Give Me a Sign : A Person Independent Interactive Sign Dictionary

Cooper, H, Ong, E-J and Bowden, R (2011) Give Me a Sign : A Person Independent Interactive Sign Dictionary [Report]

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Abstract

This paper presents a method to perform person independent sign recognition. This is achieved by implementing generalising features based on sign linguistics. These are combined using two methods. The first is traditional Markov models, which are shown to lack the required generalisation. The second is a discriminative approach called Sequential Pattern Boosting, which combines feature selection with learning. The resulting system is introduced as a dictionary application, allowing signers to query by performing a sign in front of a Kinect. Two data sets are used and results shown for both, with the query-return rate reaching 99.9% on a 20 sign multi-user dataset and 85.1% on a more challenging and realistic subject independent, 40 sign test set.

Item Type:	Report
Divisions :	Surrey research (other units)
Authors :	Name Email ORCID Cooper, H helen.cooper@surrey.ac.uk Ong, E-J Bowden, R
Date :	October 2011
Related URLs :	Publisher
Depositing User :	Symplectic Elements
Date Deposited :	17 May 2017 12:37
Last Modified :	23 Jan 2020 11:04
URI:	http://epubs.surrey.ac.uk/id/eprint/836050

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