Indoor localisation offers an abundance of new services to be used within modern buildings. Amongst these, they provide more visibility, and can reduce routine tasks and human error, through information and server-side reactionary mechanisms. Herein we describe an RF-and ultrasound-based indoor localisation system useful within assisted living residences. The system-in-test uses an electronic name-tag that can be localised with an average accuracy of less than 10 cm deviation of its spatial position by reference nodes distributed throughout the environment. Extensible on-tag multi-use sensors provide additional input for scenarios such as fall detection. Preliminary prototype results for fall detection are exemplified through a demonstration software application frontend.

Abstract. This paper introduces a novel vision for further enhanced Internet of Things services. Based on a variety of data (such as location data, ontologybacked search queries, in-and outdoor conditions) the Prometheus framework is intended to support users with helpful recommendations and information preceding a search for context-aware data. Adapted from artificial intelligence concepts, Prometheus proposes user-readjusted answers on umpteen conditions. A number of potential Prometheus framework applications are illustrated. Added value and possible future studies are discussed in the conclusion.