Abstract This paper describes the development and testing of an interface system whereby one can control external devices by voluntarily controlling alpha waves that is through eye movement. Such a system may be used for the control of prosthetics robotic arms and external devices like wheelchairs using the alpha brain waves and the Mu rhythm. The response generated through the movement of the eye detecting and controlling the amplitude of the alpha brain waves is interfaced and processed to control Robotic systems and smart home control. In order to measure the response of alpha waves over different lobes of the brain initially I measured these signals over 32 regions using silver chloride plated electrodes. By the opening and the closure...
This paper presented the technique of robot control by event-related potentials (ERPs) of brain wave...
In the project we are demonstrating the combined usage Augmented Reality(AR) and brain faced com- pu...
The highly parallel neurophysiological recordings and the increasing number of signal processing too...
Non-invasive BMI applications are increasingly used in different contexts ranging from industrial, c...
A brain-machine interface (BMI) uses signals from the brain to control electronic devices. One appl...
A brain-machine interface (BMI) uses signals from the brain to control electronic devices. One appl...
This paper describes the Mind Controlled Robot based on Brain Computer Interface (BCI) using LabVIEW...
ANIMA has as a primary objective to compare three non conventional human computer interfaces that co...
The highly parallel neurophysiological recordings and the increasing number of signal processing too...
This paper introduces proposed system which gives control of robot using brain signals (EEG) based o...
People with partial or complete paralysis are usually dependent on nursing staff to cope with their ...
The purpose of this project is to expand the capabilities of an existing interface of controlling a ...
Brain-robot interface (BRI) has been a growing field of innovative research and development in cogni...
The highly accurate BCI using alpha waves was developed for controlling the robot arm, and real-time...
International audienceBrain Machine Interfaces (BMI) have become of interest during the past years. ...
This paper presented the technique of robot control by event-related potentials (ERPs) of brain wave...
In the project we are demonstrating the combined usage Augmented Reality(AR) and brain faced com- pu...
The highly parallel neurophysiological recordings and the increasing number of signal processing too...
Non-invasive BMI applications are increasingly used in different contexts ranging from industrial, c...
A brain-machine interface (BMI) uses signals from the brain to control electronic devices. One appl...
A brain-machine interface (BMI) uses signals from the brain to control electronic devices. One appl...
This paper describes the Mind Controlled Robot based on Brain Computer Interface (BCI) using LabVIEW...
ANIMA has as a primary objective to compare three non conventional human computer interfaces that co...
The highly parallel neurophysiological recordings and the increasing number of signal processing too...
This paper introduces proposed system which gives control of robot using brain signals (EEG) based o...
People with partial or complete paralysis are usually dependent on nursing staff to cope with their ...
The purpose of this project is to expand the capabilities of an existing interface of controlling a ...
Brain-robot interface (BRI) has been a growing field of innovative research and development in cogni...
The highly accurate BCI using alpha waves was developed for controlling the robot arm, and real-time...
International audienceBrain Machine Interfaces (BMI) have become of interest during the past years. ...
This paper presented the technique of robot control by event-related potentials (ERPs) of brain wave...
In the project we are demonstrating the combined usage Augmented Reality(AR) and brain faced com- pu...
The highly parallel neurophysiological recordings and the increasing number of signal processing too...