Semantic matchmaking for kinect-based posture and gesture recognition (Contributo in atti di convegno)

Type
Label
  • Semantic matchmaking for kinect-based posture and gesture recognition (Contributo in atti di convegno) (literal)
Anno
  • 2014-01-01T00:00:00+01:00 (literal)
Http://www.cnr.it/ontology/cnr/pubblicazioni.owl#doi
  • 10.1109/ICSC.2014.28 (literal)
Alternative label
  • Ruta M.; Scioscia F.; Summa M.D.; Ieva S.; Sciascio E.D.; Sacco M. (2014)
    Semantic matchmaking for kinect-based posture and gesture recognition
    in Eighth IEEE International Conference on Semantic Computing (ICSC 2014)
    (literal)
Http://www.cnr.it/ontology/cnr/pubblicazioni.owl#autori
  • Ruta M.; Scioscia F.; Summa M.D.; Ieva S.; Sciascio E.D.; Sacco M. (literal)
Pagina inizio
  • 15 (literal)
Pagina fine
  • 22 (literal)
Http://www.cnr.it/ontology/cnr/pubblicazioni.owl#url
  • http://www.scopus.com/inward/record.url?eid=2-s2.0-84906986145&partnerID=q2rCbXpz (literal)
Note
  • Scopu (literal)
Http://www.cnr.it/ontology/cnr/pubblicazioni.owl#affiliazioni
  • Politecnico di Bari, via Orabona 4, I-70125, Bari, Italy; Politecnico di Bari, via Orabona 4, I-70125, Bari, Italy; Consiglio Nazionale Delle Ricerche, via Lembo 38F, I-70124, Bari, Italy; Politecnico di Bari, via Orabona 4, I-70125, Bari, Italy; Politecnico di Bari, via Orabona 4, I-70125, Bari, Italy; Consiglio Nazionale Delle Ricerche, via Bassini 15, I-20133, Milan, Italy (literal)
Titolo
  • Semantic matchmaking for kinect-based posture and gesture recognition (literal)
Abstract
  • Innovative analysis methods applied to data extracted by off-the-shelf peripherals can provide useful results in activity recognition without requiring large computational resources. In this paper a framework is proposed for automated posture and gesture recognition, exploiting depth data provided by a commercial tracking device. The detection problem is handled as a semantic-based resource discovery. A general data model and the corresponding ontology provide the formal underpinning for automatic posture and gesture annotation via standard Semantic Web languages. Hence, a logic-based matchmaking, exploiting non-standard inference services, allows to: (i) detect postures via on-the-fly comparison of the retrieved annotations with standard posture descriptions stored as instances of a proper Knowledge Base, (ii) compare subsequent postures in order to recognize gestures. The framework has been implemented in a prototypical tool and experimental tests have been carried out on a reference dataset. Preliminary results indicate the feasibility of the proposed approach. © 2014 IEEE. (literal)
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