Mobile Museum Visitors Guide based on an Indoor Localization System using Deep Learning-based Image Recognition

Bashar Egbariya; Tsvi Kuflik; Ilan Shimshoni

Mobile Museum Visitors Guide based on an Indoor Localization System using Deep Learning-based Image Recognition

Bashar Egbariya, Tsvi Kuflik, Ilan Shimshoni

Department of Information Systems

Research output: Contribution to journal › Conference article › peer-review

Abstract

Indoor positioning was and still is a challenge for museum visitors’ guide systems aiming at providing context aware and personalized services to their users. There are trivial solutions that require either explicit user actions or the installation of indoors positioning system in the museum. We propose a simple and easy to implement alternatives that is based on image-based positioning.

Original language	English
Journal	CEUR Workshop Proceedings
Volume	3798
State	Published - 2024
Event	2024 Workshop on Advanced Visual Interfaces and Interactions in Cultural Heritage, AVICH 2024 - Genoa, Italy Duration: 4 Jun 2024 → 7 Jun 2024

Bibliographical note

Publisher Copyright:
© 2024 Copyright for this paper by its authors.

Keywords

image-based indoor positioning
indoor positioning
indoor positioning in cultural heritage

ASJC Scopus subject areas

General Computer Science

Cite this

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title = "Mobile Museum Visitors Guide based on an Indoor Localization System using Deep Learning-based Image Recognition",

abstract = "Indoor positioning was and still is a challenge for museum visitors{\textquoteright} guide systems aiming at providing context aware and personalized services to their users. There are trivial solutions that require either explicit user actions or the installation of indoors positioning system in the museum. We propose a simple and easy to implement alternatives that is based on image-based positioning.",

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author = "Bashar Egbariya and Tsvi Kuflik and Ilan Shimshoni",

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journal = "CEUR Workshop Proceedings",

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AU - Egbariya, Bashar

AU - Kuflik, Tsvi

AU - Shimshoni, Ilan

PY - 2024

Y1 - 2024

N2 - Indoor positioning was and still is a challenge for museum visitors’ guide systems aiming at providing context aware and personalized services to their users. There are trivial solutions that require either explicit user actions or the installation of indoors positioning system in the museum. We propose a simple and easy to implement alternatives that is based on image-based positioning.

AB - Indoor positioning was and still is a challenge for museum visitors’ guide systems aiming at providing context aware and personalized services to their users. There are trivial solutions that require either explicit user actions or the installation of indoors positioning system in the museum. We propose a simple and easy to implement alternatives that is based on image-based positioning.

KW - image-based indoor positioning

KW - indoor positioning

KW - indoor positioning in cultural heritage

UR - http://www.scopus.com/inward/record.url?scp=85208794465&partnerID=8YFLogxK

M3 - Conference article

AN - SCOPUS:85208794465

SN - 1613-0073

VL - 3798

JO - CEUR Workshop Proceedings

JF - CEUR Workshop Proceedings

T2 - 2024 Workshop on Advanced Visual Interfaces and Interactions in Cultural Heritage, AVICH 2024

Y2 - 4 June 2024 through 7 June 2024

ER -

Mobile Museum Visitors Guide based on an Indoor Localization System using Deep Learning-based Image Recognition

Abstract

Bibliographical note

Keywords

ASJC Scopus subject areas

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