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Authors: Damiano Malafronte and Nicoletta Noceti

Affiliation: Università degli Studi di Genova, Italy

ISBN: 978-989-758-090-1

Keyword(s): Natural User Interfaces, Gesture Recognition, Hand Pose Classification, Fingers Detection.

Related Ontology Subjects/Areas/Topics: Applications and Services ; Computer Vision, Visualization and Computer Graphics ; Enterprise Information Systems ; Human and Computer Interaction ; Human-Computer Interaction ; Image and Video Analysis ; Shape Representation and Matching

Abstract: In this paper we consider the problem of recognizing dynamic human gestures in the context of human-machine interaction. We are particularly interested to the so-called Natural User Interfaces, a new modality based on a more natural and intuitive way of interacting with a digital device. In our work, a user can interact with a system by performing a set of encoded hand gestures in front of a webcam. We designed a method that first classifies hand poses guided by a finger detection procedure, and then recognizes known gestures with a syntactic approach. To this purpose, we collected a sequence of hand poses over time, to build a linguistic gesture description. The known gestures are formalized using a generative grammar. Then, at runtime, a parser allows us to perform gesture recognition leveraging on the production rules of the grammar. As for finger detection, we propose a new method which starts from a distance transform of the hand region and iteratively scans such region according to the distance values moving from a fingertip to the hand palm. We experimentally validated our approach, showing both the hand pose classification and gesture recognition performances. (More)

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Paper citation in several formats:
Malafronte, D. and Noceti, N. (2015). Good Practices on Hand Gestures Recognition for the Design of Customized NUI.In Proceedings of the 10th International Conference on Computer Vision Theory and Applications - Volume 2: VISAPP, (VISIGRAPP 2015) ISBN 978-989-758-090-1, pages 360-367. DOI: 10.5220/0005304203600367

@conference{visapp15,
author={Damiano Malafronte. and Nicoletta Noceti.},
title={Good Practices on Hand Gestures Recognition for the Design of Customized NUI},
booktitle={Proceedings of the 10th International Conference on Computer Vision Theory and Applications - Volume 2: VISAPP, (VISIGRAPP 2015)},
year={2015},
pages={360-367},
publisher={SciTePress},
organization={INSTICC},
doi={10.5220/0005304203600367},
isbn={978-989-758-090-1},
}

TY - CONF

JO - Proceedings of the 10th International Conference on Computer Vision Theory and Applications - Volume 2: VISAPP, (VISIGRAPP 2015)
TI - Good Practices on Hand Gestures Recognition for the Design of Customized NUI
SN - 978-989-758-090-1
AU - Malafronte, D.
AU - Noceti, N.
PY - 2015
SP - 360
EP - 367
DO - 10.5220/0005304203600367

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