| Article ID | Journal | Published Year | Pages | File Type |
|---|---|---|---|---|
| 485532 | Procedia Computer Science | 2013 | 9 Pages |
Abstract
Nowadays, maintaining at home persons affected by cognitive disorders is a real challenge. Home assistance must allow them to keep a certain level of autonomy at home while not being intrusive. This study presents a non intrusive load appliance load monitoring for supervising simple actions realized by patient in a smart home. Contextual information allow to improve the appliance recognition rate. The experimentation results show that the designed system could provide invaluable information for an assistance application for cooking.
Related Topics
Physical Sciences and Engineering
Computer Science
Computer Science (General)
