title: EOG-sEMG Human Interface for Communication.
abstract: The aim of this study is to present electrooculogram (EOG) and surface electromyogram (sEMG) signals that can be used as a human-computer interface. Establishing an efficient alternative channel for communication without overt speech and hand movements is important for increasing the quality of life for patients suffering from amyotrophic lateral sclerosis, muscular dystrophy, or other illnesses. In this paper, we propose an EOG-sEMG human-computer interface system for communication using both cross-channels and parallel lines channels on the face with the same electrodes. This system could record EOG and sEMG signals as "dual-modality" for pattern recognition simultaneously. Although as much as 4 patterns could be recognized, dealing with the state of the patients, we only choose two classes (left and right motion) of EOG and two classes (left blink and right blink) of sEMG which are easily to be realized for simulation and monitoring task. From the simulation results, our system achieved four-pattern classification with an accuracy of 95.1%.
authors.affiliation: Department of Environmental Robotics, University of Miyazaki, Miyazaki 889-2192, Japan.
authors.forename: Hiroki
authors.initials: H
authors.lastname: Tamura
authors.affiliation: Organization for Promotion of "Center of Community" Program, University of Miyazaki, Miyazaki 889-2192, Japan.
authors.forename: Mingmin
authors.initials: M
authors.lastname: Yan
authors.affiliation: Interdisciplinary Graduate School of Agriculture and Engineering, University of Miyazaki, Miyazaki 889-2192, Japan.
authors.forename: Keiko
authors.initials: K
authors.lastname: Sakurai
authors.affiliation: Department of Electrical and Systems Engineering, University of Miyazaki, Miyazaki 889-2192, Japan.
authors.forename: Koichi
authors.initials: K
authors.lastname: Tanno
mesh_terms: D000465:Algorithms; D003142:Communication; D006233:Persons with Disabilities; D004576:Electromyography; D004585:Electrooculography; D019054:Evoked Potentials, Motor / Q000502:physiology*; D005133:Eye Movements / Q000502:physiology*; D007839:Functional Laterality; D006801:Humans; D010363:Pattern Recognition, Automated; D012815:Signal Processing, Computer-Assisted; D014584:User-Computer Interface