Hand Gesture Recognition Based on Ultrasound Technology: Pre-processing Stage

Result code in IS VaVaI
<a href="https://www.isvavai.cz/riv?ss=detail&h=RIV%2F67985556%3A_____%2F19%3A00505586" target="_blank" >RIV/67985556:_____/19:00505586 - isvavai.cz</a>
Result on the web
<a href="http://dx.doi.org/10.1109/MECO.2019.8760063" target="_blank" >http://dx.doi.org/10.1109/MECO.2019.8760063</a>
DOI - Digital Object Identifier
<a href="http://dx.doi.org/10.1109/MECO.2019.8760063" target="_blank" >10.1109/MECO.2019.8760063</a>

Result language
angličtina
Original language name
Hand Gesture Recognition Based on Ultrasound Technology: Pre-processing Stage
Original language description
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.
Czech name
—
Czech description
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Project
<a href="/en/project/8A17006" target="_blank" >8A17006: (Ultra)Sound Interfaces and Low Energy iNtegrated SEnsors</a><br>
Continuities
P - Projekt vyzkumu a vyvoje financovany z verejnych zdroju (s odkazem do CEP)

Publication year
2019
Confidentiality
S - Úplné a pravdivé údaje o projektu nepodléhají ochraně podle zvláštních právních předpisů

Article name in the collection
Proceedings - Research monograph : 2019 8th Mediterranean Conference on Embedded Computing (MECO)
ISBN
978-1-7281-1739-3
ISSN
—
e-ISSN
—
Number of pages
6
Pages from-to
354-360
Publisher name
IEEE
Place of publication
Piscataway
Event location
Budva
Event date
Jun 10, 2019
Type of event by nationality
WRD - Celosvětová akce
UT code for WoS article
000492146100087

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