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Automatic Image Collection of Objects with Similar Function by Learning Human Grasping Forms Read chapter Read first chapter

2015 | OriginalPaper | Chapter

A Real Time Gesture Recognition System for Human Computer Interaction

Authors : Carmela Attolico, Grazia Cicirelli, Cataldo Guaragnella, Tiziana D’Orazio

Published in: Multimodal Pattern Recognition of Social Signals in Human-Computer-Interaction

Publisher: Springer International Publishing

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Abstract

Every form of human gesture has been recognized in the literature as a means of providing natural and intuitive ways to interact with computers across many computer application domains. In this paper we propose a real time gesture recognition approach which uses a depth sensor to extract the initial human skeleton. Then, robust and significant features have been compared and the most unrelated and representative features have been selected and fed to a set of supervised classifiers trained to recognize different gestures. Different problems concerning the gesture initialization, segmentation, and normalization have been considered. Several experiments have demonstrated that the proposed approach works effectively in real time applications.

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previous chapter uulmMAD – A Human Action Recognition Dataset for Ground-Truth Evaluation and Investigation of View Invariances
next chapter A SIFT-Based Feature Level Fusion of Iris and Ear Biometrics
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Metadata
Title
A Real Time Gesture Recognition System for Human Computer Interaction
Authors
Carmela Attolico
Grazia Cicirelli
Cataldo Guaragnella
Tiziana D’Orazio
Copyright Year
2015
Book
Multimodal Pattern Recognition of Social Signals in Human-Computer-Interaction

Print ISBN: 978-3-319-14898-4

Electronic ISBN: 978-3-319-14899-1

Copyright Year: 2015

DOI
https://doi.org/10.1007/978-3-319-14899-1_9

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