Sensorimotor Based Brain Computer Interface

Effect of Normalizer Adaptation on Accuracy in a Sensorimotor Based Brain-Computer Interface

Sensorimotor (also know as mu) rhythm based brain-computer interfaces (BCIs) are a tool for controlling electronic devices using only brain signals. Often, the computer software that analyzes mu-rhythm brain signals constantly adapts to the individual user's brain signals when the training target location is known. The investigators want the BCIs to be more universal, and not depend on knowing the target location. Therefore, the investigators will test the effect removing adaptation has on accuracy of using a mu-rhythm BCI.

Inclusion Criteria:

• Age 18 or older.
• Able to read text on a computer screen
• Able to understand and remember instructions concerning participation.

Exclusion Criteria:

• Unable give informed consent.
• Unable to understand and follow instructions.
• Have abnormal tone or uncontrolled movements in the head-and-neck that would interfere with EEG recordings.
• Known to have photosensitive epilepsy.
• Open head lesions or sores.