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Automatic Museum Audio Guide

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 ac...

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Autores principales: Vallez, Noelia, Krauss, Stephan, Espinosa-Aranda, Jose Luis, Pagani, Alain, Seirafi, Kasra, Deniz, Oscar
Formato: Online Artículo Texto
Lenguaje:English
Publicado: MDPI 2020
Materias:
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC7038402/
https://www.ncbi.nlm.nih.gov/pubmed/32023954
http://dx.doi.org/10.3390/s20030779
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author Vallez, Noelia
Krauss, Stephan
Espinosa-Aranda, Jose Luis
Pagani, Alain
Seirafi, Kasra
Deniz, Oscar
author_facet Vallez, Noelia
Krauss, Stephan
Espinosa-Aranda, Jose Luis
Pagani, Alain
Seirafi, Kasra
Deniz, Oscar
author_sort Vallez, Noelia
collection PubMed
description 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.
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spelling pubmed-70384022020-03-09 Automatic Museum Audio Guide Vallez, Noelia Krauss, Stephan Espinosa-Aranda, Jose Luis Pagani, Alain Seirafi, Kasra Deniz, Oscar Sensors (Basel) Article 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. MDPI 2020-01-31 /pmc/articles/PMC7038402/ /pubmed/32023954 http://dx.doi.org/10.3390/s20030779 Text en © 2020 by the authors. Licensee MDPI, Basel, Switzerland. This article is an open access article distributed under the terms and conditions of the Creative Commons Attribution (CC BY) license (http://creativecommons.org/licenses/by/4.0/).
spellingShingle Article
Vallez, Noelia
Krauss, Stephan
Espinosa-Aranda, Jose Luis
Pagani, Alain
Seirafi, Kasra
Deniz, Oscar
Automatic Museum Audio Guide
title Automatic Museum Audio Guide
title_full Automatic Museum Audio Guide
title_fullStr Automatic Museum Audio Guide
title_full_unstemmed Automatic Museum Audio Guide
title_short Automatic Museum Audio Guide
title_sort automatic museum audio guide
topic Article
url https://www.ncbi.nlm.nih.gov/pmc/articles/PMC7038402/
https://www.ncbi.nlm.nih.gov/pubmed/32023954
http://dx.doi.org/10.3390/s20030779
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