Abstract: A system comprising: an indoor localisation system to localise a tracked entity in an indoor environment and to output an indoor location data stream comprising indoor location data representing locations assumed by the tracked entity in the indoor environment; an analytics computing system designed to receive and process the indoor location data stream from the indoor localisation system to compute entity-related analytics; wherein the analytics computing system is designed to: identify in the indoor location data stream one or more sessions, each representing a corresponding period during which a tracked entity carries out an associated activity in the indoor environment, based on an indoor environment model specifying one or more session open/close rules, and compute, for one or more identified sessions, associated track data representing a track travelled by the tracked entity in the indoor environment during an identified session, based on the indoor location data stream (208).

Abstract: A system comprising: an indoor localisation system to localise a tracked entity in an indoor environment and to output an indoor location data stream comprising indoor location data representing locations assumed by the tracked entity in the indoor environment; an analytics computing system designed to receive and process the indoor location data stream from the indoor localisation system to compute entity-related analytics; wherein the analytics computing system is designed to: identify in the indoor location data stream one or more sessions, each representing a corresponding period during which a tracked entity carries out an associated activity in the indoor environment, based on an indoor environment model specifying one or more session open/close rules, and compute, for one or more identified sessions, associated track data representing a track traveled by the tracked entity in the indoor environment during an identified session, based on the indoor location data stream (208).

Abstract: The invention relates to a system and method for providing context-aware services in pervasive computing environments. Specifically it targets environments where a plurality of intermittently connected portable computing devices interact with each other and possibly a plurality of embedded computing devices, that can be fixed in a certain environment. Said portable computing devices communicate with each other via some forms of proximity wireless communications when getting within mutual communication range. Said embedded devices can communicate with said portable devices via a wireless communication interface when getting within mutual communication range. The method proposed is particularly suited for transparent dissemination (i.e., requiring no explicit user intervention) of contextual information, in the form of data which relates to the context the user is in.