A sequential algorithm for recognition of a developing pattern with application in orthotic engineering

Authors:
R. Willink
Affiliations:
Industrial Research Ltd., P.O. Box 31-310, Lower Hutt 5040, New Zealand
Venue:
Pattern Recognition
Year:
2008

Citing 3
Cited 0

Applied multivariate statistical analysis

Applied multivariate statistical analysis
How many samples are needed to build a classifier: a general sequential approach

Bioinformatics
Myopic Policies in Sequential Classification

IEEE Transactions on Computers

Quantified Score

Hi-index	0.01

Visualization

Abstract

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.