Transhumeral Arm Reaching Motion Prediction through Deep Reinforcement Learning-Based Synthetic Motion Cloning

The lack of intuitive controllability remains a primary challenge in enabling transhumeral amputees to control a prosthesis for arm reaching with residual limb kinematics. Recent advancements in prosthetic arm control have focused on leveraging the predictive capabilities of artificial neural networ...

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Detalles Bibliográficos
Autores principales: Ahmed, Muhammad Hannan, Kutsuzawa, Kyo, Hayashibe, Mitsuhiro
Formato: Online Artículo Texto
Lenguaje:English
Publicado: MDPI 2023
Materias:
Article
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC10452356/
https://www.ncbi.nlm.nih.gov/pubmed/37622971
http://dx.doi.org/10.3390/biomimetics8040367

Internet

https://www.ncbi.nlm.nih.gov/pmc/articles/PMC10452356/
https://www.ncbi.nlm.nih.gov/pubmed/37622971
http://dx.doi.org/10.3390/biomimetics8040367

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