Enhancing Human-Robot Interaction: Riemannian Classification and Clustering for Error Potential Detection and Error Occurrence Estimation
Résumé
Our approach uses EEG signals to detect the occurrence of errors deliberately introduced during flexion and extension with an orthosis device, as well as to estimate the timing of these errors. It has been developed and tested on the IntEr-HRI competition dataset [Kueper et al., 2023].
Domaines
NeurosciencesOrigine | Fichiers produits par l'(les) auteur(s) |
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