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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.
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