http://www.cnr.it/ontology/cnr/individuo/prodotto/ID293691
Real-Time Gender Based Behavior System for Human-Robot Interaction (Contributo in atti di convegno)
- Type
- Label
- Real-Time Gender Based Behavior System for Human-Robot Interaction (Contributo in atti di convegno) (literal)
- Anno
- 2014-01-01T00:00:00+01:00 (literal)
- Http://www.cnr.it/ontology/cnr/pubblicazioni.owl#doi
- 10.1007/978-3-319-11973-1_8 (literal)
- Alternative label
Carcagni, Pierluigi; Cazzato, Dario; Del Coco, Marco; Leo, Marco; Pioggia, Giovanni; Distante, Cosimo (2014)
Real-Time Gender Based Behavior System for Human-Robot Interaction
in 6th International Conference on Social Robotics ICSR 2014, Sydney, NSW, Australia, October 27-29, 2014
(literal)
- Http://www.cnr.it/ontology/cnr/pubblicazioni.owl#autori
- Carcagni, Pierluigi; Cazzato, Dario; Del Coco, Marco; Leo, Marco; Pioggia, Giovanni; Distante, Cosimo (literal)
- Pagina inizio
- Pagina fine
- Http://www.cnr.it/ontology/cnr/pubblicazioni.owl#url
- http://www.scopus.com/inward/record.url?eid=2-s2.0-84910018775&partnerID=q2rCbXpz (literal)
- Http://www.cnr.it/ontology/cnr/pubblicazioni.owl#titoloVolume
- Social Robotics : 6th International Conference, ICSR 2014, Sydney, NSW, Australia, October 27-29, 2014. Proceedings (literal)
- Http://www.cnr.it/ontology/cnr/pubblicazioni.owl#volumeInCollana
- Http://www.cnr.it/ontology/cnr/pubblicazioni.owl#pagineTotali
- Note
- Scopu (literal)
- ISI Web of Science (WOS) (literal)
- Http://www.cnr.it/ontology/cnr/pubblicazioni.owl#affiliazioni
- National Research Council of Italy, Institute of Optics, Arnesano, LE, Italy; Institute of Clinical Physiology of CNR, Pervasive Healthcare Center, Messina, Italy (literal)
- Titolo
- Real-Time Gender Based Behavior System for Human-Robot Interaction (literal)
- Http://www.cnr.it/ontology/cnr/pubblicazioni.owl#isbn
- 978-3-319-11972-4 (literal)
- Http://www.cnr.it/ontology/cnr/pubblicazioni.owl#curatoriVolume
- Michael Beetz; Benjamin Johnston; Mary-Anne Williams (literal)
- 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. (literal)
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- Autore CNR
- Insieme di parole chiave
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