Real Time System for Gesture Tracking in Psycho-motorial Rehabilitation

Massimo Magrini; Gabriele Pieri

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Paper

Real Time System for Gesture Tracking in Psycho-motorial Rehabilitation

In Proceedings of the International Conference on Health Informatics - Volume 1: SUPERHEAL, 563-568, 2014 , ESEO, Angers, Loire Valley, France

Authors: Massimo Magrini and Gabriele Pieri

Affiliation: National Research Council, Italy

Keyword(s): Gesture Recognition, Tracking System, Autism Spectrum Disorder, Rehabilitation Systems.

Abstract: In the context of the research activities of the Signal and Images Lab of ISTI-CNR, a system is under development for real-time gesture tracking, to be used in active well-being self-assessment activities and in particular applied to medical coaching and music-therapy. The system uses a video camera, a FireWire digitalization board, and a computer running own developed software. During the test sessions a person freely moves his body inside a specifically designed room. The developed algorithms can extrapolate features from the human figure, such us spatial position, arms and legs angles etc. Through the developed system the operator can link these features to sounds synthesized in real time, following a predefined schema. The system latency is very low thanks to the use of Mac OS X native libraries (CoreImage, CoreAudio). The resulting augmented interaction with the environment could help to improve the contact with reality in young subjects affected by autism spectrum disorders (AS D). (More)

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Paper citation in several formats:

Magrini, M. and Pieri, G. (2014). Real Time System for Gesture Tracking in Psycho-motorial Rehabilitation. In Proceedings of the International Conference on Health Informatics (BIOSTEC 2014) - SUPERHEAL; ISBN 978-989-758-010-9; ISSN 2184-4305, SciTePress, pages 563-568. DOI: 10.5220/0004937205630568

@conference{superheal14,
author={Massimo Magrini. and Gabriele Pieri.},
title={Real Time System for Gesture Tracking in Psycho-motorial Rehabilitation},
booktitle={Proceedings of the International Conference on Health Informatics (BIOSTEC 2014) - SUPERHEAL},
year={2014},
pages={563-568},
publisher={SciTePress},
organization={INSTICC},
doi={10.5220/0004937205630568},
isbn={978-989-758-010-9},
issn={2184-4305},
}

TY - CONF

JO - Proceedings of the International Conference on Health Informatics (BIOSTEC 2014) - SUPERHEAL
TI - Real Time System for Gesture Tracking in Psycho-motorial Rehabilitation
SN - 978-989-758-010-9
IS - 2184-4305
AU - Magrini, M.
AU - Pieri, G.
PY - 2014
SP - 563
EP - 568
DO - 10.5220/0004937205630568
PB - SciTePress