Noise Reduction of EEG Signal Based on Head Movement Estimation by Using Frontal Viewing Camera

$113.00 plus tax (Refund Policy)

Buy Article:

Abstract:

Recently, the use of the brain computer interface (BCI), which enables interaction with a computer via a user's electroencephalogram (EEG) signal, has been researched for several applications. Examples of such applications include control of mobile devices, analysis of the driving habits and drowsiness of drivers, diagnosis of brain diseases such as epileptic seizure, and analysis of eye fatigue on display devices. In general, several electrodes should be attached to the surface of the head in order to measure the EEG signal, but noise occurs due to the movements of the attached electrodes by the user's head movements. In order to solve this problem, we propose a new method for correctly obtaining robust EEG data from head movements. This research is novel in the following three ways. First, a user's head movements are estimated by using a frontal viewing camera attached to a wearable device. Second, in order to estimate the accurate direction and amount of head movement with successive images by the frontal viewing camera, motion vectors between the images are obtained by the Lucas-Kanade-Tomasi (LKT) method. Third, whether or not the user's head movement occurs is determined by using a user-dependent support vector machine (SVM) with two features based on the motion vectors. The experimental results showed that the proposed method could measure the EEG signals robust to the user's head movements.
More about this publication?
  • The growing interest and activity in the field of sensor technologies requires a forum for rapid dissemination of important results: Sensor Letters is that forum. Sensor Letters offers scientists, engineers and medical experts timely, peer-reviewed research on sensor science and technology of the highest quality. Sensor Letters publish original rapid communications, full papers and timely state-of-the-art reviews encompassing the fundamental and applied research on sensor science and technology in all fields of science, engineering, and medicine. Highest priority will be given to short communications reporting important new scientific and technological findings.
  • Editorial Board
  • Information for Authors
  • Subscribe to this Title
  • Terms & Conditions
  • ingentaconnect is not responsible for the content or availability of external websites
Related content

Tools

Favourites

Share Content

Access Key

Free Content
Free content
New Content
New content
Open Access Content
Open access content
Subscribed Content
Subscribed content
Free Trial Content
Free trial content
Cookie Policy
X
Cookie Policy
ingentaconnect website makes use of cookies so as to keep track of data that you have filled in. I am Happy with this Find out more