Electroencephalogram-based Brain Controlled Robotic Wheelchair

EEG-Based Brain-Controlled Wheelchair with Four Different Stimuli Frequencies

The paper considers a non-invasive brain computer interface uses EEG-SSVEP signals over visual cortex to control electronic wheelchair movement (i.e., forward, backward, left, and right). The main goal of the paper is to help people with severe motor disabilities (i.e., spinal cord injuries) and to provide them with a new way of communication and control options. In this paper, offline analysis...

Towards a brain-controlled wheelchair prototype

In this project, a design for a non-invasive, EEG-based braincontrolled wheelchair has been developed for use by completely paralyzed patients. The proposed design includes a novel approach for selecting optimal electrode positions, a series of signal processing algorithms and an interface to a powered wheelchair. In addition, a 3D virtual environment has been implemented for training, evaluati...

Wheelchair Robotic Motion Planning

A self-paced motor imagery based brain-computer interface for robotic wheelchair control.

This paper presents a simple self-paced motor imagery based brain-computer interface (BCI) to control a robotic wheelchair. An innovative control protocol is proposed to enable a 2-class self-paced BCI for wheelchair control, in which the user makes path planning and fully controls the wheelchair except for the automatic obstacle avoidance based on a laser range finder when necessary. In order ...

Robotic rehabilitation devices based on Brain-Computer Interfaces: wheelchair and teleoperated robot

This paper describes two innovative brain-actuated applications for rehabilitation developed in the University of Zaragoza: the first one is a brainactuated wheelchair with automated navigation, and the second one is a brain-actuated robot to carry out teleoperation tasks between remote places. Briefly, the subject faces a real-time virtual reconstruction of the scenario (wheelchair) or video c...