<?xml version="1.0" encoding="utf-8"?>
<?xml-stylesheet type="text/xsl" href="style/detail_T.xsl"?>
<bibitem type="C">   <ARLID>0505584</ARLID> <utime>20240111141020.1</utime><mtime>20190618235959.9</mtime>   <SCOPUS>85070811440</SCOPUS> <WOS>000501745100030</WOS>  <DOI>10.1109/IWSSIP.2019.8787283</DOI>           <title language="eng" primary="1">QRD RLS Algorithm for Hand Gesture Recognition Applications</title>  <specification> <page_count>6 s.</page_count> <media_type>P</media_type> </specification>   <serial><ARLID>cav_un_epca*0505583</ARLID><ISBN>978-1-7281-3253-2</ISBN><title>Proceedings of IWSSIP 2019</title><part_num/><part_title>Signal Processing II</part_title><page_num>195-201</page_num><publisher><place>Piscataway</place><name>IEEE</name><year>2019</year></publisher><editor><name1>Žagar</name1><name2>Drago</name2></editor><editor><name1>Rimac-Drlje</name1><name2>Snježana</name2></editor><editor><name1>Martinović</name1><name2>Goran</name2></editor><editor><name1>Galić</name1><name2>Irena</name2></editor><editor><name1>Vranješ</name1><name2>Denis</name2></editor><editor><name1>Habijan</name1><name2>Marija</name2></editor></serial>    <keyword>QRD RLS algorithm</keyword>   <keyword>exponential forgetting</keyword>   <keyword>double precision arithmetic</keyword>   <keyword>regression model</keyword>   <keyword>hand detection</keyword>   <keyword>ultrasound</keyword>    <author primary="1"> <ARLID>cav_un_auth*0330517</ARLID>  <name1>Likhonina</name1> <name2>Raissa</name2> <institution>UTIA-B</institution> <full_dept language="cz">Zpracování signálů</full_dept> <full_dept language="eng">Department of Signal Processing</full_dept> <department language="cz">ZS</department> <department language="eng">ZS</department> <full_dept>Department of Signal Processing</full_dept> <country>CZ</country> <fullinstit>Ústav teorie informace a automatizace AV ČR, v. v. i.</fullinstit> </author>   <source> <source_type>textový soubor</source_type> <url>http://library.utia.cas.cz/separaty/2019/ZS/likhonina-0505584.pdf</url> <source_size>246M</source_size> </source>        <cas_special> <project> <ARLID>cav_un_auth*0374054</ARLID> <project_id>8A18013</project_id> <agency>GA MŠk</agency> </project>  <abstract language="eng" primary="1">The work is focused on algorithmic technique for detection of hand presence and distance from a hand to a device transmitting ultrasound signals. The described method is based on QRD Recursive Least Squares (RLS) algorithm with double precision arithmetic and exponential forgetting (EF). Modelling of a hand detection problem is based on linear Finite Impulse Response (FIR) based regression models and performed using MATLAB tools. The modelled system comprises an environment model, a hand model and an identification block. A series of experiments testing both time-invariant and time-variant environment models and time-variant hand models show the importance of a correct choice of the EF factor. The experiments prove the accuracy of the algorithm and the possibility to calculate a distance from the hand to the device. The final version of the algorithm is supposed to be implemented on the embedded Xilinx Zynq device equipped with a microphone and ultrasound transducers.</abstract>    <action target="WRD"> <ARLID>cav_un_auth*0376062</ARLID> <name>International Conference on Systems, Signals and Image Processing 2019 (IWSSIP 2019)</name> <dates>20190605</dates> <unknown tag="mrcbC20-s">20190607</unknown> <place>Osijek</place> <country>HR</country>  </action>  <RIV>BB</RIV> <FORD0>10000</FORD0> <FORD1>10100</FORD1> <FORD2>10103</FORD2>    <reportyear>2020</reportyear>      <num_of_auth>1</num_of_auth>  <presentation_type> PR </presentation_type> <inst_support> RVO:67985556 </inst_support>  <permalink>http://hdl.handle.net/11104/0297088</permalink>   <confidential>S</confidential>  <unknown tag="mrcbC86"> 2 Article Evolutionary Biology|Genetics Heredity </unknown>       <arlyear>2019</arlyear>       <unknown tag="mrcbU14"> 85070811440 SCOPUS </unknown> <unknown tag="mrcbU24"> PUBMED </unknown> <unknown tag="mrcbU34"> 000501745100030 WOS </unknown> <unknown tag="mrcbU56"> textový soubor 246M </unknown> <unknown tag="mrcbU63"> cav_un_epca*0505583 Proceedings of IWSSIP 2019 Signal Processing II IEEE 2019 Piscataway 195 201 978-1-7281-3253-2 </unknown> <unknown tag="mrcbU67"> 340 Žagar Drago </unknown> <unknown tag="mrcbU67"> 340 Rimac-Drlje Snježana </unknown> <unknown tag="mrcbU67"> 340 Martinović Goran </unknown> <unknown tag="mrcbU67"> 340 Galić Irena </unknown> <unknown tag="mrcbU67"> 340 Vranješ Denis </unknown> <unknown tag="mrcbU67"> 340 Habijan Marija </unknown> </cas_special> </bibitem>