Comparing Evolvable Hardware to Conventional Classifiers for Electromyographic Prosthetic Hand Control

Created by W.Langdon from gp-bibliography.bib Revision:1.8051

@InProceedings{gl-gr-08,

• author = "Kyrre Glette and Thiemo Gruber and Paul Kaufmann and Jim Torresen and Bernhard Sick and Marco Platzner",
• title = "Comparing Evolvable Hardware to Conventional Classifiers for Electromyographic Prosthetic Hand Control",
• booktitle = "2008 NASA/ESA Conference on Adaptive Hardware and Systems",
• year = "2008",
• pages = "32--39",
• month = "22-25 " # jun,
• publisher = "IEEE",
• keywords = "genetic algorithms, genetic programming, Cartesian Genetic Programming, ECGP, prosthetic hand control, evolvable hardware, EHW, kNN, decision trees, DT, support vector machines, SVM",
• isbn13 = "978-0-7695-3166-3",
• DOI = "doi:10.1109/AHS.2008.12",
• size = "8 pages",
• abstract = "Evolvable hardware has shown to be a promising approach for prosthetic hand controllers as it features self-adaptation, fast training, and a compact system-on-chip implementation. Besides these intriguing features, the classification performance is paramount to success for any classifier. However, evolvable hardware classifiers have not yet been sufficiently compared to state-of-the-art conventional classifiers. In this paper, we compare two evolvable hardware approaches for signal classification to three conventional classification techniques: k-nearest-neighbour, decision trees, and support vector machines. We provide all classifiers with features extracted from electromyographic signals taken from forearm muscle contractions, and try to recognise eight different hand movements. Experimental results demonstrate that evolvable hardware approaches are indeed able to compete with state-of-the-art classifiers. Specifically, one of our evolvable hardware approaches delivers a generalisation performance similar to that of support vector machines.",
• notes = "also known as \cite{4584252}",

}

Genetic Programming entries for Kyrre Harald Glette Thiemo Gruber Paul Kaufmann Jim Torresen Bernhard Sick Marco Platzner

Citations