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.",