Comparison of gesture and conventional interaction techniques for interventional neuroradiology

Comparison of gesture and conventional interaction techniques for interventional neuroradiology Int J CARS (2017) 12:1643–1653 DOI 10.1007/s11548-017-1523-7 ORIGINAL ARTICLE Comparison of gesture and conventional interaction techniques for interventional neuroradiology 1 1 1 Julian Hettig · Patrick Saalfeld · Maria Luz · 2 2 1 Mathias Becker · Martin Skalej · Christian Hansen Received: 8 September 2016 / Accepted: 6 January 2017 / Published online: 24 January 2017 © CARS 2017 Abstract future work should consider task characteristics to provide a Purpose Interaction with radiological image data and vol- useful gesture interface for a specific use case instead of an ume renderings within a sterile environment is a challenging all-in-one solution. task. Clinically established methods such as joystick control and task delegation can be time-consuming and error-prone Keywords Human–computer interaction · Evaluation · and interrupt the workflow. New touchless input modalities Interventional neuroradiology · Image-guided interventions may have the potential to overcome these limitations, but their value compared to established methods is unclear. Methods We present a comparative evaluation to analyze Introduction the value of two gesture input modalities (Myo Gesture Control Armband and Leap Motion Controller) versus two Interventional radiology is an increasingly important branch clinically established methods (task delegation and joystick of radiology, enabling minimally invasive procedures to http://www.deepdyve.com/assets/images/DeepDyve-Logo-lg.png International Journal of Computer Assisted Radiology and Surgery Springer Journals

Comparison of gesture and conventional interaction techniques for interventional neuroradiology

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Publisher
Springer International Publishing
Copyright
Copyright © 2017 by CARS
Subject
Medicine & Public Health; Imaging / Radiology; Surgery; Health Informatics; Computer Imaging, Vision, Pattern Recognition and Graphics; Computer Science, general
ISSN
1861-6410
eISSN
1861-6429
D.O.I.
10.1007/s11548-017-1523-7
Publisher site
See Article on Publisher Site

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