QRD RLS Algorithm for Hand Gesture Recognition Applications

Kód výsledku v IS VaVaI

<a href="https://www.isvavai.cz/riv?ss=detail&h=RIV%2F67985556%3A_____%2F19%3A00505584" target="_blank" >RIV/67985556:_____/19:00505584 - isvavai.cz</a>

Výsledek na webu

<a href="http://dx.doi.org/10.1109/IWSSIP.2019.8787283" target="_blank" >http://dx.doi.org/10.1109/IWSSIP.2019.8787283</a>

DOI - Digital Object Identifier

<a href="http://dx.doi.org/10.1109/IWSSIP.2019.8787283" target="_blank" >10.1109/IWSSIP.2019.8787283</a>

Jazyk výsledku

angličtina

Název v původním jazyce

QRD RLS Algorithm for Hand Gesture Recognition Applications

Popis výsledku v původním jazyce

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.

Název v anglickém jazyce

QRD RLS Algorithm for Hand Gesture Recognition Applications

Popis výsledku anglicky

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.

Druh

D - Stať ve sborníku

CEP obor

—

OECD FORD obor

10103 - Statistics and probability

Projekt

<a href="/cs/project/8A18013" target="_blank" >8A18013: From the cloud to the edge - smart IntegraTion and OPtimization Technologies for highly efficient Image and VIdeo processing Systems</a><br>

Návaznosti

P - Projekt vyzkumu a vyvoje financovany z verejnych zdroju (s odkazem do CEP)

Rok uplatnění

2019

Kód důvěrnosti údajů

S - Úplné a pravdivé údaje o projektu nepodléhají ochraně podle zvláštních právních předpisů

Název statě ve sborníku

Proceedings of IWSSIP 2019

ISBN

978-1-7281-3253-2

ISSN

—

e-ISSN

—

Počet stran výsledku

6

Strana od-do

195-201

Název nakladatele

IEEE

Místo vydání

Piscataway

Místo konání akce

Osijek

Datum konání akce

5. 6. 2019

Typ akce podle státní příslušnosti

WRD - Celosvětová akce

Kód UT WoS článku

000501745100030