A non-invasive EEG-based Brain-Machine Interface for the control of myoelectric prostheses - Archive ouverte HAL Accéder directement au contenu
Poster De Conférence Année : 2023

A non-invasive EEG-based Brain-Machine Interface for the control of myoelectric prostheses

Résumé

A large extent of the literature is dedicated to the control of robotic arms using invasive brain-machine interfaces (BMI) for people with tetraplegia. There are fewer examples reporting the use of non-invasive techniques for the control of prosthesis by people with amputation like the work we are presenting here. Our system combines an electroencephalography (EEG) recording system and a sensory feedback device to control a Myobock prosthesis. We studied the control performance of this BMI based control system when used by amputees and able-bodied people.
Fichier principal
Vignette du fichier
Poster_BCIMeeting2023.pdf (19.33 Mo) Télécharger le fichier
Origine Fichiers produits par l'(les) auteur(s)

Dates et versions

hal-04315008 , version 1 (29-11-2023)

Identifiants

  • HAL Id : hal-04315008 , version 1

Citer

Corentin Piozin, Lisa Bouarroudj, Jean-Yves Audran, Brice Lavrard, Catherine Simon, et al.. A non-invasive EEG-based Brain-Machine Interface for the control of myoelectric prostheses. BCI ((Brain-Computer Interface ) Meeting 2023, Jun 2023, Bruxelles, Belgium. ⟨hal-04315008⟩

Collections

CNRS UP-SCIENCES
17 Consultations
2 Téléchargements

Partager

Gmail Mastodon Facebook X LinkedIn More