Name
Abstract | ||
|---|---|---|
Smart mirrors are devices that can display any kind of information and can interact with the user using touch and voice commands. Different kinds of smart mirrors exist: general purpose, medical, fashion, and other task specific ones. General purpose smart mirrors are suitable for home environments but the exiting ones offer similar, limited functionalities. In this paper, we present a general-purpose smart mirror that integrates several functionalities, standard and advanced, to support users in their everyday life. Among the advanced functionalities are the capabilities of detecting a person's emotions, the short- and long-term monitoring and analysis of the emotions, a double authentication protocol to preserve the privacy, and the integration of Alexa Skills to extend the applications of the smart mirrors. We exploit a deep learning technique to develop most of the smart functionalities. The effectiveness of the device is demonstrated by the performances of the implemented functionalities, and the evaluation in terms of its usability with real users. |
Year | DOI | Venue |
|---|---|---|
2021 | 10.3390/s21227453 | SENSORS |
Keywords | DocType | Volume |
smart mirror, affective computing, multimodal interaction, Raspberry Pi, deep learning, internet of things, Amazon Alexa virtual assistant, positive technology | Journal | 21 |
Issue | ISSN | Citations |
22 | 1424-8220 | 0 |
PageRank | References | Authors |
0.34 | 0 | 7 |
Name | Order | Citations | PageRank |
|---|---|---|---|
| Simone Bianco | 1 | 226 | 24.48 |
| Luigi Celona | 2 | 66 | 7.70 |
| Gianluigi Ciocca | 3 | 0 | 0.68 |
| Davide Marelli | 4 | 0 | 0.68 |
| Paolo Napoletano | 5 | 0 | 0.34 |
| Stefano Yu | 6 | 0 | 0.34 |
| Raimondo Schettini | 7 | 2 | 1.06 |