Publication detail

Multiplatform System for Hand Gesture Recognition

BRAVENEC, T.

Original Title

Multiplatform System for Hand Gesture Recognition

English Title

Multiplatform System for Hand Gesture Recognition

Type

conference paper

Language

en

Original Abstract

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.

English abstract

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.

Keywords

Hand detection; Gesture recognition; Deep Learning

Released

09.09.2019

Publisher

Studentská sekce IEEE při VUT v Brně

Location

Brno

ISBN

978-80-214-5781-2

Book

Proceedings of IEEE Student Branch Conference Mikulov 2019

Pages from

30

Pages to

33

Pages count

4

Documents

BibTex


@inproceedings{BUT159691,
  author="Tomáš {Bravenec}",
  title="Multiplatform System for Hand Gesture Recognition",
  annote="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.",
  address="Studentská sekce IEEE při VUT v Brně",
  booktitle="Proceedings of IEEE Student Branch Conference Mikulov 2019",
  chapter="159691",
  howpublished="online",
  institution="Studentská sekce IEEE při VUT v Brně",
  year="2019",
  month="september",
  pages="30--33",
  publisher="Studentská sekce IEEE při VUT v Brně",
  type="conference paper"
}