Name
Abstract | ||
|---|---|---|
The progress in the field of inertial sensor technology and the widespread popularity of personal electronics such as smartwatches or smartphones have prompted the research on wearable Fall Detection Systems (FDSs). In spite of the extensive literature on FDSs, an open issue is the definition of a common framework that allows a methodical and agreed evaluation of fall detection policies. In this regard, a key aspect is the lack of a public repository of movement datasets that can be employed by the researchers as a common reference to compare and assess their proposals. |
Year | DOI | Venue |
|---|---|---|
2017 | 10.1016/j.procs.2017.06.110 | Procedia Computer Science |
Keywords | Field | DocType |
Fall detection systems,accelerometer,gyroscope,smartphone,dataset,wearable,sensors | Data mining,Accelerometer,Computer science,Wearable computer,Popularity,Testbed,Emulation,Artificial intelligence,Smartwatch,Machine learning,Wearable sensing | Conference |
Volume | ISSN | Citations |
110 | 1877-0509 | 11 |
PageRank | References | Authors |
0.61 | 12 | 3 |
Name | Order | Citations | PageRank |
|---|---|---|---|
| E. Casilari | 1 | 105 | 12.49 |
| Jose A. Santoyo-Ramón | 2 | 15 | 1.07 |
| José-Manuel Cano | 3 | 44 | 7.56 |