Title Signal processing to drive human-computer interaction : EEG and eye-controlled interfaces / edited by Spiros Nikolopoulos, Chandan Kumar and Ioannis Kompatsiaris

Published London, UK : The Institution of Engineering and Technology, 2020 ©2020

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Description 1 online resource (xii, 291 pages) : illustrations (mostly color) Series IET control, robotics and sensors series ; 129 IET control, robotics and sensors series ; 129. Contents Introduction / Spiros Nikolopoulos, Chandan Kumar, and Ioannis Kompatsiaris -- The added value of EEG-based BCIs for communication and rehabilitation of people with motor impairment / Ioulietta Lazarou, Spiros Nikolopoulos, and Ioannis Kompatsiaris -- Brain-computer interfaces in a home environment for patients with motor impairment : the MAMEM use case / Sevasti Bostantjopoulou, Zoe Katsorou, and Ioannis Danglis -- Persuasive design principles and user models for people with motor disabilities / Sofia Fountoukidou, Jaap Ham, Uwe Matzat, and Cees Midden -- Eye tracking for interaction : adapting multimedia interfaces / Raphael Menges, Chandan Kumar, and Steffen Staab -- Eye tracking for interaction : evaluation methods / Chandan Kumar, Raphael Menges, Korok Sengupta, and Steffen Staab -- Machine-learning techniques for EEG data / Vangelis P. Oikonomou, Spiros Nikolopoulos, and Ioannis Kampatsiaris -- BCIs using steady-state visual-evoked potentials / Vangelis P. Oikonomou, Elisavet Chatzilari, Georgios Liaros, Spiros Nikolopoulos, and Ioannis Kompatsiaris -- BCIs using motor imagery and sensorimotor rhythms / Kostas Georgiadis, Nikos A. Laskaris, Spiros Nikolopoulos, and Ioannis Kompatsiaris -- Graph signal processing analysis of NIRS signals for brain-computer interfaces / Panagiotis C. Petrantonakis and Ioannis Kompatsiaris -- Error-aware BCIs / Fotis P. Kalaganis, Elisavet Chatzilari, Nikos A. Laskaris, Spiros Nikolopoulos, and Ioannis Kompatsiaris -- Multimodal BCIs : the hands-free Tetris paradigm / Elisavet Chatzilari, Georgios Liaros, Spiros Nikolopoulos, and Ioannis Kompatsiaris -- Conclusions / Chandan Kumar, Spiros Nikolopoulos, and Ioannis Kompatsiaris Summary In this book, the contributors show how brain-signal processing can be used to drive a human-computer interface (HCI) using processing results from a single modality or a combination. They present concrete usage scenarios and applications in multimedia interfaces, drawing on a wide range of examples covering communications and healthcare Bibliography Includes bibliographical references and index (pages 281-291) Notes Online resource; title from PDF title page (IET, viewed June 25, 2020) Subject Signal processing. Human-computer interaction. Biomedical engineering. biomedical engineering. Biomedical engineering Human-computer interaction Signal processing brain-computer interfaces. electroencephalography. gaze tracking. handicapped aids. home computing. human computer interaction. learning (artificial intelligence). medical signal processing. multimedia computing. patient rehabilitation. visual evoked potentials. Form Electronic book Author Nikolopoulos, Spiros, editor Kumar, Chandan, (Researcher), editor Kompatsiaris, Yiannis, editor. ISBN 9781785619205 1785619209

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