Name
Abstract | ||
|---|---|---|
This paper evaluates a set of computational algorithms for the automatic estimation of human postures and gait properties from signals provided by an inertial body sensor. The use of a single sensor device imposes limitations for the automatic estimation of relevant properties, like step length and gait velocity, as well as for the detection of standard postures like sitting or standing. Moreover, the exact location and orientation of the sensor are also a common restriction that is relaxed in this study. |
Year | DOI | Venue |
|---|---|---|
2011 | 10.1016/j.neucom.2011.03.028 | Neurocomputing |
Keywords | DocType | Volume |
Human gait and posture detection,Inertial body sensor,Kernel methods application,Time series analysis | Journal | 74 |
Issue | ISSN | Citations |
16 | 0925-2312 | 6 |
PageRank | References | Authors |
0.57 | 7 | 5 |
Name | Order | Citations | PageRank |
|---|---|---|---|
| Albert Samà | 1 | 211 | 18.28 |
| Cecilio Angulo | 2 | 434 | 57.48 |
| Diego E. Pardo | 3 | 53 | 8.58 |
| Andreu Català | 4 | 234 | 26.75 |
| joan cabestany | 5 | 1276 | 143.82 |