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Virtual Reality in Brain-Computer Interface Research

Virtual Reality in Brain-Computer Interface Research. F. Lee 1 , R. Scherer 2 , H. Bischof 1 , G. Pfurtscheller 2 1) Institute for Computer Graphics and Vision 2) Institute for Human-Computer Interfaces. Outline. Overview of Brain Computer Interface (BCI) Problems in BCI research

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Virtual Reality in Brain-Computer Interface Research

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  1. Virtual Reality in Brain-Computer Interface Research F. Lee 1, R. Scherer 2, H. Bischof 1, G. Pfurtscheller 2 1) Institute for Computer Graphics and Vision 2) Institute for Human-Computer Interfaces

  2. Outline • Overview of Brain Computer Interface (BCI) • Problems in BCI research • Studierstube combined with BCI • Experiments • Further work

  3. Brain Computer Interface • A Brain-Computer Interface is a communication system that do not depend on peripheral nerves and muscles • Applications: • Patient with severe movement disorders: Control external devices (neuroprosthesis, wheelchair) by mental focus • Entertainment (games) • Military Use (fighter pilots)

  4. Homunculus Graz BCI system • Graz-BCI system based on classification of motor imagery related brain activity changes in ongoing EEG • Electrodes placed on the scalp • Movement imagination (left hand, right hand, foot or tongue) Primary Motor Cortex Primary Somato Sensory Cortex

  5. 500ms Imagination ERD ERS Motor execution vs. Movement imagination Execution time Subject g3, 16-20 Hz Subject f7, 20-24 Hz

  6. Simplified model of the BCI system

  7. Problems in BCI Research • Time-consuming training • Which kind of movement imagination is better? • Impact of visual stimulus on the motor cortex activity and resulting EEG • Can lead to deterioration of motor imagery related EEG pattern • Correct visual feedback should help user to get more control on the own brain activity

  8. Goal • Design an accurate BCI system which needs only few training sessions • Investigation of different classification methods • Presentation of „better“ visual feedback  Studierstube (stereoscopic 3-D scene, tracking)

  9. BCI combined with Studierstube

  10. Experiments • Rotate the cube by mental focus • Feature extraction: adaptive autoregressive parameter • Feature mapping: PCA • Feedback: rotation, size, color of cube • Observation of Movement

  11. Further work • Virtual flat • Navigastion: e.g moving into bathroom

  12. Thank you for your attention

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