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- W2911442955 abstract "This paper presents a study control of an electric wheelchair based on ElectroEncephaloGraphy (EEG). The directions of wheelchair are controlled by eye activities. A mean threshold algorithm is proposed to detect eye activities using EEG technique. The activities of eyes such as blinking two eyes, glanced left and glanced right related to the delta area of human brain are investigated. Before analyzing the EEG data, original data are filtered to reduce noise or artifacts by a band-pass filter. The proposed threshold method is applied to distinguish the phenomenon of eye activities. This study is useful for creating a BCI system such as wheelchair control. Experimental results show that the proposed threshold approach is the effectiveness." @default.
- W2911442955 created "2019-02-21" @default.
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- W2911442955 date "2013-09-30" @default.
- W2911442955 modified "2023-09-25" @default.
- W2911442955 title "Control of electric wheelchair by eye activities using eeg technique" @default.
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- W2911442955 doi "https://doi.org/10.32508/stdj.v16i4.1608" @default.
- W2911442955 hasPublicationYear "2013" @default.
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