Brain-Computer Interfaces

Desney Tan has been a Researcher in the Visualization and Interaction Area at Microsoft Research since 2004, and now manages the Computational User Experiences group. He also holds an affiliate faculty appointment in the Department of Computer Science and Engineering at the University of Washington. Desney’s research interests include Human-Computer Interaction and Physiological Computing. In general, he spends large chunks of time applying signal processing and machine learning to recognizing noisy signals, specifically those in or on the human body, and using them in interesting ways. However, he is a somewhat schizophrenic researcher and has worked on projects in many other domains. Desney received his Bachelor of Science in Computer Engineering from the University of Notre Dame in 1996, after which he spent a couple of years building bridges and blowing things up in the Singapore Armed Forces. He later returned to Carnegie Mellon University, where he worked with Randy Pausch and earned his PhD in Computer Science in 2004. Desney was honored as one of MIT Technology Review's 2007 Young Innovators Under 35 for his work in braincomputer interfaces, as well as named one of SciFi Channel's Young Visionaries at TED 2009. For more complete CV and publications list, see: http://research.microsoft.com/~desney/cv.htm and http://research.microsoft.com/~desney/publications.htm. Anton Nijholt studied mathematics and computer science at Delft University of Technology in the Netherlands. He obtained a PhD from the Vrije Universiteit in Amsterdam in 1980 and since then he has held positions at universities in Canada, Belgium and the Netherlands before settling down as full professor of computer science at the University of Twente in the Netherlands. In 1996 he spent a sabbatical year on studying (computational) humor at the Netherlands Institute for Advanced Study in the Humanities and Social Sciences in Wassenaar, the Netherlands. Currently he is heading the HumanMedia Interaction research group at his university. His main research interests are multiparty interaction, multimodal interaction (including brain-computer interfacing), and entertainment computing. Anton Nijholt has (co-)authored many scientific papers in these areas and acted as the guest editor of various well-known journals. In the large-scale Dutch BrainGain project on brain-computer interfacing he is responsible for the research theme 'brain-computer interfacing for healthy users' with a focus on game applications. For more complete CV and publications list, see: http://wwwhome.cs.utwente.nl/~anijholt/index.php?topic=about and http://wwwhome.cs.utwente.nl/~anijholt/index.php?topic=publications

From the reviews: "Human-computer interaction (HCI) is a maturing and unfolding field of basic research and practical applications. Need a broad-based introductory survey of brain-computer interfaces (BCIs)? This collection of chapters for individuals without a background in neuroscience or brain sensing is what you need. Students and designers will find this material useful. ... Brief discussions with numerous references to more detailed research are among the strengths of this book. ... Anyone interested in BCI will want to begin with this collection." (Brad Reid, ACM Computing Reviews, February, 2011)

• Overview and Techniques.- Brain-Computer Interfaces and Human-Computer Interaction.- Neural Control Interfaces.- Could Anyone Use a BCI?.- Using Rest Class and Control Paradigms for Brain Computer Interfacing.- EEG-Based Navigation from a Human Factors Perspective.- Applications.- Applications for Brain-Computer Interfaces.- Direct Neural Control of Anatomically Correct Robotic Hands.- Functional Near-Infrared Sensing (fNIR) and Environmental Control Applications.- Cortically-Coupled Computer Vision.- Brain-Computer Interfacing and Games.- Brain Sensing in Adaptive User Interfaces.- Enhancing Human-Computer Interaction with Input from Active and Passive Brain-Computer Interfaces.- Brain-Based Indices for User System Symbiosis.- From Brain Signals to Adaptive Interfaces: Using fNIRS in HCI.- Tools.- MATLAB-Based Tools for BCI Research.- Using BCI2000 for HCI-Centered BCI Research.