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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...
| Clasificación: | Libro Electrónico |
|---|---|
| Otros Autores: | , , |
| Formato: | Electrónico eBook |
| Idioma: | Inglés |
| Publicado: |
London, UK :
The Institution of Engineering and Technology,
2020.
©2020 |
| Colección: | IET control, robotics and sensors series ;
129. |
| Temas: | |
| Acceso en línea: | Texto completo |
MARC
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| 019 | |a 1157090261 | ||
| 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 | ||
| 050 | 4 | |a TK5102.9 |b .S54 2020 | |
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| 049 | |a UAMI | ||
| 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. | |
| 588 | 0 | |a Online resource; title from PDF title page (IET, viewed June 25, 2020). | |
| 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 ACADEMIC - Optics & Photonics | ||
| 590 | |a Knovel |b ACADEMIC - Software Engineering | ||
| 650 | 0 | |a Signal processing. | |
| 650 | 0 | |a Human-computer interaction. | |
| 650 | 0 | |a Biomedical engineering. | |
| 650 | 6 | |a Traitement du signal. | |
| 650 | 6 | |a Génie biomédical. | |
| 650 | 7 | |a biomedical engineering. |2 aat | |
| 650 | 7 | |a Biomedical engineering |2 fast | |
| 650 | 7 | |a Human-computer interaction |2 fast | |
| 650 | 7 | |a Signal processing |2 fast | |
| 650 | 7 | |a brain-computer interfaces. |2 inspect | |
| 650 | 7 | |a electroencephalography. |2 inspect | |
| 650 | 7 | |a gaze tracking. |2 inspect | |
| 650 | 7 | |a handicapped aids. |2 inspect | |
| 650 | 7 | |a home computing. |2 inspect | |
| 650 | 7 | |a human computer interaction. |2 inspect | |
| 650 | 7 | |a learning (artificial intelligence). |2 inspect | |
| 650 | 7 | |a medical signal processing. |2 inspect | |
| 650 | 7 | |a multimedia computing. |2 inspect | |
| 650 | 7 | |a patient rehabilitation. |2 inspect | |
| 650 | 7 | |a visual evoked potentials. |2 inspect | |
| 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://appknovel.uam.elogim.com/kn/resources/kpSPDHCIE5/toc |z Texto completo |
| 938 | |a YBP Library Services |b YANK |n 16801068 | ||
| 938 | |a Askews and Holts Library Services |b ASKH |n AH36748678 | ||
| 938 | |a ProQuest Ebook Central |b EBLB |n EBL6219845 | ||
| 938 | |a EBSCOhost |b EBSC |n 2483357 | ||
| 994 | |a 92 |b IZTAP | ||