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- W335047216 abstract "The thumb enables most of the hand’s functions such as grasping, gripping and pinching. Therefore the amputation of thumb results many difficulties in object manipulation. In this paper, we present an experimental procedure for manipulating an artificial finger to regain the intuitive grasping capability after the thumb amputation. Here we demonstrate a proportional surface electromyography (s-EMG) classifier, which can be used to obtain three key factors for grasping; the motor command from of the user’s nervous system, corresponding angle of rotation and the appropriate torque. The system was tested with both amputated and non-amputated subjects. Based on experiments we offer evidence that, our strategy can be used to intuitively manipulate a prosthetic finger in real time. The system provides a dynamic, smooth and anthropomorphic manipulation of prosthetic fingers under a low training time which is around 3 - 5 seconds with afast response time around 0.5 seconds." @default.
- W335047216 created "2016-06-24" @default.
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- W335047216 date "2014-01-01" @default.
- W335047216 modified "2023-09-27" @default.
- W335047216 title "Surface Electromyography Time Series Analysis for Regaining the Intuitive Grasping Capability After Thumb Amputation" @default.
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- W335047216 doi "https://doi.org/10.1007/978-3-662-45652-1_42" @default.
- W335047216 hasPublicationYear "2014" @default.
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