Name
Abstract | ||
|---|---|---|
In this work, the authors combine the field of cloud computing with assisted living to improve activity classification. The proposed system addresses the challenge of enabling heterogeneous, cloud-based sensors in domestic environments. With a semantic and model-based approach, the authors seamlessly integrate web services as virtual sensors and, therefore, increasing the accuracy of human activity classifiers. They solve the most important compelling issue of interoperability, by using generated wrapper classes and semantically unify all heterogeneous sensor events within the system. Their approach is evaluated with a test installation by means of the requirements for Sensor Web Infrastructures combined with the one for assisted living environments. |
Year | DOI | Venue |
|---|---|---|
2014 | 10.4018/ijoci.2014100101 | International Journal of Organizational and Collective Intelligence |
Field | DocType | Volume |
Data mining,World Wide Web,Activity classification,Computer science,Interoperability,Primitive wrapper class,Virtual sensors,Web service,Multimedia,Sensor web,Cloud computing | Journal | 4 |
Issue | Citations | PageRank |
4 | 0 | 0.34 |
References | Authors | |
14 | 3 | |
Name | Order | Citations | PageRank |
|---|---|---|---|
| Martin Franke | 1 | 3 | 1.17 |
| Ingo Keller | 2 | 1 | 1.11 |
| Thomas Schlegel | 3 | 1 | 0.77 |