Name
Abstract | ||
|---|---|---|
The automation of smart environment systems is one of the main goals of smart home researching. This paper focus on learning user lighting preference, considering a working field like a standard office. A review of the smart environment and devices setup is done, showing a real configuration for test purposes. Suitable learning machine techniques are exposed in order to learn these preferences, and suggest the actions the smart environment should execute to satisfy the user preferences. Learning machine techniques proposed are fed with a database, so a proposal for the vectorization of data is described and analyzed. |
Year | DOI | Venue |
|---|---|---|
2008 | 10.1007/978-3-540-85563-7_96 | KES (1) |
Keywords | Field | DocType |
smart environment,smart environment vectorization,user preference,smart home,smart environment system,paper focus,main goal,machine technique,user lighting preference,suitable learning machine technique,devices setup,satisfiability | Learning machine,Smart environment,Computer science,Support vector machine,Internet of Things,Vectorization (mathematics),Home automation,Automation,Motion sensors,Multimedia | Conference |
Citations | PageRank | References |
1 | 0.55 | 9 |
Authors | ||
5 | ||
Name | Order | Citations | PageRank |
|---|---|---|---|
| Alejandro Fernández-Montes | 1 | 42 | 8.87 |
| Juan A. Ortega | 2 | 110 | 16.36 |
| Luis González | 3 | 1 | 0.55 |
| Juan A. Álvarez | 4 | 2 | 0.91 |
| Manuel D. Cruz | 5 | 1 | 0.89 |