QRD RLS Algorithm for Hand Gesture Recognition Applications

Kód výsledku v IS VaVaI

<a href="https://www.isvavai.cz/riv?ss=detail&h=RIV%2F68407700%3A21260%2F19%3A00342558" target="_blank" >RIV/68407700:21260/19:00342558 - isvavai.cz</a>

Výsledek na webu

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

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OECD FORD obor

10201 - Computer sciences, information science, bioinformathics (hardware development to be 2.2, social aspect to be 5.8)

Projekt

—

Návaznosti

I - Institucionalni podpora na dlouhodoby koncepcni rozvoj vyzkumne organizace

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

978-1-7281-3227-3

ISSN

2157-8672

e-ISSN

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Počet stran výsledku

7

Strana od-do

195-201

Název nakladatele

FEE, Computer Science and Information Technology, Osijek

Místo vydání

Osijek

Místo konání akce

Osijek

Datum konání akce

5. 7. 2019

Typ akce podle státní příslušnosti

WRD - Celosvětová akce

Kód UT WoS článku

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