Abstract
This paper presents the design of an anthropomorphic artificial hand called SJT-3 towards neural-controlled prosthetic applications, focusing on mechanism and local control. The hand has 5 fingers, 15 joints and 6 intrinsic motors, and is similar to a human hand in appearance, size and weight. The hand can achieve various basic grasps and common gestures, required in daily life. It is connected with a 3-DOF artificial forearm. A local controller integrated in the prosthesis based on master-slave structure is adopted in order to keep the dexterity under the limited inputs of current neural interface. The prototype has been developed, and evaluated with a surface EMG interface.
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Li, S., Sheng, X., Zhang, J., Zhu, X. (2012). Design of an Anthropomorphic Prosthetic Hand towards Neural Interface Control. In: Su, CY., Rakheja, S., Liu, H. (eds) Intelligent Robotics and Applications. ICIRA 2012. Lecture Notes in Computer Science(), vol 7506. Springer, Berlin, Heidelberg. https://doi.org/10.1007/978-3-642-33509-9_51
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DOI: https://doi.org/10.1007/978-3-642-33509-9_51
Publisher Name: Springer, Berlin, Heidelberg
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