| bibtype |
C -
Conference Paper (international conference)
|
| ARLID |
0505586 |
| utime |
20240111141020.1 |
| mtime |
20190618235959.9 |
| SCOPUS |
85073885084 |
| WOS |
000492146100087 |
| DOI |
10.1109/MECO.2019.8760063 |
| title
(primary) (eng) |
Hand Gesture Recognition Based on Ultrasound Technology: Pre-processing Stage |
| specification |
| page_count |
6 s. |
| media_type |
P |
|
| serial |
| ARLID |
cav_un_epca*0505585 |
| ISBN |
978-1-7281-1739-3 |
| title
|
Proceedings - Research monograph : 2019 8th Mediterranean Conference on Embedded Computing (MECO) |
| part_title |
Digital signal processing and artificial intelligence with applications |
| page_num |
354-360 |
| publisher |
| place |
Piscataway |
| name |
IEEE |
| year |
2019 |
|
| editor |
| name1 |
Stojanović |
| name2 |
Radovan |
|
| editor |
|
| editor |
| name1 |
Jurišić |
| name2 |
Dražen |
|
| editor |
| name1 |
Lutovac |
| name2 |
Budimir |
|
|
| keyword |
noise cancellation |
| keyword |
QRD RLS algorithm |
| keyword |
exponential forgetting |
| keyword |
gesture recognition |
| keyword |
ultrasound |
| keyword |
regression model |
| 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*0351997 |
| project_id |
8A17006 |
| agency |
GA MŠk |
| country |
CZ |
|
| abstract
(eng) |
This paper describes an approach, which can be used as a pre-processing stage for a hand detection and gesture recognition problem. The approach is based on noise cancellation using QRD Recursive Least Squares (RLS) algorithm with double precision arithmetic and exponential forgetting (EF). The paper discusses algorithmic techniques and presents experiments showing how it is possible to calculate the distance between a hand and a device. A series of experiments were performed. During them a time-variant environment regression model and a time-variant hand model as well as different values of the EF factor were used. |
| action |
| ARLID |
cav_un_auth*0376063 |
| name |
Mediterranean Conference on Embedded Computing - MECO'2019 /8./ |
| dates |
20190610 |
| mrcbC20-s |
20190614 |
| place |
Budva |
| country |
ME |
|
| 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/11104/0297087 |
| confidential |
S |
| mrcbC86 |
3+4 Proceedings Paper Computer Science Theory Methods |
| arlyear |
2019 |
| mrcbU14 |
85073885084 SCOPUS |
| mrcbU24 |
PUBMED |
| mrcbU34 |
000492146100087 WOS |
| mrcbU56 |
textový soubor 132M |
| mrcbU63 |
cav_un_epca*0505585 Proceedings - Research monograph : 2019 8th Mediterranean Conference on Embedded Computing (MECO) Digital signal processing and artificial intelligence with applications IEEE 2019 Piscataway 354 360 978-1-7281-1739-3 |
| mrcbU67 |
340 Stojanović Radovan |
| mrcbU67 |
340 Jóźwiak Lech |
| mrcbU67 |
340 Jurišić Dražen |
| mrcbU67 |
340 Lutovac Budimir |
|