EEG based real-time imaging of human brain function has many potential applications including in-line experimental design, brain state decoding, neuro-feedback, and quality control. In mobile applications these possibilities are attractive as elements in systems for personal state monitoring, while in clinical settings they can be applied when imaging in quasi-natural settings is needed. The challenges related to the ill-posed nature of the EEG imaging problem escalate in mobile real-time systems and new algorithms and the use of meta-data may be necessary to succeed. I will describe our current real-time imaging pipeline for Android smartphones and our on-going research to improve precision and robustness, and reduce complexity.
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