Improving the real-time control of a non-invasive Brain-Machine Interface using a finite-state machine design
Résumé
The goal of developing a Brain-Machine Interface (BMI) control system for medical prosthetics is to provide robust, comfortable and easy-to-use devices for the concerned user. They need to be fast and have high performance in estimating the user’s intention in real-time.Yet, the transition from o ine to online settings often proves to be challenging (Deo et al., 2023), with a drop in performance when testing the BMI system in the latter. In the literature, there are numerous examples of methods and techniques aimed at targeting this issue, here applied to the control of a prosthetic hand.
| Origine | Fichiers produits par l'(les) auteur(s) |
|---|---|
| Licence |
