NDLI: Spatial filter adaptation based on geodesic-distance for motor EEG classification

Content Provider	IEEE Xplore Digital Library
Author	Xinyang Li Cuntai Guan Kai Keng Ang Haihong Zhang Sim Heng Ong
Copyright Year	2014
Description	Author affiliation: NUS Grad. Sch. for Integrative Sci. & Eng., NUS, Singapore, Singapore (Xinyang Li) \|\| Dept. of Electr. & Comput. Eng., NUS, Singapore, Singapore (Sim Heng Ong) \|\| Inst. for Infocomm Res., ASTAR, Singapore, Singapore (Cuntai Guan; Kai Keng Ang; Haihong Zhang)
Abstract	The non-stationarity inherent across sessions recorded on different days poses a major challenge for practical electroencephalography (EEG)-based Brain Computer Interface (BCI) systems. To address this issue, the computational model trained using the training data needs to adapt to the data from the test sessions. In this paper, we propose a novel approach to compute the variations between labelled training data and a batch of unlabelled test data based on the geodesic-distance of the discriminative subspaces of EEG data on the Grassmann manifold. Subsequently, spatial filters can be updated and features that are invariant against such variations can be obtained using a subset of training data that is closer to the test data. Experimental results show that the proposed adaptation method yielded improvements in classification performance.
Starting Page	3859
Ending Page	3864
File Size	679435
Page Count	6
File Format	PDF
ISSN	21614407
e-ISBN	9781479914845
DOI	10.1109/IJCNN.2014.6889686
Language	English
Publisher	Institute of Electrical and Electronics Engineers, Inc. (IEEE)
Publisher Date	2014-07-06
Publisher Place	China
Access Restriction	Subscribed
Rights Holder	Institute of Electrical and Electronics Engineers, Inc. (IEEE)
Subject Keyword	Training Electroencephalography Training data Covariance matrices Brain modeling Manifolds Computational modeling
Content Type	Text
Resource Type	Article

Sl.	Authority	Responsibilities	Communication Details
1	Ministry of Education (GoI), Department of Higher Education	Sanctioning Authority	https://www.education.gov.in/ict-initiatives
2	Indian Institute of Technology Kharagpur	Host Institute of the Project: The host institute of the project is responsible for providing infrastructure support and hosting the project	https://www.iitkgp.ac.in
3	National Digital Library of India Office, Indian Institute of Technology Kharagpur	The administrative and infrastructural headquarters of the project	Dr. B. Sutradhar bsutra@ndl.gov.in
4	Project PI / Joint PI	Principal Investigator and Joint Principal Investigators of the project	Dr. B. Sutradhar bsutra@ndl.gov.in Prof. Saswat Chakrabarti will be added soon
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