Research not for publishing papers, but for fun, for satisfying curiosity, and for revealing the truth.

This blog reports latest progresses in
(1) Signal Processing and Machine Learning for Biomedicine, Neuroimaging, Wearable Healthcare, and Smart-Home
(2) Sparse Signal Recovery and Compressed Sensing of Signals by Exploiting Spatiotemporal Structures
(3) My Works


Thursday, March 22, 2012

Our three papers on BCI published in the Proceedings of the IEEE

In this May, the Proceedings of the IEEE will publish a special centennial celebration issue: Reviewing the Past, the Present, and the Future of Electrical Engineering Technology. In this issue our lab and our collaborative labs have three papers on brain-computer interface (BCI). They are:

Brent J. Lance, Scott E. Kerick, Anthony J. Ries, Kelvin S. Oie, and Kaleb McDowell, Brain-Computer Interface Technologies in the Coming Decades.

This paper focuses on using online brain–signal processing to enhance human–computer interactions; it highlights past and current BCI applications and proposes future technologies that will make significant expansion into education, entertainment, rehabilitation, and human–system performance domains.


Lun-De Liao, Chin-Teng Lin, Kaleb McDowell, Alma E. Wickenden, Klaus Gramann, Tzyy-Ping Jung, Li-Wei Ko, and Jyh-Yeong Chang, Biosensor Technologies for Augmented Brain-Computer Interfaces in the Next Decades.

This paper focuses on recent and projected advances of a wide range of sensor and acquisition neurotechnologies enabling online brain–signal processing in everyday, real-life environments, and highlights current and future approaches to address the challenges in this field. 


Scott Makeig, Christian Kothe, Tim Mullen, Nima Bigdely-Shamlo, Zhilin Zhang, Kenneth Kreutz-Delgado, Evolving Signal Processing for Brain-Computer Interface

This paper discuss the challenges associated with building robust and useful BCI models from accumulated biological knowledge and data, and the technical problems associated with incorporating multimodal physiological, behavioral, and contextual data that may become ubiquitous in the future.

The third paper has been introduced in my previous post. Now the final version can be downloaded from here.

The first two papers can be downloaded from the IEEE Xplore.

My comments: When talking about BCI, many people just think of such a scenario: a person, wearing a strange cap with electrodes, is sitting in front of a computer screen, watching the symbols appeared in the screen. But this is a traditional BCI. In fact, the BCI concept is largely widened now. Scott once gave a talk on one of the future directions, titled " Imaging Human Agency with Mobile Brain/Body Imaging (MoBI) ". The video is here http://sccn.ucsd.edu/eeglab/Online_EEGLAB_Workshop/EEGLAB12_MoBI.html

This direction is very important. In fact, I strongly feel such technique can open new worlds in several fields and encourage the hybrid of some traditional fields.


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