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Automatic Museum Audio Guide

Visilab (Vision and Artificial Intelligence Group), University of Castilla-La Mancha (UCLM), E.T.S.I. Industrial, Avda Camilo Jose Cela s/n, 13071 Ciudad Real, Spain
DFKI (Deutsches Forschungszentrum für Künstliche Intelligenz), Augmented Vision Research Group, Tripstaddterstr. 122, 67663 Kaiserslautern, Germany
Fluxguide, Burggasse 7-9/9, 1070 Vienna, Austria
Authors to whom correspondence should be addressed.
Sensors 2020, 20(3), 779;
Received: 22 November 2019 / Revised: 24 January 2020 / Accepted: 29 January 2020 / Published: 31 January 2020
(This article belongs to the Special Issue Applications and Innovations on Sensor-Enabled Wearable Devices)
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. View Full-Text
Keywords: internet of things (IoT); computer vision; automatic audioguide; artificial intelligence; systems on chip (SoC) internet of things (IoT); computer vision; automatic audioguide; artificial intelligence; systems on chip (SoC)
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MDPI and ACS Style

Vallez, N.; Krauss, S.; Espinosa-Aranda, J.L.; Pagani, A.; Seirafi, K.; Deniz, O. Automatic Museum Audio Guide. Sensors 2020, 20, 779.

AMA Style

Vallez N, Krauss S, Espinosa-Aranda JL, Pagani A, Seirafi K, Deniz O. Automatic Museum Audio Guide. Sensors. 2020; 20(3):779.

Chicago/Turabian Style

Vallez, Noelia, Stephan Krauss, Jose Luis Espinosa-Aranda, Alain Pagani, Kasra Seirafi, and Oscar Deniz. 2020. "Automatic Museum Audio Guide" Sensors 20, no. 3: 779.

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