Signal Processing to Drive Human-Computer Interaction

EEG and eye-controlled interfaces

AvSpiros, Nikolopoulos,Spiros Nikolopoulos

Inbunden, Engelska, 2020

Del i serien Control, Robotics and Sensors

1 677 kr

Beställningsvara. Skickas inom 3-6 vardagar. Fri frakt över 249 kr.

Beskrivning

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.

Produktinformation

Utgivningsdatum:2020-07-08
Mått:156 x 234 x 20 mm
Vikt:635 g
Format:Inbunden
Språk:Engelska
Serie:Control, Robotics and Sensors
Antal sidor:312
Förlag:Institution of Engineering and Technology
ISBN:9781785619199

Utforska kategorier

Mer om författaren

Spiros Nikolopoulos is a senior researcher at the Centre for Research and Technology Hellas (CERTH) in the Information Technologies Institute (ITI) Greece. Brain-computer interfaces based on EEG analysis is classified among his main research interests, leading the brain-related activities of his lab. He is the co-author of 22 papers in refereed journals, 9 book chapters and more than 55 conference papers in international conferences.Chandan Kumar is a post-doctoral researcher, leading the working group of Interactive Web and Human Computing at the Institute for Web Science and Technologies, Koblenz, Germany. His research interests combine the interdisciplinary fields of eye tracking, Web, geovisualization, and human-computer interaction. His research work has been recognized at several international venues with more than 40 publications at peer-reviewed conferences, journals and workshops.Ioannis Kompatsiaris is a senior researcher at the Centre for Research and Technology Hellas (CERTH) in the Information Technologies Institute (ITI) Greece, where he leads the Multimedia, Knowledge and Social Media Analytics Lab. He is the co-author of 129 papers in refereed journals, 46 book chapters, 8 patents and more than 420 papers in international conferences. He is a senior member of IEEE and member of ACM.

Innehållsförteckning

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