Szczegóły publikacji
Opis bibliograficzny
Full-body gestures and movements recognition: user descriptive and unsupervised learning approaches in GDL classifier / Tomasz Hachaj, Marek R. OGIELA // W: Applications of digital image processing XXXVII : 18-21 August 2014, San Diego, California, United States / ed. Andrew G. Tescher ; SPIE – The International Society for Optical Engineering. — Bellingham ; Washington : SPIE, cop. 2014. — (Proceedings of SPIE / The International Society for Optical Engineering ; ISSN 0277-786X ; vol. 9217). — ISBN: 9781628412444. — s. 921704-1–921704-12. — Bibliogr. s. 921704-9–921704-10, Abstr.
Autorzy (2)
- Hachaj Tomasz
- AGHOgiela Marek
Słowa kluczowe
Dane bibliometryczne
| ID BaDAP | 85986 |
|---|---|
| Data dodania do BaDAP | 2014-11-20 |
| DOI | 10.1117/12.2061171 |
| Rok publikacji | 2014 |
| Typ publikacji | materiały konferencyjne (aut.) |
| Otwarty dostęp |  |
| Konferencja | Conference on Applications of Digital Image Processing XXXVII Location: San Diego, CA |
| Czasopismo/seria | Proceedings of SPIE / The International Society for Optical Engineering |
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.
