The full text of this article
Recognition of signed expressions using visually-oriented subunits obtained by an immune-based optimisation
by Mariusz Oszust; Marian Wysocki
International Journal of Data Mining, Modelling and Management (IJDMMM), Vol. 6, No. 2, 2014
Abstract: This paper considers automatic visual recognition of signed expressions. The proposed method is based on modelling gestures with subunits, which is similar to modelling speech by means of phonemes. To define the subunits a data-driven procedure is applied. The procedure consists in partitioning time series, extracted from video, into subsequences which form homogeneous groups. The cut points are determined by an immune optimisation procedure based on quality assessment of the resulting clusters. In this paper the problem is formulated, its solution method is proposed and experimentally verified on a database of 101 Polish words and 35 sentences used at the doctor's and in the post office. The results show that our subunit-based classifier outperforms its whole-word-based counterpart, which is particularly evident when new expressions are recognised on the basis of a small number of examples.
Online publication date: Sun, 06-Jul-2014
is only available to individual subscribers or to users at subscribing institutions.
Go to Inderscience Online Journals to access the Full Text of this article.
Pay per view:
If you are not a subscriber and you just want to read the full contents of this article, buy online access here.
Complimentary Subscribers, Editors or Members of the Editorial Board of the International Journal of Data Mining, Modelling and Management (IJDMMM):
Login with your Inderscience username and password:
Want to subscribe?
A subscription gives you complete access to all articles in the current issue, as well as to all articles in the previous three years (where applicable).
See our Orders page to subscribe.
If you still need assistance, please email firstname.lastname@example.org