Next Article in Journal
Interactive Spatiotemporal Analysis of Oil Spills Using Comap in North Dakota
Previous Article in Journal
Developing a Model of Distributed Sensemaking: A Case Study of Military Analysis
Article Menu

Export Article

Open AccessArticle
Informatics 2016, 3(2), 3; doi:10.3390/informatics3020003

Enabling Virtual Sensing as a Service

1,2
,
1,2
and
1,2,*
1
Department of Computing, Imperial College London, London SW7 2AZ, UK
2
Data Science Institute, Imperial College London, London SW7 2AZ, UK
*
Author to whom correspondence should be addressed.
Academic Editor: Kirk D. Borne
Received: 12 January 2016 / Revised: 9 March 2016 / Accepted: 22 March 2016 / Published: 29 March 2016
(This article belongs to the Special Issue Big Data and Analytics for Healthcare)
View Full-Text   |   Download PDF [2922 KB, uploaded 29 March 2016]   |  

Abstract

In many situations, placing a physical sensor in the ideal position in or on the human body to acquire sensing data is incredibly difficult. Virtual sensors, in contrast to physical sensors, can provide indirect measurements by making use of other available sensor data. In this paper, we demonstrate a virtual sensing application developed as a service on top of a cloud-based health sensor data management platform called Wiki-Health. The proposed application “implants” virtual sensors in the human body by integrating environmental, geographic and personal sensor data with physiological models to compute temperature estimations of various parts of the body. The feasibility of the proposed virtual sensing service is supported by a case study. The ability to share computational models relevant to do calculations on measured data on the go is also discussed. View Full-Text
Keywords: Wiki-Health; virtual sensors; virtual sensing; big data; model integration Wiki-Health; virtual sensors; virtual sensing; big data; model integration
Figures

Figure 1

This is an open access article distributed under the Creative Commons Attribution License which permits unrestricted use, distribution, and reproduction in any medium, provided the original work is properly cited. (CC BY 4.0).

Scifeed alert for new publications

Never miss any articles matching your research from any publisher
  • Get alerts for new papers matching your research
  • Find out the new papers from selected authors
  • Updated daily for 49'000+ journals and 6000+ publishers
  • Define your Scifeed now

SciFeed Share & Cite This Article

MDPI and ACS Style

Li, Y.; Pandis, I.; Guo, Y. Enabling Virtual Sensing as a Service. Informatics 2016, 3, 3.

Show more citation formats Show less citations formats

Note that from the first issue of 2016, MDPI journals use article numbers instead of page numbers. See further details here.

Related Articles

Article Metrics

Article Access Statistics

1

Comments

[Return to top]
Informatics EISSN 2227-9709 Published by MDPI AG, Basel, Switzerland RSS E-Mail Table of Contents Alert
Back to Top