<Record><identifier xmlns="http://purl.org/dc/elements/1.1/">URN:NBN:SI:doc-906E1GZG</identifier><date>2009</date><creator>Kaluža, Boštjan</creator><creator>Luštrek, Mitja</creator><relation>documents/doc/9/URN_NBN_SI_doc-906E1GZG_001.pdf</relation><relation>documents/doc/9/URN_NBN_SI_doc-906E1GZG_001.txt</relation><format format_type="issue">2</format><format format_type="volume">33</format><format format_type="type">article</format><format format_type="extent">str. 197-204</format><identifier identifier_type="ISSN">0350-5596</identifier><identifier identifier_type="COBISSID">22678055</identifier><identifier identifier_type="URN">URN:NBN:SI:doc-906E1GZG</identifier><language>eng</language><publisher>Slovensko društvo Informatika</publisher><source>Informatica (Ljubljana)</source><rights>InC</rights><subject language_type_id="slv">gibanje</subject><subject language_type_id="slv">inteligentni sistemi</subject><subject language_type_id="slv">nadzor</subject><subject language_type_id="slv">strojno učenje</subject><title>Fall detection and activity recognition with machine learning</title></Record>