Natural Interaction in Medical Training

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Details

This book covers state of the art techniques for health personnel training using natural interfaces, immersive systems and serious games paradigms.
Opening with a comprehensive introduction to the state of immersive visualisation techniques of interaction and simulation used in the industry and training research, the authors then focus on computer vision techniques used to develop realtime training systems effectively, providing recognition of actions and re-identification of persons. Principles of serious gaming applied to immersive natural interfaces are also addressed.
The book culminates with the presentation of two prototypes of immersive systems for natural interaction, that the authors have developed and tested for the training of medical personnel. These prototypes use the principles and the technologies described in the first part of the book. Natural Interaction in Medical Training offers a unique point of view from medical professionals and computer engineers.

This is the first book to focus on natural interaction techniques in this particular context Includes a thorough introductory discussion about the state of immersive visualisation techniques of interaction and simulation A unique point of view is offered, including know-how and experience from medical professionals and computer engineers Includes supplementary material: sn.pub/extras

Inhalt

Introduction.- Natural Interaction for Natural Interfaces.- Case Studies: BLSD (Basic Life Support and Defibrillation) and Surgical Safety Checklist.

Weitere Informationen

  • Allgemeine Informationen
    • GTIN 09783319610351
    • Auflage 1st ed. 2017
    • Lesemotiv Verstehen
    • Anzahl Seiten 82
    • Herausgeber Springer-Verlag GmbH
    • Gewicht 1474g
    • Untertitel Tools and Applications
    • Autor Alberto Del Bimbo , Andrea Ferracani , Daniele Pezzatini , Lorenzo Seidenari
    • Titel Natural Interaction in Medical Training
    • Veröffentlichung 07.12.2017
    • ISBN 978-3-319-61035-1
    • Format Kartonierter Einband
    • EAN 9783319610351
    • Jahr 2017
    • Größe H235mm x B155mm
    • Sprache Englisch

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