title: A hybrid rule and machine learning based generic alerting platform for smart environments.
abstract: Existing smart environment based alert solutions have adopted a relatively complex and tailored approach to supporting individuals. These solutions have involved sensor based monitoring, activity recognition and assistance provisioning. Traditionally they have suffered from a number of issues, rooted in scalability and performance, associated with complex activity recognition processes. This paper introduces a generic approach to realizing an alerting platform within a smart environment. The core concept of this approach is presented and placed within the context of related work. A description of the approach is provided, followed by an evaluation. This evaluation shows the approach offers reasonable accuracy, future work will increase accuracy.
authors.forename: Joseph
authors.initials: J
authors.lastname: Rafferty
authors.forename: Jonathan
authors.initials: J
authors.lastname: Synnott
authors.forename: Chris
authors.initials: C
authors.lastname: Nugent
mesh_terms: D006802:Human Activities; D006801:Humans; D000069550:Machine Learning; D008991:Monitoring, Physiologic; D010363:Pattern Recognition, Automated; D012984:Software