loading
Papers

Research.Publish.Connect.

Paper

Paper Unlock

Authors: Nick Merrill 1 ; Thomas Maillart 1 ; Benjamin Johnson 2 and John Chuang 1

Affiliations: 1 UC Berkeley, United States ; 2 Carnegie Mellon University, United States

ISBN: 978-989-758-085-7

Keyword(s): Bio-signal Processing, Signal Quantization, Logarithmic Binning, Calibration, Mobile Physiological Computing.

Related Ontology Subjects/Areas/Topics: Applications ; Biosignal Acquisition, Analysis and Processing ; Human-Computer Interaction ; Methodologies and Methods ; Pattern Recognition ; Physiological Computing in Mobile Devices ; Physiological Computing Systems ; Software Engineering

Abstract: This paper exhibits two methods for decreasing the time associated with training a machine learning classifier on biometric signals. Using electroencephalography (EEG) data obtained from a consumer-grade headset with a single electrode, we show that these methods produce significant gains in the computational performance and calibration time of a simple brain-computer interface (BCI) without significantly decreasing accuracy. We discuss the relevance of reduced feature vector size to the design of physiological computing applications.

PDF ImageFull Text

Download
CC BY-NC-ND 4.0

Sign In Guest: Register as new SciTePress user now for free.

Sign In SciTePress user: please login.

PDF ImageMy Papers

You are not signed in, therefore limits apply to your IP address 100.24.122.228

In the current month:
Recent papers: 100 available of 100 total
2+ years older papers: 200 available of 200 total

Paper citation in several formats:
Merrill, N.; Maillart, T.; Johnson, B. and Chuang, J. (2015). Improving Physiological Signal Classification Using Logarithmic Quantization and a Progressive Calibration Technique.In Proceedings of the 2nd International Conference on Physiological Computing Systems - Volume 1: PhyCS, ISBN 978-989-758-085-7, pages 44-51. DOI: 10.5220/0005238800440051

@conference{phycs15,
author={Nick Merrill. and Thomas Maillart. and Benjamin Johnson. and John Chuang.},
title={Improving Physiological Signal Classification Using Logarithmic Quantization and a Progressive Calibration Technique},
booktitle={Proceedings of the 2nd International Conference on Physiological Computing Systems - Volume 1: PhyCS,},
year={2015},
pages={44-51},
publisher={SciTePress},
organization={INSTICC},
doi={10.5220/0005238800440051},
isbn={978-989-758-085-7},
}

TY - CONF

JO - Proceedings of the 2nd International Conference on Physiological Computing Systems - Volume 1: PhyCS,
TI - Improving Physiological Signal Classification Using Logarithmic Quantization and a Progressive Calibration Technique
SN - 978-989-758-085-7
AU - Merrill, N.
AU - Maillart, T.
AU - Johnson, B.
AU - Chuang, J.
PY - 2015
SP - 44
EP - 51
DO - 10.5220/0005238800440051

Login or register to post comments.

Comments on this Paper: Be the first to review this paper.