Abstract
In this paper, a hierarchical hardware/software architecture for controlling hand prostheses is presented. It is based on both the task planning paradigm and the central nervous system (CNS) so it can be considered as a smart tool which helps people to develop tasks. A hand prostheses prototype, with force and position sensors, controlled by myoelectric commands is used for the validation of the hierarchical control between the user and the prosthesis. The proposed hierarchical control has been validated by people without disability through grasp tasks used in daily life.
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Quinayás, C., Ruiz, A., Torres, L., Gaviria, C. (2017). Hierarchical-Architecture Oriented to Multi-task Planning for Prosthetic Hands Controlling. In: Ferrández Vicente, J., Álvarez-Sánchez, J., de la Paz López, F., Toledo Moreo, J., Adeli, H. (eds) Biomedical Applications Based on Natural and Artificial Computing. IWINAC 2017. Lecture Notes in Computer Science(), vol 10338. Springer, Cham. https://doi.org/10.1007/978-3-319-59773-7_17
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