• search
    search
  • reviewers
    reviewers
  • feeds
    feeds
  • assignments
    assignments
  • settings
  • logout

A Deep Learning Approach for the Segmentation of Electroencephalography Data in Eye Tracking Applications.

Lukas WolfArd KastratiMartyna Beata PlomeckaJie-Ming LiDustin KlebeAlexander VeichtRoger WattenhoferNicolas Langer
Published in: CoRR (2022)
Keyphrases
  • eye tracking
  • eye tracking data
  • deep learning
  • training data
  • data analysis
  • data points
  • segmentation algorithm
  • eye movements
  • multiscale
  • level set
  • eye tracker