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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...
Autores principales: | , , , , , |
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Formato: | Online Artículo Texto |
Lenguaje: | English |
Publicado: |
MDPI
2020
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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. |
format | Online Article Text |
id | pubmed-7038402 |
institution | National Center for Biotechnology Information |
language | English |
publishDate | 2020 |
publisher | MDPI |
record_format | MEDLINE/PubMed |
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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