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- W2000092484 abstract "The authors study on the hand gesture discernment based on the surface electromyogram of forearm. In order to discern finger shapes of the rock-paper-scissors, genetic programming technique is applied to establish the optimum classification algorithm of hand gestures by composing of arithmetic functions. We measur myoelectric potential signals of forearm related to rock-paper-scissors, and applies them to genetic evolution of hand gesture classification. We also evaluated the effects of the target number of nodes, crossover rate, mutation rate of GP parameters. Realtime hand gesture identification experiments are carried out and the typical hand gestures are actually distinguished in accuracy of 99%." @default.
- W2000092484 created "2016-06-24" @default.
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- W2000092484 date "2014-12-01" @default.
- W2000092484 modified "2023-09-22" @default.
- W2000092484 title "Myogenic potential pattern discernment method using genetic programming for hand gesture" @default.
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- W2000092484 doi "https://doi.org/10.1109/scis-isis.2014.7044713" @default.
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