Hand sign classification techniques based on forearm electromyogram signals

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

@InProceedings{Tsujimura:2015:ICIEV,
  author =       "Takeshi Tsujimura and Kosuke Urata and 
                 Kiyotaka Izumi",
  booktitle =    "2015 International Conference on Informatics,
                 Electronics Vision (ICIEV)",
  title =        "Hand sign classification techniques based on forearm
                 electromyogram signals",
  year =         "2015",
  abstract =     "This paper describes classification techniques to
                 distinguish hand signs based only on electro-myogram
                 signals of a forearm. Relationship between finger
                 gesture and forearm electro myogram is investigated by
                 two signal processing approaches; an empirical
                 thresholding method and meta heuristic method. The
                 former method judges muscle activity according to the
                 criteria experimentally determined in advance, and
                 evaluates activity pattern of muscles. The latter
                 learns the electromyogram characteristics and
                 automatically creates classification algorithm applying
                 genetic programming. Discrimination experiments of
                 typical hand signs are carried out to evaluate the
                 effectiveness of the proposed methods.",
  keywords =     "genetic algorithms, genetic programming",
  DOI =          "doi:10.1109/ICIEV.2015.7334031",
  month =        jun,
  notes =        "Dept. of Mech. Eng., Saga Univ., Saga, Japan

                 Also known as \cite{7334031}",
}

Genetic Programming entries for Takeshi Tsujimura Kosuke Urata Kiyotaka Izumi

Citations