BCI2000 Videos

Two-Dimensional Control of a Robotic Arm

Tue, 19 Feb 2008 15:57:06 -0500

In this movie, a subject uses scalp-recorded sensorimotor rhythms to control a robotic arm in two dimensions (one dimension controls the thumb; the other dimension controls the other fingers). The subject’s task is to mimick hand gestures shown by a technician.

Spelling using EEG and Dasher

Fri, 1 Dec 2006 12:08:17 -0500

In this movie, a subject uses scalp-recorded sensorimotor rhythms to control a computer cursor in one dimension (up/down). The subject’s task is to select characters using the word processing software “Dasher.” The subject spells the word “hello” in 30 seconds.

Four-Target Selection Using Tactile Feedback

Wed, 15 Nov 2006 21:00:52 -0500

The subject controls movement of a cursor on the screen to select one of four targets. The subject cannot see the screen, but receives feedback on the target and the current cursor position through eight vibrotactile actuators placed on his shoulders. This video was shot during a live demonstration at the 1st MAIA Workshop in November 2006 (http://www.maia-project.org/workshop-2006.php).

BCI Control of a Domotic Assistive System

Wed, 15 Nov 2006 20:59:14 -0500

A subject demonstrates selection of an item from an icon-based menu using a 2-state BCI that is controlled by scalp-recorded mu-rhythm modulation. In a first scene, the subject turns off the light. In a second scene, the subject unlocks the front door (the person entering the room is visible in the lower left panel of the screen, monitored by a video camera). The assistive device software controls each actuator using signals communicated using wireless or powerline communication.

Rapid Identification of Motor Cortex

Sun, 15 Oct 2006 12:15:13 -0400

Electrocorticographic (ECoG) signals are recorded from 128 locations over frontal, temporal, and motor cortices, using BCI2000 software.
The subject is instructed to move the left thumb, to imagine the same action, or to rest in response to visual cues.
The BCI2000 SIGFRIED module determines activity change in mu/beta frequency bands and translates that change into the diameter of a circle at each electrode location.
Areas corresponding to thumb movement are rapidly identified.