Signal processing to drive human-computer interaction : EEG and eye-controlled interfaces /

In this book, the contributors show how brain-signal processing can be used to drive a human-computer interface (HCI) using processing results from a single modality or a combination. They present concrete usage scenarios and applications in multimedia interfaces, drawing on a wide range of examples...

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Detalles Bibliográficos
Clasificación:Libro Electrónico
Otros Autores: Nikolopoulos, Spiros (Editor ), Kumar, Chandan, (Researcher) (Editor ), Kompatsiaris, Yiannis (Editor )
Formato: Electrónico eBook
Idioma:Inglés
Publicado: London, UK : The Institution of Engineering and Technology, 2020.
©2020
Colección:IET control, robotics and sensors series ; 129.
Temas:
Signal processing.
Human-computer interaction.
Biomedical engineering.
Traitement du signal.
Génie biomédical.
biomedical engineering.
Biomedical engineering
Human-computer interaction
Signal processing
brain-computer interfaces.
electroencephalography.
gaze tracking.
handicapped aids.
home computing.
human computer interaction.
learning (artificial intelligence).
medical signal processing.
multimedia computing.
patient rehabilitation.
visual evoked potentials.
Acceso en línea:Texto completo
Tabla de Contenidos:
  • Introduction / Spiros Nikolopoulos, Chandan Kumar, and Ioannis Kompatsiaris
  • The added value of EEG-based BCIs for communication and rehabilitation of people with motor impairment / Ioulietta Lazarou, Spiros Nikolopoulos, and Ioannis Kompatsiaris
  • Brain-computer interfaces in a home environment for patients with motor impairment : the MAMEM use case / Sevasti Bostantjopoulou, Zoe Katsorou, and Ioannis Danglis
  • Persuasive design principles and user models for people with motor disabilities / Sofia Fountoukidou, Jaap Ham, Uwe Matzat, and Cees Midden
  • Eye tracking for interaction : adapting multimedia interfaces / Raphael Menges, Chandan Kumar, and Steffen Staab
  • Eye tracking for interaction : evaluation methods / Chandan Kumar, Raphael Menges, Korok Sengupta, and Steffen Staab
  • Machine-learning techniques for EEG data / Vangelis P. Oikonomou, Spiros Nikolopoulos, and Ioannis Kampatsiaris
  • BCIs using steady-state visual-evoked potentials / Vangelis P. Oikonomou, Elisavet Chatzilari, Georgios Liaros, Spiros Nikolopoulos, and Ioannis Kompatsiaris
  • BCIs using motor imagery and sensorimotor rhythms / Kostas Georgiadis, Nikos A. Laskaris, Spiros Nikolopoulos, and Ioannis Kompatsiaris
  • Graph signal processing analysis of NIRS signals for brain-computer interfaces / Panagiotis C. Petrantonakis and Ioannis Kompatsiaris
  • Error-aware BCIs / Fotis P. Kalaganis, Elisavet Chatzilari, Nikos A. Laskaris, Spiros Nikolopoulos, and Ioannis Kompatsiaris
  • Multimodal BCIs : the hands-free Tetris paradigm / Elisavet Chatzilari, Georgios Liaros, Spiros Nikolopoulos, and Ioannis Kompatsiaris
  • Conclusions / Chandan Kumar, Spiros Nikolopoulos, and Ioannis Kompatsiaris.

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