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- W2161206664 abstract "Controlling a dexterous myoelectric prosthetic hand with many degrees of freedom (DoFs) could be a very demanding task, which requires the amputee for high concentration and ability in modulating many different muscular contraction signals. In this work a new approach to multi-DoF control is proposed, which makes use of Principal Component Analysis (PCA) to reduce the DoFs space dimensionality and allow to drive a 15 DoFs hand by means of a 2 DoFs signal. This approach has been tested and properly adapted to work onto the underactuated robotic hand named CyberHand, using mouse cursor coordinates as input signals and a principal components (PCs) matrix taken from the literature. First trials show the feasibility of performing grasps using this method. Further tests with real EMG signals are foreseen." @default.
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- W2161206664 date "2009-09-01" @default.
- W2161206664 modified "2023-09-23" @default.
- W2161206664 title "Bio-inspired controller for a dexterous prosthetic hand based on principal components analysis" @default.
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- W2161206664 doi "https://doi.org/10.1109/iembs.2009.5333826" @default.
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