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Brain-Computer Interfaces: Applying our Minds to Human-Computer Interaction (Human–Computer Interaction Series Book 0)

Desney Tan, Anton Nijholt (auth.), Desney S. Tan, Anton Nijholt (eds.)

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مشخصات کتاب

سال انتشار
۲۰۱۰
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PDF
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انگلیسی
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۳٫۲ مگابایت

دربارهٔ کتاب

For generations, humans have fantasized about the ability to create devices that can see into a person’s mind and thoughts, or to communicate and interact with machines through thought alone. Such ideas have long captured the imagination of humankind in the form of ancient myths and modern science fiction stories. Recent advances in cognitive neuroscience and brain imaging technologies have started to turn these myths into a reality, and are providing us with the ability to interface directly with the human brain. This ability is made possible through the use of sensors that monitor physical processes within the brain which correspond with certain forms of thought. Brain-Computer Interfaces: Applying our Minds to Human-Computer Interaction broadly surveys research in the Brain-Computer Interface domain. More specifically, each chapter articulates some of the challenges and opportunities for using brain sensing in Human-Computer Interaction work, as well as applying Human-Computer Interaction solutions to brain sensing work. For researchers with little or no expertise in neuroscience or brain sensing, the book provides background information to equip them to not only appreciate the state-of-the-art, but also ideally to engage in novel research. For expert Brain-Computer Interface researchers, the book introduces ideas that can help in the quest to interpret intentional brain control and develop the ultimate input device. It challenges researchers to further explore passive brain sensing to evaluate interfaces and feed into adaptive computing systems. Most importantly, the book will connect multiple communities allowing research to leverage their work and expertise and blaze into the future. Brain-computer interfaces and human-computer interaction -- Desney Tan and Anton Nijholt Neural control interfaces -- Melody Moore Jackson and Rudolph Mappus Could anyone use a BCI? -- Brendan Z. Allison and Christa Neuper Using rest class and control paradigms for brain computer interfacing -- Siamac Fazli ... [et al.] EEG-based navigation from a human factors perspective -- Marieke E. Thurlings ... [et al.] Applications for brain-computer interfaces -- Melody Moore Jackson and Rudolph Mappus Direct neural control of anatomically correct robotic hands -- Alik S. Widge, Chet T. Moritz, and Yoky Matsuoka Functional near-infrared sensing (fNIR) and environmental control applications -- Erin M. Nishimura ... [et al.] Cortically-coupled computer vision -- Paul Sajda ... [et al.] Brain-computer interfacing and games -- Danny Plass-Oude Bos ... [et al.] Enhancing human-computer interaction with input from active and passive brain-computer interfaces -- Thorsten O. Zander ... [et al.] Brain-based indices for user system symbiosis -- Jan B.F. van Erp, Hans J.A. Veltman, and Marc Grootjen From brain signals to adaptive interfaces : using fNIRS in HCI -- Audrey Girouard ... [et al.] MATLAB-based tools for BCI research -- Arnaud Delorme ... [et al.] Using BCI2000 for HCI-centered BCI research -- Adam Wilson and Gerwin Schalk. Front Matter....Pages I-XXIV Front Matter....Pages 1-1 Brain-Computer Interfaces and Human-Computer Interaction....Pages 3-19 Neural Control Interfaces....Pages 21-33 Could Anyone Use a BCI?....Pages 35-54 Using Rest Class and Control Paradigms for Brain Computer Interfacing....Pages 55-70 EEG-Based Navigation from a Human Factors Perspective....Pages 71-86 Front Matter....Pages 87-87 Applications for Brain-Computer Interfaces....Pages 89-103 Direct Neural Control of Anatomically Correct Robotic Hands....Pages 105-119 Functional Near-Infrared Sensing (fNIR) and Environmental Control Applications....Pages 121-132 Cortically-Coupled Computer Vision....Pages 133-148 Brain-Computer Interfacing and Games....Pages 149-178 Front Matter....Pages 179-179 Enhancing Human-Computer Interaction with Input from Active and Passive Brain-Computer Interfaces....Pages 181-199 Brain-Based Indices for User System Symbiosis....Pages 201-219 From Brain Signals to Adaptive Interfaces: Using fNIRS in HCI....Pages 221-237 Front Matter....Pages 239-239 MATLAB-Based Tools for BCI Research....Pages 241-259 Using BCI2000 for HCI-Centered BCI Research....Pages 261-274 Back Matter....Pages 275-277

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