Myogenic potential pattern discernment method using genetic programming for hand gesture

Created by W.Langdon from gp-bibliography.bib Revision:1.3973

@InProceedings{Hashimoto:2014:SCIS-ISIS,
  author =       "Takahiro Hashimoto and Takeshi Tsujimura and 
                 Kiyotaka Izumi",
  booktitle =    "SCIS and ISIS 2014",
  title =        "Myogenic potential pattern discernment method using
                 genetic programming for hand gesture",
  year =         "2014",
  month =        dec,
  pages =        "643--648",
  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 measure 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
                 99percent.",
  keywords =     "genetic algorithms, genetic programming",
  DOI =          "doi:10.1109/SCIS-ISIS.2014.7044713",
  notes =        "Dept. of Mech. Eng., Saga Univ., Saga, Japan

                 Also known as \cite{7044713}",
}

Genetic Programming entries for Takahiro Hashimoto Takeshi Tsujimura Kiyotaka Izumi

Citations