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Proceedings Paper

Full-body gestures and movements recognition: user descriptive and unsupervised learning approaches in GDL classifier
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Paper Abstract

Gesture Description Language (GDL) is a classifier that enables syntactic description and real time recognition of full-body gestures and movements. Gestures are described in dedicated computer language named Gesture Description Language script (GDLs). In this paper we will introduce new GDLs formalisms that enable recognition of selected classes of movement trajectories. The second novelty is new unsupervised learning method with which it is possible to automatically generate GDLs descriptions. We have initially evaluated both proposed extensions of GDL and we have obtained very promising results. Both the novel methodology and evaluation results will be described in this paper.

Paper Details

Date Published: 23 September 2014
PDF: 12 pages
Proc. SPIE 9217, Applications of Digital Image Processing XXXVII, 921704 (23 September 2014); doi: 10.1117/12.2061171
Show Author Affiliations
Tomasz Hachaj, Pedagogical Univ. of Krakow (Poland)
Marek R. Ogiela, AGH Univ. of Science and Technology (Poland)

Published in SPIE Proceedings Vol. 9217:
Applications of Digital Image Processing XXXVII
Andrew G. Tescher, Editor(s)

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