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Anger-based BCI Using fNIRS Neurofeedback

Talkat UIST 2015 · 2015-11-08..11-11· [machine-learning]
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An active fNIRS neurofeedback system measures HbO left minus right signals using a Biopack optical headband and maps real‑time prefrontal asymmetry to a visual effect in a virtual 3D narrative where expressing anger makes an introduced “evil” character progressively disappear. Eleven subjects with minimal training achieve 73% individual success (58% of feedback blocks), with effects driven primarily by increased left prefrontal asymmetry, and success correlates with intent to express anger.

AI-written summary · about

  1. 0:00Introduction to anger-based BCIs
  2. 1:09Challenges in emotional BCIs
  3. 2:34Prefrontal cortex asymmetry and approach-avoidance
  4. 5:45Signal acquisition with fNIRS
  5. 7:07Neurofeedback BCI design
  6. 8:51Narrative for anger elicitation
  7. 10:19Baseline and neurofeedback mapping
  8. 11:25Real-time signal processing
  9. 12:07Neurofeedback session demo
  10. 12:50Results and individual analysis
  11. 13:32Success rates across subjects
  12. 14:33Population-level asymmetry findings
  13. 15:15Study conclusions and implications
  14. 16:17Q&A session
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