<Record><identifier xmlns="http://purl.org/dc/elements/1.1/">URN:NBN:SI:DOC-7WAJ3795</identifier><date>2022</date><creator>Naval, Prospero C.</creator><creator>Salvador, Roy Amante A.</creator><relation>documents/doc/7/URN_NBN_SI_doc-7WAJ3795_001.pdf</relation><relation>documents/doc/7/URN_NBN_SI_doc-7WAJ3795_001.txt</relation><format format_type="issue">1</format><format format_type="volume">46</format><format format_type="type">article</format><format format_type="extent">str. 1-12</format><identifier identifier_type="ISSN">0350-5596</identifier><identifier identifier_type="DOI">10.31449/inf.v46i1.3442</identifier><identifier identifier_type="COBISSID_HOST">108002307</identifier><identifier identifier_type="URN">URN:NBN:SI:doc-7WAJ3795</identifier><language>eng</language><publisher>Slovensko društvo Informatika</publisher><source>Informatica (Ljubljana)</source><rights>BY</rights><subject language_type_id="slv">nevronske mreže</subject><subject language_type_id="slv">prepoznavanje kretenj</subject><subject language_type_id="slv">računalniški vid</subject><subject language_type_id="slv">umetna inteligenca</subject><title>Towards a feasible hand gesture recognition system as sterile non-contact interface in the operating room with 3D convolutional neural network</title></Record>