Prospects of Electrooculography in Human-Computer Interface Based Neural Rehabilitation for Neural Repair Patients

Electrooculography-based Human Interface for Robot Controlling

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...

Sensory System for Implementing a Human—Computer Interface Based on Electrooculography

This paper describes a sensory system for implementing a human-computer interface based on electrooculography. An acquisition system captures electrooculograms and transmits them via the ZigBee protocol. The data acquired are analysed in real time using a microcontroller-based platform running the Linux operating system. The continuous wavelet transform and neural network are used to process an...

Investigating the Neural Basis of Brain-Computer Interface (BCI)-based Stroke Rehabilitation

The application of brain-computer interfaces (BCI) shows promising results in stroke rehabilitation, but the underlying neural substrates and processes of successful BCI-based neurorehabilitation remain unclear. The goal of our present work was to identify the brain areas associated with successful visuomotor integration and motor learning (VMIL), and investigate their connection with successfu...

Development of robust electrooculography (EOG)- based human-computer interface controlled by eight- directional eye movements

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...

DESIGN AND EVALUATION OF A HUMAN-COMPUTER INTERFACE BASED ON ELECTROOCULOGRAPHY by