High order moment features for NIRS-based classification problems

Tuan Hoang, Dat Tran, Khoa Truong, Phuoc Nguyen, Toi Vo Van, Xu Huang, Dharmendra SHARMA

Research output: A Conference proceeding or a Chapter in BookConference contribution

2 Citations (Scopus)

Abstract

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.

Original languageEnglish
Title of host publication4th International Conference on Biomedical Engineering in Vietnam
EditorsToi Van Vo, Nguyen Bao Toan, Troung Quang Dang Khoa, Tran Ha Lien Phoung
Place of PublicationVietnam
PublisherSpringer
Pages4-7
Number of pages4
Volume40 IFMBE
ISBN (Electronic)9783642321832
ISBN (Print)9783642321825
DOIs
Publication statusPublished - 1 Jan 2013
Event4th International Conference on the Development of Biomedical Engineering in Vietnam - Ho Chi Minh City, Viet Nam
Duration: 8 Jan 201210 Jan 2012

Conference

Conference4th International Conference on the Development of Biomedical Engineering in Vietnam
CountryViet Nam
CityHo Chi Minh City
Period8/01/1210/01/12

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Hoang, T., Tran, D., Truong, K., Nguyen, P., Vo Van, T., Huang, X., & SHARMA, D. (2013). High order moment features for NIRS-based classification problems. In T. Van Vo, N. B. Toan, T. Q. D. Khoa, & T. H. L. Phoung (Eds.), 4th International Conference on Biomedical Engineering in Vietnam (Vol. 40 IFMBE, pp. 4-7). Vietnam: Springer. https://doi.org/10.1007/978-3-642-32183-2_2