Naslov
Hand shape classification using DTW and LCSS as similarity measures for vision-based gesture recognition system

Autori
Kuzmanić, Ana ; Zanchi, Vlasta

Vrsta, podvrsta i kategorija rada
Radovi u zbornicima skupova, cjeloviti rad (in extenso), znanstveni

Izvornik
The IEEE Region 8 EUROCON 2007 : International conference on "Computer as a tool" : Proceedings / Zajc, B. ; Kaczorek, T. ; Kleiber, M. ; Kurnik, W. ; Remy, J-G. - Varšava : Institute of Electrical and Electronics Engineers (IEEE), 2007, 264-269

ISBN
1-4244-0813-X

Skup
The IEEE Region 8 EUROCON 2007 : International conference on "Computer as a tool"

Mjesto i datum
Varšava, Poljska, 09.09.2007. - 12.09.2007

Vrsta sudjelovanja
Poster

Vrsta recenzije
Međunarodna recenzija

Ključne riječi
prepoznavanje; klasifikacija; mjere sličnosti; reprezentacija; znakovni jezik
(image recognition; image classification; similarity measures; image representation; sign language)

Sažetak
In this paper an approach to classify hand shapes into different classes according to the similarity measures between features is proposed. We show how to use an Exploratory Data Analysis to extract novel, single feature of hand from images. Based on the obtained curve-like shape of the feature, hands are classified into one of 21 possible classes of Croatian sign language using Dynamic Time Warping and Longest Common Subsequence as similarity measures. Performance of the system was evaluated with 1260 images. Results show that high classification accuracy can be obtained from a single feature recognition and a small number of training sample.

Izvorni jezik
Engleski

Znanstvena područja
Elektrotehnika

POVEZANOST RADA