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Article
A location-based ubiquitous crowdsourcing approach for the emergency supply of oxygen cylinders
Personal and Ubiquitous Computing
  • May El Barachi, University of Wollongong in Dubai
  • Faouzi Kamoun, Esprit School of Engineering
  • Abderrazek Hachani, Esprit School of Engineering
  • Fatna Belqasmi, Zayed University
  • Amir Ben Said, Esprit School of Engineering
  • Imed Amri, Esprit School of Engineering
Document Type
Article
Publication Date
1-1-2020
Abstract

© 2020, Springer-Verlag London Ltd., part of Springer Nature. Many people with chronic obstructive pulmonary diseases (COPD) are subjected to emergencies triggered by breathing difficulties. Oxygen therapy, administered from medical oxygen cylinders, can be used to relieve respiratory airways, and restore the supply of oxygen to the body’s vital organs. In this paper, we present a location-based ubiquitous crowdsourcing solution to enable COPD patients to request an emergency supply of oxygen cylinders. At the heart of the solution is a trusted platform that acts as a mediator for the ambient social interaction among a virtual and socially engaged community of requestors and suppliers. The geo-temporal data generated by this social interaction can be analyzed to uncover meaningful ambient environmental patterns. Our approach also uses image processing and computer vision techniques to help validate crowd responses. We discuss the details of the human-centric computer interaction design and its key features. We also elaborate on the challenges faced in the design and development of the solution and summarize the actions taken to address them.

Publisher
Springer Science and Business Media Deutschland GmbH
Keywords
  • Ambient social interaction,
  • Computer vision,
  • Crisis management,
  • Crowdsourcing,
  • Healthcare information systems,
  • Human-computer interaction,
  • Ubiquitous mobile sensing
Scopus ID
85092137422
Indexed in Scopus
Yes
Open Access
No
https://doi.org/10.1007/s00779-020-01469-1
Citation Information
May El Barachi, Faouzi Kamoun, Abderrazek Hachani, Fatna Belqasmi, et al.. "A location-based ubiquitous crowdsourcing approach for the emergency supply of oxygen cylinders" Personal and Ubiquitous Computing (2020) - 12 ISSN: <a href="https://v2.sherpa.ac.uk/id/publication/issn/1617-4909" target="_blank">1617-4909</a>
Available at: http://works.bepress.com/fatna-belqasmi/19/