Smart home has become a very active topic of research in the past few years. The problem of recognizing activity inside a smart home is one of the biggest challenge researchers have to face in this discipline. Many of them have presented approaches exploiting temporal constraints in order to maximize the efficiency and the precision of their recognition model. However, only few works investigate the spatial aspects characterizing the habitat context. In this paper, we present a new algorithm and a complete experiment showing the importance of taking into account spatial constraints in the recognition process. The goal of this paper is to demonstrate that recognition algorithms will benefit from exploiting spatial constraints. © 2011 Springer-Verlag.
CITATION STYLE
Bouchard, K., Bouchard, B., & Bouzouane, A. (2011). Qualitative spatial activity recognition using a complete platform based on passive RFID tags: Experimentations and results. In Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics) (Vol. 6719 LNCS, pp. 308–312). https://doi.org/10.1007/978-3-642-21535-3_47
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