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

Author:

Karrenbach MaximORCID,Boe David,Sie Astrini,Bennett RobORCID,Rombokas EricORCID

Publisher

Institute of Electrical and Electronics Engineers (IEEE)

Subject

Biomedical Engineering,General Neuroscience,Internal Medicine,Rehabilitation

Reference35 articles.

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5. Testing the concurrent validity of a naturalistic upper extremity reaching task

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1. i‐MYO: A multi‐grasp prosthetic hand control system based on gaze movements, augmented reality, and myoelectric signals;The International Journal of Medical Robotics and Computer Assisted Surgery;2023-12-30

2. Robotic prosthetic hand with a mechanism for wrist rotation using the center of grasping force of the fingers;2023 IEEE International Conference on Robotics and Biomimetics (ROBIO);2023-12-04

3. Outlier-Robust Gaze Signal Filtering Framework Based on Eye-Movement Modality Recognition and Set-Membership Approach;IEEE Transactions on Biomedical Engineering;2023-08

4. Non-Intrusive Real Time Eye Tracking Using Facial Alignment for Assistive Technologies;IEEE Transactions on Neural Systems and Rehabilitation Engineering;2023

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