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Authors: G. Ushaw 1 ; E. Ziogas 1 ; J. Eyre 2 and G. Morgan 1

Affiliations: 1 Newcastle University, United Kingdom ; 2 Royal Victoria Infirmary, United Kingdom

Keyword(s): Human-machine Interfaces for Disabled Persons, Image Processing and Computer Vision.

Related Ontology Subjects/Areas/Topics: Biomedical Engineering ; Health Information Systems ; Human-Machine Interfaces for Disabled Persons ; Therapeutic Systems and Technologies

Abstract: An efficient method for utilising a 2D camera to recognise hand gestures in 3D space is described. The work is presented within the context of a recuperation aid for younger children with impaired movement of the upper limbs on a standard Android tablet device. The hand movement recognition is achieved through attaching brightly coloured models to the child’s fingers, providing easily trackable elements of the image. The application promotes repeated use of specific hand skills identified by the medical profession to stimulate and assess rehabilitation of patients with impaired upper limb dexterity.

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Paper citation in several formats:
Ushaw, G.; Ziogas, E.; Eyre, J. and Morgan, G. (2013). An Efficient Application of Gesture Recognition from a 2D Camera for Rehabilitation of Patients with Impaired Dexterity. In Proceedings of the International Conference on Health Informatics (BIOSTEC 2013) - HEALTHINF; ISBN 978-989-8565-37-2; ISSN 2184-4305, SciTePress, pages 315-318. DOI: 10.5220/0004190103150318

@conference{healthinf13,
author={G. Ushaw. and E. Ziogas. and J. Eyre. and G. Morgan.},
title={An Efficient Application of Gesture Recognition from a 2D Camera for Rehabilitation of Patients with Impaired Dexterity},
booktitle={Proceedings of the International Conference on Health Informatics (BIOSTEC 2013) - HEALTHINF},
year={2013},
pages={315-318},
publisher={SciTePress},
organization={INSTICC},
doi={10.5220/0004190103150318},
isbn={978-989-8565-37-2},
issn={2184-4305},
}

TY - CONF

JO - Proceedings of the International Conference on Health Informatics (BIOSTEC 2013) - HEALTHINF
TI - An Efficient Application of Gesture Recognition from a 2D Camera for Rehabilitation of Patients with Impaired Dexterity
SN - 978-989-8565-37-2
IS - 2184-4305
AU - Ushaw, G.
AU - Ziogas, E.
AU - Eyre, J.
AU - Morgan, G.
PY - 2013
SP - 315
EP - 318
DO - 10.5220/0004190103150318
PB - SciTePress

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