caa a22 4500 445297301 CHVBK 20180317142545.0 cr unu---uuuuu 170323e20101001xx s 000 0 eng 10.1007/s12243-010-0172-4 doi (NATIONALLICENCE)springer-10.1007/s12243-010-0172-4 Spatial-frequency data acquisition using rotational invariant pattern matching in smart environments [Elektronische Daten] [Michael Poland, Chris Nugent, Hui Wang, Liming Chen] This article details the development and testing of an empirical data capture system with the ability to collect spatial-frequency statistics relating to the movement behaviour of a smart home inhabitant. This is achieved using a greyscale normalised cross-correlation pattern matching algorithm. Environmental obstructions on the floor space can also be inferred from a visual representation of the accumulated data. Whilst this methodology itself is not novel, its application to person tracking specifically within a smart home environment does not appear in the literature and is considered a novel approach. The results of tests performed on the pattern matching technique show a tracking competency rate of 94.45% with a standard deviation of 0.009027, indicating high fidelity across a wide variety of environmental factors. Institut Télécom and Springer-Verlag, 2010 Human positioning nationallicence Indoor tracking nationallicence Pattern matching nationallicence Smart environments nationallicence Poland Michael Computer Science Research Institute and School of Computing and Mathematics, Faculty of Computing and Engineering, University of Ulster, Shore Road, Newtownabbey, BT37 0QB, County Antrim, Northern Ireland, UK aut Nugent Chris Computer Science Research Institute and School of Computing and Mathematics, Faculty of Computing and Engineering, University of Ulster, Shore Road, Newtownabbey, BT37 0QB, County Antrim, Northern Ireland, UK aut Wang Hui Computer Science Research Institute and School of Computing and Mathematics, Faculty of Computing and Engineering, University of Ulster, Shore Road, Newtownabbey, BT37 0QB, County Antrim, Northern Ireland, UK aut Chen Liming Computer Science Research Institute and School of Computing and Mathematics, Faculty of Computing and Engineering, University of Ulster, Shore Road, Newtownabbey, BT37 0QB, County Antrim, Northern Ireland, UK aut annals of telecommunications - annales des télécommunications Springer-Verlag 65/9-10(2010-10-01), 557-570 0003-4347 65:9-10<557 2010 65 12243 https://doi.org/10.1007/s12243-010-0172-4 text/html Onlinezugriff via DOI 1 research-article jats NATIONALLICENCE 856 40 https://doi.org/10.1007/s12243-010-0172-4 text/html Onlinezugriff via DOI NATIONALLICENCE 700 1- Poland Michael Computer Science Research Institute and School of Computing and Mathematics, Faculty of Computing and Engineering, University of Ulster, Shore Road, Newtownabbey, BT37 0QB, County Antrim, Northern Ireland, UK aut NATIONALLICENCE 700 1- Nugent Chris Computer Science Research Institute and School of Computing and Mathematics, Faculty of Computing and Engineering, University of Ulster, Shore Road, Newtownabbey, BT37 0QB, County Antrim, Northern Ireland, UK aut NATIONALLICENCE 700 1- Wang Hui Computer Science Research Institute and School of Computing and Mathematics, Faculty of Computing and Engineering, University of Ulster, Shore Road, Newtownabbey, BT37 0QB, County Antrim, Northern Ireland, UK aut NATIONALLICENCE 700 1- Chen Liming Computer Science Research Institute and School of Computing and Mathematics, Faculty of Computing and Engineering, University of Ulster, Shore Road, Newtownabbey, BT37 0QB, County Antrim, Northern Ireland, UK aut NATIONALLICENCE 773 0- annals of telecommunications - annales des télécommunications Springer-Verlag 65/9-10(2010-10-01), 557-570 0003-4347 65:9-10<557 2010 65 12243 Metadata rights reserved Springer special CC-BY-NC licence nationallicence BK010053 XK010053 XK010000 NATIONALLICENCE NATIONALLICENCE NL-springer