Search results for: BRAIN COMPUTER INTERFACES

• Brain-Computer Interfaces

  Journals

  ISSN: 2326-263X , eISSN: 2326-2621

• Multifactor consciousness level assessment of participants with acquired brain injuries employing human–computer interfaces

  Publication

  • A. Czyżewski
  • A. Kurowski
  • P. Odya
  • P. Szczuko

  - Biomedical Engineering Online - Year 2020

  Background A lack of communication with people suffering from acquired brain injuries may lead to drawing erroneous conclusions regarding the diagnosis or therapy of patients. Information technology and neuroscience make it possible to enhance the diagnostic and rehabilitation process of patients with traumatic brain injury or post-hypoxia. In this paper, we present a new method for evaluation possibility of communication and the...

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• New Applications of Multimodal Human-Computer Interfaces

  Publication

  • A. Czyżewski

  - Year 2012

  Multimodal computer interfaces and examples of their applications to education software and for the disabled people are presented. The proposed interfaces include the interactive electronic whiteboard based on video image analysis, application for controlling computers with gestures and the audio interface for speech stretching for hearing impaired and stuttering people. Application of the eye-gaze tracking system to awareness...

• Cross-domain applications of multimodal human-computer interfaces

  Publication

  • A. Czyżewski

  - Year 2015

  Developed multimodal interfaces for education applications and for disabled people are presented, including interactive electronic whiteboard based on video image analysis, application for controlling computers with mouth gestures and audio interface for speech stretching for hearing impaired and stuttering people and intelligent pen allowing for diagnosing and ameliorating developmental dyslexia. The eye-gaze tracking system named...

• Multimodal human-computer interfaces based on advanced video and audio analysis

  Publication

  • A. Czyżewski
  • P. Dalka
  • Ł. Kosikowski
  • B. Kunka
  • P. Odya

  - Advances in Intelligent Systems and Computing - Year 2014

  Multimodal interfaces development history is reviewed briefly in the introduction. Some applications of multimodal interfaces to education software for disabled people are presented. One of them, the LipMouse is a novel, vision-based human-computer interface that tracks user’s lip movements and detect lips gestures. A new approach to diagnosing Parkinson’s disease is also shown. The progression of the disease can be measured employing...

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• Multimodal human-computer interfaces based on advanced video and audio analysis

  Publication

  • A. Czyżewski
  • P. Dalka
  • Ł. Kosikowski
  • B. Kunka
  • A. Kupryjanow
  • M. Lech
  • P. Odya

  - Year 2013

  Multimodal interfaces development history is reviewed briefly in the introduction. Examples of applications of multimodal interfaces to education software and for the disabled people are presented, including interactive electronic whiteboard based on video image analysis, application for controlling computers with mouth gestures and the audio interface for speech stretching for hearing impaired and stuttering people. The Smart...

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• CyberEye: New Eye-Tracking Interfaces for Assessment and Modulation of Cognitive Functions beyond the Brain

  Publication

  • M. Lech
  • A. Czyżewski
  • M. T. Kucewicz

  - SENSORS - Year 2021

  The emergence of innovative neurotechnologies in global brain projects has accelerated research and clinical applications of BCIs beyond sensory and motor functions. Both invasive and noninvasive sensors are developed to interface with cognitive functions engaged in thinking, communication, or remembering. The detection of eye movements by a camera offers a particularly attractive external sensor for computer interfaces to monitor,...

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• STEADY STATE VISUALLY EVOKED POTENTIALS FOR BRAIN COMPUTER INTERFACE

  Publication

  • T. Sanner
  • A. Czyżewski

  - Year 2013

  An experiment conducted to validate a possibility of use a single active electrode EEG device for detecting Steady State Visually Evoked Potentials (SSVEP) is shown. A LED stimulator was applied to stimulate patients with two different frequencies - 13 Hz and 17 Hz. First, EEG signals were recorded and pre-processed using MATLAB software. In the next step recordings were analysed and classified employing the WEKA software. As indicated...

• Deep learning approach on surface EEG based Brain Computer Interface

  Publication

  • Ł. Radzinski
  • T. Kocejko

  - Year 2022

  In this work we analysed the application of con-volutional neural networks in motor imagery classification for the Brain Computer Interface (BCI) purposes. To increase the accuracy of classification we proposed the solution that combines the Common Spatial Pattern (CSP) with convolutional network (ConvNet). The electroencephalography (EEG) is one of the modalities we try to use for controlling the prosthetic arm. Therefor in this...

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• Brain-Computer Interfaces, W, MiBM II st., sem. 03, letni 23/24 (PG_00064472)

  e-Learning Courses

  • A. Ianosi
  • J. Kropiwnicki

  Podstawy neurologii; Podstawowe struktury mózgu; Funkcje tkanki nerwowej; Anatomia mózgu; Umieszczenie elektrod; Kondycjonowanie sygnału; Przetwarzanie sygnałów; transformata Fouriera; transformacja falkowa; parametry Hjortha; Analiza głównych składowych; Niezależna analiza komponentów; Wspólne wzorce przestrzenne; Podstawowe techniki uczenia maszynowego; Rodzaje BCI; Inwazyjne i półinwazyjne BCI; Przywrócenie zmysłów.