Result: A sequential algorithm for recognition of a developing pattern with application in orthotic engineering
Title:
A sequential algorithm for recognition of a developing pattern with application in orthotic engineering
Authors:
Source:
Pattern recognition. 41(2):627-636
Publisher Information:
Oxford: Elsevier Science, 2008.
Publication Year:
2008
Physical Description:
print, 20 ref
Original Material:
INIST-CNRS
Subject Terms:
Computer science, Informatique, Telecommunications, Télécommunications, Sciences exactes et technologie, Exact sciences and technology, Sciences appliquees, Applied sciences, Informatique; automatique theorique; systemes, Computer science; control theory; systems, Intelligence artificielle, Artificial intelligence, Reconnaissance des formes. Traitement numérique des images. Géométrie algorithmique, Pattern recognition. Digital image processing. Computational geometry, Telecommunications et theorie de l'information, Telecommunications and information theory, Théorie de l'information, du signal et des communications, Information, signal and communications theory, Traitement du signal, Signal processing, Reconnaissance des formes, Pattern recognition, Algorithme, Algorithm, Algoritmo, Discrimination, Discriminación, Gant sensitif, Data gloves, Moyenne mobile, Moving average, Promedio móvil, Méthode séquentielle, Sequential method, Método secuencial, Observation aberrante, Outlier, Observación aberrante, Orthèse, Orthosis, Ortesis, Plus proche voisin, Nearest neighbour, Vecino más cercano, Préhension, Gripping, Prension, Reconnaissance forme, Pattern recognition, Reconocimiento patrón, Similitude, Similarity, Similitud, Distance de Mahalanobis, Mahalanobis distance, Classification, Exponential smoothing, Grip recognition, Intention recognition, Outliers, Sequential classification, Sequential discrimination, Tetraplegia, k nearest neighbours
Document Type:
Academic journal
Article
File Description:
text
Language:
English
Author Affiliations:
Industrial Research Ltd., P.O. Box 31-310, Lower Hutt 5040, New Zealand
ISSN:
0031-3203
Rights:
Copyright 2007 INIST-CNRS
CC BY 4.0
Sauf mention contraire ci-dessus, le contenu de cette notice bibliographique peut être utilisé dans le cadre d’une licence CC BY 4.0 Inist-CNRS / Unless otherwise stated above, the content of this bibliographic record may be used under a CC BY 4.0 licence by Inist-CNRS / A menos que se haya señalado antes, el contenido de este registro bibliográfico puede ser utilizado al amparo de una licencia CC BY 4.0 Inist-CNRS
CC BY 4.0
Sauf mention contraire ci-dessus, le contenu de cette notice bibliographique peut être utilisé dans le cadre d’une licence CC BY 4.0 Inist-CNRS / Unless otherwise stated above, the content of this bibliographic record may be used under a CC BY 4.0 licence by Inist-CNRS / A menos que se haya señalado antes, el contenido de este registro bibliográfico puede ser utilizado al amparo de una licencia CC BY 4.0 Inist-CNRS
Notes:
Computer science; theoretical automation; systems
Telecommunications and information theory
Telecommunications and information theory
Accession Number:
edscal.19163970
Database:
PASCAL Archive
Further Information
This paper describes an algorithm for the recognition of the type of grip being formed by a subject wearing an intelligent orthotic glove. The signal is a growing multivariate sequence to be correctly classified as soon as the data permit, so the task may be called one of sequential classification or sequential discrimination. The algorithm uses a variant of the 'k nearest neighbours' principle with the dissimilarity measure being an exponentially weighted moving average of distances of the Mahalanobis type. The approach taken seems suitable for other problems of this kind.