@article{Zander_Krol_2017, title={Team PhyPA: Brain-Computer Interfacing for Everyday Human-Computer Interaction}, volume={61}, url={https://pp.bme.hu/eecs/article/view/10435}, DOI={10.3311/PPee.10435}, abstractNote={<p class="Abstract">Brain-computer interfaces can provide an input channel from humans to computers that depends only on brain activity, bypassing traditional means of communication and interaction. This input channel can be used to send explicit commands, but also to provide implicit input to the computer. As such, the computer can obtain information about its user that not only bypasses, but also goes beyond what can be communicated using traditional means. In this form, implicit input can potentially provide significant improvements to human-computer interaction. This paper describes a selection of work done by Team PhyPA (Physiological Parameters for Adaptation) at the Technische Universität Berlin to use brain-computer interfacing to enrich human-computer interaction.</p>}, number={2}, journal={Periodica Polytechnica Electrical Engineering and Computer Science}, author={Zander, Thorsten O. and Krol, Laurens R.}, year={2017}, pages={209–216} }