Name
Abstract | ||
|---|---|---|
The rapid aging of the world's population is driving the development of pervasive solutions for elder care. These solutions, which often involve fall detection with accelerometers, are accurate in laboratory conditions but can fail in some real-life situations. To overcome this, the authors present the Confidence system, which detects falls mainly with location sensors. A user wears one to four ta... |
Year | DOI | Venue |
|---|---|---|
2015 | 10.1109/MPRV.2015.84 | IEEE Pervasive Computing |
Keywords | Field | DocType |
Accelerometers,Sensors,Context modeling,Senior citizens,Population growth,Aging | Population,Computer science,Simulation,Accelerometer,Wearable computer,Lying,Real-time computing,Human–computer interaction,Ubiquitous computing,Elder care | Journal |
Volume | Issue | ISSN |
14 | 4 | 1536-1268 |
Citations | PageRank | References |
3 | 0.42 | 6 |
Authors | ||
7 | ||
Name | Order | Citations | PageRank |
|---|---|---|---|
| Mitja Luštrek | 1 | 410 | 54.52 |
| Hristijan Gjoreski | 2 | 268 | 29.81 |
| Narciso González Vega | 3 | 3 | 0.76 |
| Simon Kozina | 4 | 56 | 4.97 |
| Bozidara Cvetkovic | 5 | 62 | 11.41 |
| Violeta Mirchevska | 6 | 44 | 6.60 |
| Matjaz Gams | 7 | 536 | 80.90 |