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High order moment features for NIRS-based classification problems

conference contribution
posted on 2023-01-27, 04:39 authored by T Hoang, D Tran, K Truong, Phuoc NguyenPhuoc Nguyen, T Vo Van, X Huang, D Sharma
This paper aims to experiment high order moment features in two well-known problems which are motor imagery and person authentication in Brain Computer Interface (BCI) systems using Near Infrared Spectroscopy (NIRS) technique. To improve performance of the systems, we propose a new feature by combining 2 nd order and 4th order moments of signal together. Our results show that such the feature not only achieves very high recall and precision ratios but also is practical for online NIRS-based BCI systems. Our systems can achieve recall and precision ratio at 99.2% for the left-hand and right-hand imagery problem, and up to 100% for the person authentication problem. © 2013 IFMBE.

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Volume

40 IFMBE

Pagination

4 - 7

ISSN

1680-0737

ISBN-13

9783642321825

Publication classification

E1.1 Full written paper - refereed

Title of proceedings

IFMBE Proceedings

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