Abstract
In the assistive research area, human–computer interface (HCI) technology is used to help people with disabilities by conveying their intentions and thoughts to the outside world. Many HCI systems based on eye movement have been proposed to assist people with disabilities. However, due to the complexity of the necessary algorithms and the difficulty of hardware implementation, there are few general-purpose designs that consider practicality and stability in real life. Therefore, to solve these limitations and problems, an HCI system based on electrooculography (EOG) is proposed in this study. The proposed classification algorithm provides eye-state detection, including the fixation, saccade, and blinking states. Moreover, this algorithm can distinguish among ten kinds of saccade movements (i.e., up, down, left, right, farther left, farther right, up-left, down-left, up-right, and down-right). In addition, we developed an HCI system based on an eye-movement classification algorithm. This system provides an eye-dialing interface that can be used to improve the lives of people with disabilities. The results illustrate the good performance of the proposed classification algorithm. Moreover, the EOG-based system, which can detect ten different eye-movement features, can be utilized in real-life applications.
Highlights
Published: 17 September 2021From the time computers were invented, the means of communication between humans and computers have evolved continuously
An EOG-based human–computer interface (HCI) based on eye-movement detection is proposed to establish an alternative way to transmit information between humans and computers
The proposed system provides an eye-dialing interface that can be used by people with disabilities
Summary
From the time computers were invented, the means of communication between humans and computers have evolved continuously. Is a major research area in studying information transition methods. With the development of scientific and technological progress, computers are widely used in every area of human life. This fact provokes the progression of the HCI research area. Some extraordinary HCI technologies have been proposed [1]. These include voice recognition [2,3], visual information [4], gesture control [5,6], methods based on brain signals, and infrared head-operated joysticks [7]
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