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Automatic Museum Audio Guide.

Authors :
Vallez, Noelia
Krauss, Stephan
Espinosa-Aranda, Jose Luis
Pagani, Alain
Seirafi, Kasra
Deniz, Oscar
Source :
Sensors (14248220). Feb2020, Vol. 20 Issue 3, p779-779. 1p.
Publication Year :
2020

Abstract

An automatic "museum audio guide" is presented as a new type of audio guide for museums. The device consists of a headset equipped with a camera that captures exhibit pictures and the eyes of things computer vision device (EoT). The EoT board is capable of recognizing artworks using features from accelerated segment test (FAST) keypoints and a random forest classifier, and is able to be used for an entire day without the need to recharge the batteries. In addition, an application logic has been implemented, which allows for a special highly-efficient behavior upon recognition of the painting. Two different use case scenarios have been implemented. The main testing was performed with a piloting phase in a real world museum. Results show that the system keeps its promises regarding its main benefit, which is simplicity of use and the user's preference of the proposed system over traditional audioguides. [ABSTRACT FROM AUTHOR]

Details

Language :
English
ISSN :
14248220
Volume :
20
Issue :
3
Database :
Academic Search Index
Journal :
Sensors (14248220)
Publication Type :
Academic Journal
Accession number :
141759061
Full Text :
https://doi.org/10.3390/s20030779