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A Wrapper Feature Selection Algorithm: An Emotional Assessment Using Physiological Recordings from Wearable Sensors.

Inma Mohino-Herranz1, Roberto Gil-Pita1, Joaquín García-Gómez1

  • 1Department of Signal Theory and Communications, University of Alcalá, Alcalá de Henares, 28805 Madrid, Spain.

Sensors (Basel, Switzerland)
|January 16, 2020
PubMed
Summary

This study introduces a novel k-fold approach for real-time emotional state analysis using biosignals. The method enhances classification accuracy and reduces computational cost for wearable systems.

Keywords:
emotional assessmentfeature selectionphysiological signal

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