The idea of applying semantic web technologies to the area of smart homes (SH) and building automation has resulted in a number of research activities and initiatives that have been recently developed. This article starts with an overview of ongoing work towards embedding semantics into home automation services. We then highlight the problems not considered by previous solutions. The core value of the work presented here is contained in a novel goal-driven approach for building automation service allocation and control. A new concept of semantic homes (SeH) and its architectural vision is another significant contribution. The comparison between existing and suggested solutions is rounded off by a use case scenario from the area of ambient assisted living.

Recently, different smart glasses solutions have been proposed on the market. The rapid development of this wearable technology has led to several research projects related to applications of smart glasses in healthcare. In this paper we propose a general architecture of the system enabling data integration for the recognized person. In the proposed system smart glasses integrates data obtained for the recognized patient from health care information systems, from devices connected to the patient and from the patient himself. The data integration is possible, if proper patient recognition procedure is used. Therefore, we evaluated three identification methods based on face recognition and using the recognition of graphical markers (i.e. QR-codes and proposed color-based codes). The results show that it is possible to obtain reliable and fast recognition results during the video acquisition by the smart glasses camera.

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