Continuous Control Paradigms for Direct Brain Interfaces

  • Authors:

  • Melody Moore Jackson;Rudolph Mappus;Evan Barba;Sadir Hussein;Girish Venkatesh;Chetna Shastry;Amichai Israeli

  • Affiliations:

  • Georgia Tech BrainLab School of Interactive Computing MC 0760, Georgia Institute of Technology, Atlanta, USA GA 30308;Georgia Tech BrainLab School of Interactive Computing MC 0760, Georgia Institute of Technology, Atlanta, USA GA 30308;Georgia Tech BrainLab School of Interactive Computing MC 0760, Georgia Institute of Technology, Atlanta, USA GA 30308;Georgia Tech BrainLab School of Interactive Computing MC 0760, Georgia Institute of Technology, Atlanta, USA GA 30308;Georgia Tech BrainLab School of Interactive Computing MC 0760, Georgia Institute of Technology, Atlanta, USA GA 30308;Georgia Tech BrainLab School of Interactive Computing MC 0760, Georgia Institute of Technology, Atlanta, USA GA 30308;Georgia Tech BrainLab School of Interactive Computing MC 0760, Georgia Institute of Technology, Atlanta, USA GA 30308

  • Venue:
  • Proceedings of the 13th International Conference on Human-Computer Interaction. Part II: Novel Interaction Methods and Techniques
  • Year:
  • 2009

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Abstract

Direct Brain Interfaces (DBIs) offer great possibilities for people with severe disabilities to communicate and control their environments. However, many DBI systems implement discrete selection, such as choosing a letter from an alphabet, which offers limited control over certain tasks. Continuous control is important for applications such as driving a wheelchair or drawing for creative expression. This paper describes two projects currently underway at the Georgia Tech BrainLab exploring continuous control interface paradigms for an EEG-based approach centered on responses from visual cortex, and functional near Infrared (fNIR) imaging of the language center of the brain.