Authors:
C. Iacopino
;
Anna Montesanto
;
Paola Baldassarri
;
A. F. Dragoni
and
P. Puliti
Affiliation:
DEIT, Università Politecnica delle Marche, Italy
Keyword(s):
Gesture recognition, real time video tracking, neural networks, user interface.
Related
Ontology
Subjects/Areas/Topics:
Human-Machine Interface
;
Multimedia
;
Multimedia Databases, Indexing, Recognition and Retrieval
;
Multimedia Systems and Applications
;
Telecommunications
Abstract:
The purpose of the developed system is the realization of a gesture recognizer, applied to a user interface. We tried to get fast and easy software for user, without leaving out reliability and using instruments available to common user: a PC and a webcam. The gesture detection is based on well-known artificial vision techniques, as the tracking algorithm by Lucas and Kanade. The paths, opportunely selected, are recognized by a double layered architecture of multilayer perceptrons. The realized system is efficiency and has a good robustness, paying attention to an adequate learning of gesture vocabulary both for the user and for system.