A Dynamic Gesture Prediction System Based on the CLCS Feature Extraction

Author

Junior, Nestor T. M. ; Barros, Pablo V. A. ; Fernandes, Bruno J. T. ; Bezerra, Byron L. D. ; Fernandes, Sergio M. M.

Author_Institution

Escola Politec. de Pernambuco, Univ. de Pernambuco, Recife, Brazil

fYear

2013

fDate

8-11 Sept. 2013

Firstpage

501

Lastpage

506

Abstract

Real-time recognition of dynamic gestures is a problem for most of the applications nowadays. The prediction approach can be used as a solution for this. This approach uses an incomplete gesture input and it tries to predict which gesture the given input represents. This paper presents the application of the dynamic gesture feature extraction technique called Convexity Local Contour Sequence (CLCS) as the extractor for the prediction task. Two predictor systems are used to achieve this task and results are compared and discussed in this paper.

Keywords

feature extraction; gesture recognition; CLCS feature extraction; convexity local contour sequence; dynamic gesture feature extraction technique; dynamic gesture prediction system; dynamic gesture recognition; Approximation methods; Feature extraction; Gesture recognition; Heuristic algorithms; Hidden Markov models; Predictive models; Vectors;

fLanguage

English

Publisher

ieee

Conference_Titel

Computational Intelligence and 11th Brazilian Congress on Computational Intelligence (BRICS-CCI & CBIC), 2013 BRICS Congress on

Conference_Location

Ipojuca

Type

conf

DOI

10.1109/BRICS-CCI-CBIC.2013.89

Filename

6855898