Eye motion-based human-machine interfaces are used to provide a means of communication for those who can move nothing but their eyes because of injury or disease. To detect eye motions, electrooculography (EOG) is used. For efficient communication, the input speed is critical. However, it is difficult for conventional EOG recognition methods to accurately recognize fast, sequentially input eye ...

Electrooculography (EOG) is a technique for detecting electrical signals from the extra-ocular muscles. The EOG precise method quantifying eye movements, including drowsiness-induced closure, and also promising technology its potential use as contributing mechanism brain–computer interface applications. Despite fact that change humans move their eyes, it still difficult to monitor movement patt...

This paper describes an eye-control method, based on electrooculography (EOG), for guiding and controlling a wheelchair for disabled people; the control is actually effected by eye movements within the socket. An eye model based on an electrooculographic signal is proposed and its validity is studied. Different techniques and guidance strategies are then shown with comments on the advantages an...

Assistive robotics are playing a vital role in advancing the quality of life for disable people. There exist wide range of systems that can control and guide autonomous mobile robots. The objective of the control system is to guide an autonomous mobile robot using the movement of eyes by means of EOG signal. The EOG signal is acquired using Ag/AgCl electrodes and this signal is processed by a m...

Biosignals will play an important role in building communication between machines and humans. One of the types of biosignals that is widely used in neuroscience are electrooculography (EOG) signals. An EOG has a linear relationship with eye movement displacement. Experiments were performed to construct a gaze motion tracking method indicated by robot manipulator movements. Three operators looke...

Performing some special tasks using electrooculography (EOG) in daily activities is being developed in various areas. In this paper, simple rotation matrixes were introduced to help the operator move a 2-DoF planar robot manipulator. The EOG sensor, NF 5201, has two output channels (Ch1 and Ch2), as well as one ground channel and one reference channel. The robot movement was the indicator that ...

There are large development efforts directed toward unobtrusive methods for the monitoring of wakefulness and sleep. When testing these devices also the reference testing method should be easy to use and analyse. It is known that frontopolar electroencephalographic (EEG) and electro-oculography (EOG) electrodes outside the hairline can be used for sleep staging. We have recently demonstrated th...

This paper presents a wheelchair navigation system based on a hidden Markov model (HMM), which we developed to assist those with restricted mobility. The semi-autonomous system is equipped with obstacle/collision avoidance sensors and it takes the electrooculography (EOG) signal traces from the user as commands to maneuver the wheelchair. The EOG traces originate from eyeball and eyelid movemen...

A novel approach using Electrooculography (EOG) signals to control human–computer interface (HCI) systems, if properly classified. The ability to measure and process these signals may help users to overcome many of the physical limitations and inconveniences in daily life. Here, describe a method used in a wireless EOG-based robot control detects eye movements in eight directions. This device i...

Recent studies in affective computing are focused on sensing human cognitive context using biosignals. In this study, electrooculography (EOG) was utilized to investigate memory recall accessibility via eye movement patterns. 12 subjects were participated in our experiment wherein pictures from four categories were presented. Each category contained nine pictures of which three were presented t...