| Björn Eskofier | 10 | 1 | 0.35 |
| Rebecca Fahrig | 11 | 104 | 31.90 |
| Tim Horz | 12 | 1 | 1.02 |