Signal Processing to Drive Human-Computer Interaction
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Signal Processing to Drive Human-Computer Interaction: EEG and eye-controlled interfaces

Signal Processing to Drive Human-Computer Interaction: EEG and eye-controlled interfaces

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International Edition


About the Book

The evolution of eye tracking and brain-computer interfaces has given a new perspective on the control channels that can be used for interacting with computer applications. In this book leading researchers show how these technologies can be used as control channels with signal processing algorithms and interface adaptations to drive a human-computer interface. Topics included in the book include a comprehensive overview of eye-mind interaction incorporating algorithm and interface developments; modeling the (dis)abilities of people with motor impairment and their computer use requirements and expectations from assistive interfaces; and signal processing aspects including acquisition, preprocessing, enhancement, feature extraction, and classification of eye gaze, EEG (Steady-state visual evoked potentials, motor imagery and error-related potentials) and near-infrared spectroscopy (NIRS) signals. Finally, the book presents a comprehensive set of guidelines, with examples, for conducting evaluations to assess usability, performance, and feasibility of multi-model interfaces combining eye gaze and EEG based interaction algorithms. The contributors to this book are researchers, engineers, clinical experts, and industry practitioners who have collaborated on these topics, providing an interdisciplinary perspective on the underlying challenges of eye and mind interaction and outlining future directions in the field.

Table of Contents:
Chapter 1: Introduction 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 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 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


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Product Details
  • ISBN-13: 9781785619199
  • Publisher: Institution of Engineering and Technology
  • Publisher Imprint: Institution of Engineering and Technology
  • Height: 234 mm
  • Sub Title: EEG and eye-controlled interfaces
  • ISBN-10: 1785619195
  • Publisher Date: 08 Jul 2020
  • Binding: Hardback
  • Language: English
  • Width: 156 mm


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