Signal Processing to Drive Human-Computer Interaction

Eeg and Eye-Controlled Interfaces
Herausgeber: Nikolopoulos, Spiros; Kompatsiaris, Ioannis; Kumar, Chandan

• Gebundenes Buch

Produktbeschreibung

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 covering communications and healthcare.

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Produktdetails

• Verlag: Institution of Engineering & Technology
• Seitenzahl: 312
• Erscheinungstermin: 8. Juli 2020
• Englisch
• Abmessung: 239mm x 160mm x 20mm
• Gewicht: 635g
• ISBN-13: 9781785619199
• ISBN-10: 1785619195
• Artikelnr.: 58039412

Inhaltsangabe

1. Chapter 1: Introduction
2. Part I: Reviewing existing literature on the benefits of BCIs, studying the
computer use requirements and modeling the (dis)abilities of people with
motor impairment
* Chapter 2: The added value of EEG-based BCIs for communication and
rehabilitation of people with motor impairment
* Chapter 3: Brain-computer interfaces in a home environment for
patients with motor impairment - the MAMEM use case
* Chapter 4: Persuasive design principles and user models for people
with motor disabilities
3. Part II: Algorithms and interfaces for interaction control through eyes and
mind
* Chapter 5: Eye tracking for interaction: adapting multimedia
interfaces
* Chapter 6: Eye tracking for interaction: evaluation methods
* Chapter 7: Machine-learning techniques for EEG data
* Chapter 8: BCIs using steady-state visual-evoked potentials
* Chapter 9: BCIs using motor imagery and sensorimotor rhythms
* Chapter 10: Graph signal processing analysis of NIRS signals for
brain-computer interfaces
4. Part III: Multimodal prototype interfaces that can be operated through eyes
and mind
* Chapter 11: Error-aware BCIs
* Chapter 12: Multimodal BCIs - the hands-free Tetris paradigm
* Chapter 13: Conclusions