Fingerspelling translation based on forearm electoromyogram

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@InProceedings{Tsutiya:2016:SICE,

• 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 electoromyogram",
• 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

Citations