Noninvasive Bluetooth Monitoring of Visitors' Length of Stay at the Louvre

Yoshimura, Yuji; Krebs, Anne; Ratti, Carlo

doi:10.1109/mprv.2017.33

Cited by 35 publications

(26 citation statements)

References 11 publications

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“…When it comes to smart museums, there are a few recent approaches that try to increase interaction and provide analytics regarding visitors' retention time [37]- [39]. In [40], a framework that allows for self-aware exhibits positioned close to each other to cooperate and work together, to produce selforganized exhibitions is proposed.…”

Section: Related Workmentioning

confidence: 99%

BLE Beacons for Indoor Positioning at an Interactive IoT-Based Smart Museum

Spachos

Plataniotis

2020

IEEE Systems Journal

177

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The Internet of Things (IoT) can enable smart infrastructures to provide advanced services to the users. New technological advancement can improve our everyday life, even simple tasks as a visit to the museum. In this paper, an indoor localization system is presented, to enhance the user experience in a museum. In particular, the proposed system relies on Bluetooth Low Energy (BLE) beacons proximity and localization capabilities to automatically provide the users with cultural contents related to the observed artworks. At the same time, an RSS-based technique is used to estimate the location of the visitor in the museum. An Android application is developed to estimate the distance from the exhibits and collect useful analytics regarding each visit and provide a recommendation to the users. Moreover, the application implements a simple Kalman filter in the smartphone, without the need of the Cloud, to improve localization precision and accuracy. Experimental results on distance estimation, location, and detection accuracy show that BLE beacon is a promising solution for an interactive smart museum. The proposed system has been designed to be easily extensible to the IoT technologies and its effectiveness has been evaluated through experimentation.

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Section: Related Workmentioning

confidence: 99%

BLE Beacons for Indoor Positioning at an Interactive IoT-Based Smart Museum

Spachos

Plataniotis

2020

IEEE Systems Journal

177

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“…This makes use of visitors' digital footprints or "data exhaust" (Mayer-Schönberger and Cukier, 2013, p. 113). This technique has been used to collect pedestrians' sequential movements outdoors (Eagle and Pentland, 2005;Paulos and Goodman, 2004;Kostakos et al, 2010;Versichele et al, 2010) as well as indoors (Delafontaine et al, 2012;Yoshimura et al, 2014Yoshimura et al, , 2017). The detection system works as follows: When Bluetooth activated mobile devices enter a sensor's detection range, the sensor keeps detecting their presence until they exit.…”

Section: Data Collectionmentioning

confidence: 99%

Analysis of visitors’ mobility patterns through random walk in the Louvre Museum

Yoshimura

Sinatra

Krebs³

et al. 2019

J Ambient Intell Human Comput

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This paper proposes a random walk model to analyze visitors' mobility patterns in a large museum. Visitors' available time makes their visiting styles different, resulting in dissimilarity in the order and number of visited places and in path sequence length. We analyze all this by comparing a simulation model and observed data, which provide us the strength of the visitors' mobility patterns. The obtained results indicate that shorter stay-type visitors exhibit stronger patterns than those with the longer stay-type, confirming that the former are more selective than the latter in terms of their visitation type.

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“…Generally speaking, urban data refers to data that originates from a city [37][38][39]. Some common examples are population demographics [40], vehicle trips [41] and visitor data [42].…”

Section: Urban Data and Analysismentioning

confidence: 99%

“…Urban analysis is the study of the different aspects of a city using related data [37,39,41,[46][47][48][49]. Whether it is crowdsourced or publicly available data, it can be used in a wide range of applications such as for city planning [40,50], trips and traffic tracking [36,42,43], urban activities monitoring [38,45] and development intensity detection [44].…”

Section: Urban Data and Analysismentioning

confidence: 99%

“…Another approach to obtain urban data is through controlled environments like using Bluetooth sensors deployed around studied areas as performed by [42,46]. Other examples include using Wi-Fi probe to observe visitor counts in [40], issuing phones with specialized logging software in [47,48] and tracking of a number of mobile phone users in [49].…”

Section: Urban Datamentioning

confidence: 99%

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Using social media data for urban analysis in Singapore

Koh¹

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Effective land use planning is essential for countries where land is scarce. In Singapore, land use planning is managed by the Urban Redevelopment Authority (URA). A revised land use plan is released by the URA every four to five years with the goal to create self-sufficient neighbourhoods and reduce commute time between places. Identifying identical land zones can assist city planners to draft out similar development objectives, reducing the time required to produce the land use plan. For business owners, identifying similar land zones can allow them to find the next potential area of expansion that fits their first success case. This work provides an analysis and a framework to the problem of similar urban region query. In particular, the analysis and the proposed query framework investigate the use of urban and social media data to find regions that are topically consistent and exhibits similar demographics. To achieve this, an Urban Region Similarity Analysis System (URSAS) is developed. This work shows that social media data can help to improve the quality of the query result as opposed to only considering urban information. Additionally, this work shows that the proposed query framework can recognize the type of function for a given zone based on urban and social media data.

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Noninvasive Bluetooth Monitoring of Visitors' Length of Stay at the Louvre

Cited by 35 publications

References 11 publications

BLE Beacons for Indoor Positioning at an Interactive IoT-Based Smart Museum

BLE Beacons for Indoor Positioning at an Interactive IoT-Based Smart Museum

Analysis of visitors’ mobility patterns through random walk in the Louvre Museum

Using social media data for urban analysis in Singapore

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