Article ID | Journal | Published Year | Pages | File Type |
---|---|---|---|---|
6853427 | Artificial Intelligence in Medicine | 2016 | 18 Pages |
Abstract
We have fully implemented the system and evaluated it using real datasets, partly generated by performing activities in a smart home laboratory, and partly acquired during several months of monitoring of the instrumented home of a senior diagnosed with MCI. Experimental results, including comparisons with other activity recognition techniques, show the effectiveness of SmartFABER in terms of recognition rates.
Keywords
Related Topics
Physical Sciences and Engineering
Computer Science
Artificial Intelligence
Authors
Daniele Riboni, Claudio Bettini, Gabriele Civitarese, Zaffar Haider Janjua, Rim Helaoui,