Wyniki wyszukiwania dla: Hand gesture

• Video recordings of static hand gestures for gesture based interaction

  Dane Badawcze

  open access

  • T. Kocejko

  This data set contains video recording of selected simple hand gestures related to sign language. The purpose of the data set is to evaluate different computer algorithms design for hand gesture detection as well as for hand features and hand pose detection and identification. The data set contains 5 video recordings in mp4 format.  Each recording is...

• Music Mixing Process Controlled by Hand Gestures

  Publikacja

  • M. Lech

  - Archives of Acoustics - Rok 2011

  W referacie przedstawiono system umożliwiający sterowanie procesami miksowania śladów nagrania muzycznego za pomocą gestów rąk. Przybliżono podstawy wielomodalnej percepcji argumentujące potrzebę powstania tego typu systemu oraz założenia przyjęte w trakcie jego tworzenia. Część sprzętowa systemu składa się z rzutnika multimedialnego, kamery internetowej, komputera klasy PC z zainstalowanym oprogramowaniem systemu oraz ekranu dla...

• Hand gesture recognition supported by fuzzy rules and Kalman filters

  Publikacja

  • M. Lech
  • B. Kostek

  - International Journal of Intelligent Information and Database Systems - Rok 2012

  The paper presents a system based on camera and multimediaprojector enabling a user to control computer applications by dynamic hand gestures. Gesture recognition methodology based on representing hand movement trajectory by motion vectors analysed using fuzzy rule-based inference is first given. For effective hand position tracking Kalman filters are employed. The system engineered is developed using J2SE and C++/OpenCV technology....

• Towards Contactless, Hand Gestures-Based Control of Devices

  Publikacja

  • K. Czuszyński
  • J. Rumiński

  - Rok 2018

  Gesture-based intuitive interactions with electronic devices can be an important part of smart home systems. In this paper, we adapt the contactless linear gesture sensor for the navigation of smart lighting system. Set of handled gestures allow to propose two methods of active light source selection, continuous dimming, and turning on and off based on discrete gestures. The average gesture recognition accuracy was 97.58% in the...

  Pełny tekst do pobrania w serwisie zewnętrznym

• Basic Hand Gestures Classification Based on Surface Electromyography

  Publikacja

  • A. Pałkowski
  • G. Redlarski

  - Computational and Mathematical Methods in Medicine - Rok 2016

  This paper presents an innovative classification system for hand gestures using 2-channel surface electromyography analysis. The system developed uses the Support Vector Machine classifier, for which the kernel function and parameter optimisation are conducted additionally by the Cuckoo Search swarm algorithm. The system developed is compared with standard Support Vector Machine classifiers with various kernel functions. The average...

  Pełny tekst do pobrania w portalu

• LECTURE NOTES IN COMPUTER SCIENCE

  Czasopisma

  ISSN: 0302-9743

• A new approach for an automatic assessment of a neurological condition employing hand gesture classification

  Publikacja

  • K. Kaszuba-Miotke
  • B. Kostek

  - Intelligent Decision Technologies-Netherlands - Rok 2011

  .

  Pełny tekst do pobrania w serwisie zewnętrznym

• GESTURE

  Czasopisma

  ISSN: 1568-1475 , eISSN: 1569-9773

• Examining Classifiers Applied to Static Hand Gesture Recognition in Novel Sound Mixing System

  Publikacja

  • M. Lech
  • B. Kostek
  • A. Czyżewski

  - Advances in Intelligent Systems and Computing - Rok 2013

  The main objective of the chapter is to present the methodology and results of examining various classifiers (Nearest Neighbor-like algorithm with non-nested generalization (NNge), Naive Bayes, C4.5 (J48), Random Tree, Random Forests, Artificial Neural Networks (Multilayer Perceptron), Support Vector Machine (SVM) used for static gesture recognition. A problem of effective gesture recognition is outlined in the context of the system...

  Pełny tekst do pobrania w serwisie zewnętrznym

• Neural network based algorithm for hand gesture detection in a low-cost microprocessor applications

  Publikacja

  • T. Kocejko
  • F. Brzeziński
  • J. Rumiński
  • A. Poliński
  • J. Wtorek

  - Rok 2020

  In this paper the simple architecture of neural network for hand gesture classification was presented. The network classifies the previously calculated parameters of EMG signals. The main goal of this project was to develop simple solution that is not computationally complex and can be implemented on microprocessors in low-cost 3D printed prosthetic arms. As the part of conducted research the data set EMG signals corresponding...

  Pełny tekst do pobrania w serwisie zewnętrznym