A lightweight Web of Things Open Platform to facilitate context data management and personalized healthcare services creation.
In the last few years, many health monitoring systems have been designed to fullfil the needs of a large range of scenarios. Although many of those systems provide good ad hoc solutions, most of them lack of mechanisms that allow them to be easily reused. This paper is focused on describing an open platform, the micro Web of Things Open Platform (µWoTOP), which has been conceived to improve the connectivity and reusability of context data to deliver different kinds of health, wellness and ambient home care services. µWoTOP is based on a resource-oriented architecture which may be embedded in mobile and resource constrained devices enabling access to biometric, ambient or activity sensors and actuator resources through uniform interfaces defined according to a RESTful fashion. Additionally, µWoTOP manages two communication modes which allow delivering user context information according to different methods, depending on the requirements of the consumer application. It also generates alert messages based on standards related to health care and risk management, such as the Common Alerting Protocol, in order to make its outputs compatible with existing systems.
Data Processing and Simulation Group, School of Telecommunication Engineering, Universidad Politécnica de Madrid, Avda. Complutense 30, 28040 Madrid, Spain. ivan.corredor@grpss.ssr.upm.es.
Iván
I
Corredor
Data Processing and Simulation Group, School of Telecommunication Engineering, Universidad Politécnica de Madrid, Avda. Complutense 30, 28040 Madrid, Spain. eduardo.metola@grpss.ssr.upm.es.
Eduardo
E
Metola
Data Processing and Simulation Group, School of Telecommunication Engineering, Universidad Politécnica de Madrid, Avda. Complutense 30, 28040 Madrid, Spain. abernardos@grpss.ssr.upm.es.
Ana M
AM
Bernardos
Data Processing and Simulation Group, School of Telecommunication Engineering, Universidad Politécnica de Madrid, Avda. Complutense 30, 28040 Madrid, Spain. paula@grpss.ssr.upm.es.
Paula
P
Tarrío
Data Processing and Simulation Group, School of Telecommunication Engineering, Universidad Politécnica de Madrid, Avda. Complutense 30, 28040 Madrid, Spain. jramon@grpss.ssr.upm.es.
José R
JR
Casar
D034201:Computers, Handheld; D003695:Delivery of Health Care / Q000379:methods*; D006296:Health Services; D006801:Humans; D020407:Internet; D012984:Software