Generalizing Upper Limb Force Modeling With Transfer Learning: A Multimodal Approach Using EMG and IMU for New Users and Conditions

Generalizing Upper Limb Force Modeling With Transfer Learning: A Multimodal Approach Using EMG and IMU for New Users and Conditions

In the field of EMG-based force modeling, the ability to generalize models across individuals could play a significant role in its adoption across a range of applications, including assistive devices, robotic and rehabilitation devices. However, current studies have predominately focused on intra-su...

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Détails bibliographiques
Auteurs principaux: Gelareh Hajian, Evan Campbell, Mahdi Ansari, Evelyn Morin, Ali Etemad, Kevin Englehart, Erik Scheme
Format: Article
Langue:English
Publié: IEEE 2024-01-01
Collection:IEEE Transactions on Neural Systems and Rehabilitation Engineering
Sujets:
High-density electromyography
force estimation
deep learning
convolutional neural networks
generalizing EMG-based force modeling
transfer learning
Accès en ligne:https://ieeexplore.ieee.org/document/10385058/

Internet

https://ieeexplore.ieee.org/document/10385058/

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