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.

• 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