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Authors: Damiano Malafronte and Nicoletta Noceti

Affiliation: Università degli Studi di Genova, Italy

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 accordin g 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 (VISIGRAPP 2015) - Volume 3: VISAPP; ISBN 978-989-758-090-1; ISSN 2184-4321, SciTePress, 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 (VISIGRAPP 2015) - Volume 3: VISAPP},
year={2015},
pages={360-367},
publisher={SciTePress},
organization={INSTICC},
doi={10.5220/0005304203600367},
isbn={978-989-758-090-1},
issn={2184-4321},
}

TY - CONF

JO - Proceedings of the 10th International Conference on Computer Vision Theory and Applications (VISIGRAPP 2015) - Volume 3: VISAPP
TI - Good Practices on Hand Gestures Recognition for the Design of Customized NUI
SN - 978-989-758-090-1
IS - 2184-4321
AU - Malafronte, D.
AU - Noceti, N.
PY - 2015
SP - 360
EP - 367
DO - 10.5220/0005304203600367
PB - SciTePress