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Title:
Realnočasovna zaznava in uporaba ročnih gest
Authors:
ID
Šimunić, Tomaž
(
Author
)
ID
Žlahtič, Bojan
(
Mentor
)
More about this mentor...
Files:
VS_Simunic_Tomaz_2026.pdf
(1,54 MB)
MD5: FFE91D56DBDCE27E1BDCE1CC9025749D
Language:
Slovenian
Work type:
Bachelor thesis/paper
Typology:
2.11 - Undergraduate Thesis
Organization:
FERI - Faculty of Electrical Engineering and Computer Science
Abstract:
Dinamično zaznavanje gest omogoča še eno možnost interaktivnosti z računalnikom, s pomočjo katere lahko hitro in učinkovito uporabljamo prožilce in koristimo nastavljene funkcije na način, ki še ni bil obsežno raziskovan. Namen te diplomske naloge je raziskava osnovnih realnočasovnih gest, ki se združujejo v zaznavo in proženje aktivnosti na računalniku, ter raziskovanje zgodovine že obstoječih načinov prepoznavanja gest in za kaj so bili ti že uporabljeni
Keywords:
računalniški vid
,
prepoznavanje gest
,
Python
Place of publishing:
Maribor
Year of publishing:
2026
PID:
20.500.12556/DKUM-99575
Publication date in DKUM:
24.09.2026
Views:
62
Downloads:
4
Metadata:
Categories:
KTFMB - FERI
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Licences
License:
CC BY-NC 4.0, Creative Commons Attribution-NonCommercial 4.0 International
Link:
http://creativecommons.org/licenses/by-nc/4.0/
Description:
A creative commons license that bans commercial use, but the users don’t have to license their derivative works on the same terms.
Licensing start date:
20.08.2026
Secondary language
Language:
English
Title:
Real-Time detection and application of hand gestures
Abstract:
Dynamic hand gesture recognition provides another way to interact with a computer, allowing us to quickly and efficiently use triggers in addition to using set functions in a way that has not been widely explored. The aim is to investigate the basic real-time gestures that combine to detect and trigger activity on a computer and to explore the history of existing gesture recognition methods, as well as the way they are used.
Keywords:
computer vision
,
gesture recognition
,
Python
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