Electroencephalography (EEG) for biometric authentication
		  has received some attention in recent years. In this paper,
		  we explore the effect of three simple EEG related
		  authentication tasks, namely resting, thinking about a
		  picture, and moving a single finger, on mobile, low-cost,
		  single electrode based EEG authentication. We present
		  details of our authentication pipeline, including
		  extracting features from the frequency power spectrum and
		  MFCC, and training a multilayer perceptron classifier for
		  authentication. For our evaluation we record an EEG dataset
		  of 27 test subjects. We use a baseline, task-agnostic, and
		  task-specific evaluation setup to investigate if different
		  tasks can be used in place of each other for
		  authentication. We further evaluate if tasks themselves can
		  be told apart from each other. Evaluation results suggest
		  that tasks differ, hence to some extent are
		  distinguishable, as well as that our authentication
		  approach can work in a task-specific as well as in a
		  task-agnostic manner.<br>
<br><pre>@article{Haukipuro_19_MobileBrainwavesInterchangeability,
  author = {Haukipuro, Eeva-Sofia and Kolehmainen, Ville and Myll\"arinen, Janne and Remander, Sebastian and Salo, Janne and Takko, Tuomas and Nguyen, {Le Ngu} and Sigg, Stephan and Findling, {Rainhard Dieter}},
  title = {Mobile Brainwaves: On the Interchangeability of Simple
  		  Authentication Tasks with Low-Cost, Single-Electrode EEG
  		  Devices},
  journal = {IEICE Transactions on Communications, Special Section on
  		  Sensing, Wireless Networking, Data Collection, Analysis and
  		  Processing Technologies for Ambient Intelligence with
  		  Internet of Things},
  year = {2019},
  volume = {E102-B},
  number = {4},
  month = apr,
  doi = {https://doi.org/10.1587/transcom.2018SEP0016},
  keywords = {biometrics, classification, EEG, mobile, user
  		  authentication},
  url = {https://www.jstage.jst.go.jp/article/transcom/advpub/0/advpub_2018SEP0016/_article/-char/en}
}
</pre>