Efficient feature for classification of eye movements using electrooculography signals

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Phukpattaranont Pornchai; Aungsakul Siriwadee; Phinyomark Angkoon; Limsakul Chusak;
  • Publisher: VINCA Institute of Nuclear Sciences
  • Journal: Thermal Science (issn: 0354-9836, eissn: 2334-7163)
  • Related identifiers: doi: 10.2298/TSCI151005038P
  • Subject: electrooculography signal | eye movement | human-computer interface | Mechanical engineering and machinery | TJ1-1570

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 inform... View more
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