NDLI: Motion direction estimation of walking base on EEG signal

Content Provider	IEEE Xplore Digital Library
Author	Nojiri, K. Iwane, F.
Copyright Year	2014
Description	Author affiliation: Grad. Sch. of Inf. Sci., Nara Inst. of Sci. & Technol., Ikoma, Japan (Iwane, F.) \|\| Dept. of Control & Inf. Syst. Eng., Kumamoto Nat. Coll. of Technol., Kumamoto, Japan (Nojiri, K.)
Abstract	In this paper, we propose the method to estimate the motion direction of walking based on brain wave activity. The signals of 11-channel as Electroencephalogram (EEG) of a motor area are measured to estimate the direction of a walking. After measuring the signals of 11-channel related to the motion of the lower limb, the several signal processing algorithm are applied for the signals. Specifically, we have used band pass filter to cut off the signal other than between 5-35[Hz], JADE as a form of Independent Component Analysis (ICA) and Multi-class Support Vector Machine (SVM) as a motion classifier. The interval of a motor area about the lower limb at two sides of the brain is very near and a motor area about it is located behind skin of scalp. Therefore, it is difficult for us to measure the EEG and cut off noises. However, we think that our proposal algorithm is effective to develop the real-time Brain Machine Interface (BMI). We performed the experiment that one subject lying down on a bed with closed eyes images the motion of walking, standing and turning the left and right direction among interval of 30 seconds, respectively. As the result of applying our algorithm, the recognition rate within 50-60[%] was achieved. But, it is necessary to increase number of subject, to verify the algorithm and to raise the precision of the rate. The final target is to reveal the estimation method of motion direction of walking by means of several kinds of experiments.
Starting Page	542
Ending Page	547
File Size	7514789
Page Count	6
File Format	PDF
e-ISBN	9781479957361
DOI	10.1109/AIM.2014.6878134
Language	English
Publisher	Institute of Electrical and Electronics Engineers, Inc. (IEEE)
Publisher Date	2014-07-08
Publisher Place	France
Access Restriction	Subscribed
Rights Holder	Institute of Electrical and Electronics Engineers, Inc. (IEEE)
Subject Keyword	Legged locomotion Electroencephalography Support vector machines Turning Feature extraction Band-pass filters
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
5	Website/Portal (Helpdesk)	Queries regarding NDLI and its services	support@ndl.gov.in
6	Contents and Copyright Issues	Queries related to content curation and copyright issues	content@ndl.gov.in
7	National Digital Library of India Club (NDLI Club)	Queries related to NDLI Club formation, support, user awareness program, seminar/symposium, collaboration, social media, promotion, and outreach	clubsupport@ndl.gov.in
8	Digital Preservation Centre (DPC)	Assistance with digitizing and archiving copyright-free printed books	dpc@ndl.gov.in
9	IDR Setup or Support	Queries related to establishment and support of Institutional Digital Repository (IDR) and IDR workshops	idr@ndl.gov.in