A Practical Mobile Dry EEG System for Human Computer Interfaces

  • Yu M. Chi
  • Yijun Wang
  • Yu-Te Wang
  • Tzyy-Ping Jung
  • Trevor Kerth
  • Yuchen Cao
Conference paper

DOI: 10.1007/978-3-642-39454-6_69

Part of the Lecture Notes in Computer Science book series (LNCS, volume 8027)
Cite this paper as:
Chi Y.M., Wang Y., Wang YT., Jung TP., Kerth T., Cao Y. (2013) A Practical Mobile Dry EEG System for Human Computer Interfaces. In: Schmorrow D.D., Fidopiastis C.M. (eds) Foundations of Augmented Cognition. AC 2013. Lecture Notes in Computer Science, vol 8027. Springer, Berlin, Heidelberg

Abstract

A complete mobile electroencephalogram (EEG) system based on a novel, flexible dry electrode is presented. The wireless device features 32-channels in a soft, adjustable headset. Integrated electronics enable high resolution (24-bit, 250 samples/sec) acquisition electronics and can acquire operate for more than four hours on a single AAA battery. The system weighs only 140 g and is specifically optimized for ease of use. After training users can self-don the headset in around three minutes. Test data on multiple subjects with simultaneously acquired EEGs from a traditional wet, wired system show a very high degree of signal correlation in AEP and P300 tasks.

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Copyright information

© Springer-Verlag Berlin Heidelberg 2013

Authors and Affiliations

  • Yu M. Chi
    • 1
  • Yijun Wang
    • 2
  • Yu-Te Wang
    • 2
  • Tzyy-Ping Jung
    • 2
  • Trevor Kerth
    • 1
  • Yuchen Cao
    • 1
  1. 1.Cognionics, Inc.San DiegoUSA
  2. 2.University of CaliforniaSan Diego La JollaUSA

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