Intelligent Grasping Classification Method for a Smart Prosthetic Hand

southeastcon(2018)

引用 2|浏览9
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摘要
The main contribution of this work is the development and evaluation of the first step of a novel approach for a prosthetic hand to learn motor skills for more effective and fast object manipulation and grasping. Inspired from how initially untrained muscles acquire newly formed motor skills in neuromuscular brain development process, we try to implement an intelligent way of making a prosthetic hand be able to learn motor skills through a babbling stage. The ability of learning motor skills by the smart hand will decrease the need for amputeeu0027s attention and increase the efficiency of the manipulation and grasping of objects. In this study, objectu0027s distances and hand orientation data are used for classifications to more effective and fast object manipulation and grasping.
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关键词
component, smart prosthetic, robotics, mechatronics, intelligent control
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