Paper Info
Title
Interoperable services based on activity monitoring in Ambient Assisted Living environments
Abstract
Ambient Assisted Living (AAL) is considered as the main technological solution that will enable the aged and people in recovery to maintain their independence and a consequent high quality of life for a longer period of time than would otherwise be the case. This goal is achieved by monitoring human's activities and deploying the appropriate collection of services to set environmental features and satisfy user preferences in a given context. However, both human monitoring and services deployment are particularly hard to accomplish due to the uncertainty and ambiguity characterising human actions, and heterogeneity of hardware devices composed in an AAL system. This research addresses both the aforementioned challenges by introducing 1) an innovative system, based on Self Organising Feature Map (SOFM), for automatically classifying the resting location of a moving object in an indoor environment and 2) a strategy able to generate context-aware based Fuzzy Markup Language (FML) services in order to maximize the users' comfort and hardware interoperability level. The overall system runs on a distributed embedded platform with a specialised ceiling-mounted video sensor for intelligent activity monitoring. The system has the ability to learn resting locations, to measure overall activity levels, to detect specific events such as potential falls and to deploy the right sequence of fuzzy services modelled through FML for supporting people in that particular context. Experimental results show less than 20% classification error in monitoring human activities and providing the right set of services, showing the robustness of our approach over others in literature with minimal power consumption.
Year
DOI
Venue
2014
10.1109/IA.2014.7009462
Intelligent Agents
Keywords
DocType
Citations 
XML,assisted living,fuzzy set theory,indoor environment,open systems,self-organising feature maps,ubiquitous computing,AAL system,FML services,SOFM,ambient assisted living environment,ceiling-mounted video sensor,classification error,context-aware based fuzzy markup language,distributed embedded platform,environmental feature,fuzzy services,hardware devices,hardware interoperability level,human action,human activity monitoring,human monitoring,indoor environment,innovative system,intelligent activity monitoring,interoperable services,moving object,overall activity level,resting location,self organising feature map,services deployment
Conference
0
PageRank 
References 
Authors
0.34
17
4
Name
Order
Citations
PageRank
Giovanni Acampora139525.80
Kofi Appiah200.68
Andrew Hunter317511.31
Autilia Vitiello421.75