| bibtype |
C -
Conference Paper (international conference)
|
| ARLID |
0505584 |
| utime |
20240111141020.1 |
| mtime |
20190618235959.9 |
| SCOPUS |
85070811440 |
| WOS |
000501745100030 |
| DOI |
10.1109/IWSSIP.2019.8787283 |
| title
(primary) (eng) |
QRD RLS Algorithm for Hand Gesture Recognition Applications |
| specification |
| page_count |
6 s. |
| media_type |
P |
|
| serial |
| ARLID |
cav_un_epca*0505583 |
| ISBN |
978-1-7281-3253-2 |
| title
|
Proceedings of IWSSIP 2019 |
| part_title |
Signal Processing II |
| page_num |
195-201 |
| publisher |
| place |
Piscataway |
| name |
IEEE |
| year |
2019 |
|
| editor |
|
| editor |
| name1 |
Rimac-Drlje |
| name2 |
Snježana |
|
| editor |
| name1 |
Martinović |
| name2 |
Goran |
|
| editor |
|
| editor |
| name1 |
Vranješ |
| name2 |
Denis |
|
| editor |
| name1 |
Habijan |
| name2 |
Marija |
|
|
| keyword |
QRD RLS algorithm |
| keyword |
exponential forgetting |
| keyword |
double precision arithmetic |
| keyword |
regression model |
| keyword |
hand detection |
| keyword |
ultrasound |
| author
(primary) |
| ARLID |
cav_un_auth*0330517 |
| name1 |
Likhonina |
| name2 |
Raissa |
| institution |
UTIA-B |
| full_dept (cz) |
Zpracování signálů |
| full_dept (eng) |
Department of Signal Processing |
| department (cz) |
ZS |
| department (eng) |
ZS |
| full_dept |
Department of Signal Processing |
| country |
CZ |
| fullinstit |
Ústav teorie informace a automatizace AV ČR, v. v. i. |
|
| source |
|
| cas_special |
| project |
| ARLID |
cav_un_auth*0374054 |
| project_id |
8A18013 |
| agency |
GA MŠk |
|
| abstract
(eng) |
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. |
| action |
| ARLID |
cav_un_auth*0376062 |
| name |
International Conference on Systems, Signals and Image Processing 2019 (IWSSIP 2019) |
| dates |
20190605 |
| mrcbC20-s |
20190607 |
| place |
Osijek |
| country |
HR |
|
| RIV |
BB |
| FORD0 |
10000 |
| FORD1 |
10100 |
| FORD2 |
10103 |
| reportyear |
2020 |
| num_of_auth |
1 |
| presentation_type |
PR |
| inst_support |
RVO:67985556 |
| permalink |
http://hdl.handle.net/11104/0297088 |
| confidential |
S |
| mrcbC86 |
3+4 Proceedings Paper Computer Science Information Systems|Engineering Electrical Electronic|Imaging Science Photographic Technology |
| arlyear |
2019 |
| mrcbU14 |
85070811440 SCOPUS |
| mrcbU24 |
PUBMED |
| mrcbU34 |
000501745100030 WOS |
| mrcbU56 |
textový soubor 246M |
| mrcbU63 |
cav_un_epca*0505583 Proceedings of IWSSIP 2019 Signal Processing II IEEE 2019 Piscataway 195 201 978-1-7281-3253-2 |
| mrcbU67 |
340 Žagar Drago |
| mrcbU67 |
340 Rimac-Drlje Snježana |
| mrcbU67 |
340 Martinović Goran |
| mrcbU67 |
340 Galić Irena |
| mrcbU67 |
340 Vranješ Denis |
| mrcbU67 |
340 Habijan Marija |
|