Fingerspelling translation based on forearm electoromyogram

Created by W.Langdon from gp-bibliography.bib Revision:1.4208

  author =       "Daisuke Tsutiya and Takeshi Tsujimura and 
                 Kiyotaka Izumi",
  booktitle =    "2016 55th Annual Conference of the Society of
                 Instrument and Control Engineers of Japan (SICE)",
  title =        "Fingerspelling translation based on forearm
  year =         "2016",
  pages =        "944--949",
  abstract =     "In this paper, We designed a finger-spelling
                 identification system based on surface electromyogram
                 and genetic programming. Identification algorithm is
                 generated by learning AIEMG signals of finger spellings
                 using genetic programming. Some experiments are carried
                 out to classify five Japanese characters to verify
                 usefulness of the identification functions. A result of
                 the identification, the identification rate for
                 learning in all of the finger characters is 100percent.
                 Identification rate of the test is totally 84percent.",
  keywords =     "genetic algorithms, genetic programming",
  DOI =          "doi:10.1109/SICE.2016.7749228",
  month =        sep,
  notes =        "Also known as \cite{7749228}",

Genetic Programming entries for Daisuke Tsutiya Takeshi Tsujimura Kiyotaka Izumi