This paper proposes a new approach to real-time robot controlling by integrating an Electrooculography (EOG) measuring device within humanrobot interaction (HRI). Our study focuses on controlling robots using EOG for fulfilling elementary robot activities such as basic motor movements and environment interaction. A new EOG-based HRI paradigm has been developed on the specific defined problem of...

Electrooculography biosignals (EOG) are very important for the eye orientation and eyelid movements (blinking) estimation. There are many applications of the EOG signals. Most important applications are related to the medical applications [Duchowski (2007)]. The EOG signal is used for the analysis of eye movement in the selected medical test of the eye related health problems. It is also import...

INTRODUCTION Controversy persists on the value of electrooculography (EOG) in the diagnosis of the unbalanced patient. The aim of this study has been to know the utility of EOG in the diagnosis of patients with equilibrium disorders. MATERIAL AND METHODS We have examined 1000 patients in whom EOG test has been performed for unbalance symptoms. Results have been classified in peripheric or cen...

The recorded electroencephalography (EEG) signals are usually contaminated by electrooculography (EOG) artifacts. In this project, the multivariate empirical mode decomposition (MEMD)method will be proposed to remove EOG artifacts (EOAs) from multichannel EEG signals. Firstly, the EEG signals will be decomposed by the MEMD into multiple multivariate intrinsic mode functions (MIMFs). The EOG-rel...

The occurrence of physiological artifacts generated by eye movements in electrical brain activity (electroencephalography, EEG) is a well-known problem clinical practice. In order to increase the accuracy detection during EEG examination, additional electrooculogram channels (electrooculography, EOG) with standard PC keyboard are used. EOG technique not always comfortable for patients. Another ...

This paper proposes two paradigms for controlling a robotic arm by integrating Electrooculography (EOG) and Electroencephalography (EEG) recording techniques. The purpose of our study is to develop a feasible paradigm for helping disabled persons with their every-day needs. Using EOG, the robotic arm is placed at a desired location and, by EEG, the end-effector is controlled for grasping the ob...

Vital signals like Electroencephalogram (EEG), Electrooculography (EOG), and Electroretinogram (ERG) have been used in many areas due to their effectiveness accuracy. Electrodes can obtain the signals, then they be amplified processed. This study helps people with reduced mobility paralysis Amyotrophic Lateral Sclerosis (ALS) using EOG signals. signal is effective this case because these use ey...

This paper involves a new method to control and guide mobile robots. In this case, to send different commands is used electrooculography techniques (EOG), so that, control is made by means of the ocular position (eye displacement into its orbit). This control technic can be useful in multiple applications, but in this work is used to guide a autonomous robot (wheelchair) as system to help to pe...

In this paper, we propose a novel system to analyze vigilance level combining both video and Electrooculography (EOG) features. For one thing, the video features extracted from an infrared camera include percentage of closure (PERCLOS) and eye blinks, slow eye movement (SEM), rapid eye movement (REM) are also extracted from EOG signals. For another, other features like yawn frequency, body post...

Electrooculography (EOG) signal is one of the useful biomedical signals. Development of EOG signal as a control signal has been paid more increasing interest in the last decade. In this study, we are proposing a robust classification algorithm of eight useful directional movements that it can avoid effect of noises, particularly eye-blink artifact. Threshold analysis is used to detect onset of ...