Multiplatform System for Hand Gesture Recognition
The result's identifiers
Result code in IS VaVaI
<a href="https://www.isvavai.cz/riv?ss=detail&h=RIV%2F00216305%3A26220%2F19%3APU133972" target="_blank" >RIV/00216305:26220/19:PU133972 - isvavai.cz</a>
Result on the web
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DOI - Digital Object Identifier
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Alternative languages
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 summary 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
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Czech description
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Classification
Type
D - Article in proceedings
CEP classification
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OECD FORD branch
20202 - Communication engineering and systems
Result continuities
Project
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Continuities
S - Specificky vyzkum na vysokych skolach
Others
Publication year
2019
Confidentiality
S - Úplné a pravdivé údaje o projektu nepodléhají ochraně podle zvláštních právních předpisů
Data specific for result type
Article name in the collection
Proceedings of IEEE Student Branch Conference Mikulov 2019
ISBN
978-80-214-5781-2
ISSN
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e-ISSN
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Number of pages
4
Pages from-to
30-33
Publisher name
Studentská sekce IEEE při VUT v Brně
Place of publication
Brno
Event location
Mikulov, Czech republic
Event date
Sep 9, 2019
Type of event by nationality
EUR - Evropská akce
UT code for WoS article
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