A Location-Aware Architecture for an IoT-Based Smart Museum

Author:

Del Fiore Giuseppe1,Mainetti Luca1,Mighali Vincenzo1,Patrono Luigi1,Alletto Stefano2,Cucchiara Rita2,Serra Giuseppe2

Affiliation:

1. University of Salento, Italy

2. University of Modena and Reggio Emilia, Italy

Abstract

The Internet of Things, whose main goal is to automatically predict users' desires, can find very interesting opportunities in the art and culture field, as the tourism is one of the main driving engines of the modern society. Currently, the innovation process in this field is growing at a slower pace, so the cultural heritage is a prerogative of a restricted category of users. To address this issue, a significant technological improvement is necessary in the culture-dedicated locations, which do not usually allow the installation of hardware infrastructures. In this paper, we design and validate a no-invasive indoor location-aware architecture able to enhance the user experience in a museum. The system relies on the user's smartphone and a wearable device (with image recognition and localization capabilities) to automatically deliver personalized cultural contents related to the observed artworks. The proposal was validated in the MUST museum in Lecce (Italy).

Publisher

IGI Global

Reference39 articles.

1. Workload Model Based Dynamic Adaptation of Social Internet of Vehicles

2. Alexandre, A., Ortiz, R., & Vandergheynst, P. (2012). Freak: Fast retina keypoint. Proceedings of the IEEE Conference on Computer Vision and Pattern Recognition (CVPR). IEEE.

3. Anthopoulos, L. (2015, September). Defining Smart City Architecture for Sustainability. Proceedings of the 14th IFIP Electronic Government (EGOV) and 7th Electronic Participation (ePart) Conference, Thessaloniki, Greece.

4. Anthopoulos L. G., Gemma P., Fathy R. A., & Sang Z. (2015). Setting the framework for an ICT architecture of a smart sustainable city. International Telecommunication Union, Focus Group On Smart Sustainable Cities: Technical Specifications.

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