Signal processing to drive human-computer interaction : EEG and eye-controlled interfaces

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...

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Bibliographic Details
Other Authors: Nikolopoulos, Spiros, (Editor), Kumar, Chandan, (Researcher), (Editor), Kompatsiaris, Yiannis, (Editor)
Format: eBook
Language: English
Published: London, UK : The Institution of Engineering and Technology, 2020.
©2020
Series: IET control, robotics and sensors series ; 129.
Subjects:
Signal processing.
Human-computer interaction.
Biomedical engineering.
elektronické knihy
electronic books
ISBN: 9781785619205
1785619209
1785619195
9781785619199
Physical Description: 1 online resource (xii, 291 pages) : illustrations (mostly color)

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Table of contents

LEADER 04181cam a22004572i 4500
001 kn-on1157450723
003 OCoLC
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006 m o d
007 cr cn|||||||||
008 200613t20202020xx o 000 0 eng d
040 |a YDX  |b eng  |e rda  |e pn  |c YDX  |d CUS  |d EBLCP  |d STF  |d OCLCF  |d N$T  |d OCLCO  |d K6U  |d OCLCO  |d OCLCQ  |d PSYSI  |d OCLCQ  |d OCLCO  |d OCLCL 
020 |a 9781785619205  |q (electronic bk.) 
020 |a 1785619209  |q (electronic bk.) 
020 |z 1785619195 
020 |z 9781785619199 
035 |a (OCoLC)1157450723  |z (OCoLC)1157090261 
245 0 0 |a Signal processing to drive human-computer interaction :  |b EEG and eye-controlled interfaces /  |c edited by Spiros Nikolopoulos, Chandan Kumar and Ioannis Kompatsiaris. 
264 1 |a London, UK :  |b The Institution of Engineering and Technology,  |c 2020. 
264 1 |c ©2020 
300 |a 1 online resource (xii, 291 pages) :  |b illustrations (mostly color) 
336 |a text  |b txt  |2 rdacontent 
337 |a computer  |b c  |2 rdamedia 
338 |a online resource  |b cr  |2 rdacarrier 
490 1 |a IET control, robotics and sensors series ;  |v 129 
504 |a Includes bibliographical references and index (pages 281-291). 
505 0 |a 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. 
506 |a Plný text je dostupný pouze z IP adres počítačů Univerzity Tomáše Bati ve Zlíně nebo vzdáleným přístupem pro zaměstnance a studenty 
520 |a 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. 
590 |a Knovel  |b Knovel (All titles) 
650 0 |a Signal processing. 
650 0 |a Human-computer interaction. 
650 0 |a Biomedical engineering. 
655 7 |a elektronické knihy  |7 fd186907  |2 czenas 
655 9 |a electronic books  |2 eczenas 
700 1 |a Nikolopoulos, Spiros,  |e editor. 
700 1 |a Kumar, Chandan,  |c (Researcher),  |e editor. 
700 1 |a Kompatsiaris, Yiannis,  |e editor. 
776 0 8 |i Print version:  |t SIGNAL PROCESSING TO DRIVE HUMAN-COMPUTER INTERACTION.  |d [S.l.] : INST OF ENGIN AND TECH, 2020  |z 1785619195  |w (OCoLC)1122184342 
830 0 |a IET control, robotics and sensors series ;  |v 129. 
856 4 0 |u https://proxy.k.utb.cz/login?url=https://app.knovel.com/hotlink/toc/id:kpSPDHCIE5/signal-processing-to?kpromoter=marc  |y Full text 

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