sEMG based hand gesture recognition for rehabilitation prosthetics based on machine learning methods
Abstract: The human hand plays a crucial role in daily activities, and individuals experiencing dysfunction due to strokes or accidents often require therapy to enhance their condition. The usage of ...
Abstract: In this paper, we propose a modular soft-rigid hybrid (MSRH) approach for designing a highly anthropomorphous and dexterous robotic hand. This MSRH approach allows the robotic hand to ...
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