Ambient-Intelligence Trigger Markup Language: A New Approach to Ambient Intelligence Rule Definition
ATML (Ambient intelligence Trigger Markup Language), a novel suitable language, is presented and described, aimed at defining and describing actions and rules in the field of ambient intelligence and context-awareness.
Abstract
Assistive technologies need to constantly adapt and react to user needs. To this end, ambient intelligence techniques could be adopted. One approach consists of defining suitable rules to trigger actions or suggestions to the users. In this paper, ATML (Ambient intelligence Trigger Markup Language), a novel suitable language, is presented and described. ATML is aimed at defining and describing actions and rules in the field of ambient intelligence and context-awareness. To show how useful ATML is, we briefly introduce its current implementation in BackHome, an EU project concerning physical and social autonomy of people with disabilities.