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Enabling Virtual Sensing as a Service

1,2, 1,2 and 1,2,*
Department of Computing, Imperial College London, London SW7 2AZ, UK
Data Science Institute, Imperial College London, London SW7 2AZ, UK
Author to whom correspondence should be addressed.
Academic Editor: Kirk D. Borne
Informatics 2016, 3(2), 3;
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)
PDF [2922 KB, uploaded 29 March 2016]


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

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

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