Brain-computer interfaces (BCI) record brain signals, analyze and translate them into control commands which are relayed to output devices that carry out desired actions. These systems do not use normal neuromuscular output pathways. Actually, the principal goal of BCI systems is to provide better life style for physically-challenged people which are suffered from cerebral palsy, amyotrophic l...

In this paper, we proposed an eye-development following framework. In view of Electro-Oculography (E.O.G) innovation we recognized the sign with various bearings in eye-developments and after that broke down to comprehend what they spoke to about (e.g. level heading or vertical bearing). This empowers individuals to control applications utilizing bio-electric signs recorded from the body. In an...

In the brain computer interface (BCI) research field, a neurological occurrence is the only source of control in any BCI system. Artifacts are contrary signals that can affect with neurological phenomena. These artifacts may lead to the source of control in BCI systems. Electromyography (EMG) and electrooculography (EOG) artifacts are physiological artifacts that are carefully processed in BCI ...

This paper brings out a new technology of placing electrodes on user’s forehead around the eyes to record eye movements which is called as Electrooculography (EOG. This technology is based on the principle of recording the polarization potential or corneal-retinal potential (CRP), which is the resting potential between the cornea and the retina. This potential is commonly known as electrooculog...

Noninvasive brain/neural controlled robots are promising tools to improve autonomy and quality of life in severe paralysis, but require biosignal recordings, such as electroencephalography (EEG) electrooculography (EOG), from various sites distributed over the user's head. This limits applicability practicality noninvasive robot control on an everyday basis. It would thus be very desirable mini...

This paper describes a simple method for controlling a robotic arm with the movement of the eyes. This technique could allow people with severe disability to access robots that can help them in activities of daily living. The electrooculography technique (EOG) has been used to detect user commands that can control external devices. The proposed concept eliminates the need for continuous control...

Activity recognition is needed in different requisition, for example, reconnaissance system, patient monitoring, and human-computer interfaces. Feature selection plays an important role in activity recognition, data mining, and machine learning. In selecting subset of features, an efficient evolutionary algorithm Differential Evolution (DE), a very efficient optimizer, is used for finding infor...

Electrooculography (EOG) signal is one of the useful electro-physiological signals. The EOG signals provide information about eye movements that can be used as a control signal in human-computer interface (HCI). Usually, eight-directional movements, including up, down, right, left, up-right, up-left, down-right and down-left, are proposed. Development of the EOG signal classification has been s...

The distribution of the studies conducted between 2011-2021 in fields (Electrooculography) EOG and eye movements, wheelchair, angle, sleep state, mood estimation game application was determined according to years, most cited were examined presented. study areas are listed as Eye Movement Classification, Wheelchair, Sleep Angle, Mood State Game Applications from least number articles. When we ex...

Electrooculography (EOG) is the measurement of eye movements using surface electrodes adhered around eye. EOG systems can be designed to have an unobtrusive form-factor that ideal for tracking in free-living over long durations, but relationship between voltage and gaze direction requires frequent re-calibration as skin-electrode impedance retinal adaptation vary time. Here we propose a method ...