Improving Automatic Control of Upper-Limb Prosthesis Wrists Using Gaze-Centered Eye Tracking and Deep Learning

• Główni autorzy: Maxim Karrenbach (Autor), David Boe (Autor), Astrini Sie (Autor), Rob Bennett (Autor), Eric Rombokas (Autor)
• Format: Książka
• Wydane: IEEE, 2022-01-01T00:00:00Z.
• Hasła przedmiotowe: article
• Dostęp online: Connect to this object online.

Many upper-limb prostheses lack proper wrist rotation functionality, leading to users performing poor compensatory strategies, leading to overuse or abandonment. In this study, we investigate the validity of creating and implementing a data-driven predictive control strategy in object grasping tasks...