Archaeological data are heterogeneous, making it difficult to correlate and combine different types. Datasheets and pictures, stratigraphic data and 3D models, time and space mixed together: these are only a few of the categories a researcher has to deal with. New technologies may be able to help in this process and trying to solve research related problems needs innovative solutions. In this paper, we describe the whole process for the design and development of a prototype application that uses an Immersive Virtual Reality system to access archaeological excavation3Ddata through the Gesture Variation Follower (GVF) algorithm. This makes it possible to recognize which gesture is being performed and how it is performed. Archaeologist shave participated actively in the design of the interface and the set of gestures used for triggering the different tasks. Interactive machine learning techniques have been used for the real time detection of the gestures. As a case study the agora of Segesta (Sicily, Italy) has been selected. Indeed, due to the complex architectural features and the still ongoing fieldwork activities, Segesta represents an ideal context where to test and develop a research approach integrating both traditional and more innovative tools and methods.

Designing Natural Gesture Interaction for Archaeological Data in Immersive Environments

TACCOLA, EMANUELE
2017-01-01

Abstract

Archaeological data are heterogeneous, making it difficult to correlate and combine different types. Datasheets and pictures, stratigraphic data and 3D models, time and space mixed together: these are only a few of the categories a researcher has to deal with. New technologies may be able to help in this process and trying to solve research related problems needs innovative solutions. In this paper, we describe the whole process for the design and development of a prototype application that uses an Immersive Virtual Reality system to access archaeological excavation3Ddata through the Gesture Variation Follower (GVF) algorithm. This makes it possible to recognize which gesture is being performed and how it is performed. Archaeologist shave participated actively in the design of the interface and the set of gestures used for triggering the different tasks. Interactive machine learning techniques have been used for the real time detection of the gestures. As a case study the agora of Segesta (Sicily, Italy) has been selected. Indeed, due to the complex architectural features and the still ongoing fieldwork activities, Segesta represents an ideal context where to test and develop a research approach integrating both traditional and more innovative tools and methods.
2017
Niccolò, Albertini; Andrea, Brogni; Baptiste, Caramiaux; Marco, Gillies; Riccardo, Olivito; Taccola, Emanuele
File in questo prodotto:
File Dimensione Formato  
Virtual archaeology review.pdf

accesso aperto

Tipologia: Versione finale editoriale
Licenza: Creative commons
Dimensione 537.87 kB
Formato Adobe PDF
537.87 kB Adobe PDF Visualizza/Apri

I documenti in IRIS sono protetti da copyright e tutti i diritti sono riservati, salvo diversa indicazione.

Utilizza questo identificativo per citare o creare un link a questo documento: https://hdl.handle.net/11568/857694
Citazioni
  • ???jsp.display-item.citation.pmc??? ND
  • Scopus 7
  • ???jsp.display-item.citation.isi??? 7
social impact