Title :
Estimation of glance from EEG for cursor control
Author :
Tan, Te ; Hakenberg, Jan Philipp ; Cuntai Guan
Author_Institution :
Curtin Univ., Perth, WA, Australia
Abstract :
The variations in the electrooculogram (EOG) caused by eye motion are roughly proportional to the instantaneous horizontal and vertical glance angle. This linear correlation is exploited in systems using EOG to control software, and hardware such as artificial limbs, or wheelchairs. In these approaches, the drift in the electronics is commonly compensated by applying a high-pass filter. Consequently, the remaining EOG signal contains only blinks and rapid eye movement. However, repeating these eye gestures voluntarily is exhausting. This paper presents an algorithm that estimates the instantaneous glance of a subject from EEG signals. The subject is seated in front of a computer screen to control an application by glance. Because the visual field of interest, in this setting, is the limited area of the monitor, we can compensate the error in the glance estimate by detecting outliers. Because no high-pass filter is applied to the data, the user controls the applications by eye glance, which is comfortable and can be performed over extended periods of time. The numerical evaluation of the experiments with 12 volunteers, and video recordings of EOG controlled applications demonstrate the accuracy of our algorithm.
Keywords :
biomechanics; electro-oculography; electroencephalography; high-pass filters; medical control systems; medical signal processing; neurophysiology; numerical analysis; video signal processing; visual perception; wheelchairs; EEG signals; EOG controlled applications; EOG signal; artificial limbs; computer screen; cursor control; electrooculogram; eye gestures; eye glance; eye motion; glance estimation; high-pass filter; horizontal glance angle; instantaneous glance estimation; linear correlation; numerical evaluation; rapid eye movement; vertical glance angle; video recordings; visual field of interest; wheelchairs; Calibration; Computers; Electrodes; Electroencephalography; Electrooculography; Equations; Estimation;
Conference_Titel :
Engineering in Medicine and Biology Society (EMBC), 2013 35th Annual International Conference of the IEEE
Conference_Location :
Osaka
DOI :
10.1109/EMBC.2013.6610151