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Proceedings Paper

Wearable ear EEG for brain interfacing
Author(s): Eric D. Schroeder; Nicholas Walker; Amanda S. Danko
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Paper Abstract

Brain-computer interfaces (BCIs) measuring electrical activity via electroencephalogram (EEG) have evolved beyond clinical applications to become wireless consumer products. Typically marketed for meditation and neu- rotherapy, these devices are limited in scope and currently too obtrusive to be a ubiquitous wearable. Stemming from recent advancements made in hearing aid technology, wearables have been shrinking to the point that the necessary sensors, circuitry, and batteries can be fit into a small in-ear wearable device. In this work, an ear-EEG device is created with a novel system for artifact removal and signal interpretation. The small, compact, cost-effective, and discreet device is demonstrated against existing consumer electronics in this space for its signal quality, comfort, and usability. A custom mobile application is developed to process raw EEG from each device and display interpreted data to the user. Artifact removal and signal classification is accomplished via a combination of support matrix machines (SMMs) and soft thresholding of relevant statistical properties.

Paper Details

Date Published: 8 February 2017
PDF: 6 pages
Proc. SPIE 10051, Neural Imaging and Sensing, 1005115 (8 February 2017); doi: 10.1117/12.2249416
Show Author Affiliations
Eric D. Schroeder, USAA (United States)
Nicholas Walker, USAA (United States)
Amanda S. Danko, USAA (United States)


Published in SPIE Proceedings Vol. 10051:
Neural Imaging and Sensing
Qingming Luo; Jun Ding, Editor(s)

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