Name
Abstract | ||
|---|---|---|
This work introduces a real-time system able to lead humanoid robot behavior depending on the gender of the interacting person. It exploits Aldebaran NAO humanoid robot view capabilities by applying a gender prediction algorithm based on the face analysis. The system can also manage multiple persons at the same time, recognizing if the group is composed by men, women or is a mixed one and, in the latter case, to know the exact number of males and females, customizing its response in each case. The system can allow for applications of human-robot interaction requiring an high level of realism, like rehabilitation or artificial intelligence. |
Year | DOI | Venue |
|---|---|---|
2014 | 10.1007/978-3-319-11973-1_8 | Lecture Notes in Artificial Intelligence |
Keywords | Field | DocType |
human-robot interaction,artificial intelligence,gender recognition | Psychology,Exploit,Artificial intelligence,Human–robot interaction,Face analysis,Humanoid robot | Conference |
Volume | ISSN | Citations |
8755 | 0302-9743 | 2 |
PageRank | References | Authors |
0.38 | 16 | 6 |
Name | Order | Citations | PageRank |
|---|---|---|---|
| Pierluigi Carcagnì | 1 | 31 | 7.19 |
| Dario Cazzato | 2 | 30 | 6.67 |
| Marco Del Coco | 3 | 21 | 5.20 |
| Marco Leo | 4 | 69 | 12.01 |
| Giovanni Pioggia | 5 | 142 | 14.57 |
| Cosimo Distante | 6 | 39 | 3.78 |