Larsen, Jakob Eg3; Stopczynski, Arkadiusz2; Stahlhut, Carsten4; Petersen, Michael Kai4; Hansen, Lars Kai3
1 Cognitive Systems, Department of Informatics and Mathematical Modeling, Technical University of Denmark2 Department of Informatics and Mathematical Modeling, Technical University of Denmark3 Copenhagen Center for Health Technology, Center, Technical University of Denmark4 Department of Applied Mathematics and Computer Science, Technical University of Denmark
We describe a smartphone brain scanner with a low-costwireless 14-channel Emotiv EEG neuroheadset interfacingwith multiple mobile devices. This personal informaticssystem enables minimally invasive and continuouscapturing of brain imaging data in natural settings. Thesystem applies an inverse Bayesian framework to spatiallyvisualize the activation of neural sources real-time in a 3Dbrain model or to visualize the power of brainwaves withinspeciﬁc frequencies. We describe the architecture of thesystem and discuss initial experiments.