Title
A Flexible Architecture for Cognitive Sensing of Activities in Ambient Assisted Living
Abstract
We discuss our experience with the design, implementation, deployment and evaluation of a Human Activity Detection application. This application relies on a software architecture for IoT-based monitoring in Ambient Assisted Living (AAL), based on a Semantic Message Oriented Middleware (SeMoM). Going beyond traditional sensor management systems, our architecture addresses the heterogeneity challenge in IoT healthcare systems and ensures semantic and technical interoperability. SeMoM is able to handle the data acquisition process for a variety of heterogeneous devices, and to provide a reasoning mechanism based on expert knowledge and logic through cognitive sensors. Sensor data and observations are annotated using an extended version of the Cognitive Semantic Sensor Network (CoSSN) ontology built on top of the Semantic Sensor Network (SSN) ontology. CoSSN provides a formal representation that supports a semantic detection of activities.
Year
DOI
Venue
2017
10.1109/WETICE.2017.41
2017 IEEE 26th International Conference on Enabling Technologies: Infrastructure for Collaborative Enterprises (WETICE)
Keywords
Field
DocType
Cognitive Sensing,Activity Detection,Message Oriented Middleware,Sensors Ontology
Ontology (information science),Middleware,World Wide Web,Computer science,Interoperability,Semantic interoperability,Human–computer interaction,Software architecture,Wireless sensor network,Semantics,Semantic computing,Distributed computing
Conference
ISBN
Citations 
PageRank 
978-1-5386-1760-1
2
0.37
References 
Authors
8
5
Name
Order
Citations
PageRank
Rita Zgheib120.37
Antonio De Nicola223227.46
Maria Luisa Villani3107950.41
Emmanuel Conchon4385.76
Rémi Bastide557951.35