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Percentile range around the mean of center distance based informative transfer for motor imagery brain-computer interface

Version 2 2024-06-05, 02:10
Version 1 2019-06-25, 15:09
conference contribution
posted on 2024-06-05, 02:10 authored by Ibrahim HossainIbrahim Hossain, Abbas KhosraviAbbas Khosravi, Imali HettiarachchiImali Hettiarachchi, S Nahavandi
An ideal noninvasive electroencephalography (EEG) based brain-computer interface (BCI) is a user-friendly plug and play system where a new user does not need to go through the long training data collection process. To reduce the amount of training data required for a new user, active learning inspired informative instance transfer is investigated in this work as one of the potential solutions. In this informative transfer learning, query by committee is applied as query method to find informative samples from subjects own domain. On the other hand, percentile range around the mean of center distance (PRMCD) query method is introduced in this work as an alternative to existing entropy criterion to find informative samples from the past user's domain. The newly introduced PRMCD algorithm has reached the benchmark performance using only average 12% of whole subjective training set while the existing entropy-based algorithm has achieved the benchmark performance using average 17% of the whole subjective training set in case of 7 out of 9 subjects. For PRMCD algorithm, a new user can achieve the intended mean benchmark performance using reduced (only 50 which is 12.5%) amount of training data in general irrespective of subjects. Therefore, incorporation of PRMCD algorithm has added an important step towards the zero training BCI. It is a significant advancement for the practical application of motor imagery based BCI.

History

Pagination

1-6

Location

Rio de Janeiro, Brazil

Start date

2018-07-08

End date

2018-07-13

ISBN-13

9781509060146

Language

eng

Publication classification

E1 Full written paper - refereed

Copyright notice

2018, IEEE

Editor/Contributor(s)

[Unknown]

Title of proceedings

IJCNN 2018 : Proceedings of the 2018 International Joint Conference on Neural Networks

Event

International Neural Network Society. Conference (2018 : Rio de Janeiro, Brazil)

Publisher

Institute of Electrical and Electronics Engineers

Place of publication

Piscataway, N.J.

Series

International Neural Network Society Conference

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