Advancements in eye tracking and brain-computer interfaces have opened up new possibilities for controlling and interacting with computer applications. In this book, leading researchers demonstrate how these technologies can serve as control channels, utilizing signal processing algorithms and interface adaptations to enhance human-computer interaction.
The book covers a wide range of topics, including a thorough overview of eye-mind interaction, algorithm and interface development, and modeling the abilities and needs of individuals with motor impairments for assistive interfaces. It also addresses signal processing aspects such as data acquisition, preprocessing, enhancement, feature extraction, and classification of signals from eye gaze, EEG (including steady-state visual evoked potentials, motor imagery, and error-related potentials), and near-infrared spectroscopy (NIRS). The book concludes with detailed guidelines and examples for evaluating the usability, performance, and feasibility of multimodal interfaces that combine eye gaze and EEG-based interaction algorithms.
Contributors include researchers, engineers, clinical experts, and industry practitioners, offering an interdisciplinary perspective on the challenges and future directions of eye and mind interaction.
