Wyniki wyszukiwania dla: gesture recognition

• A cortex-like model for animal recognition based on texture using feature-selective hashing

  Publikacja

  • S. Seifzadeh

  - Rok 2014

• Gesture recognition framework for multimedia content viewer controlling

  Publikacja

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

  - Rok 2009

  In the paper a system for controlling a multimedia content viewer by hand gestures is presented. First, selected methods used for gesture recognition are described. Two different application cases of the system, i.e. for multimedia presentation purposes and for multimedia content viewing are outlined. Moreover, a proposal of improvement of the system combining these approaches is also given. The system work cycle is reviewed. The...

• Gesture Recognition With the Linear Optical Sensor and Recurrent Neural Networks

  Publikacja

  • K. Czuszyński
  • J. Rumiński
  • A. Kwaśniewska

  - IEEE SENSORS JOURNAL - Rok 2018

  In this paper, the optical linear sensor, a representative of low-resolution sensors, was investigated in the multiclass recognition of near-field hand gestures. The recurrent neural network (RNN) with a gated recurrent unit (GRU) memory cell was utilized as a gestures classifier. A set of 27 gestures was collected from a group of volunteers. The 27 000 sequences obtained were divided into training, validation, and test subsets....

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• Lip movement and gesture recognition for a multimodal human-computer interface

  Publikacja

  • P. Dalka
  • A. Czyżewski

  - Rok 2009

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• 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....

• Pose classification in the gesture recognition using the linear optical sensor

  Publikacja

  • K. Czuszyński
  • J. Rumiński
  • J. Wtorek

  - Rok 2017

  Gesture sensors for mobile devices, which have a capability of distinguishing hand poses, require efficient and accurate classifiers in order to recognize gestures based on the sequences of primitives. Two methods of poses recognition for the optical linear sensor were proposed and validated. The Gaussian distribution fitting and Artificial Neural Network based methods represent two kinds of classification approaches. Three types...

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• LECTURE NOTES IN COMPUTER SCIENCE

  Czasopisma

  ISSN: 0302-9743

• Face Recognition: Shape versus Texture

  Publikacja

  • M. Smiatacz

  - Rok 2015

  This paper describes experiments related to the application of well-known techniques of the texture feature extraction (Local Binary Patterns and Gabor filtering) to the problem of automatic face verification. Results of the tests show that simple image normalization strategy based on the eye center detection and a regular grid of fiducial points outperforms the more complicated approach, employing active models that are able to...

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• Examining Feature Vector for Phoneme Recognition

  Publikacja

  • G. Korvel
  • B. Kostek

  - Rok 2018

  The aim of this paper is to analyze usability of descriptors coming from music information retrieval to the phoneme analysis. The case study presented consists in several steps. First, a short overview of parameters utilized in speech analysis is given. Then, a set of time and frequency domain-based parameters is selected and discussed in the context of stop consonant acoustical characteristics. A toolbox created for this purpose...

• Human-Computer Interface Based on Visual Lip Movement and Gesture Recognition

  Publikacja

  • P. Dalka
  • A. Czyżewski

  - International Journal of Computing Science and Mathematics - Rok 2010

  The multimodal human-computer interface (HCI) called LipMouse is presented, allowing a user to work on a computer using movements and gestures made with his/her mouth only. Algorithms for lip movement tracking and lip gesture recognition are presented in details. User face images are captured with a standard webcam. Face detection is based on a cascade of boosted classifiers using Haar-like features. A mouth region is located in...

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