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Publication detail
BRAVENEC, T. FRÝZA, T.
Original Title
Multiplatform System for Hand Gesture Recognition
Type
conference paper
Language
English
Original Abstract
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.
Keywords
Hand detection; Gesture recognition; Deep Learning
Authors
BRAVENEC, T.; FRÝZA, T.
Released
11. 12. 2019
Location
Ajman, United Arab Emirates
ISBN
978-1-7281-5341-4
Book
2019 IEEE International Symposium on Signal Processing and Information Technology (ISSPIT 2019)
Pages from
1
Pages to
5
Pages count
URL
https://ieeexplore.ieee.org/document/9001762
BibTex
@inproceedings{BUT159799, author="Tomáš {Bravenec} and Tomáš {Frýza}", title="Multiplatform System for Hand Gesture Recognition", booktitle="2019 IEEE International Symposium on Signal Processing and Information Technology (ISSPIT 2019)", year="2019", pages="1--5", address="Ajman, United Arab Emirates", doi="10.1109/ISSPIT47144.2019.9001762", isbn="978-1-7281-5341-4", url="https://ieeexplore.ieee.org/document/9001762" }