- author = "Takeshi Tsujimura and Takahiro Hashimoto and Kiyotaka Izumi",
- booktitle = "International Conference on Applied Electronics (AE 2014)",
- title = "Genetic reasoning for finger sign identification based on forearm electromyogram",
- year = "2014",
- month = sep,
- pages = "297--302",
- abstract = "This paper proposes a meta-heuristic data-clustering application to identify finger signs only by measuring surface electromyogram (EMG) of a forearm. It classifies EMG signal patterns peculiar to finger signs. Genetic programming learns intensity characteristics of EMG signals, and creates classification algorithm. Three typical finger signs are evaluated in terms of generated EMG. Experiments are conducted to reveal the successful identification of finger signs in real time.",
- keywords = "genetic algorithms, genetic programming",
-
DOI = "
doi:10.1109/AE.2014.7011724",
- ISSN = "1803-7232",
-
notes = "Department of Mechanical Engineering, Saga University,
840-8502 Japan
Also known as \cite{7011724}",
