Multiplatform System for Hand Gesture Recognition

Result code in IS VaVaI
<a href="https://www.isvavai.cz/riv?ss=detail&h=RIV%2F00216305%3A26220%2F19%3APU134044" target="_blank" >RIV/00216305:26220/19:PU134044 - isvavai.cz</a>
Result on the web
<a href="https://ieeexplore.ieee.org/document/9001762" target="_blank" >https://ieeexplore.ieee.org/document/9001762</a>
DOI - Digital Object Identifier
<a href="http://dx.doi.org/10.1109/ISSPIT47144.2019.9001762" target="_blank" >10.1109/ISSPIT47144.2019.9001762</a>

Result language
angličtina
Original language name
Multiplatform System for Hand Gesture Recognition
Original language description
This paper is focused on hand gestures and finger detection in still images and video sequences. The paper also contains a brief testing of different approaches to hand gesture detections as well as the realization of the platform independent application written in Python using OpenCV and PyTorch libraries, that can show a selected image or play a video sequence with highlighted recognized gestures.
Czech name
—
Czech description
—

Project
<a href="/en/project/LO1401" target="_blank" >LO1401: Interdisciplinary Research of Wireless Technologies</a><br>
Continuities
P - Projekt vyzkumu a vyvoje financovany z verejnych zdroju (s odkazem do CEP)<br>S - Specificky vyzkum na vysokych skolach

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

Article name in the collection
2019 IEEE International Symposium on Signal Processing and Information Technology (ISSPIT 2019)
ISBN
978-1-7281-5341-4
ISSN
—
e-ISSN
—
Number of pages
5
Pages from-to
1-5
Publisher name
Neuveden
Place of publication
Ajman, United Arab Emirates
Event location
Ajman, United Arab Emirates
Event date
Dec 10, 2019
Type of event by nationality
WRD - Celosvětová akce
UT code for WoS article
000568621300039

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