A Novel of Mobile Commerce and Information Notice System for Local Festival Content Activation based on Location Information

Jung, Se Hoon; Park, Sun Min; Sim, Chun Bo

doi:10.9717/kmms.2015.18.6.780

Cited by 3 publications

(2 citation statements)

References 1 publication

Supporting

Mentioning

Contrasting

Order By: Relevance

“…We tested and validated our approach in a long-term deployment in the ward of a public teaching hospital with 7 operating theaters. Previous works have looked at gathering insights from indoor localization systems in different settings: music festivals [7], museums and galleries [8], and clinical environments [9]. However, these works do not provide a long-term analysis, focusing instead on single-time events or short-term data collection.…”

Section: Contributionmentioning

confidence: 99%

“…Perhaps one unique aspect of our work is our decision to use an inverted deployment, whereby Bluetooth tags were given to people, and phones were glued to the wall. Typically, the opposite occurs; for example, in music festivals [7] or museums and galleries [8], Bluetooth tags are installed near items of interest while people carry phones that display information for nearby items. Our decision meant that there was minimal disruption to staff and patients, who had to simply carry a light Bluetooth tag.…”

Section: Localization Technologies and Representationsmentioning

confidence: 99%

See 1 more Smart Citation

Measuring Mobility and Room Occupancy in Clinical Settings: System Development and Implementation

Marini¹,

Tag²,

Gonçalves³

et al. 2020

JMIR Mhealth Uhealth

View full text Add to dashboard Cite

Background The use of location-based data in clinical settings is often limited to real-time monitoring. In this study, we aim to develop a proximity-based localization system and show how its longitudinal deployment can provide operational insights related to staff and patients' mobility and room occupancy in clinical settings. Such a streamlined data-driven approach can help in increasing the uptime of operating rooms and more broadly provide an improved understanding of facility utilization. Objective The aim of this study is to measure the accuracy of the system and algorithmically calculate measures of mobility and occupancy. Methods We developed a Bluetooth low energy, proximity-based localization system and deployed it in a hospital for 30 days. The system recorded the position of 75 people (17 patients and 55 staff) during this period. In addition, we collected ground-truth data and used them to validate system performance and accuracy. A number of analyses were conducted to estimate how people move in the hospital and where they spend their time. Results Using ground-truth data, we estimated the accuracy of our system to be 96%. Using mobility trace analysis, we generated occupancy rates for different rooms in the hospital occupied by both staff and patients. We were also able to measure how much time, on average, patients spend in different rooms of the hospital. Finally, using unsupervised hierarchical clustering, we showed that the system could differentiate between staff and patients without training. Conclusions Analysis of longitudinal, location-based data can offer rich operational insights into hospital efficiency. In particular, they allow quick and consistent assessment of new strategies and protocols and provide a quantitative way to measure their effectiveness.

show abstract

Section: Contributionmentioning

confidence: 99%

Section: Localization Technologies and Representationsmentioning

confidence: 99%

Measuring Mobility and Room Occupancy in Clinical Settings: System Development and Implementation

Marini¹,

Tag²,

Gonçalves³

et al. 2020

JMIR Mhealth Uhealth

View full text Add to dashboard Cite

show abstract

Measuring Mobility and Room Occupancy in Clinical Settings: System Development and Implementation (Preprint)

Marini¹,

Tag²,

Gonçalves³

et al. 2020

Preprint

View full text Add to dashboard Cite

BACKGROUND The use of location-based data in clinical settings is often limited to real-time monitoring. Here we develop a proximity-based localisation system, and show how its longitudinal analysis can provide operational insights relating to mobility and occupancy in clinical settings. OBJECTIVE We measure the accuracy of the system, and algorithmically calculate measures of mobility and occupancy. METHODS We developed a Bluetooth Low Energy proximity-based localisation system, and deployed it in a hospital for 30 days. The system recorded the position of 75 people (17 patients and 55 staff) during this period. We additionally collected ground-truth data, and used it to validate system performance and accuracy. We conducted a number of analyses to estimate how people move in the hospital, and where they spend their time. RESULTS Using ground truth data, we estimated our system’s accuracy to be 96%. Using mobility trace analysis, we generated occupancy rates for different rooms of the hospital, by both staff and patients. We were also able to measure how much time, on average, patients spend in different rooms of the hospital. Finally, using unsupervised hierarchical clustering we showed that the system can differentiate between staff and patients without training. CONCLUSIONS Analysis of longitudinal location-based data can offer rich operational insights to hospitals. Pri- marily, they allow for quick and consistent assessment of new strategies and protocols, and provide a quantitative way to measure their effectiveness.

show abstract

The Vibration Bell System Development Using NFC Tag and Smart Phone

Lim¹,

Lim²

2015

Journal of Korea Multimedia Society

View full text Add to dashboard Cite

A Novel of Mobile Commerce and Information Notice System for Local Festival Content Activation based on Location Information

Cited by 3 publications

References 1 publication

Measuring Mobility and Room Occupancy in Clinical Settings: System Development and Implementation

Measuring Mobility and Room Occupancy in Clinical Settings: System Development and Implementation

Measuring Mobility and Room Occupancy in Clinical Settings: System Development and Implementation (Preprint)

The Vibration Bell System Development Using NFC Tag and Smart Phone

Contact Info

Product

Resources

About