publication . Article . 2016

Efficient feature for classification of eye movements using electrooculography signals

Pornchai Phukpattaranont; Siriwadee Aungsakul; Angkoon Phinyomark; Chusak Limsakul;
Open Access English
  • Published: 01 Jan 2016 Journal: Thermal Science (issn: 0354-9836, eissn: 2334-7163, Copyright policy)
  • Publisher: VINCA Institute of Nuclear Sciences
Abstract
Electrooculography (EOG) signal is widely and successfully used to detect activities of human eye. The advantages of the EOG-based interface over other conventional interfaces have been presented in the last two decades; however, due to a lot of information in EOG signals, the extraction of useful features should be done before the classification task. In this study, an efficient feature extracted from two directional EOG signals: vertical and horizontal signals has been presented and evaluated. There are the maximum peak and valley amplitude values, the maximum peak and valley position values, and slope, which are derived from both vertical and horizontal signa...
Subjects
free text keywords: electrooculography signal, eye movement, human-computer interface, Mechanical engineering and machinery, TJ1-1570, Physics, Classical mechanics, Clockwise, Computer vision, Standard deviation, Scatter plot, Human eye, medicine.anatomical_structure, medicine, Artificial intelligence, business.industry, business, Horizontal and vertical, Electrooculography, medicine.diagnostic_test, Amplitude
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