Search results for: FNIRS

• Physics augmented classification of fNIRS signals

  Publication

  • F. Orihuela-Espina
  • M. Rojas-Cisneros
  • S. A. Montero-Hernández
  • J. S. Garcia Salinas
  • B. Cuervo-Soto
  • J. Herrera-Vega

  - Year 2022

  Background. Predictive classification favours performance over semantics. In traditional predictive classification pipelines, feature engineering is often oblivious to the underlying phenomena. Hypothesis. In applied domains such as functional Near Infrared Spectroscopy (fNIRS), the exploitation of physical knowledge may improve the discriminative quality of our observation set. Aims. Give exemplary evidence that intervening the...

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