ASSETS 2004 Doctoral Consortium Investigating the Mutual Effects of Physical Training and Mu-Based Brain-Computer Interface Systems Adriane B. Davis Department of Computer Information Systems, Georgia State University E-mail: adavis@cis.gsu.edu Abstract This research seeks to investigate the possible interactions between physical training and mu-based control of brain-computer interface systems. The results of this work will provide new avenues for physical therapy and rehabilitation and spotlight the benefits of neural control of computers for both disabled and able-bodied people. Introduction and problem description Brain-computer interfaces (BCIs) provide an alternative means for controlling computers using neural input. Instead of using traditional mouse and keyboard devices that require physical input, users can employ their brain signals to accomplish a range of tasks such as environmental control and communication [3]. Various types of brain signals serve as the input to BCI systems. One such brain signal, the mu rhythm, is based on real and imagined movement. BCIs can take advantage of the difference in signal properties between idle and active imagery within the motor cortex to produce a control signal [3]. BCIs offer users with severe motor disabilities a nonmuscular channel for communication and control. However, the optimal brain signal for BCI control
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Investigating the mutual effects of physical training and mu-based brain-computer interface systems
Davis, Adriane B.
Follow ACM SIGACCESS Accessibility and Computing
, Volume (82)
Association for Computing Machinery – Jun 1, 2005
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