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Goldsmiths - University of London

Designing natural gesture interaction for archaeological data in immersive environments

Albertini, Niccolò; Brogni, Andrea; Olivito, Riccardo; Taccola, Emanuele; Caramiaux, Baptiste and Gillies, Marco. 2017. Designing natural gesture interaction for archaeological data in immersive environments. Virtual Archaeology Review, 8(16), pp. 12-21. [Article]

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Abstract or Description

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 acces archaeological excavation 3D data through the Gesture Variation Follower (GVF) algorithm. This makes it possible to recognise which gesture is being performed and how it is performed. Archaeologists have 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.

Item Type: Article

Identification Number (DOI):

https://doi.org/10.4995/var.2017.5872

Keywords:

cyber-archaeology, gesture recognition, virtual reality (VR)

Departments, Centres and Research Units:

Computing

Dates:

DateEvent
22 September 2016Accepted
22 May 2017Published

Item ID:

20560

Date Deposited:

16 Jun 2017 11:16

Last Modified:

08 Aug 2017 09:46

URI: http://research.gold.ac.uk/id/eprint/20560

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