Chapter

Foundations of Augmented Cognition

Volume 8027 of the series Lecture Notes in Computer Science pp 649-655

A Practical Mobile Dry EEG System for Human Computer Interfaces

  • Yu M. ChiAffiliated withCognionics, Inc.
  • , Yijun WangAffiliated withUniversity of California
  • , Yu-Te WangAffiliated withUniversity of California
  • , Tzyy-Ping JungAffiliated withUniversity of California
  • , Trevor KerthAffiliated withCognionics, Inc.
  • , Yuchen CaoAffiliated withCognionics, Inc.

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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.